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Leconte A, Jacquin J, Duban M, Deweer C, Trapet P, Laruelle F, Farce A, Compère P, Sahmer K, Fiévet V, Hoste A, Siah A, Lounès-Hadj Sahraoui A, Jacques P, Coutte F, Deleu M, Muchembled J. Deciphering the mechanisms involved in reduced sensitivity to azoles and fengycin lipopeptide in Venturia inaequalis. Microbiol Res 2024; 286:127816. [PMID: 38964072 DOI: 10.1016/j.micres.2024.127816] [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: 04/23/2024] [Revised: 06/06/2024] [Accepted: 06/20/2024] [Indexed: 07/06/2024]
Abstract
Apple scab, caused by the hemibiotrophic fungus Venturia inaequalis, is currently the most common and damaging disease in apple orchards. Two strains of V. inaequalis (S755 and Rs552) with different sensitivities to azole fungicides and the bacterial metabolite fengycin were compared to determine the mechanisms responsible for these differences. Antifungal activity tests showed that Rs552 had reduced sensitivity to tebuconazole and tetraconazole, as well as to fengycin alone or in a binary mixture with other lipopeptides (iturin A, pumilacidin, lichenysin). S755 was highly sensitive to fengycin, whose activity was close to that of tebuconazole. Unlike fengycin, lipopeptides from the iturin family (mycosubtilin, iturin A) had similar activity on both strains, while those from the surfactin family (lichenysin, pumilacidin) were not active, except in binary mixtures with fengycin. The activity of lipopeptides varies according to their family and structure. Analyses to determine the difference in sensitivity to azoles (which target the CYP51 enzyme involved in the ergosterol biosynthesis pathway) showed that the reduced sensitivity in Rs552 is linked to (i) a constitutive increased expression of the Cyp51A gene caused by insertions in the upstream region and (ii) greater efflux by membrane pumps with the involvement of ABC transporters. Microscopic observations revealed that fengycin, known to interact with plasma membranes, induced morphological and cytological changes in cells from both strains. Sterol and phospholipid analyses showed a higher level of ergosta-7,22-dien-3-ol and a lower level of PI(C16:0/C18:1) in Rs552 compared with S755. These differences could therefore influence the composition of the plasma membrane and explain the differential sensitivity of the strains to fengycin. However, the similar antifungal activities of mycosubtilin and iturin A in the two strains indirectly indicate that sterols are probably not involved in the fengycin resistance mechanism. This leads to the conclusion that different mechanisms are responsible for the difference in susceptibility to azoles or fengycin in the strains studied.
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Affiliation(s)
- Aline Leconte
- JUNIA, UMRt BioEcoAgro 1158-INRAE, Plant Secondary Metabolites Team, Charles Viollette Institute, Lille F-59000, France; University of Lille, UMRt BioEcoAgro 1158-INRAE, Microbial Secondary Metabolites team, Charles Viollette Institute, Lille F-59000, France; University of Liège, UMRt BioEcoAgro 1158-INRAE, Microbial Secondary Metabolites team, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, Gembloux B-5030, Belgium
| | - Justine Jacquin
- JUNIA, UMRt BioEcoAgro 1158-INRAE, Plant Secondary Metabolites Team, Charles Viollette Institute, Lille F-59000, France
| | - Matthieu Duban
- University of Lille, UMRt BioEcoAgro 1158-INRAE, Microbial Secondary Metabolites team, Charles Viollette Institute, Lille F-59000, France
| | - Caroline Deweer
- JUNIA, UMRt BioEcoAgro 1158-INRAE, Plant Secondary Metabolites Team, Charles Viollette Institute, Lille F-59000, France
| | - Pauline Trapet
- JUNIA, UMRt BioEcoAgro 1158-INRAE, Plant Secondary Metabolites Team, Charles Viollette Institute, Lille F-59000, France
| | - Frédéric Laruelle
- Unité de Chimie Environnementale et Interactions sur le Vivant (EA 4492), Université Littoral Côte d'Opale, CEDEX CS 80699, Calais 62228, France
| | - Amaury Farce
- Université Lille, Inserm, CHU Lille, U1286 - INFINITE - Institut de recherche translationnelle sur l'inflammation, Lille F-59000, France
| | - Philippe Compère
- Laboratoire de morphologie fonctionnelle et évolutive, UR FOCUS, and Centre de recherche appliquée et d'enseignement en microscopie (CAREM), Université de Liège, Liège, Belgium
| | - Karin Sahmer
- Université Lille, IMT Lille Douai, Univ. Artois, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et geo-Environnement, Lille F-59000, France
| | - Valentin Fiévet
- JUNIA, UMRt BioEcoAgro 1158-INRAE, Plant Secondary Metabolites Team, Charles Viollette Institute, Lille F-59000, France
| | - Alexis Hoste
- University of Liège, UMRt BioEcoAgro 1158-INRAE, Microbial Secondary Metabolites team, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, Gembloux B-5030, Belgium
| | - Ali Siah
- JUNIA, UMRt BioEcoAgro 1158-INRAE, Plant Secondary Metabolites Team, Charles Viollette Institute, Lille F-59000, France
| | - Anissa Lounès-Hadj Sahraoui
- Unité de Chimie Environnementale et Interactions sur le Vivant (EA 4492), Université Littoral Côte d'Opale, CEDEX CS 80699, Calais 62228, France
| | - Philippe Jacques
- University of Liège, UMRt BioEcoAgro 1158-INRAE, Microbial Secondary Metabolites team, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, Gembloux B-5030, Belgium
| | - François Coutte
- University of Lille, UMRt BioEcoAgro 1158-INRAE, Microbial Secondary Metabolites team, Charles Viollette Institute, Lille F-59000, France
| | - Magali Deleu
- University of Liège, UMRt BioEcoAgro 1158-INRAE, Microbial Secondary Metabolites team, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, Gembloux B-5030, Belgium
| | - Jérôme Muchembled
- JUNIA, UMRt BioEcoAgro 1158-INRAE, Plant Secondary Metabolites Team, Charles Viollette Institute, Lille F-59000, France.
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Wu Q, Li Y, Wang Q, Zhao X, Sun D, Liu B. Identification of DNA motif pairs on paired sequences based on composite heterogeneous graph. Front Genet 2024; 15:1424085. [PMID: 38952710 PMCID: PMC11215013 DOI: 10.3389/fgene.2024.1424085] [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: 04/27/2024] [Accepted: 05/22/2024] [Indexed: 07/03/2024] Open
Abstract
Motivation The interaction between DNA motifs (DNA motif pairs) influences gene expression through partnership or competition in the process of gene regulation. Potential chromatin interactions between different DNA motifs have been implicated in various diseases. However, current methods for identifying DNA motif pairs rely on the recognition of single DNA motifs or probabilities, which may result in local optimal solutions and can be sensitive to the choice of initial values. A method for precisely identifying DNA motif pairs is still lacking. Results Here, we propose a novel computational method for predicting DNA Motif Pairs based on Composite Heterogeneous Graph (MPCHG). This approach leverages a composite heterogeneous graph model to identify DNA motif pairs on paired sequences. Compared with the existing methods, MPCHG has greatly improved the accuracy of motifs prediction. Furthermore, the predicted DNA motifs demonstrate heightened DNase accessibility than the background sequences. Notably, the two DNA motifs forming a pair exhibit functional consistency. Importantly, the interacting TF pairs obtained by predicted DNA motif pairs were significantly enriched with known interacting TF pairs, suggesting their potential contribution to chromatin interactions. Collectively, we believe that these identified DNA motif pairs held substantial implications for revealing gene transcriptional regulation under long-range chromatin interactions.
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Affiliation(s)
- Qiuqin Wu
- School of Mathematics, Shandong University, Jinan, China
| | - Yang Li
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Qi Wang
- School of Mathematics, Shandong University, Jinan, China
| | - Xiaoyu Zhao
- School of Mathematics, Shandong University, Jinan, China
| | - Duanchen Sun
- School of Mathematics, Shandong University, Jinan, China
| | - Bingqiang Liu
- School of Mathematics, Shandong University, Jinan, China
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3
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Yang J, Wang DF, Huang JH, Zhu QH, Luo LY, Lu R, Xie XL, Salehian-Dehkordi H, Esmailizadeh A, Liu GE, Li MH. Structural variant landscapes reveal convergent signatures of evolution in sheep and goats. Genome Biol 2024; 25:148. [PMID: 38845023 PMCID: PMC11155191 DOI: 10.1186/s13059-024-03288-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/21/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND Sheep and goats have undergone domestication and improvement to produce similar phenotypes, which have been greatly impacted by structural variants (SVs). Here, we report a high-quality chromosome-level reference genome of Asiatic mouflon, and implement a comprehensive analysis of SVs in 897 genomes of worldwide wild and domestic populations of sheep and goats to reveal genetic signatures underlying convergent evolution. RESULTS We characterize the SV landscapes in terms of genetic diversity, chromosomal distribution and their links with genes, QTLs and transposable elements, and examine their impacts on regulatory elements. We identify several novel SVs and annotate corresponding genes (e.g., BMPR1B, BMPR2, RALYL, COL21A1, and LRP1B) associated with important production traits such as fertility, meat and milk production, and wool/hair fineness. We detect signatures of selection involving the parallel evolution of orthologous SV-associated genes during domestication, local environmental adaptation, and improvement. In particular, we find that fecundity traits experienced convergent selection targeting the gene BMPR1B, with the DEL00067921 deletion explaining ~10.4% of the phenotypic variation observed in goats. CONCLUSIONS Our results provide new insights into the convergent evolution of SVs and serve as a rich resource for the future improvement of sheep, goats, and related livestock.
