1
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Ginley-Hidinger M, Abewe H, Osborne K, Richey A, Kitchen N, Mortenson KL, Wissink EM, Lis J, Zhang X, Gertz J. Cis-regulatory control of transcriptional timing and noise in response to estrogen. Cell Genom 2024; 4:100542. [PMID: 38663407 PMCID: PMC11099348 DOI: 10.1016/j.xgen.2024.100542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 10/26/2023] [Accepted: 03/27/2024] [Indexed: 05/07/2024]
Abstract
Cis-regulatory elements control transcription levels, temporal dynamics, and cell-cell variation or transcriptional noise. However, the combination of regulatory features that control these different attributes is not fully understood. Here, we used single-cell RNA-seq during an estrogen treatment time course and machine learning to identify predictors of expression timing and noise. We found that genes with multiple active enhancers exhibit faster temporal responses. We verified this finding by showing that manipulation of enhancer activity changes the temporal response of estrogen target genes. Analysis of transcriptional noise uncovered a relationship between promoter and enhancer activity, with active promoters associated with low noise and active enhancers linked to high noise. Finally, we observed that co-expression across single cells is an emergent property associated with chromatin looping, timing, and noise. Overall, our results indicate a fundamental tradeoff between a gene's ability to quickly respond to incoming signals and maintain low variation across cells.
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Affiliation(s)
- Matthew Ginley-Hidinger
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Hosiana Abewe
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Kyle Osborne
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Alexandra Richey
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Noel Kitchen
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Katelyn L Mortenson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Erin M Wissink
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - John Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Xiaoyang Zhang
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Jason Gertz
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA; Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA.
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2
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Takeuchi H, Matsuishi TF, Hayakawa T. A tradeoff evolution between acoustic fat bodies and skull muscles in toothed whales. Gene 2024; 901:148167. [PMID: 38224921 DOI: 10.1016/j.gene.2024.148167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
Toothed whales have developed specialized echolocation abilities that are crucial for underwater activities. Acoustic fat bodies, including the melon, extramandibular fat body, and intramandibular fat body, are vital for echolocation. This study explores the transcriptome of acoustic fat bodies in toothed whales, revealing some insight into their evolutionary origins and ecological significance. Comparative transcriptome analysis of acoustic fat bodies and related tissues in a harbor porpoise and a Pacific white-sided dolphin reveals that acoustic fat bodies possess characteristics of both muscle and adipose tissue, occupying an intermediate position. The melon and extramandibular fat body exhibit specific muscle-related functions, implying an evolutionary connection between acoustic fat bodies and muscle tissue. Furthermore, we suggested that the melon and extramandibular fat body originate from intramuscular adipose tissue, a component of white adipose tissue. The extramandibular fat body has been identified as an evolutionary homolog of the masseter muscle, supported by the specific expression of MYH16, a pivotal protein in masticatory muscles. The intramandibular fat body, located within the mandibular foramen, shows possibilities of the presence of several immune-related functions, likely due to its proximity to bone marrow. Furthermore, this study sheds light on leucine modification in the catabolic pathway, which leads to the accumulation of isovaleric acid in acoustic fat bodies. Swallowing without chewing, a major toothed whale feeding ecology adaptation, makes the masticatory muscle redundant and leads to the formation of the extramandibular fat body. We propose that the intramuscular fat enlargement in facial muscles, which influences acoustic fat body development, is potentially related to the substantial reorganization of head morphology in toothed whales during aquatic adaptation.
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Affiliation(s)
- Hayate Takeuchi
- Division of Biosphere Science, Graduate School of Environmental Science, Hokkaido University, N10W5, Sapporo, Hokkaido 060-0810, Japan
| | - Takashi Fritz Matsuishi
- Global Center for Food, Land and Water Resources, Faculty of Fisheries Sciences, Hokkaido University, 3-1-1, Minato, Hakodate, Hokkaido 041-8611, Japan
| | - Takashi Hayakawa
- Section of Environmental Biology, Faculty of Environmental Earth Science, Hokkaido University, N10W5, Sapporo, Hokkaido 060-0810, Japan.
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Andrade F, Howell L, Percival CJ, Richtsmeier JT, Marcucio RS, Hallgrímsson B, Cheverud JM. Genetic architecture of trait variance in craniofacial morphology. Genetics 2024; 226:iyae028. [PMID: 38386896 PMCID: PMC11090463 DOI: 10.1093/genetics/iyae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 12/19/2023] [Accepted: 01/26/2024] [Indexed: 02/24/2024] Open
Abstract
The genetic architecture of trait variance has long been of interest in genetics and evolution. One of the earliest attempts to understand this architecture was presented in Lerner's Genetic Homeostasis (1954). Lerner proposed that heterozygotes should be better able to tolerate environmental perturbations because of functional differences between the alleles at a given locus, with each allele optimal for slightly different environments. This greater robustness to environmental variance, he argued, would result in smaller trait variance for heterozygotes. The evidence for Lerner's hypothesis has been inconclusive. To address this question using modern genomic methods, we mapped loci associated with differences in trait variance (vQTL) on 1,101 individuals from the F34 of an advanced intercross between LG/J and SM/J mice. We also mapped epistatic interactions for these vQTL in order to understand the influence of epistasis for the architecture of trait variance. We did not find evidence supporting Lerner's hypothesis, that heterozygotes tend to have smaller trait variances than homozygotes. We further show that the effects of most mapped loci on trait variance are produced by epistasis affecting trait means and that those epistatic effects account for about a half of the differences in genotypic-specific trait variances. Finally, we propose a model where the different interactions between the additive and dominance effects of the vQTL and their epistatic partners can explain Lerner's original observations but can also be extended to include other conditions where heterozygotes are not the least variable genotype.
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Affiliation(s)
- Fernando Andrade
- Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA
| | - Lisa Howell
- Department of Anthropology, Penn State University, University Park, PA 16802, USA
| | | | - Joan T Richtsmeier
- Department of Anthropology, Penn State University, University Park, PA 16802, USA
| | - Ralph S Marcucio
- Department of Orthopedic Surgery, School of Medicine, University of California San Francisco, San Francisco, CA 94110, USA
| | - Benedikt Hallgrímsson
- Department of Cell Biology and Anatomy, Cumming School of Medicine, Alberta Children's Hospital Research Institute and McCaig Bone and Joint Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - James M Cheverud
- Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA
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El Kassaby B, Castellanos F, Gerring M, Kunde-Ramamoorthy G, Bult CJ. MVAR: A Mouse Variation Registry. J Mol Biol 2024:168518. [PMID: 38458603 DOI: 10.1016/j.jmb.2024.168518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/01/2024] [Indexed: 03/10/2024]
Abstract
The Mouse Variation Registry (MVAR) resource is a scalable registry of mouse single nucleotide variants and small indels and variant annotation. The resource accepts data in standard Variant Call Format (VCF) and assesses the uniqueness of the submitted variants via a canonicalization process. Novel variants are assigned a unique, persistent MVAR identifier; variants that are equivalent to an existing variant in the resource are associated with the existing identifier. Annotations for variant type, molecular consequence, impact, and genomic region in the context of specific transcripts and protein sequences are generated using Ensembl's Variant Effect Predictor (VEP) and Jannovar. Access to the data and annotations in MVAR are supported via an Application Programming Interface (API) and web application. Researchers can search the resource by gene symbol, genomic region, variant (expressed in Human Genome Variation Society syntax), refSNP identifiers, or MVAR identifiers. Tabular search results can be filtered by variant annotations (variant type, molecular consequence, impact, variant region) and viewed according to variant distribution across mouse strains. The registry currently comprises more than 99 million canonical single nucleotide variants for 581 strains of mice. MVAR is accessible from https://mvar.jax.org.
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Ohkawara B, Tomita H, Inoue T, Zhang S, Kanbara S, Koshimizu H, Miyasaka Y, Takeda JI, Nishiwaki H, Nakashima H, Ito M, Masuda A, Ishiguro N, Ogi T, Ohno T, Imagama S, Ohno K. Calcitriol ameliorates motor deficits and prolongs survival of Chrne-deficient mouse, a model for congenital myasthenic syndrome, by inducing Rspo2. Neurotherapeutics 2024; 21:e00318. [PMID: 38233267 DOI: 10.1016/j.neurot.2024.e00318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/19/2024] Open
Abstract
Signal transduction at the neuromuscular junction (NMJ) is compromised in a diverse array of diseases including congenital myasthenic syndromes (CMS). Germline mutations in CHRNE encoding the acetylcholine receptor (AChR) ε subunit are the most common cause of CMS. An active form of vitamin D, calcitriol, binds to vitamin D receptor (VDR) and regulates gene expressions. We found that calcitriol enhanced MuSK phosphorylation, AChR clustering, and myotube twitching in co-cultured C2C12 myotubes and NSC34 motor neurons. RNA-seq analysis of co-cultured cells showed that calcitriol increased the expressions of Rspo2, Rapsn, and Dusp6. ChIP-seq of VDR revealed that VDR binds to a region approximately 15 kbp upstream to Rspo2. Biallelic deletion of the VDR-binding site of Rspo2 by CRISPR/Cas9 in C2C12 myoblasts/myotubes nullified the calcitriol-mediated induction of Rspo2 expression and MuSK phosphorylation. We generated Chrne knockout (Chrne KO) mouse by CRISPR/Cas9. Intraperitoneal administration of calcitriol markedly increased the number of AChR clusters, as well as the area, the intensity, and the number of synaptophysin-positive synaptic vesicles, in Chrne KO mice. In addition, calcitriol ameliorated motor deficits and prolonged survival of Chrne KO mice. In the skeletal muscle, calcitriol increased the gene expressions of Rspo2, Rapsn, and Dusp6. We propose that calcitriol is a potential therapeutic agent for CMS and other diseases with defective neuromuscular signal transmission.
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Affiliation(s)
- Bisei Ohkawara
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan.
| | - Hiroyuki Tomita
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Taro Inoue
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shaochuan Zhang
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shunsuke Kanbara
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroyuki Koshimizu
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuki Miyasaka
- Department of Genetics, Research Institute of Environmental Medicine (RIeM), Nagoya University, Nagoya, Japan
| | - Jun-Ichi Takeda
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroshi Nishiwaki
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroaki Nakashima
- Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mikako Ito
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akio Masuda
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Ishiguro
- Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tomoo Ogi
- Department of Genetics, Research Institute of Environmental Medicine (RIeM), Nagoya University, Nagoya, Japan
| | - Tamio Ohno
- Division of Experimental Animals, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shiro Imagama
- Department of Orthopedic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kinji Ohno
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan.
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Ginley-Hidinger M, Abewe H, Osborne K, Richey A, Kitchen N, Mortenson KL, Wissink EM, Lis J, Zhang X, Gertz J. Cis-regulatory control of transcriptional timing and noise in response to estrogen. bioRxiv 2024:2023.03.14.532457. [PMID: 36993565 PMCID: PMC10054948 DOI: 10.1101/2023.03.14.532457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Cis-regulatory elements control transcription levels, temporal dynamics, and cell-cell variation or transcriptional noise. However, the combination of regulatory features that control these different attributes is not fully understood. Here, we used single cell RNA-seq during an estrogen treatment time course and machine learning to identify predictors of expression timing and noise. We find that genes with multiple active enhancers exhibit faster temporal responses. We verified this finding by showing that manipulation of enhancer activity changes the temporal response of estrogen target genes. Analysis of transcriptional noise uncovered a relationship between promoter and enhancer activity, with active promoters associated with low noise and active enhancers linked to high noise. Finally, we observed that co-expression across single cells is an emergent property associated with chromatin looping, timing, and noise. Overall, our results indicate a fundamental tradeoff between a gene's ability to quickly respond to incoming signals and maintain low variation across cells.
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Affiliation(s)
- Matthew Ginley-Hidinger
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Hosiana Abewe
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Kyle Osborne
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Alexandra Richey
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Noel Kitchen
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Katelyn L. Mortenson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Erin M. Wissink
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - John Lis
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Xiaoyang Zhang
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Jason Gertz
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
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Tanaka Y, Mizuguchi R, Koseki N, Suzuki H, Suzuki T. Quality assessment of enzymatic methyl-seq library constructed using crude cell lysate. Biochem Biophys Res Commun 2024; 696:149488. [PMID: 38219485 DOI: 10.1016/j.bbrc.2024.149488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 01/05/2024] [Indexed: 01/16/2024]
Abstract
Enzymatic methyl-seq (EM-seq), an enzyme-based method, identifies genome-wide DNA methylation, which enables us to obtain reliable methylome data from purified genomic DNA by avoiding bisulfite-induced DNA damage. However, the loss of DNA during purification hinders the methylome analysis of limited samples. The crude DNA extraction method is the quickest and minimal sample loss approach for obtaining useable DNA without requiring additional dissolution and purification. However, it remains unclear whether crude DNA can be used directly for EM-seq library construction. In this study, we aimed to assess the quality of EM-seq libraries prepared directly using crude DNA. The crude DNA-derived libraries provided appropriate fragment sizes and concentrations for sequencing similar to those of the purified DNA-derived libraries. However, the sequencing results of crude samples exhibited lower reference sequence mapping efficiencies than those of the purified samples. Additionally, the lower-input crude DNA-derived sample exhibited a marginally lower cytosine-to-thymine conversion efficiency and hypermethylated pattern around gene regulatory elements than the higher-input crude DNA- or purified DNA-derived samples. In contrast, the methylation profiles of the crude and purified samples exhibited a significant correlation. Our findings indicate that crude DNA can be used as a raw material for EM-seq library construction.
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Affiliation(s)
- Yuki Tanaka
- Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences (IMS), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.
| | - Risa Mizuguchi
- Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences (IMS), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan; Graduate School of Medical Life Science, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.
| | - Norio Koseki
- Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences (IMS), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan; Graduate School of Medical Life Science, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.
| | - Harukazu Suzuki
- Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences (IMS), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.
| | - Takahiro Suzuki
- Laboratory for Cellular Function Conversion Technology, RIKEN Center for Integrative Medical Sciences (IMS), RIKEN Yokohama Campus, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan; Department of Obstetrics & Gynecology, Juntendo University Faculty of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
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Neyroud AS, Rolland AD, Lecuyer G, Evrard B, Alary N, Dejucq-Rainsford N, Bujan L, Ravel C, Chalmel F. Sperm DNA methylation dynamics after chemotherapy: a longitudinal study of a patient with testicular germ cell tumor treatment. Andrology 2024; 12:396-409. [PMID: 37354024 DOI: 10.1111/andr.13485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 05/26/2023] [Accepted: 06/19/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND An important issue for young men affected by testicular germ cell tumor (TGCT) is how TGCT and its treatment will affect, transiently or permanently, their future reproductive health. Previous studies have reported that xenobiotics can induce changes on human sperm epigenome and have the potential to promote epigenetic alterations in the offspring. OBJECTIVES Here, we report the first longitudinal DNA methylation profiling of frozen sperm from a TGCT patient before and up to 2 years after a bleomycin, etoposide, and cisplatin (BEP) chemotherapy. MATERIALS AND METHODS A TGCT was diagnosed in a 30-year-old patient. A cryopreservation of spermatozoa was proposed before adjuvant BEP treatment. Semen samples were collected before and after chemotherapy at 6, 9, 12, and 24 months. The DNA methylation status was determined by RRBS to detect DNA differentially methylated regions (DMRs). RESULTS The analysis revealed that among the 74 DMRs showing modified methylation status 6 months after therapy, 17 remained altered 24 months after treatment. We next associated DMRs with differentially methylated genes (DMGs), which were subsequently intersected with loci known to be important or expressed during early development. DISCUSSION AND CONCLUSION The consequences of the cancer treatment on the sperm epigenome during the recovery periods are topical issues of increasing significance as epigenetic modifications to the paternal genome may have deleterious effects on the offspring. The altered methylated status of these DMGs important for early development might modify their expression pattern and thus affect their function during key stages of embryogenesis, potentially leading to developmental disorders or miscarriages.
