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Munteanu AI, Jugănaru I, Nicoară DM, Mang N, Vasilescu R, Brad GF, Scutca AC, Asproniu R, Cristun LI, Mărginean O. Evaluating the Role of CBC-Derived Indices in Children with Hashimoto's Thyroiditis. Diagnostics (Basel) 2024; 14:2834. [PMID: 39767195 PMCID: PMC11675751 DOI: 10.3390/diagnostics14242834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 12/10/2024] [Accepted: 12/11/2024] [Indexed: 01/11/2025] Open
Abstract
Background/Objectives: Hashimoto's thyroiditis (HT) is an autoimmune disorder characterized by chronic inflammation of the thyroid gland. Recent evidence indicates that the inflammation may extend beyond the thyroid. The study aims to explore the potential of complete blood count (CBC)-derived indices as markers of systemic inflammation in HT. Materials and Methods: This cross-sectional retrospective study from 1 January 2015, to 31 December 2023 included 147 pediatric HT patients and 144 apparently healthy controls. Thyroid profiles, antibodies, CBC, and protein electrophoresis data were collected from patient records. CBC-derived indices were calculated and compared between the HT and control groups, as well as among HT subgroups. Results: The median age of HT patients was 13.6 years (range: 11.2-15.5 years), with 66% being girls. The control group had a similar age and gender distribution, with a median age of 13.7 years (range: 11-15.8 years) and 70.8% girls. Of the HT patients, 50% had subclinical HT, 15% were euthyroid, and 34% had overt thyroid dysfunction. HT patients showed significantly higher neutrophil and lymphocyte counts, as well as all evaluated CBC-derived indices than controls (p < 0.001)). These differences were not significant among HT subgroups. Logistic regression indicated a strong association between an elevated neutrophil-to-lymphocyte ratio (NLR) and HT diagnosis (p < 0.001), while ROC analysis confirmed NLR as the most accurate CBC-derived marker for distinguishing HT from controls. Conclusions: Elevated NLR levels in pediatric HT patients provide additional evidence that inflammation may extend beyond the thyroid gland. These results support the potential of NLR as a reliable and accessible biomarker for evaluating inflammation in Hashimoto's thyroiditis.
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Affiliation(s)
- Andrei-Ioan Munteanu
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
- Research Center for Disturbances of Growth and Development in Children BELIVE, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Iulius Jugănaru
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
- Research Center for Disturbances of Growth and Development in Children BELIVE, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Delia-Maria Nicoară
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Research Center for Disturbances of Growth and Development in Children BELIVE, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Niculina Mang
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
| | - Raluca Vasilescu
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
| | - Giorgiana-Flavia Brad
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
| | - Alexandra-Cristina Scutca
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
| | - Raluca Asproniu
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
- Ph.D. School Department, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania;
| | - Lucian-Ioan Cristun
- Ph.D. School Department, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania;
| | - Otilia Mărginean
- Department XI Pediatrics, Discipline I Pediatrics, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania; (A.-I.M.); (D.-M.N.); (N.M.); (G.-F.B.); (A.-C.S.); (R.A.); (O.M.)
- Department of Pediatrics I, Children’s Emergency Hospital “Louis Turcanu”, 300011 Timisoara, Romania;
- Research Center for Disturbances of Growth and Development in Children BELIVE, ‘Victor Babeş’ University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
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2
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Su Y, Yu Z, Jin S, Ai Z, Yuan R, Chen X, Xue Z, Guo Y, Chen D, Liang H, Liu Z, Liu W. Comprehensive assessment of mRNA isoform detection methods for long-read sequencing data. Nat Commun 2024; 15:3972. [PMID: 38730241 PMCID: PMC11087464 DOI: 10.1038/s41467-024-48117-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 04/19/2024] [Indexed: 05/12/2024] Open
Abstract
The advancement of Long-Read Sequencing (LRS) techniques has significantly increased the length of sequencing to several kilobases, thereby facilitating the identification of alternative splicing events and isoform expressions. Recently, numerous computational tools for isoform detection using long-read sequencing data have been developed. Nevertheless, there remains a deficiency in comparative studies that systemically evaluate the performance of these tools, which are implemented with different algorithms, under various simulations that encompass potential influencing factors. In this study, we conducted a benchmark analysis of thirteen methods implemented in nine tools capable of identifying isoform structures from long-read RNA-seq data. We evaluated their performances using simulated data, which represented diverse sequencing platforms generated by an in-house simulator, RNA sequins (sequencing spike-ins) data, as well as experimental data. Our findings demonstrate IsoQuant as a highly effective tool for isoform detection with LRS, with Bambu and StringTie2 also exhibiting strong performance. These results offer valuable guidance for future research on alternative splicing analysis and the ongoing improvement of tools for isoform detection using LRS data.