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Affiliation(s)
- Ji Yang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Jia-Hui Huang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Qiang-Hui Zhu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ling-Yun Luo
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ran Lu
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xing-Long Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, Iran
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD, 20705, USA
| | - Meng-Hua Li
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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Wang S, Wang W. Interpretable prediction of mRNA abundance from promoter sequence using contextual regression models. NAR Genom Bioinform 2024; 6:lqae055. [PMID: 38807713 PMCID: PMC11131020 DOI: 10.1093/nargab/lqae055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 04/08/2024] [Accepted: 05/12/2024] [Indexed: 05/30/2024] Open
Abstract
While machine learning models have been successfully applied to predicting gene expression from promoter sequences, it remains a great challenge to derive intuitive interpretation of the model and reveal DNA motif grammar such as motif cooperation and distance constraint between motif sites. Previous interpretation approaches are often time-consuming or have difficulty to learn the combinatory rules. In this work, we designed interpretable neural network models to predict the mRNA expression levels from DNA sequences. By applying the Contextual Regression framework we developed, we extracted weighted features to cluster samples into different groups, which have different gene expression levels. We performed motif analysis in each cluster and found motifs with active or repressive regulation on gene expression. By comparing the co-occurrence locations of discovered motifs, we also uncovered multiple grammars of motif combination including communities of cooperative motifs and distance constraints between motif pairs. These results revealed new insights of the regulatory architecture of promoter sequences.
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Affiliation(s)
- Song Wang
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359, USA
| | - Wei Wang
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093-0359, USA
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093-0359, USA
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Szabó D, Franke V, Bianco S, Batiuk MY, Paul EJ, Kukalev A, Pfisterer UG, Irastorza-Azcarate I, Chiariello AM, Demharter S, Zea-Redondo L, Lopez-Atalaya JP, Nicodemi M, Akalin A, Khodosevich K, Ungless MA, Winick-Ng W, Pombo A. A single dose of cocaine rewires the 3D genome structure of midbrain dopamine neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.10.593308. [PMID: 38766140 PMCID: PMC11100777 DOI: 10.1101/2024.05.10.593308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Midbrain dopamine neurons (DNs) respond to a first exposure to addictive drugs and play key roles in chronic drug usage1-3. As the synaptic and transcriptional changes that follow an acute cocaine exposure are mostly resolved within a few days4,5, the molecular changes that encode the long-term cellular memory of the exposure within DNs remain unknown. To investigate whether a single cocaine exposure induces long-term changes in the 3D genome structure of DNs, we applied Genome Architecture Mapping and single nucleus transcriptomic analyses in the mouse midbrain. We found extensive rewiring of 3D genome architecture at 24 hours past exposure which remains or worsens by 14 days, outlasting transcriptional responses. The cocaine-induced chromatin rewiring occurs at all genomic scales and affects genes with major roles in cocaine-induced synaptic changes. A single cocaine exposure triggers extensive long-lasting changes in chromatin condensation in post-synaptic and post-transcriptional regulatory genes, for example the unfolding of Rbfox1 which becomes most prominent 14 days post exposure. Finally, structurally remodeled genes are most expressed in a specific DN sub-type characterized by low expression of the dopamine auto-receptor Drd2, a key feature of highly cocaine-sensitive cells. These results reveal an important role for long-lasting 3D genome remodelling in the cellular memory of a single cocaine exposure, providing new hypotheses for understanding the inception of drug addiction and 3D genome plasticity.
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Affiliation(s)
- Dominik Szabó
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 10115 Berlin, Germany
- Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Vedran Franke
- Bioinformatics & Omics Data Science platform, Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, 10115 Berlin, Germany
| | - Simona Bianco
- Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo, 80126 Naples, Italy
| | - Mykhailo Y. Batiuk
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark
| | - Eleanor J. Paul
- MRC London Institute of Medical Sciences (LMS), London W12 0HS, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Alexander Kukalev
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 10115 Berlin, Germany
| | - Ulrich G. Pfisterer
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark
| | - Ibai Irastorza-Azcarate
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 10115 Berlin, Germany
| | - Andrea M. Chiariello
- Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo, 80126 Naples, Italy
| | - Samuel Demharter
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark
| | - Luna Zea-Redondo
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 10115 Berlin, Germany
- Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Jose P. Lopez-Atalaya
- Instituto de Neurociencias, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), 03550, Sant Joan d’Alacant, Spain
| | - Mario Nicodemi
- Dipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo, 80126 Naples, Italy
- Berlin Institute of Health, 10178 Berlin, Germany
| | - Altuna Akalin
- Bioinformatics & Omics Data Science platform, Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, 10115 Berlin, Germany
| | - Konstantin Khodosevich
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark
| | - Mark A. Ungless
- MRC London Institute of Medical Sciences (LMS), London W12 0HS, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Warren Winick-Ng
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 10115 Berlin, Germany
- Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Toronto, Canada
| | - Ana Pombo
- Max-Delbrück Centre for Molecular Medicine, Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group, 10115 Berlin, Germany
- Humboldt-Universität zu Berlin, 10117 Berlin, Germany
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Wu X, Hou W, Zhao Z, Huang L, Sheng N, Yang Q, Zhang S, Wang Y. MMGAT: a graph attention network framework for ATAC-seq motifs finding. BMC Bioinformatics 2024; 25:158. [PMID: 38643066 PMCID: PMC11031952 DOI: 10.1186/s12859-024-05774-x] [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: 01/22/2024] [Accepted: 04/10/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Motif finding in Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) data is essential to reveal the intricacies of transcription factor binding sites (TFBSs) and their pivotal roles in gene regulation. Deep learning technologies including convolutional neural networks (CNNs) and graph neural networks (GNNs), have achieved success in finding ATAC-seq motifs. However, CNN-based methods are limited by the fixed width of the convolutional kernel, which makes it difficult to find multiple transcription factor binding sites with different lengths. GNN-based methods has the limitation of using the edge weight information directly, makes it difficult to aggregate the neighboring nodes' information more efficiently when representing node embedding. RESULTS To address this challenge, we developed a novel graph attention network framework named MMGAT, which employs an attention mechanism to adjust the attention coefficients among different nodes. And then MMGAT finds multiple ATAC-seq motifs based on the attention coefficients of sequence nodes and k-mer nodes as well as the coexisting probability of k-mers. Our approach achieved better performance on the human ATAC-seq datasets compared to existing tools, as evidenced the highest scores on the precision, recall, F1_score, ACC, AUC, and PRC metrics, as well as finding 389 higher quality motifs. To validate the performance of MMGAT in predicting TFBSs and finding motifs on more datasets, we enlarged the number of the human ATAC-seq datasets to 180 and newly integrated 80 mouse ATAC-seq datasets for multi-species experimental validation. Specifically on the mouse ATAC-seq dataset, MMGAT also achieved the highest scores on six metrics and found 356 higher-quality motifs. To facilitate researchers in utilizing MMGAT, we have also developed a user-friendly web server named MMGAT-S that hosts the MMGAT method and ATAC-seq motif finding results. CONCLUSIONS The advanced methodology MMGAT provides a robust tool for finding ATAC-seq motifs, and the comprehensive server MMGAT-S makes a significant contribution to genomics research. The open-source code of MMGAT can be found at https://github.com/xiaotianr/MMGAT , and MMGAT-S is freely available at https://www.mmgraphws.com/MMGAT-S/ .
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Affiliation(s)
- Xiaotian Wu
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China
- School of Artificial Intelligence, Jilin University, Changchun, 130012, China
| | - Wenju Hou
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Ziqi Zhao
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Lan Huang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Nan Sheng
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Qixing Yang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China
| | - Shuangquan Zhang
- School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
| | - Yan Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China.
- School of Artificial Intelligence, Jilin University, Changchun, 130012, China.