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Affiliation(s)
- Anne-Sophie Neyroud
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
- CHU de Rennes, Département de Gynécologie Obstétrique Reproduction-CECOS, Rennes, France
| | - Antoine Dominique Rolland
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Gwendoline Lecuyer
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Bertrand Evrard
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Nathan Alary
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Nathalie Dejucq-Rainsford
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
| | - Louis Bujan
- Développement Embryonnaire, Fertilité, Environnement (DEFE), UMR Inserm 1203 Université Toulouse 3 et Montpellier, Toulouse, France
- CECOS, Groupe d'activité de médecine de la reproduction, Hôpital Paule de Viguier, CHU Toulouse, Toulouse, France
| | - Célia Ravel
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
- CHU de Rennes, Département de Gynécologie Obstétrique Reproduction-CECOS, Rennes, France
| | - Frédéric Chalmel
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
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9
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Kawato S, Nozaki R, Kondo H, Hirono I. Integrase-associated niche differentiation of endogenous large DNA viruses in crustaceans. Microbiol Spectr 2024; 12:e0055923. [PMID: 38063384 PMCID: PMC10871703 DOI: 10.1128/spectrum.00559-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 11/15/2023] [Indexed: 01/13/2024] Open
Abstract
IMPORTANCE Crustacean genomes harbor sequences originating from a family of large DNA viruses called nimaviruses, but it is unclear why they are present. We show that endogenous nimaviruses selectively insert into repetitive sequences within the host genome, and this insertion specificity was correlated with different types of integrases, which are DNA recombination enzymes encoded by the nimaviruses themselves. This suggests that endogenous nimaviruses have colonized various genomic niches through the acquisition of integrases with different insertion specificities. Our results point to a novel survival strategy of endogenous large DNA viruses colonizing the host genomes. These findings may clarify the evolution and spread of nimaviruses in crustaceans and lead to measures to control and prevent the spread of pathogenic nimaviruses in aquaculture settings.
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Affiliation(s)
- Satoshi Kawato
- Laboratory of Genome Science, Tokyo University of Marine Science and Technology, Tokyo, Japan
| | - Reiko Nozaki
- Laboratory of Genome Science, Tokyo University of Marine Science and Technology, Tokyo, Japan
| | - Hidehiro Kondo
- Laboratory of Genome Science, Tokyo University of Marine Science and Technology, Tokyo, Japan
| | - Ikuo Hirono
- Laboratory of Genome Science, Tokyo University of Marine Science and Technology, Tokyo, Japan
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10
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Yu C, Zhao Y, Zhao C, Jin J, Mao K, Wang G. MiniDBG: A Novel and Minimal De Bruijn Graph for Read Mapping. IEEE/ACM Trans Comput Biol Bioinform 2024; 21:129-142. [PMID: 38060353 DOI: 10.1109/tcbb.2023.3340251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
The De Bruijn graph (DBG) has been widely used in the algorithms for indexing or organizing read and reference sequences in bioinformatics. However, a DBG model that can locate each node, edge and path on sequence has not been proposed so far. Recently, DBG has been used for representing reference sequences in read mapping tasks. In this process, it is not a one-to-one correspondence between the paths of DBG and the substrings of reference sequence. This results in the false path on DBG, which means no substrings of reference producing the path. Moreover, if a candidate path of a read is true, we need to locate it and verify the candidate on sequence. To solve these problems, we proposed a DBG model, called MiniDBG, which stores the position lists of a minimal set of edges. With the position lists, MiniDBG can locate any node, edge and path efficiently. We also proposed algorithms for generating MiniDBG based on an original DBG and algorithms for locating edges or paths on sequence. We designed and ran experiments on real datasets for comparing them with BWT-based and position list-based methods. The experimental results show that MiniDBG can locate the edges and paths efficiently with lower memory costs.
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11
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Li B, Liu S, Zheng W, Liu A, Yu P, Wu D, Zhou J, Zhang P, Liu C, Lin Q, Ye J, He S, Huang Q, Zhou H, Chen J, Qu L, Yang J. RIP-PEN-seq identifies a class of kink-turn RNAs as splicing regulators. Nat Biotechnol 2024; 42:119-131. [PMID: 37037902 DOI: 10.1038/s41587-023-01749-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 03/13/2023] [Indexed: 04/12/2023]
Abstract
A kink-turn (K-turn) is a three-dimensional RNA structure that exists in all three primary phylogenetic domains. In this study, we developed the RIP-PEN-seq method to identify the full-length sequences of RNAs bound by the K-turn binding protein 15.5K and discovered a previously uncharacterized class of RNAs with backward K-turn motifs (bktRNAs) in humans and mice. All bktRNAs share two consensus sequence motifs at their fixed terminal position and have complex folding properties, expression and evolution patterns. We found that a highly conserved bktRNA1 guides the methyltransferase fibrillarin to install RNA methylation of U12 small nuclear RNA in humans. Depletion of bktRNA1 causes global splicing dysregulation of U12-type introns by impairing the recruitment of ZCRB1 to the minor spliceosome. Most bktRNAs regulate the splicing of local introns by interacting with the 15.5K protein. Taken together, our findings characterize a class of small RNAs and uncover another layer of gene expression regulation that involves crosstalk among bktRNAs, RNA splicing and RNA methylation.
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Affiliation(s)
- Bin Li
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Shurong Liu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Wujian Zheng
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Anrui Liu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Peng Yu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Di Wu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Jie Zhou
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Ping Zhang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Chang Liu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Qiao Lin
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Jiayi Ye
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Simeng He
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Qiaojuan Huang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Hui Zhou
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jianjun Chen
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, USA
| | - Lianghu Qu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
| | - Jianhua Yang
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
- The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
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12
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Lee YH, Abueg L, Kim JK, Kim YW, Fedrigo O, Balacco J, Formenti G, Howe K, Tracey A, Wood J, Thibaud-Nissen F, Nam BH, No ES, Kim HR, Lee C, Jarvis ED, Kim H. Chromosome-level genome assembly of chub mackerel (Scomber japonicus) from the Indo-Pacific Ocean. Sci Data 2023; 10:880. [PMID: 38066002 PMCID: PMC10709322 DOI: 10.1038/s41597-023-02782-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
Chub mackerels (Scomber japonicus) are a migratory marine fish widely distributed in the Indo-Pacific Ocean. They are globally consumed for their high Omega-3 content, but their population is declining due to global warming. Here, we generated the first chromosome-level genome assembly of chub mackerel (fScoJap1) using the Vertebrate Genomes Project assembly pipeline with PacBio HiFi genomic sequencing and Arima Hi-C chromosome contact data. The final assembly is 828.68 Mb with 24 chromosomes, nearly all containing telomeric repeats at their ends. We annotated 31,656 genes and discovered that approximately 2.19% of the genome contained DNA transposon elements repressed within duplicated genes. Analyzing 5-methylcytosine (5mC) modifications using HiFi reads, we observed open/close chromatin patterns at gene promoters, including the FADS2 gene involved in Omega-3 production. This chromosome-level reference genome provides unprecedented opportunities for advancing our knowledge of chub mackerels in biology, industry, and conservation.
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Affiliation(s)
- Young Ho Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Linelle Abueg
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Jin-Koo Kim
- Department of Marine Biology, Pukyong National University, Busan, 48513, Republic of Korea
| | - Young Wook Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Jennifer Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Alan Tracey
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Jonathan Wood
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Bo Hye Nam
- Biotechnology Research Division, National Institute of Fisheries Science, Haean-ro 216, Gijang-eup, Gijang-gun, Busan, 46083, Korea
| | - Eun Soo No
- Biotechnology Research Division, National Institute of Fisheries Science, Haean-ro 216, Gijang-eup, Gijang-gun, Busan, 46083, Korea
| | - Hye Ran Kim
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, NY, 10065, USA.
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, NY, 10065, USA.
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA.
| | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
- eGnome inc., C-1008, H Businesspark, 26, Beobwon-ro 9-gil, Songpa-gu, Seoul, Republic of Korea.
- Department of Agricultural Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
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13
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Tuminello S, Nguyen E, Durmus N, Alptekin R, Yilmaz M, Crisanti MC, Snuderl M, Chen Y, Shao Y, Reibman J, Taioli E, Arslan AA. World Trade Center Exposure, DNA Methylation Changes, and Cancer: A Review of Current Evidence. Epigenomes 2023; 7:31. [PMID: 38131903 PMCID: PMC10742700 DOI: 10.3390/epigenomes7040031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/22/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023] Open
Abstract
Introduction: Known carcinogens in the dust and fumes from the destruction of the World Trade Center (WTC) towers on 9 November 2001 included metals, asbestos, and organic pollutants, which have been shown to modify epigenetic status. Epigenome-wide association analyses (EWAS) using uniform (Illumina) methodology have identified novel epigenetic profiles of WTC exposure. Methods: We reviewed all published data, comparing differentially methylated gene profiles identified in the prior EWAS studies of WTC exposure. This included DNA methylation changes in blood-derived DNA from cases of cancer-free "Survivors" and those with breast cancer, as well as tissue-derived DNA from "Responders" with prostate cancer. Emerging molecular pathways related to the observed DNA methylation changes in WTC-exposed groups were explored and summarized. Results: WTC dust exposure appears to be associated with DNA methylation changes across the genome. Notably, WTC dust exposure appears to be associated with increased global DNA methylation; direct dysregulation of cancer genes and pathways, including inflammation and immune system dysregulation; and endocrine system disruption, as well as disruption of cholesterol homeostasis and lipid metabolism. Conclusion: WTC dust exposure appears to be associated with biologically meaningful DNA methylation changes, with implications for carcinogenesis and development of other chronic diseases.
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Affiliation(s)
- Stephanie Tuminello
- Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, USA; (S.T.)
| | - Emelie Nguyen
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10016, USA
| | - Nedim Durmus
- Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Ramazan Alptekin
- Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Muhammed Yilmaz
- Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | | | - Matija Snuderl
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Yu Chen
- Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, USA; (S.T.)
- NYU Perlmutter Comprehensive Cancer Center, New York, NY 10016, USA
| | - Yongzhao Shao
- Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, USA; (S.T.)
- NYU Perlmutter Comprehensive Cancer Center, New York, NY 10016, USA
| | - Joan Reibman
- Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
- Division of Environmental Medicine, Department of Medicine, NYU Grossman School of Medicine, New York University, New York, NY 10016, USA
| | - Emanuela Taioli
- Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY 10016, USA
| | - Alan A. Arslan
- Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, USA; (S.T.)
- NYU Perlmutter Comprehensive Cancer Center, New York, NY 10016, USA
- Department of Obstetrics and Gynecology, NYU Grossman School of Medicine, New York, NY 10016, USA
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14
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Makova KD, Pickett BD, Harris RS, Hartley GA, Cechova M, Pal K, Nurk S, Yoo D, Li Q, Hebbar P, McGrath BC, Antonacci F, Aubel M, Biddanda A, Borchers M, Bomberg E, Bouffard GG, Brooks SY, Carbone L, Carrel L, Carroll A, Chang PC, Chin CS, Cook DE, Craig SJ, de Gennaro L, Diekhans M, Dutra A, Garcia GH, Grady PG, Green RE, Haddad D, Hallast P, Harvey WT, Hickey G, Hillis DA, Hoyt SJ, Jeong H, Kamali K, Kosakovsky Pond SL, LaPolice TM, Lee C, Lewis AP, Loh YHE, Masterson P, McCoy RC, Medvedev P, Miga KH, Munson KM, Pak E, Paten B, Pinto BJ, Potapova T, Rhie A, Rocha JL, Ryabov F, Ryder OA, Sacco S, Shafin K, Shepelev VA, Slon V, Solar SJ, Storer JM, Sudmant PH, Sweetalana, Sweeten A, Tassia MG, Thibaud-Nissen F, Ventura M, Wilson MA, Young AC, Zeng H, Zhang X, Szpiech ZA, Huber CD, Gerton JL, Yi SV, Schatz MC, Alexandrov IA, Koren S, O’Neill RJ, Eichler E, Phillippy AM. The Complete Sequence and Comparative Analysis of Ape Sex Chromosomes. bioRxiv 2023:2023.11.30.569198. [PMID: 38077089 PMCID: PMC10705393 DOI: 10.1101/2023.11.30.569198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Apes possess two sex chromosomes-the male-specific Y and the X shared by males and females. The Y chromosome is crucial for male reproduction, with deletions linked to infertility. The X chromosome carries genes vital for reproduction and cognition. Variation in mating patterns and brain function among great apes suggests corresponding differences in their sex chromosome structure and evolution. However, due to their highly repetitive nature and incomplete reference assemblies, ape sex chromosomes have been challenging to study. Here, using the state-of-the-art experimental and computational methods developed for the telomere-to-telomere (T2T) human genome, we produced gapless, complete assemblies of the X and Y chromosomes for five great apes (chimpanzee, bonobo, gorilla, Bornean and Sumatran orangutans) and a lesser ape, the siamang gibbon. These assemblies completely resolved ampliconic, palindromic, and satellite sequences, including the entire centromeres, allowing us to untangle the intricacies of ape sex chromosome evolution. We found that, compared to the X, ape Y chromosomes vary greatly in size and have low alignability and high levels of structural rearrangements. This divergence on the Y arises from the accumulation of lineage-specific ampliconic regions and palindromes (which are shared more broadly among species on the X) and from the abundance of transposable elements and satellites (which have a lower representation on the X). Our analysis of Y chromosome genes revealed lineage-specific expansions of multi-copy gene families and signatures of purifying selection. In summary, the Y exhibits dynamic evolution, while the X is more stable. Finally, mapping short-read sequencing data from >100 great ape individuals revealed the patterns of diversity and selection on their sex chromosomes, demonstrating the utility of these reference assemblies for studies of great ape evolution. These complete sex chromosome assemblies are expected to further inform conservation genetics of nonhuman apes, all of which are endangered species.
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Affiliation(s)
| | - Brandon D. Pickett
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Monika Cechova
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Karol Pal
- Penn State University, University Park, PA, USA
| | - Sergey Nurk
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - DongAhn Yoo
- University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Johns Hopkins University, Baltimore, MD, USA
| | - Prajna Hebbar
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | | | | | - Erich Bomberg
- University of Münster, Münster, Germany
- MPI for Developmental Biology, Tübingen, Germany
| | - Gerard G. Bouffard
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shelise Y. Brooks
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Carbone
- Oregon Health & Science University, Portland, OR, USA
- Oregon National Primate Research Center, Hillsboro, OR, USA
| | - Laura Carrel
- Penn State University School of Medicine, Hershey, PA, USA
| | | | | | - Chen-Shan Chin
- Foundation of Biological Data Sciences, Belmont, CA, USA
| | | | | | | | - Mark Diekhans
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Amalia Dutra
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gage H. Garcia
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Glenn Hickey
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - David A. Hillis
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | - Hyeonsoo Jeong
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | | | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | | | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Karen H. Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Evgenia Pak
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benedict Paten
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Arang Rhie
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | | | - Samuel Sacco
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | - Steven J. Solar
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Sweetalana
- Penn State University, University Park, PA, USA
| | - Alex Sweeten
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Alice C. Young
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Xinru Zhang
- Penn State University, University Park, PA, USA
| | | | | | | | - Soojin V. Yi
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | | | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Evan Eichler
- University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M. Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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15
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Foley JW, Zhu SX, West RB. Cost-effective DNA methylation profiling by FML-seq. Life Sci Alliance 2023; 6:e202302326. [PMID: 37775270 PMCID: PMC10546043 DOI: 10.26508/lsa.202302326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/01/2023] Open
Abstract
Current methods for profiling DNA methylation require costly reagents, sequencing, and labor time. We introduce fragmentation at methylated loci and sequencing (FML-seq), a sequencing library protocol that greatly reduces all these costs. Relative to other techniques tested on the same human cell lines, FML-seq produces similar measurements of absolute and differential cytosine methylation at a fraction of the price. FML-seq enables inexpensive, high-throughput experimental designs for large-scale epigenetics research projects.