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Affiliation(s)
- Yaqi Su
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, 94720, USA
| | - Zhejian Yu
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Siqian Jin
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Zhipeng Ai
- Division of Human Reproduction and Developmental Genetics, Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Ruihong Yuan
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Xinyi Chen
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Ziwei Xue
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Yixin Guo
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Di Chen
- Center for Reproductive Medicine of the Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
- Centre for Regeneration and Cell Therapy of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Hongqing Liang
- Division of Human Reproduction and Developmental Genetics, Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Zuozhu Liu
- Zhejiang University-Angel Align Inc. R&D Center for Intelligent Healthcare, Zhejiang University-University of Illinois at Urbana-Champaign Institute (ZJU-UIUC Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China
| | - Wanlu Liu
- Department of Orthopedic Surgery of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
- Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), International Campus, Zhejiang University, Haining, 314400, Zhejiang, China.
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314100, China.
- Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
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3
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Holling GA, Chavel CA, Sharda AP, Lieberman MM, James CM, Lightman SM, Tong JH, Qiao G, Emmons TR, Giridharan T, Hou S, Intlekofer AM, Higashi RM, Fan TWM, Lane AN, Eng KH, Segal BH, Repasky EA, Lee KP, Olejniczak SH. CD8+ T cell metabolic flexibility elicited by CD28-ARS2 axis-driven alternative splicing of PKM supports antitumor immunity. Cell Mol Immunol 2024; 21:260-274. [PMID: 38233562 PMCID: PMC10902291 DOI: 10.1038/s41423-024-01124-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 12/26/2023] [Indexed: 01/19/2024] Open
Abstract
Metabolic flexibility has emerged as a critical determinant of CD8+ T-cell antitumor activity, yet the mechanisms driving the metabolic flexibility of T cells have not been determined. In this study, we investigated the influence of the nuclear cap-binding complex (CBC) adaptor protein ARS2 on mature T cells. In doing so, we discovered a novel signaling axis that endows activated CD8+ T cells with flexibility of glucose catabolism. ARS2 upregulation driven by CD28 signaling reinforced splicing factor recruitment to pre-mRNAs and affected approximately one-third of T-cell activation-induced alternative splicing events. Among these effects, the CD28-ARS2 axis suppressed the expression of the M1 isoform of pyruvate kinase in favor of PKM2, a key determinant of CD8+ T-cell glucose utilization, interferon gamma production, and antitumor effector function. Importantly, PKM alternative splicing occurred independently of CD28-driven PI3K pathway activation, revealing a novel means by which costimulation reprograms glucose metabolism in CD8+ T cells.
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Affiliation(s)
- G Aaron Holling
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- University of Colorado Boulder, Boulder, CO, 80309, USA
| | - Colin A Chavel
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Anand P Sharda
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Mackenzie M Lieberman
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Caitlin M James
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Shivana M Lightman
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Jason H Tong
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Guanxi Qiao
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- Dana Farber Cancer Institute, Boston, MA, 02215, USA
| | - Tiffany R Emmons
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- Massachusetts Institute of Technology, Boston, MA, 02139, USA
| | - Thejaswini Giridharan
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Shengqi Hou
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Andrew M Intlekofer
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Richard M Higashi
- Center for Environmental Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, Lexington, KY, 40536, USA
| | - Teresa W M Fan
- Center for Environmental Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, Lexington, KY, 40536, USA
| | - Andrew N Lane
- Center for Environmental Systems Biochemistry, Department of Toxicology and Cancer Biology and Markey Cancer Center, Lexington, KY, 40536, USA
| | - Kevin H Eng
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Brahm H Segal
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Elizabeth A Repasky
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Kelvin P Lee
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Scott H Olejniczak
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA.
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4
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Kuang H, Li Y, Wang Y, Shi M, Duan R, Xiao Q, She H, Liu Y, Liang Q, Teng Y, Zhou M, Liang D, Li Z, Wu L. A homozygous variant in INTS11 links mitosis and neurogenesis defects to a severe neurodevelopmental disorder. Cell Rep 2023; 42:113445. [PMID: 37980560 DOI: 10.1016/j.celrep.2023.113445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/15/2023] [Accepted: 10/31/2023] [Indexed: 11/21/2023] Open
Abstract
The INTS11 endonuclease is crucial in modulating gene expression and has only recently been linked to human neurodevelopmental disorders (NDDs). However, how INTS11 participates in human development and disease remains unclear. Here, we identify a homozygous INTS11 variant in two siblings with a severe NDD. The variant impairs INTS11 catalytic activity, supported by its substrate's accumulation, and causes G2/M arrest in patient cells with length-dependent dysregulation of genes involved in mitosis and neural development, including the NDD gene CDKL5. The mutant knockin (KI) in induced pluripotent stem cells (iPSCs) disturbs their mitotic spindle organization and thus leads to slow proliferation and increased apoptosis, possibly through the decreased neurally functional CDKL5-induced extracellular signal-regulated kinase (ERK) pathway inhibition. The generation of neural progenitor cells (NPCs) from the mutant iPSCs is also delayed, with long transcript loss concerning neurogenesis. Our work reveals a mechanism underlying INTS11 dysfunction-caused human NDD and provides an iPSC model for this disease.