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7
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Yang M, Zhang S, Zheng Z, Zhang P, Liang Y, Tang S. Employing bimodal representations to predict DNA bendability within a self-supervised pre-trained framework. Nucleic Acids Res 2024; 52:e33. [PMID: 38375921 PMCID: PMC11014357 DOI: 10.1093/nar/gkae099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/10/2024] [Accepted: 02/01/2024] [Indexed: 02/21/2024] Open
Abstract
The bendability of genomic DNA, which measures the DNA looping rate, is crucial for numerous biological processes of DNA. Recently, an advanced high-throughput technique known as 'loop-seq' has made it possible to measure the inherent cyclizability of DNA fragments. However, quantifying the bendability of large-scale DNA is costly, laborious, and time-consuming. To close the gap between rapidly evolving large language models and expanding genomic sequence information, and to elucidate the DNA bendability's impact on critical regulatory sequence motifs such as super-enhancers in the human genome, we introduce an innovative computational model, named MIXBend, to forecast the DNA bendability utilizing both nucleotide sequences and physicochemical properties. In MIXBend, a pre-trained language model DNABERT and convolutional neural network with attention mechanism are utilized to construct both sequence- and physicochemical-based extractors for the sophisticated refinement of DNA sequence representations. These bimodal DNA representations are then fed to a k-mer sequence-physicochemistry matching module to minimize the semantic gap between each modality. Lastly, a self-attention fusion layer is employed for the prediction of DNA bendability. In conclusion, the experimental results validate MIXBend's superior performance relative to other state-of-the-art methods. Additionally, MIXBend reveals both novel and known motifs from the yeast. Moreover, MIXBend discovers significant bendability fluctuations within super-enhancer regions and transcription factors binding sites in the human genome.
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Affiliation(s)
- Minghao Yang
- Bioscience and Biomedical Engineering Thrust, System Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511466, China
| | - Shichen Zhang
- Bioscience and Biomedical Engineering Thrust, System Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511466, China
| | - Zhihang Zheng
- Bioscience and Biomedical Engineering Thrust, System Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511466, China
| | - Pengfei Zhang
- Bioscience and Biomedical Engineering Thrust, System Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511466, China
| | - Yan Liang
- School of Artificial Intelligence, South China Normal University, Foshan 528225, China
| | - Shaojun Tang
- Bioscience and Biomedical Engineering Thrust, System Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511466, China
- Division of Life Science, Hong Kong University of Science and Technology, Hong Kong SAR 999077, China
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8
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Camellato BR, Brosh R, Ashe HJ, Maurano MT, Boeke JD. Synthetic reversed sequences reveal default genomic states. Nature 2024; 628:373-380. [PMID: 38448583 PMCID: PMC11006607 DOI: 10.1038/s41586-024-07128-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 01/29/2024] [Indexed: 03/08/2024]
Abstract
Pervasive transcriptional activity is observed across diverse species. The genomes of extant organisms have undergone billions of years of evolution, making it unclear whether these genomic activities represent effects of selection or 'noise'1-4. Characterizing default genome states could help understand whether pervasive transcriptional activity has biological meaning. Here we addressed this question by introducing a synthetic 101-kb locus into the genomes of Saccharomyces cerevisiae and Mus musculus and characterizing genomic activity. The locus was designed by reversing but not complementing human HPRT1, including its flanking regions, thus retaining basic features of the natural sequence but ablating evolved coding or regulatory information. We observed widespread activity of both reversed and native HPRT1 loci in yeast, despite the lack of evolved yeast promoters. By contrast, the reversed locus displayed no activity at all in mouse embryonic stem cells, and instead exhibited repressive chromatin signatures. The repressive signature was alleviated in a locus variant lacking CpG dinucleotides; nevertheless, this variant was also transcriptionally inactive. These results show that synthetic genomic sequences that lack coding information are active in yeast, but inactive in mouse embryonic stem cells, consistent with a major difference in 'default genomic states' between these two divergent eukaryotic cell types, with implications for understanding pervasive transcription, horizontal transfer of genetic information and the birth of new genes.
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Affiliation(s)
| | - Ran Brosh
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA
| | - Hannah J Ashe
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA
| | - Matthew T Maurano
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA
- Department of Pathology, NYU Langone Health, New York, NY, USA
| | - Jef D Boeke
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA.
- Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA.
- Department of Biomedical Engineering, NYU Tandon School of Engineering, New York, NY, USA.
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Tabatabaeipour SN, Shiran B, Ravash R, Niazi A, Ebrahimie E. Comprehensive transcriptomic meta-analysis unveils new responsive genes to methyl jasmonate and ethylene in Catharanthusroseus. Heliyon 2024; 10:e27132. [PMID: 38449649 PMCID: PMC10915408 DOI: 10.1016/j.heliyon.2024.e27132] [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: 02/17/2024] [Accepted: 02/23/2024] [Indexed: 03/08/2024] Open
Abstract
In Catharanthus roseus, vital plant hormones, namely methyl jasmonate (MeJA) and ethylene, serve as abiotic triggers, playing a crucial role in stimulating the production of specific secondary compounds with anticancer properties. Understanding how plants react to various stresses, stimuli, and the pathways involved in biosynthesis holds significant promise. The application of stressors like ethylene and MeJA induces the plant's defense mechanisms, leading to increased secondary metabolite production. To delve into the essential transcriptomic processes linked to hormonal responses, this study employed an integrated approach combining RNA-Seq data meta-analysis and system biology methodologies. Furthermore, the validity of the meta-analysis findings was confirmed using RT-qPCR. Within the meta-analysis, 903 genes exhibited differential expression (DEGs) when comparing normal conditions to those of the treatment. Subsequent analysis, encompassing gene ontology, KEGG, TF, and motifs, revealed that these DEGs were actively engaged in multiple biological processes, particularly in responding to various stresses and stimuli. Additionally, these genes were notably enriched in diverse biosynthetic pathways, including those related to TIAs, housing valuable medicinal compounds found in this plant. Furthermore, by conducting co-expression network analysis, we identified hub genes within modules associated with stress response and the production of TIAs. Most genes linked to the biosynthesis pathway of TIAs clustered within three specific modules. Noteworthy hub genes, including Helicase ATP-binding domain, hbdA, and ALP1 genes within the blue, turquoise, and green module networks, are presumed to play a role in the TIAs pathway. These identified candidate genes hold potential for forthcoming genetic and metabolic engineering initiatives aimed at augmenting the production of secondary metabolites and medicinal compounds within C. roseus.
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Affiliation(s)
- Seyede Nasim Tabatabaeipour
- Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
| | - Behrouz Shiran
- Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
- Institute of Biotechnology, Shahrekord University, P.O. Box 115, Shahrekord, Iran
| | - Rudabeh Ravash
- Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
| | - Ali Niazi
- Department of Biotechnology, Faculty of Agriculture, Shiraz University, Shiraz, Iran
| | - Esmaeil Ebrahimie
- Department of Biotechnology, Faculty of Agriculture, Shiraz University, Shiraz, Iran
- School of Animal and Veterinary Sciences, The University of Adelaide, Adelaide, SA 5371, Australia
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10
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Baruah IK, Shao J, Ali SS, Schmidt ME, Meinhardt LW, Bailey BA, Cohen SP. Cacao pod transcriptome profiling of seven genotypes identifies features associated with post-penetration resistance to Phytophthora palmivora. Sci Rep 2024; 14:4175. [PMID: 38378988 PMCID: PMC10879190 DOI: 10.1038/s41598-024-54355-8] [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: 05/18/2023] [Accepted: 02/12/2024] [Indexed: 02/22/2024] Open
Abstract
The oomycete Phytophthora palmivora infects the fruit of cacao trees (Theobroma cacao) causing black pod rot and reducing yields. Cacao genotypes vary in their resistance levels to P. palmivora, yet our understanding of how cacao fruit respond to the pathogen at the molecular level during disease establishment is limited. To address this issue, disease development and RNA-Seq studies were conducted on pods of seven cacao genotypes (ICS1, WFT, Gu133, Spa9, CCN51, Sca6 and Pound7) to better understand their reactions to the post-penetration stage of P. palmivora infection. The pod tissue-P. palmivora pathogen assay resulted in the genotypes being classified as susceptible (ICS1, WFT, Gu133 and Spa9) or resistant (CCN51, Sca6 and Pound7). The number of differentially expressed genes (DEGs) ranged from 1625 to 6957 depending on genotype. A custom gene correlation approach identified 34 correlation groups. De novo motif analysis was conducted on upstream promoter sequences of differentially expressed genes, identifying 76 novel motifs, 31 of which were over-represented in the upstream sequences of correlation groups and associated with gene ontology terms related to oxidative stress response, defense against fungal pathogens, general metabolism and cell function. Genes in one correlation group (Group 6) were strongly induced in all genotypes and enriched in genes annotated with defense-responsive terms. Expression pattern profiling revealed that genes in Group 6 were induced to higher levels in the resistant genotypes. An additional analysis allowed the identification of 17 candidate cis-regulatory modules likely to be involved in cacao defense against P. palmivora. This study is a comprehensive exploration of the cacao pod transcriptional response to P. palmivora spread after infection. We identified cacao genes, promoter motifs, and promoter motif combinations associated with post-penetration resistance to P. palmivora in cacao pods and provide this information as a resource to support future and ongoing efforts to breed P. palmivora-resistant cacao.