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Affiliation(s)
- Joseph W Foley
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Shirley X Zhu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Robert B West
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
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16
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Warren WC, Rice ES, Maggs X, Roback E, Keene A, Martin F, Ogeh D, Haggerty L, Carroll RA, McGaugh S, Rohner N. Astyanax mexicanus surface and cavefish chromosome-scale assemblies for trait variation discovery. bioRxiv 2023:2023.11.16.567450. [PMID: 38014157 PMCID: PMC10680795 DOI: 10.1101/2023.11.16.567450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
The ability of organisms to adapt to sudden extreme environmental changes produces some of the most drastic examples of rapid phenotypic evolution. The Mexican Tetra, Astyanax mexicanus, is abundant in the surface waters of northeastern Mexico, but repeated colonizations of cave environments have resulted in the independent evolution of troglomorphic phenotypes in several populations. Here, we present three chromosome-scale assemblies of this species, for one surface and two cave populations, enabling the first whole-genome comparisons between independently evolved cave populations to evaluate the genetic basis for the evolution of adaptation to the cave environment. Our assemblies represent the highest quality of sequence completeness with predicted protein-coding and non-coding gene metrics far surpassing prior resources and, to our knowledge, all long-read assembled teleost genomes, including zebrafish. Whole genome synteny alignments show highly conserved gene order among cave forms in contrast to a higher number of chromosomal rearrangements when compared to other phylogenetically close or distant teleost species. By phylogenetically assessing gene orthology across distant branches of amniotes, we discover gene orthogroups unique to A. mexicanus. When compared to a representative surface fish genome, we find a rich amount of structural sequence diversity, defined here as the number and size of insertions and deletions as well as expanding and contracting repeats across cave forms. These new more complete genomic resources ensure higher trait resolution for comparative, functional, developmental, and genetic studies of drastic trait differences within a species.
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Affiliation(s)
- Wesley C. Warren
- Department of Animal Sciences, Department of Surgery, University of Missouri, Bond Life Sciences Center, Columbia, MO
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO
| | - Edward S. Rice
- Department of Animal Sciences, Department of Surgery, University of Missouri, Bond Life Sciences Center, Columbia, MO
| | - X Maggs
- Department of Animal Sciences, Department of Surgery, University of Missouri, Bond Life Sciences Center, Columbia, MO
| | - Emma Roback
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN
| | - Alex Keene
- Department of Biology, Texas AM University, College Station, TX
| | - Fergal Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Denye Ogeh
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Rachel A. Carroll
- Department of Animal Sciences, Department of Surgery, University of Missouri, Bond Life Sciences Center, Columbia, MO
| | - Suzanne McGaugh
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN
| | - Nicolas Rohner
- Stowers Institute for Medical Research, Kansas City, MO
- Department of Molecular and Integrative Physiology, KU Medical Center, Kansas City, KS
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17
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Hashimi M, Sebrell TA, Hedges JF, Snyder D, Lyon KN, Byrum SD, Mackintosh SG, Crowley D, Cherne MD, Skwarchuk D, Robison A, Sidar B, Kunze A, Loveday EK, Taylor MP, Chang CB, Wilking JN, Walk ST, Schountz T, Jutila MA, Bimczok D. Antiviral responses in a Jamaican fruit bat intestinal organoid model of SARS-CoV-2 infection. Nat Commun 2023; 14:6882. [PMID: 37898615 PMCID: PMC10613288 DOI: 10.1038/s41467-023-42610-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 10/16/2023] [Indexed: 10/30/2023] Open
Abstract
Bats are natural reservoirs for several zoonotic viruses, potentially due to an enhanced capacity to control viral infection. However, the mechanisms of antiviral responses in bats are poorly defined. Here we established a Jamaican fruit bat (JFB, Artibeus jamaicensis) intestinal organoid model of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Upon infection with SARS-CoV-2, increased viral RNA and subgenomic RNA was detected, but no infectious virus was released, indicating that JFB organoids support only limited viral replication but not viral reproduction. SARS-CoV-2 replication was associated with significantly increased gene expression of type I interferons and inflammatory cytokines. Interestingly, SARS-CoV-2 also caused enhanced formation and growth of JFB organoids. Proteomics revealed an increase in inflammatory signaling, cell turnover, cell repair, and SARS-CoV-2 infection pathways. Collectively, our findings suggest that primary JFB intestinal epithelial cells mount successful antiviral interferon responses and that SARS-CoV-2 infection in JFB cells induces protective regenerative pathways.
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Affiliation(s)
- Marziah Hashimi
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - T Andrew Sebrell
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Jodi F Hedges
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Deann Snyder
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Katrina N Lyon
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Stephanie D Byrum
- University of Arkansas for Medical Sciences, Department of Biochemistry and Molecular Biology, Little Rock, AR, USA
- Arkansas Children's Research Institute, Little Rock, AR, USA
| | - Samuel G Mackintosh
- University of Arkansas for Medical Sciences, Department of Biochemistry and Molecular Biology, Little Rock, AR, USA
| | - Dan Crowley
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
- Department of Public & Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Michelle D Cherne
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - David Skwarchuk
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Amanda Robison
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Barkan Sidar
- Montana State University, Chemical and Biological Engineering Department, Bozeman, MT, USA
- Center for Biofilm Engineering, Bozeman, MT, USA
| | - Anja Kunze
- Montana State University, Electrical and Computer Engineering Department, Bozeman, MT, USA
| | - Emma K Loveday
- Montana State University, Chemical and Biological Engineering Department, Bozeman, MT, USA
- Center for Biofilm Engineering, Bozeman, MT, USA
| | - Matthew P Taylor
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Connie B Chang
- Montana State University, Chemical and Biological Engineering Department, Bozeman, MT, USA
- Center for Biofilm Engineering, Bozeman, MT, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - James N Wilking
- Montana State University, Chemical and Biological Engineering Department, Bozeman, MT, USA
- Center for Biofilm Engineering, Bozeman, MT, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Seth T Walk
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Tony Schountz
- Department of Microbiology, Immunology, and Pathology and Center of Vector-Borne Infectious Diseases, Colorado State University, Fort, Collins, CO, USA
| | - Mark A Jutila
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA
| | - Diane Bimczok
- Montana State University, Department of Microbiology and Cell Biology, Bozeman, MT, USA.
- Center for Biofilm Engineering, Bozeman, MT, USA.
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18
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More M, Veli E, Cruz A, Gutiérrez JP, Gutiérrez G, Ponce de León FA. Genome-Wide Association Study of Fiber Diameter in Alpacas. Animals (Basel) 2023; 13:3316. [PMID: 37958071 PMCID: PMC10648856 DOI: 10.3390/ani13213316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/13/2023] [Accepted: 10/20/2023] [Indexed: 11/15/2023] Open
Abstract
The aim of this study was the identification of candidate genomic regions associated with fiber diameter in alpacas. DNA samples were collected from 1011 female Huacaya alpacas from two geographical Andean regions in Peru (Pasco and Puno), and three alpaca farms within each region. The samples were genotyped using an Affymetrix Custom Alpaca genotyping array containing 76,508 SNPs. After the quality controls, 960 samples and 51,742 SNPs were retained. Three association study methodologies were performed. The GWAS based on a linear model allowed us to identify 11 and 35 SNPs (-log10(p-values) > 4) using information on all alpacas and alpacas with extreme values of fiber diameter, respectively. The haplotype and marker analysis method allowed us to identify nine haplotypes with standardized haplotype heritability higher than six standard deviations. The selection signatures based on cross-population extended haplotype homozygosity (XP-EHH) allowed us to identify 180 SNPs with XP-EHH values greater than |3|. Four candidate regions with adjacent SNPs identified via two association methods of analysis are located on VPA6, VPA9, VPA29 and one chromosomally unassigned scaffold. This study represents the first analysis of alpaca whole genome association with fiber diameter, using a recently assembled alpaca SNP microarray.
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Affiliation(s)
- Manuel More
- Facultad de Agronomía y Zootecnia, Universidad Nacional de San Antonio Abad del Cusco, Cusco 08006, Peru;
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
| | - Eudosio Veli
- Centro Experimental La Molina, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), Lima 15024, Peru;
| | - Alan Cruz
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
- Estación Científica de Pacomarca, Inca Tops S.A., Arequipa 04007, Peru
| | - Juan Pablo Gutiérrez
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, 28040 Madrid, Spain;
| | - Gustavo Gutiérrez
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
- Instituto de Investigación de Bioquímica y Biología Molecular, Universidad Nacional Agraria La Molina, Lima 15024, Peru
| | - F. Abel Ponce de León
- Facultad de Zootecnia, Universidad Nacional Agraria La Molina, Lima 15024, Peru; (A.C.); (F.A.P.d.L.)
- Department of Animal Science, University of Minnesota, Minneapolis, MN 55108, USA
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19
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Aldisi R, Hassanin E, Sivalingam S, Buness A, Klinkhammer H, Mayr A, Fröhlich H, Krawitz P, Maj C. Gene-based burden scores identify rare variant associations for 28 blood biomarkers. BMC Genom Data 2023; 24:50. [PMID: 37667186 PMCID: PMC10476296 DOI: 10.1186/s12863-023-01155-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 08/28/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND A relevant part of the genetic architecture of complex traits is still unknown; despite the discovery of many disease-associated common variants. Polygenic risk score (PRS) models are based on the evaluation of the additive effects attributable to common variants and have been successfully implemented to assess the genetic susceptibility for many phenotypes. In contrast, burden tests are often used to identify an enrichment of rare deleterious variants in specific genes. Both kinds of genetic contributions are typically analyzed independently. Many studies suggest that complex phenotypes are influenced by both low effect common variants and high effect rare deleterious variants. The aim of this paper is to integrate the effect of both common and rare functional variants for a more comprehensive genetic risk modeling. METHODS We developed a framework combining gene-based scores based on the enrichment of rare functionally relevant variants with genome-wide PRS based on common variants for association analysis and prediction models. We applied our framework on UK Biobank dataset with genotyping and exome data and considered 28 blood biomarkers levels as target phenotypes. For each biomarker, an association analysis was performed on full cohort using gene-based scores (GBS). The cohort was then split into 3 subsets for PRS construction and feature selection, predictive model training, and independent evaluation, respectively. Prediction models were generated including either PRS, GBS or both (combined). RESULTS Association analyses of the cohort were able to detect significant genes that were previously known to be associated with different biomarkers. Interestingly, the analyses also revealed heterogeneous effect sizes and directionality highlighting the complexity of the blood biomarkers regulation. However, the combined models for many biomarkers show little or no improvement in prediction accuracy compared to the PRS models. CONCLUSION This study shows that rare variants play an important role in the genetic architecture of complex multifactorial traits such as blood biomarkers. However, while rare deleterious variants play a strong role at an individual level, our results indicate that classical common variant based PRS might be more informative to predict the genetic susceptibility at the population level.
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Affiliation(s)
- Rana Aldisi
- Institute of Genomic Statistic and Bioinformatics, University Hospital Bonn, Bonn, Germany.