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Affiliation(s)
- Hanzhe Kuang
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Yunlong Li
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Yixuan Wang
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Meizhen Shi
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China; Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ranhui Duan
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Qiao Xiao
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Haoyuan She
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Yingdi Liu
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Qiaowei Liang
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China; Department of Medical Genetics, Hunan Jiahui Genetics Hospital, Changsha 410000, China
| | - Yanling Teng
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Miaojin Zhou
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China
| | - Desheng Liang
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China; Department of Medical Genetics, Hunan Jiahui Genetics Hospital, Changsha 410000, China.
| | - Zhuo Li
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China.
| | - Lingqian Wu
- Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, MOE Key Lab of Rare Pediatric Diseases, School of Life Sciences, Central South University, Changsha 410000, China; Department of Medical Genetics, Hunan Jiahui Genetics Hospital, Changsha 410000, China.
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5
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Full-Length RNA Sequencing Provides Insights into Goldfish Evolution under Artificial Selection. Int J Mol Sci 2023; 24:ijms24032735. [PMID: 36769054 PMCID: PMC9916754 DOI: 10.3390/ijms24032735] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/14/2023] [Accepted: 01/20/2023] [Indexed: 02/04/2023] Open
Abstract
Goldfish Carassius auratus is an ideal model for exploring fish morphology evolution. Although genes underlying several ornamental traits have been identified, little is known about the effects of artificial selection on embryo gene expression. In the present study, hybrid transcriptome sequencing was conducted to reveal gene expression profiles of Celestial-Eye (CE) and Ryukin (RK) goldfish embryos. Full-length transcriptome sequencing on the PacBio platform identified 54,218 and 54,106 transcript isoforms in CE and RK goldfish, respectively. Of particular note was that thousands of alternative splicing (AS) and alternative polyadenylation (APA) events were identified in both goldfish breeds, and most of them were inter-breed specific. RT-PCR and Sanger sequencing showed that most of the predicted AS and APA were correct. Moreover, abundant long non-coding RNA and fusion genes were detected, and again most of them were inter-breed specific. Through RNA-seq, we detected thousands of differentially expressed genes (DEGs) in each embryonic stage between the two goldfish breeds. KEGG enrichment analysis on DEGs showed extensive differences between CE and RK goldfish in gene expression. Taken together, our results demonstrated that artificial selection has led to far-reaching influences on goldfish gene expression, which probably laid the genetic basis for hundreds of goldfish variations.
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6
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Gorin G, Fang M, Chari T, Pachter L. RNA velocity unraveled. PLoS Comput Biol 2022; 18:e1010492. [PMID: 36094956 PMCID: PMC9499228 DOI: 10.1371/journal.pcbi.1010492] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 09/22/2022] [Accepted: 08/14/2022] [Indexed: 11/24/2022] Open
Abstract
We perform a thorough analysis of RNA velocity methods, with a view towards understanding the suitability of the various assumptions underlying popular implementations. In addition to providing a self-contained exposition of the underlying mathematics, we undertake simulations and perform controlled experiments on biological datasets to assess workflow sensitivity to parameter choices and underlying biology. Finally, we argue for a more rigorous approach to RNA velocity, and present a framework for Markovian analysis that points to directions for improvement and mitigation of current problems.
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Affiliation(s)
- Gennady Gorin
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America
| | - Meichen Fang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
| | - Tara Chari
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
| | - Lior Pachter
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America
- Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, California, United States of America
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7
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Freen-van Heeren JJ. Post-transcriptional control of T-cell cytokine production: Implications for cancer therapy. Immunology 2021; 164:57-72. [PMID: 33884612 DOI: 10.1111/imm.13339] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 03/22/2021] [Accepted: 03/30/2021] [Indexed: 01/05/2023] Open
Abstract
As part of the adaptive immune system, T cells are vital for the eradication of infected and malignantly transformed cells. To perform their protective function, T cells produce effector molecules that are either directly cytotoxic, such as granzymes, perforin, interferon-γ and tumour necrosis factor α, or attract and stimulate (immune) cells, such as interleukin-2. As these molecules can also induce immunopathology, tight control of their production is required. Indeed, inflammatory cytokine production is regulated on multiple levels. Firstly, locus accessibility and transcription factor availability and activity determine the amount of mRNA produced. Secondly, post-transcriptional mechanisms, influencing mRNA splicing/codon usage, stability, decay, localization and translation rate subsequently determine the amount of protein that is produced. In the immune suppressive environments of tumours, T cells gradually lose the capacity to produce effector molecules, resulting in tumour immune escape. Recently, the role of post-transcriptional regulation in fine-tuning T-cell effector function has become more appreciated. Furthermore, several groups have shown that exhausted or dysfunctional T cells from cancer patients or murine models possess mRNA for inflammatory mediators, but fail to produce effector molecules, hinting that post-transcriptional events also play a role in hampering tumour-infiltrating lymphocyte effector function. Here, the post-transcriptional regulatory events governing T-cell cytokine production are reviewed, with a specific focus on the importance of post-transcriptional regulation in anti-tumour responses. Furthermore, potential approaches to circumvent tumour-mediated dampening of T-cell effector function through the (dis)engagement of post-transcriptional events are explored, such as CRISPR/Cas9-mediated genome editing or chimeric antigen receptors.
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