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Affiliation(s)
- Indrani K Baruah
- Sustainable Perennial Crops Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD, 20705, USA
| | - Jonathan Shao
- Statistics and Bioinformatics Group-Northeast Area, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD, 20705, USA
| | - Shahin S Ali
- Sustainable Perennial Crops Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD, 20705, USA
- ATCC (American Type Culture Collection), Gaithersburg, MD, 20877, USA
| | - Martha E Schmidt
- Sustainable Perennial Crops Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD, 20705, USA
| | - Lyndel W Meinhardt
- Sustainable Perennial Crops Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD, 20705, USA
| | - Bryan A Bailey
- Sustainable Perennial Crops Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD, 20705, USA
| | - Stephen P Cohen
- Sustainable Perennial Crops Laboratory, U.S. Department of Agriculture-Agricultural Research Service, Beltsville, MD, 20705, USA.
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Davoudnia B, Dadkhodaie A, Moghadam A, Heidari B, Yassaie M. Transcriptome analysis in Aegilops tauschii unravels further insights into genetic control of stripe rust resistance. PLANTA 2024; 259:70. [PMID: 38345645 DOI: 10.1007/s00425-024-04347-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/14/2024] [Indexed: 02/15/2024]
Abstract
MAIN CONCLUSION The Aegilops tauschii resistant accession prevented the pathogen colonization by controlling the sugar flow and triggering the hypersensitive reaction. This study suggested that NBS-LRRs probably induce resistance through bHLH by controlling JA- and SA-dependent pathways. Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst) is one of wheat's most destructive fungal diseases that causes a severe yield reduction worldwide. The most effective and economically-friendly strategy to manage this disease is genetic resistance which can be achieved through deploying new and effective resistance genes. Aegilops tauschii, due to its small genome and co-evolution with Pst, can provide detailed information about underlying resistance mechanisms. Hence, we used RNA-sequencing approach to identify the transcriptome variations of two contrasting resistant and susceptible Ae. tauschii accessions in interaction with Pst and differentially expressed genes (DEGs) for resistance to stripe rust. Gene ontology, pathway analysis, and search for functional domains, transcription regulators, resistance genes, and protein-protein interactions were used to interpret the results. The genes encoding NBS-LRR, CC-NBS-kinase, and phenylalanine ammonia-lyase, basic helix-loop-helix (bHLH)-, basic-leucine zipper (bZIP)-, APETALA2 (AP2)-, auxin response factor (ARF)-, GATA-, and LSD-like transcription factors were up-regulated exclusively in the resistant accession. The key genes involved in response to salicylic acid, amino sugar and nucleotide sugar metabolism, and hypersensitive response contributed to plant defense against stripe rust. The activation of jasmonic acid biosynthesis and starch and sucrose metabolism pathways under Pst infection in the susceptible accession explained the colonization of the host. Overall, this study can fill the gaps in the literature on host-pathogen interaction and enrich the Ae. tauschii transcriptome sequence information. It also suggests candidate genes that could guide future breeding programs attempting to develop rust-resistant cultivars.
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Affiliation(s)
- Behnam Davoudnia
- Department of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, 71441-65186, Iran
| | - Ali Dadkhodaie
- Department of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, 71441-65186, Iran.
| | - Ali Moghadam
- Institute of Biotechnology, School of Agriculture, Shiraz University, Shiraz, Iran
| | - Bahram Heidari
- Department of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, 71441-65186, Iran
| | - Mohsen Yassaie
- Seed and Plant Improvement Research Department, Fars Agricultural and Natural Resources Research and Education Center, AREEO, Shiraz, Iran
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12
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Kordshouli SO, Tahmasebi A, Moghadam A, Ramezani A, Niazi A. A comprehensive meta-analysis of transcriptome data to identify signature genes associated with pancreatic ductal adenocarcinoma. PLoS One 2024; 19:e0289561. [PMID: 38324544 PMCID: PMC10849254 DOI: 10.1371/journal.pone.0289561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 07/20/2023] [Indexed: 02/09/2024] Open
Abstract
PURPOSE Pancreatic ductal adenocarcinoma (PDAC) has a five-year survival rate of less than 5%. Absence of symptoms at primary tumor stages, as well as high aggressiveness of the tumor can lead to high mortality in cancer patients. Most patients are recognized at the advanced or metastatic stage without surgical symptom, because of the lack of reliable early diagnostic biomarkers. The objective of this work was to identify potential cancer biomarkers by integrating transcriptome data. METHODS Several transcriptomic datasets comprising of 11 microarrays were retrieved from the GEO database. After pre-processing, a meta-analysis was applied to identify differentially expressed genes (DEGs) between tumor and nontumor samples for datasets. Next, co-expression analysis, functional enrichment and survival analyses were used to determine the functional properties of DEGs and identify potential prognostic biomarkers. In addition, some regulatory factors involved in PDAC including transcription factors (TFs), protein kinases (PKs), and miRNAs were identified. RESULTS After applying meta-analysis, 1074 DEGs including 539 down- and 535 up-regulated genes were identified. Pathway enrichment analyzes using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed that DEGs were significantly enriched in the HIF-1 signaling pathway and focal adhesion. The results also showed that some of the DEGs were assigned to TFs that belonged to 23 conserved families. Sixty-four PKs were identified among the DEGs that showed the CAMK family was the most abundant group. Moreover, investigation of corresponding upstream regions of DEGs identified 11 conserved sequence motifs. Furthermore, weighted gene co-expression network analysis (WGCNA) identified 8 modules, more of them were significantly enriched in Ras signaling, p53 signaling, MAPK signaling pathways. In addition, several hubs in modules were identified, including EMP1, EVL, ELP5, DEF8, MTERF4, GLUP1, CAPN1, IGF1R, HSD17B14, TOM1L2 and RAB11FIP3. According to survival analysis, it was identified that the expression levels of two genes, EMP1 and RAB11FIP3 are related to prognosis. CONCLUSION We identified several genes critical for PDAC based on meta-analysis and system biology approach. These genes may serve as potential targets for the treatment and prognosis of PDAC.
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Affiliation(s)
| | | | - Ali Moghadam
- Institute of Biotechnology, Shiraz University, Shiraz, Iran
| | - Amin Ramezani
- Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Niazi
- Institute of Biotechnology, Shiraz University, Shiraz, Iran
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13
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Viner C, Ishak CA, Johnson J, Walker NJ, Shi H, Sjöberg-Herrera MK, Shen SY, Lardo SM, Adams DJ, Ferguson-Smith AC, De Carvalho DD, Hainer SJ, Bailey TL, Hoffman MM. Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet. Genome Biol 2024; 25:11. [PMID: 38191487 PMCID: PMC10773111 DOI: 10.1186/s13059-023-03070-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/21/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND Transcription factors bind DNA in specific sequence contexts. In addition to distinguishing one nucleobase from another, some transcription factors can distinguish between unmodified and modified bases. Current models of transcription factor binding tend not to take DNA modifications into account, while the recent few that do often have limitations. This makes a comprehensive and accurate profiling of transcription factor affinities difficult. RESULTS Here, we develop methods to identify transcription factor binding sites in modified DNA. Our models expand the standard A/C/G/T DNA alphabet to include cytosine modifications. We develop Cytomod to create modified genomic sequences and we also enhance the MEME Suite, adding the capacity to handle custom alphabets. We adapt the well-established position weight matrix (PWM) model of transcription factor binding affinity to this expanded DNA alphabet. Using these methods, we identify modification-sensitive transcription factor binding motifs. We confirm established binding preferences, such as the preference of ZFP57 and C/EBPβ for methylated motifs and the preference of c-Myc for unmethylated E-box motifs. CONCLUSIONS Using known binding preferences to tune model parameters, we discover novel modified motifs for a wide array of transcription factors. Finally, we validate our binding preference predictions for OCT4 using cleavage under targets and release using nuclease (CUT&RUN) experiments across conventional, methylation-, and hydroxymethylation-enriched sequences. Our approach readily extends to other DNA modifications. As more genome-wide single-base resolution modification data becomes available, we expect that our method will yield insights into altered transcription factor binding affinities across many different modifications.
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Affiliation(s)
- Coby Viner
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Charles A Ishak
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James Johnson
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Nicolas J Walker
- Department of Genetics, University of Cambridge, Cambridge, England
| | - Hui Shi
- Department of Genetics, University of Cambridge, Cambridge, England
| | - Marcela K Sjöberg-Herrera
- Wellcome Sanger Institute, Cambridge, England
- Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Shu Yi Shen
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Santana M Lardo
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | - Daniel D De Carvalho
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sarah J Hainer
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Timothy L Bailey
- Department of Pharmacology, University of Nevada, Reno, Reno, NV, USA
| | - Michael M Hoffman
- Department of Computer Science, University of Toronto, Toronto, ON, Canada.
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada.