| | - Emadeldin Hassanin
- Institute of Genomic Statistic and Bioinformatics, University Hospital Bonn, Bonn, Germany
- Luxembourg Center for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg
| | - Sugirthan Sivalingam
- Institute of Genomic Statistic and Bioinformatics, University Hospital Bonn, Bonn, Germany
- Core Unit for Bioinformatics Analysis, University Hospital Bonn, Bonn, Germany
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Andreas Buness
- Institute of Genomic Statistic and Bioinformatics, University Hospital Bonn, Bonn, Germany
- Core Unit for Bioinformatics Analysis, University Hospital Bonn, Bonn, Germany
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Hannah Klinkhammer
- Institute of Genomic Statistic and Bioinformatics, University Hospital Bonn, Bonn, Germany
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Andreas Mayr
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Holger Fröhlich
- Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin, Germany
- Bonn-Aachen International Center for IT (b-it), University of Bonn, Bonn, Germany
| | - Peter Krawitz
- Institute of Genomic Statistic and Bioinformatics, University Hospital Bonn, Bonn, Germany
| | - Carlo Maj
- Institute of Genomic Statistic and Bioinformatics, University Hospital Bonn, Bonn, Germany
- Centre for Human Genetics, University of Marburg, Marburg, Germany
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20
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McFadden A, Martin K, Foster G, Vierra M, Lundquist EW, Everts RE, Martin E, Volz E, McLoone K, Brooks SA, Lafayette C. Two Novel Variants in MITF and PAX3 Associated With Splashed White Phenotypes in Horses. J Equine Vet Sci 2023; 128:104875. [PMID: 37406837 DOI: 10.1016/j.jevs.2023.104875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 07/07/2023]
Abstract
Mutations causing depigmentation are relatively common in Equus caballus (horse). Over 40 alleles in multiple genes are associated with increased white spotting (as of February 2023). The splashed white phenotype, a coat spotting pattern described as appearing like the horse has been splashed with white paint, was previously associated with variants in the PAX3 and MITF genes. Both genes encode transcription factors known to control melanocyte migration and pigmentation. We report two novel mutations, a stop-gain mutation in PAX3 (XM_005610643.3:c.927C>T, ECA6:11,196,181, EquCab3.0) and a missense mutation in a binding domain of MITF (NM_001163874.1:c.993A>T, ECA16:21,559,940, EquCab3.0), each with a strong association with increased depigmentation in Pura Raza Española horses (P = 1.144E-11, N = 30, P = 4.441E-16, N = 39 respectively). Using a quantitative method to score depigmentation, the PAX3 and MITF mutations were found to have average white scores of 25.50 and 24.45, respectively, compared to the average white coat spotting score of 1.89 in the control set. The functional impact for each mutation was predicted to be moderate to extreme (I-TASSER, SMART, Variant Effect Predictor, SIFT). We propose to designate the MITF mutant allele as Splashed White 9 and the PAX3 mutant allele as Splashed White 10 per convention.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Samantha A Brooks
- Department of Animal Sciences, University of Florida, Gainesville, FL
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21
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Rhie A, Nurk S, Cechova M, Hoyt SJ, Taylor DJ, Altemose N, Hook PW, Koren S, Rautiainen M, Alexandrov IA, Allen J, Asri M, Bzikadze AV, Chen NC, Chin CS, Diekhans M, Flicek P, Formenti G, Fungtammasan A, Garcia Giron C, Garrison E, Gershman A, Gerton JL, Grady PGS, Guarracino A, Haggerty L, Halabian R, Hansen NF, Harris R, Hartley GA, Harvey WT, Haukness M, Heinz J, Hourlier T, Hubley RM, Hunt SE, Hwang S, Jain M, Kesharwani RK, Lewis AP, Li H, Logsdon GA, Lucas JK, Makalowski W, Markovic C, Martin FJ, Mc Cartney AM, McCoy RC, McDaniel J, McNulty BM, Medvedev P, Mikheenko A, Munson KM, Murphy TD, Olsen HE, Olson ND, Paulin LF, Porubsky D, Potapova T, Ryabov F, Salzberg SL, Sauria MEG, Sedlazeck FJ, Shafin K, Shepelev VA, Shumate A, Storer JM, Surapaneni L, Taravella Oill AM, Thibaud-Nissen F, Timp W, Tomaszkiewicz M, Vollger MR, Walenz BP, Watwood AC, Weissensteiner MH, Wenger AM, Wilson MA, Zarate S, Zhu Y, Zook JM, Eichler EE, O'Neill RJ, Schatz MC, Miga KH, Makova KD, Phillippy AM. The complete sequence of a human Y chromosome. Nature 2023; 621:344-354. [PMID: 37612512 PMCID: PMC10752217 DOI: 10.1038/s41586-023-06457-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 07/19/2023] [Indexed: 08/25/2023]
Abstract
The human Y chromosome has been notoriously difficult to sequence and assemble because of its complex repeat structure that includes long palindromes, tandem repeats and segmental duplications1-3. As a result, more than half of the Y chromosome is missing from the GRCh38 reference sequence and it remains the last human chromosome to be finished4,5. Here, the Telomere-to-Telomere (T2T) consortium presents the complete 62,460,029-base-pair sequence of a human Y chromosome from the HG002 genome (T2T-Y) that corrects multiple errors in GRCh38-Y and adds over 30 million base pairs of sequence to the reference, showing the complete ampliconic structures of gene families TSPY, DAZ and RBMY; 41 additional protein-coding genes, mostly from the TSPY family; and an alternating pattern of human satellite 1 and 3 blocks in the heterochromatic Yq12 region. We have combined T2T-Y with a previous assembly of the CHM13 genome4 and mapped available population variation, clinical variants and functional genomics data to produce a complete and comprehensive reference sequence for all 24 human chromosomes.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Oxford Nanopore Technologies Inc., Oxford, UK
| | - Monika Cechova
- Faculty of Informatics, Masaryk University, Brno, Czech Republic
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Savannah J Hoyt
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Nicolas Altemose
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Paul W Hook
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ivan A Alexandrov
- Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- Department of Anatomy and Anthropology and Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Jamie Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Andrey V Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego, CA, USA
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Chen-Shan Chin
- GeneDX Holdings Corp, Stamford, CT, USA
- Foundation of Biological Data Science, Belmont, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | | | | | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ariel Gershman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer L Gerton
- Stowers Institute for Medical Research, Kansas City, MO, USA
- University of Kansas Medical Center, Kansas City, MO, USA
| | - Patrick G S Grady
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Genomics Research Centre, Human Technopole, Milan, Italy
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Reza Halabian
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Nancy F Hansen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Robert Harris
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Gabrielle A Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Jakob Heinz
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Stephen Hwang
- XDBio Program, Johns Hopkins University, Baltimore, MD, USA
| | - Miten Jain
- Department of Bioengineering, Department of Physics, Northeastern University, Boston, MA, USA
| | - Rupesh K Kesharwani
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Julian K Lucas
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Wojciech Makalowski
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Christopher Markovic
- Genome Technology Access Center at the McDonnell Genome Institute, Washington University, St. Louis, MO, USA
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ann M Mc Cartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer McDaniel
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Brandy M McNulty
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Medvedev
- Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Hugh E Olsen
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Nathan D Olson
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Luis F Paulin
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | - Steven L Salzberg
- Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | | | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | | | | | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | | | - Likhitha Surapaneni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Angela M Taravella Oill
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Marta Tomaszkiewicz
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Department of Biomedical Engineering, Pennsylvania State University, State College, PA, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison C Watwood
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | | | | | - Melissa A Wilson
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Yiming Zhu
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Justin M Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Investigator, Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Rachel J O'Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
| | - Michael C Schatz
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Karen H Miga
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Kateryna D Makova
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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22
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Neely BA, Ellisor DL, Davis WC. Proteomics as a Metrological Tool to Evaluate Genome Annotation Accuracy Following De Novo Genome Assembly: A Case Study Using the Atlantic Bottlenose Dolphin ( Tursiops truncatus). Genes (Basel) 2023; 14:1696. [PMID: 37761836 PMCID: PMC10531373 DOI: 10.3390/genes14091696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023] Open
Abstract
The last decade has witnessed dramatic improvements in whole-genome sequencing capabilities coupled to drastically decreased costs, leading to an inundation of high-quality de novo genomes. For this reason, the continued development of genome quality metrics is imperative. Using the 2016 Atlantic bottlenose dolphin NCBI RefSeq annotation and mass spectrometry-based proteomic analysis of six tissues, we confirmed 10,402 proteins from 4711 protein groups, constituting nearly one-third of the possible predicted proteins. Since the identification of larger proteins with more identified peptides implies reduced database fragmentation and improved gene annotation accuracy, we propose the metric NP10, which attempts to capture this quality improvement. The NP10 metric is calculated by first stratifying proteomic results by identifying the top decile (or 10th 10-quantile) of identified proteins based on the number of peptides per protein and then returns the median molecular weight of the resulting proteins. When using the 2016 versus 2012 Tursiops truncatus genome annotation to search this proteomic data set, there was a 21% improvement in NP10. This metric was further demonstrated by using a publicly available proteomic data set to compare human genome annotations from 2004, 2013 and 2016, which showed a 33% improvement in NP10. These results demonstrate that proteomics may be a useful metrological tool to benchmark genome accuracy, though there is a need for reference proteomic datasets across species to facilitate the evaluation of new de novo and existing genome.
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Affiliation(s)
- Benjamin A. Neely
- National Institute of Standards and Technology, NIST Charleston, 331 Fort Johnson Road, Charleston, SC 29412, USA; (D.L.E.); (W.C.D.)
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23
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Sozzoni M, Ferrer Obiol J, Formenti G, Tigano A, Paris JR, Balacco JR, Jain N, Tilley T, Collins J, Sims Y, Wood J, Benowitz-Fredericks ZM, Field KA, Seyoum E, Gatt MC, Léandri-Breton DJ, Nakajima C, Whelan S, Gianfranceschi L, Hatch SA, Elliott KH, Shoji A, Cecere JG, Jarvis ED, Pilastro A, Rubolini D. A Chromosome-Level Reference Genome for the Black-Legged Kittiwake (Rissa tridactyla), a Declining Circumpolar Seabird. Genome Biol Evol 2023; 15:evad153. [PMID: 37590950 PMCID: PMC10457150 DOI: 10.1093/gbe/evad153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/02/2023] [Accepted: 08/09/2023] [Indexed: 08/19/2023] Open
Abstract
Amidst the current biodiversity crisis, the availability of genomic resources for declining species can provide important insights into the factors driving population decline. In the early 1990s, the black-legged kittiwake (Rissa tridactyla), a pelagic gull widely distributed across the arctic, subarctic, and temperate zones, suffered a steep population decline following an abrupt warming of sea surface temperature across its distribution range and is currently listed as Vulnerable by the International Union for the Conservation of Nature. Kittiwakes have long been the focus for field studies of physiology, ecology, and ecotoxicology and are primary indicators of fluctuating ecological conditions in arctic and subarctic marine ecosystems. We present a high-quality chromosome-level reference genome and annotation for the black-legged kittiwake using a combination of Pacific Biosciences HiFi sequencing, Bionano optical maps, Hi-C reads, and RNA-Seq data. The final assembly spans 1.35 Gb across 32 chromosomes, with a scaffold N50 of 88.21 Mb and a BUSCO completeness of 97.4%. This genome assembly substantially improves the quality of a previous draft genome, showing an approximately 5× increase in contiguity and a more complete annotation. Using this new chromosome-level reference genome and three more chromosome-level assemblies of Charadriiformes, we uncover several lineage-specific chromosome fusions and fissions, but find no shared rearrangements, suggesting that interchromosomal rearrangements have been commonplace throughout the diversification of Charadriiformes. This new high-quality genome assembly will enable population genomic, transcriptomic, and phenotype-genotype association studies in a widely studied sentinel species, which may provide important insights into the impacts of global change on marine systems.
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Affiliation(s)
- Marcella Sozzoni
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Joan Ferrer Obiol
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Anna Tigano
- Department of Biology, Queen’s University, Kingston, Ontario, Canada
- Department of Biology, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Josephine R Paris
- Department of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Jennifer R Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Nivesh Jain
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Tatiana Tilley
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Joanna Collins
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Ying Sims
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | - Jonathan Wood
- Tree of Life, Wellcome Sanger Institute, Cambridge, United Kingdom
| | | | - Kenneth A Field
- Department of Biology, Bucknell University, Lewisburg, Pennsylvania, USA
| | - Eyuel Seyoum
- Department of Biology, Bucknell University, Lewisburg, Pennsylvania, USA
| | - Marie Claire Gatt
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Don-Jean Léandri-Breton
- Department of Natural Resource Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada
- Centre d’Études Biologiques de Chizé (CEBC), UMR 7372 - CNRS & Université de La Rochelle, Villiers-en-Bois, France
| | - Chinatsu Nakajima
- Department of Life and Environmental Science, University of Tsukuba, Tsukuba, Japan
| | - Shannon Whelan
- Department of Natural Resource Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada
| | | | - Scott A Hatch
- Institute for Seabird Research and Conservation, Anchorage, Alaska, USA
| | - Kyle H Elliott
- Department of Natural Resource Sciences, McGill University, Ste-Anne-de-Bellevue, Quebec, Canada
| | - Akiko Shoji
- Department of Life and Environmental Science, University of Tsukuba, Tsukuba, Japan
| | | | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | | | - Diego Rubolini
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
- Water Research Institute, IRSA-CNR, Brugherio, Monza and Brianza, Italy
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Peeters S, Leung T, Fornes O, Farkas R, Wasserman W, Brown C. Refining the genomic determinants underlying escape from X-chromosome inactivation. NAR Genom Bioinform 2023; 5:lqad052. [PMID: 37260510 PMCID: PMC10227363 DOI: 10.1093/nargab/lqad052] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/01/2023] [Accepted: 05/19/2023] [Indexed: 06/02/2023] Open
Abstract
X-chromosome inactivation (XCI) epigenetically silences one X chromosome in every cell in female mammals. Although the majority of X-linked genes are silenced, in humans 20% or more are able to escape inactivation and continue to be expressed. Such escape genes are important contributors to sex differences in gene expression, and may impact the phenotypes of X aneuploidies; yet the mechanisms regulating escape from XCI are not understood. We have performed an enrichment analysis of transcription factor binding on the X chromosome, providing new evidence for enriched factors at the transcription start sites of escape genes. The top escape-enriched transcription factors were detected at the RPS4X promoter, a well-described human escape gene previously demonstrated to escape from XCI in a transgenic mouse model. Using a cell line model system that allows for targeted integration and inactivation of transgenes on the mouse X chromosome, we further assessed combinations of RPS4X promoter and genic elements for their ability to drive escape from XCI. We identified a small transgenic construct of only 6 kb capable of robust escape from XCI, establishing that gene-proximal elements are sufficient to permit escape, and highlighting the additive effect of multiple elements that work together in a context-specific fashion.
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Affiliation(s)
- Samantha Peeters
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Tiffany Leung
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Molecular Medicine and Therapeutics at British Columbia Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Oriol Fornes
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Molecular Medicine and Therapeutics at British Columbia Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachelle A Farkas
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Molecular Medicine and Therapeutics at British Columbia Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Wyeth W Wasserman
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Molecular Medicine and Therapeutics at British Columbia Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Carolyn J Brown
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
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McFadden A, Martin K, Foster G, Vierra M, Lundquist EW, Everts RE, Martin E, Volz E, McLoone K, Brooks SA, Lafayette C. 5'UTR Variant in KIT Associated with White Spotting in Horses. J Equine Vet Sci 2023:104563. [PMID: 37182614 DOI: 10.1016/j.jevs.2023.104563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/10/2023] [Accepted: 05/10/2023] [Indexed: 05/16/2023]
Abstract
Mutations in KIT, a gene that influences melanoblast migration and pigmentation, often result in mammalian white spotting. As of February 2023, over 30 KIT variants associated with white spotting were documented in Equus caballus (horse). Here we report an association of increased white spotting on the skin and coat with a variant in the 5'UTR of KIT (rs1149701677: g.79,618,649A>C). Horses possessing at least one alternate allele demonstrate phenotypic characteristics similar to other KIT mutations: clear borders around unpigmented regions on the body, face, and limbs. Using a quantitative measure of depigmentation, we observed an average white score of 10.70 among individuals with rs1149701677, while the average score of the control, homozygous reference sample was 2.23 (p=1.892e-11, n=109, t-test). The rs1149701677 site has a cross-species conservation score of 3.4, one of the highest scores across the KIT 5'UTR, implying regulatory importance for this site. Ensembl also predicted a "moderately impactful" functional effect for the rs1149701677 variant. We propose that this single nucleotide variant likely alters the regulation of KIT, which in turn may disrupt melanoblast migration causing an increase in white spotting on the coat. Alternatively, the rs1149701677 variant may be in linkage with another nearby variant with an as-yet-undiscovered functional impact. We propose to term this new allele "Holiday White" or W35 based on conventional nomenclature.
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Affiliation(s)
| | | | | | | | | | | | | | - Erin Volz
- Etalon Inc, Menlo Park, CA 94025, USA
| | | | - Samantha A Brooks
- Department of Animal Sciences, UF Genetics Institute University of Florida, Gainesville, FL 32611-0910, USA
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26
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Lahtinen A, Lavikka K, Virtanen A, Li Y, Jamalzadeh S, Skorda A, Lauridsen AR, Zhang K, Marchi G, Isoviita VM, Ariotta V, Lehtonen O, Muranen TA, Huhtinen K, Carpén O, Hietanen S, Senkowski W, Kallunki T, Häkkinen A, Hynninen J, Oikkonen J, Hautaniemi S. Evolutionary states and trajectories characterized by distinct pathways stratify patients with ovarian high grade serous carcinoma. Cancer Cell 2023:S1535-6108(23)00143-5. [PMID: 37207655 DOI: 10.1016/j.ccell.2023.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 02/15/2023] [Accepted: 04/25/2023] [Indexed: 05/21/2023]
Abstract
Ovarian high-grade serous carcinoma (HGSC) is typically diagnosed at an advanced stage, with multiple genetically heterogeneous clones existing in the tumors long before therapeutic intervention. Herein we integrate clonal composition and topology using whole-genome sequencing data from 510 samples of 148 patients with HGSC in the prospective, longitudinal, multiregion DECIDER study. Our results reveal three evolutionary states, which have distinct features in genomics, pathways, and morphological phenotypes, and significant association with treatment response. Nested pathway analysis suggests two evolutionary trajectories between the states. Experiments with five tumor organoids and three PI3K inhibitors support targeting tumors with enriched PI3K/AKT pathway with alpelisib. Heterogeneity analysis of samples from multiple anatomical sites shows that site-of-origin samples have 70% more unique clones than metastatic tumors or ascites. In conclusion, these analysis and visualization methods enable integrative tumor evolution analysis to identify patient subtypes using data from longitudinal, multiregion cohorts.