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14
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Searcy MB, Larsen RK, Stevens BT, Zhang Y, Jin H, Drummond CJ, Langdon CG, Gadek KE, Vuong K, Reed KB, Garcia MR, Xu B, Kimbrough DW, Adkins GE, Djekidel N, Porter SN, Schreiner PA, Pruett-Miller SM, Abraham BJ, Rehg JE, Hatley ME. PAX3-FOXO1 dictates myogenic reprogramming and rhabdomyosarcoma identity in endothelial progenitors. Nat Commun 2023; 14:7291. [PMID: 37968277 PMCID: PMC10651858 DOI: 10.1038/s41467-023-43044-1] [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: 12/12/2022] [Accepted: 10/27/2023] [Indexed: 11/17/2023] Open
Abstract
Fusion-positive rhabdomyosarcoma (FP-RMS) driven by the expression of the PAX3-FOXO1 (P3F) fusion oncoprotein is an aggressive subtype of pediatric rhabdomyosarcoma. FP-RMS histologically resembles developing muscle yet occurs throughout the body in areas devoid of skeletal muscle highlighting that FP-RMS is not derived from an exclusively myogenic cell of origin. Here we demonstrate that P3F reprograms mouse and human endothelial progenitors to FP-RMS. We show that P3F expression in aP2-Cre expressing cells reprograms endothelial progenitors to functional myogenic stem cells capable of regenerating injured muscle fibers. Further, we describe a FP-RMS mouse model driven by P3F expression and Cdkn2a loss in endothelial cells. Additionally, we show that P3F expression in TP53-null human iPSCs blocks endothelial-directed differentiation and guides cells to become myogenic cells that form FP-RMS tumors in immunocompromised mice. Together these findings demonstrate that FP-RMS can originate from aberrant development of non-myogenic cells driven by P3F.
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Affiliation(s)
- Madeline B Searcy
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- St. Jude Graduate School of Biomedical Sciences, Memphis, TN, 38105, USA
| | - Randolph K Larsen
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- St. Jude Graduate School of Biomedical Sciences, Memphis, TN, 38105, USA
| | - Bradley T Stevens
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- St. Jude Graduate School of Biomedical Sciences, Memphis, TN, 38105, USA
| | - Yang Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Hongjian Jin
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Catherine J Drummond
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Casey G Langdon
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Katherine E Gadek
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Kyna Vuong
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Kristin B Reed
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Matthew R Garcia
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Beisi Xu
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Darden W Kimbrough
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- Rhodes College, Memphis, TN, 38112, USA
| | - Grace E Adkins
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- St. Jude Graduate School of Biomedical Sciences, Memphis, TN, 38105, USA
| | - Nadhir Djekidel
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Shaina N Porter
- Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Patrick A Schreiner
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Shondra M Pruett-Miller
- Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Brian J Abraham
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Jerold E Rehg
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Mark E Hatley
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
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15
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Soukar I, Mitra A, Pile LA. Analysis of the chromatin landscape and RNA polymerase II binding at SIN3-regulated genes. Biol Open 2023; 12:bio060026. [PMID: 37850739 PMCID: PMC10651107 DOI: 10.1242/bio.060026] [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: 06/02/2023] [Accepted: 10/12/2023] [Indexed: 10/19/2023] Open
Abstract
The chromatin environment has a significant impact on gene expression. Chromatin structure is highly regulated by histone modifications and RNA polymerase II binding dynamics. The SIN3 histone modifying complex regulates the chromatin environment leading to changes in gene expression. In Drosophila melanogaster, the Sin3A gene is alternatively spliced to produce different protein isoforms, two of which include SIN3 220 and SIN3 187. Both SIN3 isoforms are scaffolding proteins that interact with several other factors to regulate the chromatin landscape. The mechanism through which the SIN3 isoforms regulate chromatin is not well understood. Here, we analyze publicly available data sets to allow us to ask specific questions on how SIN3 isoforms regulate chromatin and gene activity. We determined that genes repressed by the SIN3 isoforms exhibited enrichment in histone H3K4me2, H3K4me3, H3K14ac and H3K27ac near the transcription start site. We observed an increase in the amount of paused RNA polymerase II on the promoter of genes repressed by the isoforms as compared to genes that require SIN3 for maximum activation. Furthermore, we analyzed a subset of genes regulated by SIN3 187 that suggest a mechanism in which SIN3 187 might exhibit hard regulation as well as soft regulation. Data presented here expand our knowledge of how the SIN3 isoforms regulate the chromatin environment and RNA polymerase II binding dynamics.
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Affiliation(s)
- Imad Soukar
- Department of Biological Sciences, Wayne State University, Detroit, MI 48202, USA
| | - Anindita Mitra
- Department of Biological Sciences, Wayne State University, Detroit, MI 48202, USA
| | - Lori A. Pile
- Department of Biological Sciences, Wayne State University, Detroit, MI 48202, USA
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16
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Davati N, Ghorbani A, Ashrafi-Dehkordi E, P. Karbanowicz T. Gene Networks Analysis of Salmonella Typhimurium Reveals New Insights on Key Genes Involved in Response to Low Water Activity. IRANIAN JOURNAL OF BIOTECHNOLOGY 2023; 21:e3640. [PMID: 38269200 PMCID: PMC10804061 DOI: 10.30498/ijb.2023.387696.3640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 08/29/2023] [Indexed: 01/26/2024]
Abstract
Background When Salmonella enterica serovar Typhimurium, a foodborne bacterium, is exposed to osmotic stress, cellular adaptations increase virulence severity and cellular survival. Objectives The aim of the gene network analysis of S. Typhimurium was to provide insights into the various interactions between the genes involved in cellular survival under low water activity (aw). Materials and Methods We performed a gene network analysis to identify the gene clusters and hub genes of S. Typhimurium using Cytoscape in three food samples subjected to aw stress after 72 hours. Results The identified hub genes of S. Typhimurium belonged to down-regulated genes and were related to translation, transcription, and ribosome structure in the food samples. The rpsB and Tig were identified as the most important of the hub genes. Enrichment analysis of the hub genes also revealed the importance of translation and cellular protein metabolic processes. Moreover, the biological process associated with organonitrogen metabolism in milk chocolate was identified. According to the KEGG pathway results of gene cluster analysis, cellular responses to stress were associated with RNA polymerase, ribosome, and oxidative phosphorylation. Genes encoding RNA polymerase activity, including rpoA, rpoB, and rpoZ, were also significantly identified in the KEGG pathways. The identified motifs of hub DEGs included EXPREG_00000850, EXPREG_00000b00, EXPREG_000008e0, and EXPREG_00000850. Conclusion Based on the results of the gene network analysis, the identified hub genes may contribute to adaptation to food compositions and be responsible for the development of low water stress tolerance in Salmonella. Among the food samples, the milk chocolate matrix leads to more adaptation pathways for S. Typhimurium survival, as more hub genes were down-regulated and more motifs were detected. The identified motifs were involved in carbohydrate metabolism, carbohydrate transport, electron transfer, and oxygen transfer.
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Affiliation(s)
- Nafiseh Davati
- Department of Food Science and Technology, College of Food Industry, Bu-Ali Sina University, Hamedan, Iran
| | - Abozar Ghorbani
- Nuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, Iran
| | - Elham Ashrafi-Dehkordi
- Nutrition Research Center, Department of Food Hygiene and Quality Control, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
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17
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Kim P, Kumar H, Yang C, Luo R, Liu J, Zhou X. Systematic investigation of the homology sequences around the human fusion gene breakpoints in pan-cancer - bioinformatics study for a potential link to MMEJ. Brief Bioinform 2023; 24:bbad314. [PMID: 37635381 PMCID: PMC10516359 DOI: 10.1093/bib/bbad314] [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: 05/01/2023] [Revised: 07/10/2023] [Accepted: 08/10/2023] [Indexed: 08/29/2023] Open
Abstract
Microhomology-mediated end joining (MMEJ), an error-prone DNA damage repair mechanism, frequently leads to chromosomal rearrangements due to its ability to engage in promiscuous end joining of genomic instability and also leads to increasing mutational load at the sequences flanking the breakpoints (BPs). In this study, we systematically investigated the homology sequences around the genomic breakpoint area of human fusion genes, which were formed by the chromosomal rearrangements initiated by DNA double-strand breakage. Since the RNA-seq data is the typical data set to check the fusion genes, for the known exon junction fusion breakpoints identified from RNA-seq data, we have to infer the high chance of genomic breakpoint regions. For this, we utilized the high feature importance score area calculated from our recently developed fusion BP prediction model, FusionAI and identified 151 K microhomologies among ~24 K fusion BPs in 20 K fusion genes. From our multiple bioinformatics studies, we found a relationship between sequence homologies and the immune system. This in-silico study will provide novel knowledge on the sequence homologies around the coded structural variants.