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Affiliation(s)
- Alexandra Lahtinen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Kari Lavikka
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Anni Virtanen
- Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Yilin Li
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Sanaz Jamalzadeh
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Aikaterini Skorda
- Cancer Invasion and Resistance Group, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Anna Røssberg Lauridsen
- Cancer Invasion and Resistance Group, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Kaiyang Zhang
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Giovanni Marchi
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Veli-Matti Isoviita
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Valeria Ariotta
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Oskari Lehtonen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Taru A Muranen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Kaisa Huhtinen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Cancer Research Unit, Institute of Biomedicine and FICAN West Cancer Centre, University of Turku, 20014 Turku, Finland
| | - Olli Carpén
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Sakari Hietanen
- Department of Obstetrics and Gynaecology, University of Turku and Turku University Hospital, 200521 Turku, Finland
| | - Wojciech Senkowski
- Biotech Research and Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Tuula Kallunki
- Cancer Invasion and Resistance Group, Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark; Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Antti Häkkinen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Johanna Hynninen
- Department of Obstetrics and Gynaecology, University of Turku and Turku University Hospital, 200521 Turku, Finland
| | - Jaana Oikkonen
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
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27
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Su J, Yuan J, Xu L, Xing S, Sun M, Yao Y, Ma Y, Chen F, Jiang L, Li K, Yu X, Xue Z, Zhang Y, Fan D, Zhang J, Liu H, Liu X, Zhang G, Wang H, Zhou M, Lyu F, An G, Yu X, Xue Y, Yang J, Qu J. Sequencing of 19,219 exomes identifies a low-frequency variant in FKBP5 promoter predisposing to high myopia in a Han Chinese population. Cell Rep 2023; 42:112510. [PMID: 37171956 DOI: 10.1016/j.celrep.2023.112510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/13/2022] [Accepted: 04/28/2023] [Indexed: 05/14/2023] Open
Abstract
High myopia (HM) is one of the leading causes of visual impairment and blindness worldwide. Here, we report a whole-exome sequencing (WES) study in 9,613 HM cases and 9,606 controls of Han Chinese ancestry to pinpoint HM-associated risk variants. Single-variant association analysis identified three newly identified -genetic loci associated with HM, including an East Asian ancestry-specific low-frequency variant (rs533280354) in FKBP5. Multi-ancestry meta-analysis with WES data of 2,696 HM cases and 7,186 controls of European ancestry from the UK Biobank discerned a newly identified European ancestry-specific rare variant in FOLH1. Functional experiments revealed a mechanism whereby a single G-to-A transition at rs533280354 disrupted the binding of transcription activator KLF15 to the promoter of FKBP5, resulting in decreased transcription of FKBP5. Furthermore, burden tests showed a significant excess of rare protein-truncating variants among HM cases involved in retinal blood vessel morphogenesis and neurotransmitter transport.
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Affiliation(s)
- Jianzhong Su
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou 325101, Zhejiang, China; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China.
| | - Jian Yuan
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Liangde Xu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Shilai Xing
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Institute of PSI Genomics, Wenzhou 325024, China
| | - Mengru Sun
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100190, China
| | - Yinghao Yao
- Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou 325101, Zhejiang, China; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China
| | - Yunlong Ma
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Fukun Chen
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Longda Jiang
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310030, China
| | - Kai Li
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China
| | - Xiangyi Yu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Zhengbo Xue
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Yaru Zhang
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Dandan Fan
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Ji Zhang
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Hui Liu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Xinting Liu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Guosi Zhang
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Hong Wang
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Meng Zhou
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Fan Lyu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou 325101, Zhejiang, China
| | - Gang An
- Institute of PSI Genomics, Wenzhou 325024, China
| | - Xiaoguang Yu
- Institute of PSI Genomics, Wenzhou 325024, China
| | - Yuanchao Xue
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Jian Yang
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310030, China; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China.
| | - Jia Qu
- School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou 325101, Zhejiang, China; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China.
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28
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Yaldiz B, Kucuk E, Hampstead J, Hofste T, Pfundt R, Corominas Galbany J, Rinne T, Yntema HG, Hoischen A, Nelen M, Gilissen C. Twist exome capture allows for lower average sequence coverage in clinical exome sequencing. Hum Genomics 2023; 17:39. [PMID: 37138343 PMCID: PMC10155375 DOI: 10.1186/s40246-023-00485-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/20/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Exome and genome sequencing are the predominant techniques in the diagnosis and research of genetic disorders. Sufficient, uniform and reproducible/consistent sequence coverage is a main determinant for the sensitivity to detect single-nucleotide (SNVs) and copy number variants (CNVs). Here we compared the ability to obtain comprehensive exome coverage for recent exome capture kits and genome sequencing techniques. RESULTS We compared three different widely used enrichment kits (Agilent SureSelect Human All Exon V5, Agilent SureSelect Human All Exon V7 and Twist Bioscience) as well as short-read and long-read WGS. We show that the Twist exome capture significantly improves complete coverage and coverage uniformity across coding regions compared to other exome capture kits. Twist performance is comparable to that of both short- and long-read whole genome sequencing. Additionally, we show that even at a reduced average coverage of 70× there is only minimal loss in sensitivity for SNV and CNV detection. CONCLUSION We conclude that exome sequencing with Twist represents a significant improvement and could be performed at lower sequence coverage compared to other exome capture techniques.
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Affiliation(s)
- Burcu Yaldiz
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Erdi Kucuk
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Juliet Hampstead
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Tom Hofste
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Jordi Corominas Galbany
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Tuula Rinne
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Helger G Yntema
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Alexander Hoischen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Marcel Nelen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands.
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29
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Lu Y, Rice E, Du K, Kneitz S, Naville M, Dechaud C, Volff JN, Boswell M, Boswell W, Hillier L, Tomlinson C, Milin K, Walter RB, Schartl M, Warren WC. High resolution genomes of multiple Xiphophorus species provide new insights into microevolution, hybrid incompatibility, and epistasis. Genome Res 2023; 33:557-571. [PMID: 37147111 PMCID: PMC10234306 DOI: 10.1101/gr.277434.122] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 03/29/2023] [Indexed: 05/07/2023]
Abstract
Because of diverged adaptative phenotypes, fish species of the genus Xiphophorus have contributed to a wide range of research for a century. Existing Xiphophorus genome assemblies are not at the chromosomal level and are prone to sequence gaps, thus hindering advancement of the intra- and inter-species differences for evolutionary, comparative, and translational biomedical studies. Herein, we assembled high-quality chromosome-level genome assemblies for three distantly related Xiphophorus species, namely, X. maculatus, X. couchianus, and X. hellerii Our overall goal is to precisely assess microevolutionary processes in the clade to ascertain molecular events that led to the divergence of the Xiphophorus species and to progress understanding of genetic incompatibility to disease. In particular, we measured intra- and inter-species divergence and assessed gene expression dysregulation in reciprocal interspecies hybrids among the three species. We found expanded gene families and positively selected genes associated with live bearing, a special mode of reproduction. We also found positively selected gene families are significantly enriched in nonpolymorphic transposable elements, suggesting the dispersal of these nonpolymorphic transposable elements has accompanied the evolution of the genes, possibly by incorporating new regulatory elements in support of the Britten-Davidson hypothesis. We characterized inter-specific polymorphisms, structural variants, and polymorphic transposable element insertions and assessed their association to interspecies hybridization-induced gene expression dysregulation related to specific disease states in humans.
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Affiliation(s)
- Yuan Lu
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas 78666, USA;
| | - Edward Rice
- Department of Animal Sciences, Department of Surgery, Institute for Data Science and Informatics, University of Missouri, Bond Life Sciences Center, Columbia, Missouri 65201, USA
| | - Kang Du
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas 78666, USA
| | - Susanne Kneitz
- Biochemistry and Cell Biology, Biozentrum, University of Würzburg, 97074 Würzburg, Germany
| | - Magali Naville
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, CNRS UMR 5242, Université Claude Bernard Lyon 1, F-69364 Lyon, France
| | - Corentin Dechaud
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, CNRS UMR 5242, Université Claude Bernard Lyon 1, F-69364 Lyon, France
| | - Jean-Nicolas Volff
- Institut de Génomique Fonctionnelle de Lyon, Ecole Normale Supérieure de Lyon, CNRS UMR 5242, Université Claude Bernard Lyon 1, F-69364 Lyon, France
| | - Mikki Boswell
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas 78666, USA
| | - William Boswell
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas 78666, USA
| | - LaDeana Hillier
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA
| | - Kremitzki Milin
- McDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA
| | - Ronald B Walter
- Department of Life Sciences, Texas A&M University, Corpus Christi, Texas 78412, USA
| | - Manfred Schartl
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas 78666, USA
- Developmental Biochemistry, Biozentrum, University of Würzburg, 97074 Würzburg, Germany
| | - Wesley C Warren
- Department of Animal Sciences, Department of Surgery, Institute for Data Science and Informatics, University of Missouri, Bond Life Sciences Center, Columbia, Missouri 65201, USA
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Yu S, Liu Z, Li M, Zhou D, Hua P, Cheng H, Fan W, Xu Y, Liu D, Liang S, Zhang Y, Xie M, Tang J, Jiang Y, Hou S, Zhou Z. Resequencing of a Pekin duck breeding population provides insights into the genomic response to short-term artificial selection. Gigascience 2023; 12:giad016. [PMID: 36971291 PMCID: PMC10041536 DOI: 10.1093/gigascience/giad016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 02/04/2023] [Accepted: 02/27/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Short-term, intense artificial selection drives fast phenotypic changes in domestic animals and leaves imprints on their genomes. However, the genetic basis of this selection response is poorly understood. To better address this, we employed the Pekin duck Z2 pure line, in which the breast muscle weight was increased nearly 3-fold after 10 generations of breeding. We denovo assembled a high-quality reference genome of a female Pekin duck of this line (GCA_003850225.1) and identified 8.60 million genetic variants in 119 individuals among 10 generations of the breeding population. RESULTS We identified 53 selected regions between the first and tenth generations, and 93.8% of the identified variations were enriched in regulatory and noncoding regions. Integrating the selection signatures and genome-wide association approach, we found that 2 regions covering 0.36 Mb containing UTP25 and FBRSL1 were most likely to contribute to breast muscle weight improvement. The major allele frequencies of these 2 loci increased gradually with each generation following the same trend. Additionally, we found that a copy number variation region containing the entire EXOC4 gene could explain 1.9% of the variance in breast muscle weight, indicating that the nervous system may play a role in economic trait improvement. CONCLUSIONS Our study not only provides insights into genomic dynamics under intense artificial selection but also provides resources for genomics-enabled improvements in duck breeding.
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Affiliation(s)
- Simeng Yu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zihua Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ming Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Dongke Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ping Hua
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Hong Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Wenlei Fan
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yaxi Xu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Dapeng Liu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Suyun Liang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yunsheng Zhang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ming Xie
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jing Tang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Shuisheng Hou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhengkui Zhou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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31
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Bentley BP, Carrasco-Valenzuela T, Ramos EKS, Pawar H, Souza Arantes L, Alexander A, Banerjee SM, Masterson P, Kuhlwilm M, Pippel M, Mountcastle J, Haase B, Uliano-Silva M, Formenti G, Howe K, Chow W, Tracey A, Sims Y, Pelan S, Wood J, Yetsko K, Perrault JR, Stewart K, Benson SR, Levy Y, Todd EV, Shaffer HB, Scott P, Henen BT, Murphy RW, Mohr DW, Scott AF, Duffy DJ, Gemmell NJ, Suh A, Winkler S, Thibaud-Nissen F, Nery MF, Marques-Bonet T, Antunes A, Tikochinski Y, Dutton PH, Fedrigo O, Myers EW, Jarvis ED, Mazzoni CJ, Komoroske LM. Divergent sensory and immune gene evolution in sea turtles with contrasting demographic and life histories. Proc Natl Acad Sci U S A 2023; 120:e2201076120. [PMID: 36749728 DOI: 10.1073/pnas.2201076120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Sea turtles represent an ancient lineage of marine vertebrates that evolved from terrestrial ancestors over 100 Mya. The genomic basis of the unique physiological and ecological traits enabling these species to thrive in diverse marine habitats remains largely unknown. Additionally, many populations have drastically declined due to anthropogenic activities over the past two centuries, and their recovery is a high global conservation priority. We generated and analyzed high-quality reference genomes for the leatherback (Dermochelys coriacea) and green (Chelonia mydas) turtles, representing the two extant sea turtle families. These genomes are highly syntenic and homologous, but localized regions of noncollinearity were associated with higher copy numbers of immune, zinc-finger, and olfactory receptor (OR) genes in green turtles, with ORs related to waterborne odorants greatly expanded in green turtles. Our findings suggest that divergent evolution of these key gene families may underlie immunological and sensory adaptations assisting navigation, occupancy of neritic versus pelagic environments, and diet specialization. Reduced collinearity was especially prevalent in microchromosomes, with greater gene content, heterozygosity, and genetic distances between species, supporting their critical role in vertebrate evolutionary adaptation. Finally, diversity and demographic histories starkly contrasted between species, indicating that leatherback turtles have had a low yet stable effective population size, exhibit extremely low diversity compared with other reptiles, and harbor a higher genetic load compared with green turtles, reinforcing concern over their persistence under future climate scenarios. These genomes provide invaluable resources for advancing our understanding of evolution and conservation best practices in an imperiled vertebrate lineage.
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Secomandi S, Gallo GR, Sozzoni M, Iannucci A, Galati E, Abueg L, Balacco J, Caprioli M, Chow W, Ciofi C, Collins J, Fedrigo O, Ferretti L, Fungtammasan A, Haase B, Howe K, Kwak W, Lombardo G, Masterson P, Messina G, Møller AP, Mountcastle J, Mousseau TA, Ferrer Obiol J, Olivieri A, Rhie A, Rubolini D, Saclier M, Stanyon R, Stucki D, Thibaud-Nissen F, Torrance J, Torroni A, Weber K, Ambrosini R, Bonisoli-Alquati A, Jarvis ED, Gianfranceschi L, Formenti G. A chromosome-level reference genome and pangenome for barn swallow population genomics. Cell Rep 2023; 42:111992. [PMID: 36662619 PMCID: PMC10044405 DOI: 10.1016/j.celrep.2023.111992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/20/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
Insights into the evolution of non-model organisms are limited by the lack of reference genomes of high accuracy, completeness, and contiguity. Here, we present a chromosome-level, karyotype-validated reference genome and pangenome for the barn swallow (Hirundo rustica). We complement these resources with a reference-free multialignment of the reference genome with other bird genomes and with the most comprehensive catalog of genetic markers for the barn swallow. We identify potentially conserved and accelerated genes using the multialignment and estimate genome-wide linkage disequilibrium using the catalog. We use the pangenome to infer core and accessory genes and to detect variants using it as a reference. Overall, these resources will foster population genomics studies in the barn swallow, enable detection of candidate genes in comparative genomics studies, and help reduce bias toward a single reference genome.