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Affiliation(s)
- Pora Kim
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Himansu Kumar
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Chengyuan Yang
- School of Public Health Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ruihan Luo
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jiajia Liu
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaobo Zhou
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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18
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Chau KD, Shamekh M, Huisken J, Rehan SM. The effects of maternal care on the developmental transcriptome and metatranscriptome of a wild bee. Commun Biol 2023; 6:904. [PMID: 37709905 PMCID: PMC10502028 DOI: 10.1038/s42003-023-05275-2] [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: 03/24/2023] [Accepted: 08/22/2023] [Indexed: 09/16/2023] Open
Abstract
Maternal care acts as a strong environmental stimulus that can induce phenotypic plasticity in animals and may also alter their microbial communities through development. Here, we characterize the developmental metatranscriptome of the small carpenter bee, Ceratina calcarata, across developmental stages and in the presence or absence of mothers. Maternal care had the most influence during early development, with the greatest number and magnitude of differentially expressed genes between maternal care treatments, and enrichment for transcription factors regulating immune response in motherless early larvae. Metatranscriptomic data revealed fungi to be the most abundant group in the microbiome, with Aspergillus the most abundant in early larvae raised without mothers. Finally, integrative analysis between host transcriptome and metatranscriptome highlights several fungi correlating with developmental and immunity genes. Our results provide characterizations of the influence of maternal care on gene expression and the microbiome through development in a wild bee.
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Affiliation(s)
| | | | - Jesse Huisken
- Department of Biology, York University, Toronto, Canada
| | - Sandra M Rehan
- Department of Biology, York University, Toronto, Canada.
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19
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Hepkema J, Lee NK, Stewart BJ, Ruangroengkulrith S, Charoensawan V, Clatworthy MR, Hemberg M. Predicting the impact of sequence motifs on gene regulation using single-cell data. Genome Biol 2023; 24:189. [PMID: 37582793 PMCID: PMC10426127 DOI: 10.1186/s13059-023-03021-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/21/2023] [Indexed: 08/17/2023] Open
Abstract
The binding of transcription factors at proximal promoters and distal enhancers is central to gene regulation. Identifying regulatory motifs and quantifying their impact on expression remains challenging. Using a convolutional neural network trained on single-cell data, we infer putative regulatory motifs and cell type-specific importance. Our model, scover, explains 29% of the variance in gene expression in multiple mouse tissues. Applying scover to distal enhancers identified using scATAC-seq from the developing human brain, we identify cell type-specific motif activities in distal enhancers. Scover can identify regulatory motifs and their importance from single-cell data where all parameters and outputs are easily interpretable.
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Affiliation(s)
- Jacob Hepkema
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Nicholas Keone Lee
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- The Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK
| | - Benjamin J Stewart
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
- Cambridge University Hospitals NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, CB2 0QQ, UK
| | - Siwat Ruangroengkulrith
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Varodom Charoensawan
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
- Integrative Computational BioScience (ICBS) Center, Mahidol University, Nakhon Pathom, 7310, Thailand
- Systems Biology of Diseases Research Unit, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Menna R Clatworthy
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
- Molecular Immunity Unit, Department of Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
- Cambridge University Hospitals NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge, CB2 0QQ, UK
| | - Martin Hemberg
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
- The Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK.
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, 02115, USA.
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20
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Mottaghi-Dastjerdi N, Ghorbani A, Montazeri H, Guzzi PH. A systems biology approach to pathogenesis of gastric cancer: gene network modeling and pathway analysis. BMC Gastroenterol 2023; 23:248. [PMID: 37482618 PMCID: PMC10364406 DOI: 10.1186/s12876-023-02891-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 07/18/2023] [Indexed: 07/25/2023] Open
Abstract
BACKGROUND Gastric cancer (GC) ranks among the most common malignancies worldwide. This study aimed to find critical genes/pathways in GC pathogenesis. METHODS Gene interactions were analyzed, and the protein-protein interaction network was drawn. Then enrichment analysis of the hub genes was performed and network cluster analysis and promoter analysis of the hub genes were done. Age/sex analysis was done on the identified genes. RESULTS Eleven hub genes in GC were identified in the current study (ATP5A1, ATP5B, ATP5D, MT-ATP8, COX7A2, COX6C, ND4, ND6, NDUFS3, RPL8, and RPS16), mostly involved in mitochondrial functions. There was no report on the ATP5D, ND6, NDUFS3, RPL8, and RPS16 in GC. Our results showed that the most affected processes in GC are the metabolic processes, and the oxidative phosphorylation pathway was considerably enriched which showed the significance of mitochondria in GC pathogenesis. Most of the affected pathways in GC were also involved in neurodegenerative diseases. Promoter analysis showed that negative regulation of signal transduction might play an important role in GC pathogenesis. In the analysis of the basal expression pattern of the selected genes whose basal expression presented a change during the age, we found that a change in age may be an indicator of changes in disease insurgence and/or progression at different ages. CONCLUSIONS These results might open up new insights into GC pathogenesis. The identified genes might be novel diagnostic/prognostic biomarkers or potential therapeutic targets for GC. This work, being based on bioinformatics analysis act as a hypothesis generator that requires further clinical validation.
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Affiliation(s)
- Negar Mottaghi-Dastjerdi
- Department of Pharmacognosy and Pharmaceutical Biotechnology, School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran.
| | - Abozar Ghorbani
- Nuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, Iran.
| | - Hamed Montazeri
- Department of Pharmacognosy and Pharmaceutical Biotechnology, School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran
| | - Pietro Hiram Guzzi
- Department of Surgical and Medical Sciences, University "Magna Græcia" of Catanzaro, Catanzaro, Italy
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21
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Bai J, Lin Y, Zhang J, Chen Z, Wang Y, Li M, Li J. Profiling of Chromatin Accessibility in Pigs across Multiple Tissues and Developmental Stages. Int J Mol Sci 2023; 24:11076. [PMID: 37446255 DOI: 10.3390/ijms241311076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/27/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
The study of chromatin accessibility across tissues and developmental stages is essential for elucidating the transcriptional regulation of various phenotypes and biological processes. However, the chromatin accessibility profiles of multiple tissues in newborn pigs and across porcine liver development remain poorly investigated. Here, we used ATAC-seq and rRNA-depleted RNA-seq to profile open chromatin maps and transcriptional features of heart, kidney, liver, lung, skeletal muscle, and spleen in newborn pigs and porcine liver tissue in the suckling and adult stages, respectively. Specifically, by analyzing a union set of protein-coding genes (PCGs) and two types of transcripts (lncRNAs and TUCPs), we obtained a comprehensive annotation of consensus ATAC-seq peaks for each tissue and developmental stage. As expected, the PCGs with tissue-specific accessible promoters had active transcription and were relevant to tissue-specific functions. In addition, other non-coding tissue-specific peaks were involved in both physical activity and the morphogenesis of neonatal tissues. We also characterized stage-specific peaks and observed a close association between dynamic chromatin accessibility and hepatic function transition during liver postnatal development. Overall, this study expands our current understanding of epigenetic regulation in mammalian tissues and organ development, which can benefit both economic trait improvement and improve the biomedical usage of pigs.
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Affiliation(s)
- Jingyi Bai
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yu Lin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jiaman Zhang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Ziyu Chen
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Yujie Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
| | - Jing Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
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22
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Wu Y, Li Z, Wedn AM, Casey AN, Brown D, Rao SV, Omarjee S, Hooda J, Carroll JS, Gertz J, Atkinson JM, Lee AV, Oesterreich S. FOXA1 Reprogramming Dictates Retinoid X Receptor Response in ESR1-Mutant Breast Cancer. Mol Cancer Res 2023; 21:591-604. [PMID: 36930833 PMCID: PMC10239325 DOI: 10.1158/1541-7786.mcr-22-0516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 01/27/2023] [Accepted: 03/15/2023] [Indexed: 03/19/2023]
Abstract
Estrogen receptor alpha (ER/ESR1) mutations occur in 30% to 40% of endocrine resistant ER-positive (ER+) breast cancer. Forkhead box A1 (FOXA1) is a key pioneer factor mediating ER-chromatin interactions and endocrine response in ER+ breast cancer, but its role in ESR1-mutant breast cancer remains unclear. Our previous FOXA1 chromatin immunoprecipitation sequencing (ChIP-seq) identified a large portion of redistributed binding sites in T47D genome-edited Y537S and D538G ESR1-mutant cells. Here, we further integrated FOXA1 genomic binding profile with the isogenic ER cistrome, accessible genome, and transcriptome data of T47D cell model. FOXA1 redistribution was significantly associated with transcriptomic alterations caused by ESR1 mutations. Furthermore, in ESR1-mutant cells, FOXA1-binding sites less frequently overlapped with ER, and differential gene expression was less associated with the canonical FOXA1-ER axis. Motif analysis revealed a unique enrichment of retinoid X receptor (RXR) motifs in FOXA1-binding sites of ESR1-mutant cells. Consistently, ESR1-mutant cells were more sensitive to growth stimulation with the RXR agonist LG268. The mutant-specific response was dependent on two RXR isoforms, RXR-α and RXR-β, with a stronger dependency on the latter. In addition, T3, the agonist of thyroid receptor (TR) also showed a similar growth-promoting effect in ESR1-mutant cells. Importantly, RXR antagonist HX531 blocked growth of ESR1-mutant cells and a patient-derived xenograft (PDX)-derived organoid with an ESR1 D538G mutation. Collectively, our data support the evidence for a stronger RXR response associated with FOXA1 reprograming in ESR1-mutant cells, suggesting development of therapeutic strategies targeting RXR pathways in breast tumors with ESR1 mutation. IMPLICATIONS It provides comprehensive characterization of the role of FOXA1 in ESR1-mutant breast cancer and potential therapeutic strategy through blocking RXR activation.
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Affiliation(s)
- Yang Wu
- School of Medicine, Tsinghua University, Beijing, China
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
| | - Zheqi Li
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh PA, USA
| | - Abdalla M. Wedn
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh PA, USA
| | - Allison N. Casey
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh PA, USA
| | - Daniel Brown
- Institute for Precision Medicine, University of Pittsburgh, Pittsburgh PA, USA
| | - Shalini V. Rao
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Soleilmane Omarjee
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Jagmohan Hooda
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh PA, USA
| | - Jason S. Carroll
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Jason Gertz
- Department of Oncological Sciences, University of Utah, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jennifer M. Atkinson
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh PA, USA
- Institute for Precision Medicine, University of Pittsburgh, Pittsburgh PA, USA
| | - Adrian V. Lee
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh PA, USA
- Institute for Precision Medicine, University of Pittsburgh, Pittsburgh PA, USA
| | - Steffi Oesterreich
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh PA, USA
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23
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Fulton SL, Bendl J, Gameiro-Ros I, Fullard JF, Al-Kachak A, Lepack AE, Stewart AF, Singh S, Poller WC, Bastle RM, Hauberg ME, Fakira AK, Chen M, Cuttoli RDD, Cathomas F, Ramakrishnan A, Gleason K, Shen L, Tamminga CA, Milosevic A, Russo SJ, Swirski F, Blitzer RD, Slesinger PA, Roussos P, Maze I. ZBTB7A regulates MDD-specific chromatin signatures and astrocyte-mediated stress vulnerability in orbitofrontal cortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.04.539425. [PMID: 37205394 PMCID: PMC10187272 DOI: 10.1101/2023.05.04.539425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Hyperexcitability in the orbitofrontal cortex (OFC) is a key clinical feature of anhedonic domains of Major Depressive Disorder (MDD). However, the cellular and molecular substrates underlying this dysfunction remain unknown. Here, cell-population-specific chromatin accessibility profiling in human OFC unexpectedly mapped genetic risk for MDD exclusively to non-neuronal cells, and transcriptomic analyses revealed significant glial dysregulation in this region. Characterization of MDD-specific cis-regulatory elements identified ZBTB7A - a transcriptional regulator of astrocyte reactivity - as an important mediator of MDD-specific chromatin accessibility and gene expression. Genetic manipulations in mouse OFC demonstrated that astrocytic Zbtb7a is both necessary and sufficient to promote behavioral deficits, cell-type-specific transcriptional and chromatin profiles, and OFC neuronal hyperexcitability induced by chronic stress - a major risk factor for MDD. These data thus highlight a critical role for OFC astrocytes in stress vulnerability and pinpoint ZBTB7A as a key dysregulated factor in MDD that mediates maladaptive astrocytic functions driving OFC hyperexcitability.
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Affiliation(s)
- Sasha L. Fulton
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jaroslav Bendl
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Isabel Gameiro-Ros
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John F. Fullard
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Amni Al-Kachak
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ashley E. Lepack
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew F. Stewart
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sumnima Singh
- Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- The Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Wolfram C. Poller
- Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- The Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Ryan M. Bastle
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mads E. Hauberg
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Amanda K. Fakira
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Min Chen
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Romain Durand-de Cuttoli
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Flurin Cathomas
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aarthi Ramakrishnan
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kelly Gleason
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Li Shen
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol A. Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Ana Milosevic
- Laboratory of Molecular and Cellular Neuroscience, Rockefeller University, New York, New York, USA
| | - Scott J. Russo
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Filip Swirski
- Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- The Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Robert D. Blitzer
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Paul A. Slesinger
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Panos Roussos
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, New York, USA
- Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, New York, USA
| | - Ian Maze
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
- Howard Hughes Medical Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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24
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Weng Z, Ruan F, Chen W, Chen Z, Xie Y, Luo M, Xie Z, Zhang C, Wang J, Sun Y, Fang Y, Guo M, Tan C, Chen W, Tong Y, Li Y, Wang H, Tang C. BIND&MODIFY: a long-range method for single-molecule mapping of chromatin modifications in eukaryotes. Genome Biol 2023; 24:61. [PMID: 36991510 PMCID: PMC10052867 DOI: 10.1186/s13059-023-02896-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 03/15/2023] [Indexed: 03/31/2023] Open
Abstract
Epigenetic modifications of histones are associated with development and pathogenesis of disease. Existing approaches cannot provide insights into long-range interactions and represent the average chromatin state. Here we describe BIND&MODIFY, a method using long-read sequencing for profiling histone modifications and transcription factors on individual DNA fibers. We use recombinant fused protein A-M.EcoGII to tether methyltransferase M.EcoGII to protein binding sites to label neighboring regions by methylation. Aggregated BIND&MODIFY signal matches bulk ChIP-seq and CUT&TAG. BIND&MODIFY can simultaneously measure histone modification status, transcription factor binding, and CpG 5mC methylation at single-molecule resolution and also quantifies correlation between local and distal elements.
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Affiliation(s)
- Zhe Weng
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Weitian Chen
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhichao Chen
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yeming Xie
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Meng Luo
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Zhe Xie
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- Department of Biology, Cell Biology and Physiology, University of Copenhagen 13, 2100, Copenhagen, Denmark
| | - Chen Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Juan Wang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Yuxin Sun
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Yitong Fang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Mei Guo
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Chen Tan
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Wenfang Chen
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Yiqin Tong
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Yaning Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Hongqi Wang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Chong Tang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
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25
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Liu X, Chen J, Li J, Zeng Z, Jiang X, Gao Y, Huang Z, Wu Q, Gong Y, Xie C. Integrated analysis reveals common DNA methylation patterns of alcohol-associated cancers: A pan-cancer analysis. Front Genet 2023; 14:1032683. [PMID: 36861126 PMCID: PMC9968750 DOI: 10.3389/fgene.2023.1032683] [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: 08/31/2022] [Accepted: 01/24/2023] [Indexed: 02/16/2023] Open
Abstract
Background: The role of alcohol in carcinogenesis has received increasing attention in recent years. Evidence shows its impacts on various aspects, including epigenetics alteration. The DNA methylation patterns underlying alcohol-associated cancers are not fully understood. Methods: We investigated the aberrant DNA methylation patterns in four alcohol-associated cancers based on the Illumina HumanMethylation450 BeadChip. Pearson coefficient correlations were identified between differential methylated CpG probes and annotated genes. Transcriptional factor motifs were enriched and clustered using MEME Suite, and a regulatory network was constructed. Results: In each cancer, differential methylated probes (DMPs) were identified, and 172 hypermethylated and 21 hypomethylated pan-cancer DMPs (PDMPs) were examined further. Annotated genes significantly regulated by PDMPs were investigated and enriched in transcriptional misregulation in cancers. The CpG island chr19:58220189-58220517 was hypermethylated in all four cancers and silenced in the transcription factor ZNF154. Various biological effects were exerted by 33 hypermethylated and seven hypomethylated transcriptional factor motifs grouped into five clusters. Eleven pan-cancer DMPs were identified to be associated with clinical outcomes in the four alcohol-associated cancers, which might provide a potential point of view for clinical outcome prediction. Conclusion: This study provides an integrated insight into DNA methylation patterns in alcohol-associated cancers and reveals the corresponding features, influences, and potential mechanisms.