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Affiliation(s)
- Simona Secomandi
- Department of Biosciences, University of Milan, Milan, Italy; Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | | | - Alessio Iannucci
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | - Elena Galati
- Department of Biosciences, University of Milan, Milan, Italy
| | - Linelle Abueg
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Jennifer Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Manuela Caprioli
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | | | - Claudio Ciofi
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | | | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Luca Ferretti
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | | | - Bettina Haase
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | - Woori Kwak
- Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon 14662, Korea
| | - Gianluca Lombardo
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Anders P Møller
- Ecologie Systématique Evolution, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Orsay Cedex, France
| | | | - Timothy A Mousseau
- Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA
| | - Joan Ferrer Obiol
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | - Anna Olivieri
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Diego Rubolini
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | | | - Roscoe Stanyon
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Antonio Torroni
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | | | - Roberto Ambrosini
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | - Andrea Bonisoli-Alquati
- Department of Biological Sciences, California State Polytechnic University - Pomona, Pomona, CA, USA
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA; The Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
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Lansdon LA, Dickinson A, Arlis S, Liu H, Hlas A, Hahn A, Bonde G, Long A, Standley J, Tyryshkina A, Wehby G, Lee NR, Daack-Hirsch S, Mohlke K, Girirajan S, Darbro BW, Cornell RA, Houston DW, Murray JC, Manak JR. Genome-wide analysis of copy-number variation in humans with cleft lip and/or cleft palate identifies COBLL1, RIC1, and ARHGEF38 as clefting genes. Am J Hum Genet 2023; 110:71-91. [PMID: 36493769 PMCID: PMC9892779 DOI: 10.1016/j.ajhg.2022.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/18/2022] [Indexed: 12/13/2022] Open
Abstract
Cleft lip with or without cleft palate (CL/P) is a common birth defect with a complex, heterogeneous etiology. It is well established that common and rare sequence variants contribute to the formation of CL/P, but the contribution of copy-number variants (CNVs) to cleft formation remains relatively understudied. To fill this knowledge gap, we conducted a large-scale comparative analysis of genome-wide CNV profiles of 869 individuals from the Philippines and 233 individuals of European ancestry with CL/P with three primary goals: first, to evaluate whether differences in CNV number, amount of genomic content, or amount of coding genomic content existed within clefting subtypes; second, to assess whether CNVs in our cohort overlapped with known Mendelian clefting loci; and third, to identify unestablished Mendelian clefting genes. Significant differences in CNVs across cleft types or in individuals with non-syndromic versus syndromic clefts were not observed; however, several CNVs in our cohort overlapped with known syndromic and non-syndromic Mendelian clefting loci. Moreover, employing a filtering strategy relying on population genetics data that rare variants are on the whole more deleterious than common variants, we identify several CNV-associated gene losses likely driving non-syndromic clefting phenotypes. By prioritizing genes deleted at a rare frequency across multiple individuals with clefts yet enriched in our cohort of individuals with clefts compared to control subjects, we identify COBLL1, RIC1, and ARHGEF38 as clefting genes. CRISPR-Cas9 mutagenesis of these genes in Xenopus laevis and Danio rerio yielded craniofacial dysmorphologies, including clefts analogous to those seen in human clefting disorders.
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Affiliation(s)
- Lisa A Lansdon
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA; Department of Biology, University of Iowa, Iowa City, IA 52242, USA; Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO 64108, USA; Department of Pathology, University of Missouri - Kansas City School of Medicine, Kansas City, MO 64108, USA
| | | | - Sydney Arlis
- Department of Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Huan Liu
- Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Arman Hlas
- Department of Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Alyssa Hahn
- Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA
| | - Greg Bonde
- Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Abby Long
- Department of Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Jennifer Standley
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA
| | | | - George Wehby
- College of Public Health, University of Iowa, Iowa City, IA 52242, USA
| | - Nanette R Lee
- Office of Population Studies Foundation, Inc., University of San Carlos, Cebu City, Philippines
| | | | - Karen Mohlke
- University of North Carolina, Chapel Hill, NC 27514, USA
| | | | - Benjamin W Darbro
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA; Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA
| | - Robert A Cornell
- Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA; Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Douglas W Houston
- Department of Biology, University of Iowa, Iowa City, IA 52242, USA; Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA; Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA
| | - J Robert Manak
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA; Department of Biology, University of Iowa, Iowa City, IA 52242, USA; Interdisciplinary Genetics Program, University of Iowa, Iowa City, IA 52242, USA.
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34
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Malod-Dognin N, Ceddia G, Gvozdenov M, Tomić B, Dunjić Manevski S, Djordjević V, Pržulj N. A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia. PLoS One 2023; 18:e0284084. [PMID: 37098010 PMCID: PMC10128975 DOI: 10.1371/journal.pone.0284084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 03/23/2023] [Indexed: 04/26/2023] Open
Abstract
Antithrombin resistance is a rare subtype of hereditary thrombophilia caused by prothrombin gene variants, leading to thrombotic disorders. Recently, the Prothrombin Belgrade variant has been reported as a specific variant that leads to antithrombin resistance in two Serbian families with thrombosis. However, due to clinical data scarcity and the inapplicability of traditional genome-wide association studies (GWAS), a broader perspective on molecular and phenotypic mechanisms associated with the Prothrombin Belgrade variant is yet to be uncovered. Here, we propose an integrative framework to address the lack of genomic samples and support the genomic signal from the full genome sequences of five heterozygous subjects by integrating it with subjects' phenotypes and the genes' molecular interactions. Our goal is to identify candidate thrombophilia-related genes for which our subjects possess germline variants by focusing on the resulting gene clusters of our integrative framework. We applied a Non-negative Matrix Tri-Factorization-based method to simultaneously integrate different data sources, taking into account the observed phenotypes. In other words, our data-integration framework reveals gene clusters involved with this rare disease by fusing different datasets. Our results are in concordance with the current literature about antithrombin resistance. We also found candidate disease-related genes that need to be further investigated. CD320, RTEL1, UCP2, APOA5 and PROZ participate in healthy-specific or disease-specific subnetworks involving thrombophilia-annotated genes and are related to general thrombophilia mechanisms according to the literature. Moreover, the ADRA2A and TBXA2R subnetworks analysis suggested that their variants may have a protective effect due to their connection with decreased platelet activation. The results show that our method can give insights into antithrombin resistance even if a small amount of genetic data is available. Our framework is also customizable, meaning that it applies to any other rare disease.
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Affiliation(s)
- Noël Malod-Dognin
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Department of Computer Science, University College London, London, United Kingdom
| | - Gaia Ceddia
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
| | - Maja Gvozdenov
- Institute of Molecular Genetics and Genetic Engineering (IMGGE), University of Belgrade, Belgrade, Serbia
| | - Branko Tomić
- Institute of Molecular Genetics and Genetic Engineering (IMGGE), University of Belgrade, Belgrade, Serbia
| | - Sofija Dunjić Manevski
- Institute of Molecular Genetics and Genetic Engineering (IMGGE), University of Belgrade, Belgrade, Serbia
| | - Valentina Djordjević
- Institute of Molecular Genetics and Genetic Engineering (IMGGE), University of Belgrade, Belgrade, Serbia
| | - Nataša Pržulj
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Department of Computer Science, University College London, London, United Kingdom
- ICREA, Barcelona, Spain
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35
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Ramond F, Dalgliesh C, Grimmel M, Wechsberg O, Vetro A, Guerrini R, FitzPatrick D, Poole RL, Lebrun M, Bayat A, Grasshoff U, Bertrand M, Witt D, Turnpenny PD, Faundes V, Santa María L, Mendoza Fuentes C, Mabe P, Hussain SA, Mullegama SV, Torti E, Oehl-Jaschkowitz B, Salmon LB, Orenstein N, Shahar NR, Hagari O, Bazak L, Hoffjan S, Prada CE, Haack T, Elliott DJ. Clustered variants in the 5' coding region of TRA2B cause a distinctive neurodevelopmental syndrome. Genet Med 2022; 25:100003. [PMID: 36549593 DOI: 10.1016/j.gim.2022.100003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
PURPOSE Transformer2 proteins (Tra2α and Tra2β) control splicing patterns in human cells, and no human phenotypes have been associated with germline variants in these genes. The aim of this work was to associate germline variants in the TRA2B gene to a novel neurodevelopmental disorder. METHODS A total of 12 individuals from 11 unrelated families who harbored predicted loss-of-function monoallelic variants, mostly de novo, were recruited. RNA sequencing and western blot analyses of Tra2β-1 and Tra2β-3 isoforms from patient-derived cells were performed. Tra2β1-GFP, Tra2β3-GFP and CHEK1 exon 3 plasmids were transfected into HEK-293 cells. RESULTS All variants clustered in the 5' part of TRA2B, upstream of an alternative translation start site responsible for the expression of the noncanonical Tra2β-3 isoform. All affected individuals presented intellectual disability and/or developmental delay, frequently associated with infantile spasms, microcephaly, brain anomalies, autism spectrum disorder, feeding difficulties, and short stature. Experimental studies showed that these variants decreased the expression of the canonical Tra2β-1 isoform, whereas they increased the expression of the Tra2β-3 isoform, which is shorter and lacks the N-terminal RS1 domain. Increased expression of Tra2β-3-GFP were shown to interfere with the incorporation of CHEK1 exon 3 into its mature transcript, normally incorporated by Tra2β-1. CONCLUSION Predicted loss-of-function variants clustered in the 5' portion of TRA2B cause a new neurodevelopmental syndrome through an apparently dominant negative disease mechanism involving the use of an alternative translation start site and the overexpression of a shorter, repressive Tra2β protein.
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Affiliation(s)
- Francis Ramond
- Service de Génétique, Hôpital Nord, CHU Saint-Etienne, Saint-Etienne, France.
| | - Caroline Dalgliesh
- Newcastle University Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Mona Grimmel
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tübingen, Germany
| | - Oded Wechsberg
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel; Maccabi Healthcare Services, Tel Aviv, Israel
| | - Annalisa Vetro
- Neuroscience Department, Meyer Children's Hospital and University of Florence, Florence, Italy
| | - Renzo Guerrini
- Neuroscience Department, Meyer Children's Hospital and University of Florence, Florence, Italy
| | - David FitzPatrick
- MRC Human Genetics Unit, The University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | - Rebecca L Poole
- NHS Education for Scotland South East Region, South East of Scotland Clinical Genetics Service, Edinburgh, United Kingdom
| | - Marine Lebrun
- Service de Génétique, Hôpital Nord, CHU Saint-Etienne, Saint-Etienne, France
| | - Allan Bayat
- Institute for Regional Health Services, University of Southern Denmark, Odense, Denmark; Department of Epilepsy Genetics and Personalized Medicine, The Danish Epilepsy Center, Dianalund, Denmark
| | - Ute Grasshoff
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tübingen, Germany
| | - Miriam Bertrand
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tübingen, Germany
| | - Dennis Witt
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tübingen, Germany
| | - Peter D Turnpenny
- Clinical Genetics, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Víctor Faundes
- Laboratorio de Genética y Enfermedades Metabólicas, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Lorena Santa María
- Laboratorio de Genética y Enfermedades Metabólicas, Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Carolina Mendoza Fuentes
- Unidad de Endocrinología, División de Pediatría, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Paulina Mabe
- Unidad de Neurología, Hospital de Niños Dr. Exequiel González Cortés, Santiago, Chile
| | - Shaun A Hussain
- Division of Pediatric Neurology, University of California, Los Angeles, Los Angeles, CA
| | | | | | | | - Lina Basel Salmon
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; The Raphael Recanati Genetic Institute, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel; Pediatric Immunogenetics, Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Naama Orenstein
- Pediatric Genetics Unit, Schneider Children's Medical Center of Israel, Petach Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Noa Ruhrman Shahar
- The Raphael Recanati Genetic Institute, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel
| | - Ofir Hagari
- The Raphael Recanati Genetic Institute, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel
| | - Lily Bazak
- The Raphael Recanati Genetic Institute, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel
| | - Sabine Hoffjan
- Abteilung für Humangenetik, Ruhr-Universitat Bochum, Bochum, Germany
| | - Carlos E Prada
- Division of Genetics, Birth Defects and Metabolism, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Department of Pediatrics, Feinberg School of Medicine of Northwestern University, Chicago, IL
| | - Tobias Haack
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tübingen, Germany; Centre for Rare Diseases, University of Tuebingen, Tuebingen, Germany
| | - David J Elliott
- Newcastle University Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
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Karimi K, Do DN, Wang J, Easley J, Borzouie S, Sargolzaei M, Plastow G, Wang Z, Miar Y. A chromosome-level genome assembly reveals genomic characteristics of the American mink (Neogale vison). Commun Biol 2022; 5:1381. [PMID: 36526733 PMCID: PMC9757699 DOI: 10.1038/s42003-022-04341-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Availability of a contiguous chromosome-level genome assembly is the foundational step to develop genome-based studies in American mink (Neogale vison). The main objective of this study was to provide a high quality chromosome-level genome assembly for American mink. An initial draft of the genome assembly was generated using 2,884,047 PacBio long reads. Integration of Hi-C data into the initial draft led to an assembly with 183 scaffolds and scaffold N50 of 220 Mb. This gap-free genome assembly of American mink (ASM_NN_V1) had a length of 2.68 Gb in which about 98.6% of the whole genome was covered by 15 chromosomes. In total, 25,377 genes were predicted across the American mink genome using the NCBI Eukaryotic Genome Annotation Pipeline. In addition, gene orthology, demographic history, synteny blocks, and phylogenetic relationships were studied in connection with the genomes of other related Carnivora. Furthermore, population-based statistics of 100 sequenced mink were presented using the newly assembled genome. Remarkable improvements were observed in genome contiguity, the number of scaffolds, and annotation compared to the first draft of mink genome assembly (NNQGG.v01). This high-quality genome assembly will support the development of efficient breeding strategies as well as conservation programs for American mink.
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Affiliation(s)
- Karim Karimi
- grid.55602.340000 0004 1936 8200Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS Canada
| | - Duy Ngoc Do
- grid.55602.340000 0004 1936 8200Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS Canada
| | - Jingy Wang
- grid.55602.340000 0004 1936 8200Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS Canada
| | - John Easley
- Joint Mink Research Committee, Fur Commission USA, Preston, ID USA ,Mink Veterinary Consulting and Research Service, Plymouth, WI USA
| | - Shima Borzouie
- grid.55602.340000 0004 1936 8200Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS Canada
| | - Mehdi Sargolzaei
- grid.34429.380000 0004 1936 8198Department of Pathobiology, University of Guelph, Guelph, ON Canada ,Select Sires Inc., Plain City, OH USA
| | - Graham Plastow
- grid.17089.370000 0001 2190 316XLivestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB Canada
| | - Zhiquan Wang
- grid.17089.370000 0001 2190 316XLivestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB Canada
| | - Younes Miar
- grid.55602.340000 0004 1936 8200Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS Canada
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Hashimi M, Sebrell T, Hedges J, Snyder D, Lyon K, Byrum S, Mackintosh SG, Cherne M, Skwarchuk D, Crowley D, Robison A, Sidar B, Kunze A, Loveday E, Taylor M, Chang C, Wilking J, Walk S, Schountz T, Jutila M, Bimczok D. Antiviral response mechanisms in a Jamaican Fruit Bat intestinal organoid model of SARS-CoV-2 infection. Res Sq 2022:rs.3.rs-2340919. [PMID: 36561186 PMCID: PMC9774215 DOI: 10.21203/rs.3.rs-2340919/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Bats are natural reservoirs for several zoonotic viruses, potentially due to an enhanced capacity to control viral infection. However, the mechanisms of antiviral responses in bats are poorly defined. Here we established a Jamaican fruit bat (JFB) intestinal organoid model of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. JFB organoids were susceptible to SARS-CoV-2 infection, with increased viral RNA and subgenomic RNA detected in cell lysates and supernatants. Gene expression of type I interferons and inflammatory cytokines was induced in response to SARS-CoV-2 but not in response to TLR agonists. Interestingly, SARS-CoV-2 did not lead to cytopathic effects in JFB organoids but caused enhanced organoid growth. Proteomic analyses revealed an increase in inflammatory signaling, cell turnover, cell repair, and SARS-CoV-2 infection pathways. Collectively, our findings suggest that primary JFB intestinal epithelial cells can mount a successful antiviral interferon response and that SARS-CoV-2 infection in JFB cells induces protective regenerative pathways.
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Abstract
Recent studies have identified long non-coding RNAs (lncRNAs) as potential regulators of adipogenesis. In this study, we have characterized a lncRNA, LIPE-AS1, that spans genes CEACAM1 to LIPE in man with conservation of genomic organization and tissue expression between mouse and man. Tissue-specific expression of isoforms of the murine lncRNA were found in liver and adipose tissue, one of which, designated mLas-V3, overlapped the Lipe gene encoding hormone-sensitive lipase in both mouse and man suggesting that it may have a functional role in adipose tissue. Knock down of expression of mLas-V3 using anti-sense oligos (ASOs) led to a significant decrease in the differentiation of the OP9 pre-adipocyte cell line through the down regulation of the major adipogenic transcription factors Pparg and Cebpa. Knock down of mLas-V3 induced apoptosis during the differentiation of OP9 cells as shown by expression of active caspase-3, a change in the localization of LIP/LAP isoforms of C/EBPβ, and expression of the cellular stress induced factors CHOP, p53, PUMA, and NOXA. We conclude that mLas-V3 may play a role in protecting against stress associated with adipogenesis, and its absence leads to apoptosis.
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Affiliation(s)
- Alyssa Thunen
- Department of Molecular Imaging and Therapy, Beckman Research Institute of City of Hope, Duarte, CA, USA
- Irell and Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Deirdre La Placa
- Department of Molecular Imaging and Therapy, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Zhifang Zhang
- Department of Molecular Imaging and Therapy, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - John E. Shively
- Department of Molecular Imaging and Therapy, Beckman Research Institute of City of Hope, Duarte, CA, USA
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Tan YH, Poong SW, Yang CH, Lim PE, John B, Pai TW, Phang SM. Transcriptomic analysis reveals distinct mechanisms of adaptation of a polar picophytoplankter under ocean acidification conditions. Mar Environ Res 2022; 182:105782. [PMID: 36308800 DOI: 10.1016/j.marenvres.2022.105782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/12/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
Human emissions of carbon dioxide are causing irreversible changes in our oceans and impacting marine phytoplankton, including a group of small green algae known as picochlorophytes. Picochlorophytes grown in natural phytoplankton communities under future predicted levels of carbon dioxide have been demonstrated to thrive, along with redistribution of the cellular metabolome that enhances growth rate and photosynthesis. Here, using next-generation sequencing technology, we measured levels of transcripts in a picochlorophyte Chlorella, isolated from the sub-Antarctic and acclimated under high and current ambient CO2 levels, to better understand the molecular mechanisms involved with its ability to acclimate to elevated CO2. Compared to other phytoplankton taxa that induce broad transcriptomic responses involving multiple parts of their cellular metabolism, the changes observed in Chlorella focused on activating gene regulation involved in different sets of pathways such as light harvesting complex binding proteins, amino acid synthesis and RNA modification, while carbon metabolism was largely unaffected. Triggering a specific set of genes could be a unique strategy of small green phytoplankton under high CO2 in polar oceans.
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Affiliation(s)
- Yong-Hao Tan
- Institute for Advanced Studies, University of Malaya, Kuala Lumpur, Malaysia; Institute of Ocean & Earth Sciences, University of Malaya, Kuala Lumpur, Malaysia
| | - Sze-Wan Poong
- Institute of Ocean & Earth Sciences, University of Malaya, Kuala Lumpur, Malaysia
| | - Cing-Han Yang
- Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan
| | - Phaik-Eem Lim
- Institute of Ocean & Earth Sciences, University of Malaya, Kuala Lumpur, Malaysia.
| | - Beardall John
- School of Biological Sciences, Monash University, Clayton, Australia
| | - Tun-Wen Pai
- Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan; Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan
| | - Siew-Moi Phang
- Institute of Ocean & Earth Sciences, University of Malaya, Kuala Lumpur, Malaysia; Department of Biotechnology, Faculty of Applied Science, UCSI University, Kuala Lumpur, Malaysia; The Chancellery, UCSI University, Kuala Lumpur, Malaysia
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Zhang M, Zhao J, Li C, Ge F, Wu J, Jiang B, Song J, Song X. csORF-finder: an effective ensemble learning framework for accurate identification of multi-species coding short open reading frames. Brief Bioinform 2022; 23:bbac392. [PMID: 36094083 PMCID: PMC9677467 DOI: 10.1093/bib/bbac392] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 08/03/2022] [Accepted: 08/11/2022] [Indexed: 12/14/2022] Open
Abstract
Short open reading frames (sORFs) refer to the small nucleic fragments no longer than 303 nt in length that probably encode small peptides. To date, translatable sORFs have been found in both untranslated regions of messenger ribonucleic acids (RNAs; mRNAs) and long non-coding RNAs (lncRNAs), playing vital roles in a myriad of biological processes. As not all sORFs are translated or essentially translatable, it is important to develop a highly accurate computational tool for characterizing the coding potential of sORFs, thereby facilitating discovery of novel functional peptides. In light of this, we designed a series of ensemble models by integrating Efficient-CapsNet and LightGBM, collectively termed csORF-finder, to differentiate the coding sORFs (csORFs) from non-coding sORFs in Homo sapiens, Mus musculus and Drosophila melanogaster, respectively. To improve the performance of csORF-finder, we introduced a novel feature encoding scheme named trinucleotide deviation from expected mean (TDE) and computed all types of in-frame sequence-based features, such as i-framed-3mer, i-framed-CKSNAP and i-framed-TDE. Benchmarking results showed that these features could significantly boost the performance compared to the original 3-mer, CKSNAP and TDE features. Our performance comparisons showed that csORF-finder achieved a superior performance than the state-of-the-art methods for csORF prediction on multi-species and non-ATG initiation independent test datasets. Furthermore, we applied csORF-finder to screen the lncRNA datasets for identifying potential csORFs. The resulting data serve as an important computational repository for further experimental validation. We hope that csORF-finder can be exploited as a powerful platform for high-throughput identification of csORFs and functional characterization of these csORFs encoded peptides.
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Affiliation(s)
- Meng Zhang
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
| | - Jian Zhao
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
| | - Chen Li
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
| | - Fang Ge
- School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China
| | - Jing Wu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China
| | - Bin Jiang
- College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
| | - Jiangning Song
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
- Monash Data Futures Institute, Monash University, Melbourne, VIC 3800, Australia
| | - Xiaofeng Song
- Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
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Hammad R, Aglan RB, Mohammed SA, Awad EA, Elsaid MA, Bedair HM, Khirala SK, Selim MA, Abo Elqasem AA, Rushdi A, Ali M, Abo-elkheir OI, Sanad EF, Hamdy NM. Cytotoxic T Cell Expression of Leukocyte-Associated Immunoglobulin-Like Receptor-1 (LAIR-1) in Viral Hepatitis C-Mediated Hepatocellular Carcinoma. Int J Mol Sci 2022; 23:12541. [PMID: 36293412 PMCID: PMC9604124 DOI: 10.3390/ijms232012541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 11/17/2022] Open
Abstract
Virus-related hepatocellular carcinoma (HCC) pathogenesis involves liver inflammation, therefore, despite successful treatment, hepatitis C virus (HCV) may progress to HCC from initiated liver cirrhosis. Cytotoxic T cells (Tcs) are known to be involved in HCV-related cirrhotic complications and HCC pathogenesis. The inhibitory checkpoint leukocyte-associated immunoglobulin-like receptor-1 (LAIR-1) is expressed on Tcs. Therefore, we aimed to determine whether the Tc expression level of LAIR-1 is associated with HCC progression and to evaluate LAIR-1 expression as a noninvasive biomarker for HCC progression in the context of liver cirrhosis related to HCV genotype 4 (G4) in Egyptian patients’ peripheral venous blood liquid biopsy. A total of 64 patients with HCC and 37 patients with liver cirrhosis were enrolled in this case-controlled study, and their LAIR-1 expression on Tc related to the progression of liver cirrhosis was examined and compared to that of the apparently healthy control group (n = 20). LAIR-1 expression was analyzed using flow cytometry. Results: The HCC group had significantly higher LAIR-1 expression on Tc and percentage of Tc positive for LAIR-1 (LAIR-1+Tc%) than the HCV G4-related liver cirrhosis group. LAIR-1+Tc% was correlated with the HCC surrogate tumor marker AFP (r = 0.367, p = 0.001) and insulin resistance and inflammation prognostic ratios/indices. A receiver operating characteristic (ROC) curve revealed that adding LAIR-1+Tc% to AFP can distinguish HCC transformation in the Egyptian patients’ cohort. Upregulated LAIR-1 expression on Tc could be a potential screening noninvasive molecular marker for chronic inflammatory HCV G4 related liver cirrhosis. Moreover, LAIR-1 expression on Tc may be one of the players involved in the progression of liver cirrhosis to HCC.
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Qian Z, Li X, He L, Gu S, Shen Q, Rao X, Zhang R, Di Y, Xie L, Wang X, Chen S, Dong Y, Li F. EfGD: the Erianthus fulvus genome database. Database (Oxford) 2022; 2022:6679393. [PMID: 36043401 PMCID: PMC9428683 DOI: 10.1093/database/baac076] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/10/2022] [Accepted: 08/25/2022] [Indexed: 11/30/2022]
Abstract
Erianthus fulvus (TaxID: 154759) is a valuable germplasm resource in sugarcane breeding and research and has excellent agronomic traits, such as drought resistance, cold resistance, barren tolerance and high brix. With a stable chromosome number (2n = 20) and a small genome (0.9 Gb), it is an ideal candidate for research on sugarcane. Next-generation sequencing technology has enabled a growing number of studies to focus on genomics. Due to the large amount of omics data available, a centralized platform is necessary for ensuring the consistency, independence and maintainability of these large-scale datasets through storage, analysis and integration. Here, we present a comprehensive database for the E. fulvus genome, EfGD. By using the new high-quality reference genome and its annotations, the EfGD provides the largest whole-genome sequencing reference dataset for E. fulvus, which archives 27 165 protein-coding genes and 55 564 488 SNPs from 202 newly resequenced genomes. Furthermore, we created a user-friendly graphical interface for visualizing genomic diversity, population structure and evolution and provided other tools on an open platform. Database URL: https://efgenome.ynau.edu.cn
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Affiliation(s)
- Zhenfeng Qian
- The Key Laboratory for Crop Production and Intelligent Agriculture of Yunnan Province, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Xuzhen Li
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- College of Biological Big Data, Yunnan Agriculture University , Kunming, No. 95 Jinhei Road, Yunnan 650201, China
| | - Lilian He
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Shujie Gu
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Qingqing Shen
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Xibing Rao
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Rongqiong Zhang
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Yining Di
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Linyan Xie
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Xianhong Wang
- The Key Laboratory for Crop Production and Intelligent Agriculture of Yunnan Province, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Shuying Chen
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
| | - Yang Dong
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- College of Biological Big Data, Yunnan Agriculture University , Kunming, No. 95 Jinhei Road, Yunnan 650201, China
| | - Fusheng Li
- The Key Laboratory for Crop Production and Intelligent Agriculture of Yunnan Province, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- College of Agronomy and Biotechnology, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
- Sugarcane Research Institute, Yunnan Agricultural University , No. 95 Jinhei Road, Kunming 650201, China
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Xue Z, Yuan J, Chen F, Yao Y, Xing S, Yu X, Li K, Wang C, Bao J, Qu J, Su J, Chen H. Genome-wide association meta-analysis of 88,250 individuals highlights pleiotropic mechanisms of five ocular diseases in UK Biobank. EBioMedicine 2022; 82:104161. [PMID: 35841873 PMCID: PMC9297108 DOI: 10.1016/j.ebiom.2022.104161] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Ocular diseases may exhibit common clinical symptoms and epidemiological comorbidity. However, the extent of pleiotropic mechanisms across ocular diseases remains unclear. We aim to examine shared genetic etiology in age-related macular degeneration (AMD), diabetic retinopathy (DR), glaucoma, retinal detachment (RD), and myopia. METHODS We analyzed genome-wide association analyses for the five ocular diseases in 43,877 cases and 44,373 controls of European ancestry from UK Biobank, estimated their genetic relationships (LDSC, GNOVA, and Genomic SEM), and identified pleiotropic loci (ASSET and METASOFT). FINDINGS The genetic correlation of common SNPs revealed a meaningful genetic structure within these diseases, identifying genetic correlations between AMD, DR, and glaucoma. Cross-trait meta-analysis identified 23 pleiotropic loci associated with at least two ocular diseases and 14 loci unique to individual disorders (non-pleiotropic). We found that the genes associated with these shared genetic loci are involved in neuron differentiation (P = 8.80 × 10-6) and eye development systems (P = 3.86 × 10-5), and single cell RNA sequencing data reveals their heightened gene expression from multipotent progenitors to other differentiated retinal cells during retina developmental process. INTERPRETATION These results highlighted the potential common genetic architectures among these ocular diseases and can deepen the understanding of the molecular mechanisms underlying the related diseases. FUNDING The National Natural Science Foundation of China (61871294), Zhejiang Provincial Natural Science Foundation of China (LR19C060001), and the Scientific Research Foundation for Talents of Wenzhou Medical University (QTJ18023).
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Affiliation(s)
- Zhengbo Xue
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Jian Yuan
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Fukun Chen
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Yinghao Yao
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325105, Zhejiang, China
| | - Shilai Xing
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Xiangyi Yu
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Kai Li
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325105, Zhejiang, China
| | - Chenxiao Wang
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Jinhua Bao
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Jia Qu
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou 325101, Zhejiang, China
| | - Jianzhong Su
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou 325101, Zhejiang, China; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325105, Zhejiang, China.
| | - Hao Chen
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou 325027, Zhejiang, China.
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Ward KM, Pickett BD, Ebbert MTW, Kauwe JSK, Miller JB. Web-Based Protein Interactions Calculator Identifies Likely Proteome Coevolution with Alzheimer’s Disease-Associated Proteins. Genes (Basel) 2022; 13:genes13081346. [PMID: 36011253 PMCID: PMC9407263 DOI: 10.3390/genes13081346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 07/22/2022] [Accepted: 07/23/2022] [Indexed: 11/19/2022] Open
Abstract
Protein–protein functional interactions arise from either transitory or permanent biomolecular associations and often lead to the coevolution of the interacting residues. Although mutual information has traditionally been used to identify coevolving residues within the same protein, its application between coevolving proteins remains largely uncharacterized. Therefore, we developed the Protein Interactions Calculator (PIC) to efficiently identify coevolving residues between two protein sequences using mutual information. We verified the algorithm using 2102 known human protein interactions and 233 known bacterial protein interactions, with a respective 1975 and 252 non-interacting protein controls. The average PIC score for known human protein interactions was 4.5 times higher than non-interacting proteins (p = 1.03 × 10−108) and 1.94 times higher in bacteria (p = 1.22 × 10−35). We then used the PIC scores to determine the probability that two proteins interact. Using those probabilities, we paired 37 Alzheimer’s disease-associated proteins with 8608 other proteins and determined the likelihood that each pair interacts, which we report through a web interface. The PIC had significantly higher sensitivity and residue-specific resolution not available in other algorithms. Therefore, we propose that the PIC can be used to prioritize potential protein interactions, which can lead to a better understanding of biological processes and additional therapeutic targets belonging to protein interaction groups.
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Affiliation(s)
- Katrisa M. Ward
- Department of Biology, Brigham Young University, Provo, UT 84602, USA; (K.M.W.); (B.D.P.); (J.S.K.K.)
| | - Brandon D. Pickett
- Department of Biology, Brigham Young University, Provo, UT 84602, USA; (K.M.W.); (B.D.P.); (J.S.K.K.)
| | - Mark T. W. Ebbert
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA;
- Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY 40506, USA
| | - John S. K. Kauwe
- Department of Biology, Brigham Young University, Provo, UT 84602, USA; (K.M.W.); (B.D.P.); (J.S.K.K.)
| | - Justin B. Miller
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA;
- Division of Biomedical Informatics, Department of Internal Medicine, University of Kentucky, Lexington, KY 40506, USA
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY 40506, USA
- Correspondence: ; Tel.: +1-859-562-0333
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Linder S, Hoogstraat M, Stelloo S, Eickhoff N, Schuurman K, de Barros H, Alkemade M, Bekers EM, Severson TM, Sanders J, Huang CCF, Morova T, Altintas UB, Hoekman L, Kim Y, Baca SC, Sjostrom M, Zaalberg A, Hintzen DC, de Jong J, Kluin RJC, de Rink I, Giambartolomei C, Seo JH, Pasaniuc B, Altelaar M, Medema RH, Feng FY, Zoubeidi A, Freedman ML, Wessels LFA, Butler LM, Lack NA, van der Poel H, Bergman AM, Zwart W. Drug-induced epigenomic plasticity reprograms circadian rhythm regulation to drive prostate cancer towards androgen-independence. Cancer Discov 2022; 12:2074-2097. [PMID: 35754340 PMCID: PMC7613567 DOI: 10.1158/2159-8290.cd-21-0576] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 05/17/2022] [Accepted: 06/09/2022] [Indexed: 11/16/2022]
Abstract
In prostate cancer, androgen receptor (AR)-targeting agents are very effective in various disease stages. However, therapy resistance inevitably occurs and little is known about how tumor cells adapt to bypass AR suppression. Here, we performed integrative multi-omics analyses on tissues isolated before and after 3 months of AR-targeting enzalutamide monotherapy from high-risk prostate cancer patients enrolled in a neoadjuvant clinical trial. Transcriptomic analyses demonstrated that AR inhibition drove tumors towards a neuroendocrine-like disease state. Additionally, epigenomic profiling revealed massive enzalutamide-induced reprogramming of pioneer factor FOXA1 - from inactive chromatin sites towards active cis-regulatory elements that dictate pro-survival signals. Notably, treatment-induced FOXA1 sites were enriched for circadian clock component ARNTL. Post-treatment ARNTL levels associated with poor outcome, and ARNTL knockout strongly decreased prostate cancer cell growth. Our data highlight a remarkable cistromic plasticity of FOXA1 following AR-targeted therapy, and revealed an acquired dependency on circadian regulator ARNTL, a novel candidate therapeutic target.
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Affiliation(s)
- Simon Linder
- The Netherlands Cancer Institute, Amsterdam, North Holland, Netherlands
| | | | - Suzan Stelloo
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Nils Eickhoff
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | | | - Elise M Bekers
- The Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | - Joyce Sanders
- The Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | - Tunc Morova
- University of British Columbia, Vancouver, BC, Canada
| | | | | | | | - Sylvan C Baca
- Hungarian Academy of Sciences, Boston, United States
| | - Martin Sjostrom
- University of California, San Francisco, San Francisco, United States
| | | | | | | | - Roelof J C Kluin
- The Netherlands Cancer Institute, Amsterdam, Noord-Holland, Netherlands
| | | | | | - Ji-Heui Seo
- Dana-Farber Cancer Institute, BOSTON, Massachusetts, United States
| | - Bogdan Pasaniuc
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
| | | | - Rene H Medema
- University Medical Center Utrecht, Amsterdam, Netherlands
| | - Felix Y Feng
- University of California, San Francisco, San Francisco, CA, United States
| | - Amina Zoubeidi
- University of British Columbia, Vancouver, British Colombia, Canada
| | | | | | - Lisa M Butler
- University of Adelaide, School of Medicine and Freemasons Foundation Centre for Men's Health, Adelaide, SA, Australia
| | - Nathan A Lack
- University of British Columbia, Vancouver, BC, Canada
| | | | | | - Wilbert Zwart
- Netherlands Cancer Institute, Amsterdam, Netherlands
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46
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Hiregange DG, Rivalta A, Yonath A, Zimmerman E, Bashan A, Yonath H. Mutations in RPS19 may affect ribosome function and biogenesis in Diamond Blackfan Anemia. FEBS Open Bio 2022; 12:1419-1434. [PMID: 35583751 PMCID: PMC9249338 DOI: 10.1002/2211-5463.13444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/04/2022] [Accepted: 05/17/2022] [Indexed: 11/12/2022] Open
Abstract
Ribosomes, the cellular organelles translating the genetic code to proteins, are assemblies of RNA chains and many proteins (RPs) arranged in precise fine-tuned interwoven structures. Mutated ribosomal genes cause ribosomopathies, including Diamond Blackfan Anemia (DBA, a rare heterogeneous red-cell aplasia connected to ribosome malfunction) or failed biogenesis. Combined bioinformatical, structural, and predictive analyses of potential consequences of possibly expressed mutations in eS19, the protein product of the highly mutated RPS19, suggests that mutations in its exposed surface could alter its positioning during assembly and consequently prevent biogenesis, implying a natural selective strategy to avoid malfunctions in ribosome assembly. A search for RPS19 pseudogenes indicated >90% sequence identity with the wild type, hinting at its expression in cases of absent or truncated gene products.
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Affiliation(s)
| | - Andre Rivalta
- The Department of Chemical and Structural Biology, Weizmann Institute of Science, Israel
| | - Ada Yonath
- The Department of Chemical and Structural Biology, Weizmann Institute of Science, Israel
| | - Ella Zimmerman
- The Department of Chemical and Structural Biology, Weizmann Institute of Science, Israel
| | - Anat Bashan
- The Department of Chemical and Structural Biology, Weizmann Institute of Science, Israel
| | - Hagith Yonath
- Internal Medicine A and Genetics Institute Sheba Medical Center, and Sackler School of Medicine, Tel Aviv University, Israel
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47
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Taura M, Frank JA, Takahashi T, Kong Y, Kudo E, Song E, Tokuyama M, Iwasaki A. APOBEC3A regulates transcription from interferon-stimulated response elements. Proc Natl Acad Sci U S A 2022; 119:e2011665119. [PMID: 35549556 PMCID: PMC9171812 DOI: 10.1073/pnas.2011665119] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 04/11/2022] [Indexed: 01/04/2023] Open
Abstract
APOBEC3A (A3A) is a cytidine deaminase that inactivates a variety of viruses through introduction of lethal mutations to the viral genome. Additionally, A3A can suppress HIV-1 transcription in a deaminase-independent manner by binding to the long terminal repeat of proviral HIV-1. However, it is unknown whether A3A targets additional host genomic loci for repression. In this study, we found that A3A suppresses gene expression by binding TTTC doublets that are in close proximity to each other. However, one TTTC motif is sufficient for A3A binding. Because TTTC doublets are present in interferon (IFN)-stimulated response elements (ISRE), we hypothesized that A3A may impact IFN-stimulated gene (ISG) expression. After scanning the human genome for TTTC doublet occurrences, we discovered that these motifs are enriched in the proximal promoters of genes associated with antiviral responses and type I IFN (IFN-I) signaling. As a proof of principle, we examined whether A3A can impact ISG15 expression. We found that A3A binding to the ISRE inhibits phosphorylated STAT-1 binding and suppresses ISG15 induction in response to IFN-I treatment. Consistent with these data, our RNA-sequencing analyses indicate that A3A loss results in increased IFN-I–dependent induction of several ISGs. This study revealed that A3A plays an unexpected role in ISG regulation and suggests that A3A contributes to a negative feedback loop during IFN signaling.
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Affiliation(s)
- Manabu Taura
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
- Laboratory of Bioresponse Regulation, Graduate School of Pharmaceutical Sciences, Osaka University, 565-0871 Suita, Japan
| | - John A. Frank
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
| | - Takehiro Takahashi
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
| | - Yong Kong
- Department of Molecular Biophysics and Biochemistry, W. M. Keck Foundation Biotechnology Resource Laboratory, Yale University School of Medicine, New Haven, CT 06520
| | - Eriko Kudo
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
| | - Eric Song
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
| | - Maria Tokuyama
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
- HHMI, Chevy Chase, MD 20815
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48
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Li D, Liao Q, Tao Y, Ni S, Wang C, Xu D, Zhou D, Li X, Jin X, Chen X, Cui W, Zhang J. Downregulation of CRTC1 Is Involved in CUMS-Induced Depression-Like Behavior in the Hippocampus and Its RNA Sequencing Analysis. Mol Neurobiol 2022. [PMID: 35556215 DOI: 10.1007/s12035-022-02787-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/26/2022] [Indexed: 10/18/2022]
Abstract
Chronic stress is an important risk factor for mood disorders including depression. The decreased level of CREB (cAMP-responsive element binding)-regulated transcription coactivator 1 (CRTC1) expression in hippocampus may be involved in depression-like behavior in some stress-induced depression models. But the mechanism of CRTC1 in mediating depression-like behavior remains unknown. In this study, chronic unpredictable mild stress (CUMS)-treated mice showed depression-like behavior accompanied by the downregulation of CRTC1 in the hippocampus. Adeno-associated virus (AAV)-CRTC1-mediated overexpression of CRTC1 in the hippocampus by stereotactic brain injection could significantly prevent depression-like behavior in CUMS-treated mice. The above data reveal that the downregulation of hippocampal CRTC1 expression participates in CUMS-induced depression-like behavior. In order to explore the key targets regulated by CRTC1, AAV-mediated CRTC1 short hairpin (shRNA) was constructed to achieve knockdown of CRTC1 in the hippocampus, and then the hippocampi were collected for RNA-sequencing (RNA-seq). The RNA-seq data show that upregulated genes were enriched in stress and immune system-associated GO terms and pathways such as response to stress and external stimulus and regulation of immune response and that downregulated genes were enriched in neural activity such as synaptic transmission and cognitive behavior. We further provided RT-qPCR data that the inflammation-related factors including Gpr84, Tlr2, Lyz2, and Icam1 were significantly upregulated in the hippocampus of both CUMS- and CRTC1 shRNA-induced models, some of them were also validated in protein levels by Western blotting. We propose a hypothesis that CUMS induces downregulation of CRTC1, which might lead to depression-like behavior via neuroinflammation pathway. This study provides new explanation for the inflammatory hypothesis of depression and some clues for exploring the molecular mechanism of CRTC1 regulation.
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49
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Chen X, Zhu Z, Zhang W, Wang Y, Wang F, Yang J, Wong KC. Human disease prediction from microbiome data by multiple feature fusion and deep learning. iScience 2022; 25:104081. [PMID: 35372808 PMCID: PMC8971930 DOI: 10.1016/j.isci.2022.104081] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 09/16/2021] [Accepted: 03/13/2022] [Indexed: 10/29/2022] Open
Abstract
Human disease prediction from microbiome data has broad implications in metagenomics. It is rare for the existing methods to consider abundance profiles from both known and unknown microbial organisms, or capture the taxonomic relationships among microbial taxa, leading to significant information loss. On the other hand, deep learning has shown unprecedented advantages in classification tasks for its feature-learning ability. However, it encounters the opposite situation in metagenome-based disease prediction since high-dimensional low-sample-size metagenomic datasets can lead to severe overfitting; and black-box model fails in providing biological explanations. To circumvent the related problems, we developed MetaDR, a comprehensive machine learning-based framework that integrates various information and deep learning to predict human diseases. Experimental results indicate that MetaDR achieves competitive prediction performance with a reduction in running time, and effectively discovers the informative features with biological insights.
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Affiliation(s)
- Xingjian Chen
- Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong SAR
| | - Zifan Zhu
- Quantitative and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA
| | - Weitong Zhang
- Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong SAR
| | - Yuchen Wang
- Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong SAR
| | - Fuzhou Wang
- Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong SAR
| | - Jianyi Yang
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Ka-Chun Wong
- Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong SAR.,Hong Kong Institute for Data Science, City University of Hong Kong, Kowloon Tong, Hong Kong SAR
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50
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Lou X, Ye Z, Xu X, Jiang M, Lu R, Jing D, Zhang W, Gao H, Wang F, Zhang Y, Chen X, Qin Y, Zhuo Q, Yu X, Ji S. Establishment and characterization of the third non-functional human pancreatic neuroendocrine tumor cell line. Hum Cell 2022; 35:1248-1261. [PMID: 35394261 DOI: 10.1007/s13577-022-00696-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/24/2022] [Indexed: 11/29/2022]
Abstract
The mechanisms of neuroendocrine tumor (NET) were still poorly understood, largely due to the lack of preclinical models of neuroendocrine neoplasms. Herein, we established and characterized SPNE1 cell lines from primary pancreatic NET tissue obtained from a 44-year-old female. Neuroendocrine character of SPNE1 was compared with existing non-functional cell lines BON1 and QGP1, and the results indicated expressions of multiple NET-specific markers in SPNE1 were higher relative to BON1 and QGP1. The growth character measured by Ki67 labeling index, cell cycle analysis, and 3D matrigel spheroid essay indicated that the proliferative rate of SPNE1 was lower than that of BON1 and QGP1. SPNE1 also was characterized with cancer stemness because of the higher proportion of CD44 + and CD117 + subpopulations relative to BON1, whereas it was similar to that of QGP1. Interestingly, SPNE1 highly expressed somatostatin receptors (SSTR2 and SSTR5) and angiogenic factors (VEGF1). SPNE1 had sensitive response to the four clinical treatments including tyrosine kinase inhibitor (TKI), mTOR inhibitors, somatostatin analogs (SSA), chemotherapy, which was similar to the BON1 and QGP1. Subcutaneous transplantations of SPNE1 also present the tumorigenicity, and neuroendocrine marker expression of xenograft tumors resembled the original human NET tissue. Then, we found a total of 8 common mutation in BON1, QGP1 and SPNE1 included CROCC, FAM135A, GPATCH4, CTBP2, FBXL14, HERC2, HYDIN, and PABPC3 using whole-exome sequencing (WES), and more neuroendocrine-related functional processes were enriched based on the private mutation genes in SPNE1, such as neuron migration, insulin secretion, and neuron to neuron synapse. In brief, SPNE1 could be used as a relevant model to study pancreatic NET biology and to develop novel treatment options.
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Affiliation(s)
- Xin Lou
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Zeng Ye
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Xiaowu Xu
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Minglei Jiang
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Renquan Lu
- Department of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Desheng Jing
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Wuhu Zhang
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Heli Gao
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Fei Wang
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Yue Zhang
- Department of Hepatopancreatobiliary Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Xuemin Chen
- Department of Hepatopancreatobiliary Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Yi Qin
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China.,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China
| | - Qifeng Zhuo
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. .,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. .,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China.
| | - Xianjun Yu
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. .,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. .,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China.
| | - Shunrong Ji
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. .,Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. .,Shanghai Pancreatic Cancer Institute, Shanghai, 200032, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, 200032, China.
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