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Affiliation(s)
- Xingyu Liu
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jiarui Chen
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jiali Li
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zihang Zeng
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xueping Jiang
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yanping Gao
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhengrong Huang
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China,Tumor Precision Diagnosis and Treatment Technology and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Qiuji Wu
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China,Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China,Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yan Gong
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China,Tumor Precision Diagnosis and Treatment Technology and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China,*Correspondence: Yan Gong, ; Conghua Xie,
| | - Conghua Xie
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China,Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China,Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China,*Correspondence: Yan Gong, ; Conghua Xie,
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Kaur H, Manchanda P, Kumar P, Dhall RK, Chhuneja P, Weng Y. Genome-wide identification and characterization of parthenocarpic fruit set-related gene homologs in cucumber (Cucumis sativus L.). Sci Rep 2023; 13:2403. [PMID: 36765113 PMCID: PMC9918540 DOI: 10.1038/s41598-023-29660-3] [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: 07/21/2022] [Accepted: 02/08/2023] [Indexed: 02/12/2023] Open
Abstract
Cucumber (Cucumis sativus L.), a major horticultural crop, in the family Cucurbitaceae is grown and consumed globally. Parthenocarpy is an ideal trait for many fruit and vegetables which produces seedless fruit desired by consumers. The seedlessness occurs when fruit develops without fertilization which can be either natural or induced. So far, a limited number of genes regulating parthenocarpic fruit set have been reported in several fruit or vegetable crops, most of which are involved in hormone biosynthesis or signalling. Although parthenocarpic cucumber has been widely used in commercial production for a long time; its genetic basis is not well understood. In this study, we retrieved thirty five parthenocarpy fruit-set related genes (PRGs) from bibliomic data in various plants. Thirty-five PRG homologs were identified in the cucumber genome via homology-based search. An in silico analysis was performed on phylogenetic tree, exon-intron structure, cis-regulatory elements in the promoter region, and conserved domains of their deduced proteins, which provided insights into the genetic make-up of parthenocarpy-related genes in cucumber. Simple sequence repeat (SSR) sequences were mined in these PRGs, and 31 SSR markers were designed. SSR genotyping identified three SSRs in two polymorphic genes. Quantitative real-time PCR of selected genes was conducted in five cucumber lines with varying degrees of parthenocarpic fruit set capacities, which revealed possible association of their expression with parthenocarpy. The results revealed that homologs CsWD40 and CsPIN-4 could be considered potential genes for determination of parthenocarpy as these genes showed parental polymorphism and differential gene expression in case of parthenocarpic and non-parthenocarpic parents.
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Affiliation(s)
- Harleen Kaur
- School of Agricultural Biotechnology, College of Agriculture, Punjab Agricultural University, Ludhiana, 141004, India
| | - Pooja Manchanda
- School of Agricultural Biotechnology, College of Agriculture, Punjab Agricultural University, Ludhiana, 141004, India.
| | - Pankaj Kumar
- School of Agricultural Biotechnology, College of Agriculture, Punjab Agricultural University, Ludhiana, 141004, India
| | - Rajinder Kumar Dhall
- Department of Vegetable Science, College of Horticulture and Forestry, Punjab Agricultural University, Ludhiana, 141004, India
| | - Parveen Chhuneja
- School of Agricultural Biotechnology, College of Agriculture, Punjab Agricultural University, Ludhiana, 141004, India
| | - Yiqun Weng
- USDA-ARS Vegetable Crops Research Unit, Department of Horticulture, University of Wisconsin, Madison, WI, 53706, USA
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27
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Castillo KD, Wu C, Ding Z, Lopez-Garcia OK, Rowlinson E, Sachs MS, Bell-Pedersen D. A circadian clock translational control mechanism targets specific mRNAs to cytoplasmic messenger ribonucleoprotein granules. Cell Rep 2022; 41:111879. [PMID: 36577368 PMCID: PMC10241597 DOI: 10.1016/j.celrep.2022.111879] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 09/13/2022] [Accepted: 12/04/2022] [Indexed: 12/29/2022] Open
Abstract
Phosphorylation of Neurospora crassa eukaryotic initiation factor 2 α (eIF2α), a conserved translation initiation factor, is clock controlled. To determine the impact of rhythmic eIF2α phosphorylation on translation, we performed temporal ribosome profiling and RNA sequencing (RNA-seq) in wild-type (WT), clock mutant Δfrq, eIF2α kinase mutant Δcpc-3, and constitutively active cpc-3c cells. About 14% of mRNAs are rhythmically translated in WT cells, and translation rhythms for ∼30% of these mRNAs, which we named circadian translation-initiation-controlled genes (cTICs), are dependent on the clock and CPC-3. Most cTICs are expressed from arrhythmic mRNAs and contain a P-body (PB) localization motif in their 5' leader sequence. Deletion of SNR-1, a component of cytoplasmic messenger ribonucleoprotein granules (cmRNPgs) that include PBs and stress granules (SGs), and the PB motif on one of the cTIC mRNAs, zip-1, significantly alters zip-1 rhythmic translation. These results reveal that the clock regulates rhythmic translation of specific mRNAs through rhythmic eIF2α activity and cmRNPg metabolism.
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Affiliation(s)
- Kathrina D Castillo
- Center for Biological Clocks Research, Texas A&M University, College Station, TX 77843, USA; Department of Biology, Texas A&M University, College Station, TX 77843, USA
| | - Cheng Wu
- Department of Biology, Texas A&M University, College Station, TX 77843, USA
| | - Zhaolan Ding
- Center for Biological Clocks Research, Texas A&M University, College Station, TX 77843, USA; Department of Biology, Texas A&M University, College Station, TX 77843, USA
| | | | - Emma Rowlinson
- Department of Biology, Texas A&M University, College Station, TX 77843, USA
| | - Matthew S Sachs
- Department of Biology, Texas A&M University, College Station, TX 77843, USA
| | - Deborah Bell-Pedersen
- Center for Biological Clocks Research, Texas A&M University, College Station, TX 77843, USA; Department of Biology, Texas A&M University, College Station, TX 77843, USA.
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28
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Kenaston MW, Pham OH, Petit MJ, Shah PS. Transcriptomic profiling implicates PAF1 in both active and repressive immune regulatory networks. BMC Genomics 2022; 23:787. [PMID: 36451099 PMCID: PMC9713194 DOI: 10.1186/s12864-022-09013-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 11/14/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Sitting at the interface of gene expression and host-pathogen interaction, polymerase associated factor 1 complex (PAF1C) is a rising player in the innate immune response. The complex localizes to the nucleus and associates with chromatin to modulate RNA polymerase II (RNAPII) elongation of gene transcripts. Performing this function at both proximal and distal regulatory elements, PAF1C interacts with many host factors across such sites, along with several microbial proteins during infection. Therefore, translating the ubiquity of PAF1C into specific impacts on immune gene expression remains especially relevant. RESULTS Advancing past work, we treat PAF1 knockout cells with a slate of immune stimuli to identify key trends in PAF1-dependent gene expression with broad analytical depth. From our transcriptomic data, we confirm PAF1 is an activator of traditional immune response pathways as well as other cellular pathways correlated with pathogen defense. With this model, we employ computational approaches to refine how PAF1 may contribute to both gene activation and suppression. Specifically focusing on transcriptional motifs and regulons, we predict gene regulatory elements strongly associated with PAF1, including those implicated in an immune response. Overall, our results suggest PAF1 is involved in innate immunity at several distinct axes of regulation. CONCLUSIONS By identifying PAF1-dependent gene expression across several pathogenic contexts, we confirm PAF1C to be a key mediator of innate immunity. Combining these transcriptomic profiles with potential regulatory networks corroborates the previously identified functions of PAF1C. With this, we foster new avenues for its study as a regulator of innate immunity, and our results will serve as a basis for targeted study of PAF1C in future validation studies.
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Affiliation(s)
- Matthew W. Kenaston
- Department of Microbiology and Molecular Genetics, University of California, Davis, Davis, California, USA
| | - Oanh H. Pham
- Department of Microbiology and Molecular Genetics, University of California, Davis, Davis, California, USA
| | - Marine J. Petit
- Department of Microbiology and Molecular Genetics, University of California, Davis, Davis, California, USA ,grid.301713.70000 0004 0393 3981MRC-University of Glasgow, Centre for Virus Research, G61 1HQ, Glasgow, UK
| | - Priya S. Shah
- Department of Microbiology and Molecular Genetics, University of California, Davis, Davis, California, USA ,Department of Chemical Engineering, University of California, Davis, Davis, California, USA
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29
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Stein CB, Field AR, Mimoso CA, Zhao C, Huang KL, Wagner EJ, Adelman K. Integrator endonuclease drives promoter-proximal termination at all RNA polymerase II-transcribed loci. Mol Cell 2022; 82:4232-4245.e11. [PMID: 36309014 PMCID: PMC9680917 DOI: 10.1016/j.molcel.2022.10.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 08/28/2022] [Accepted: 10/04/2022] [Indexed: 11/07/2022]
Abstract
RNA polymerase II (RNAPII) pausing in early elongation is critical for gene regulation. Paused RNAPII can be released into productive elongation by the kinase P-TEFb or targeted for premature termination by the Integrator complex. Integrator comprises endonuclease and phosphatase activities, driving termination by cleavage of nascent RNA and removal of stimulatory phosphorylation. We generated a degron system for rapid Integrator endonuclease (INTS11) depletion to probe the direct consequences of Integrator-mediated RNA cleavage. Degradation of INTS11 elicits nearly universal increases in active early elongation complexes. However, these RNAPII complexes fail to achieve optimal elongation rates and exhibit persistent Integrator phosphatase activity. Thus, only short transcripts are significantly upregulated following INTS11 loss, including transcription factors, signaling regulators, and non-coding RNAs. We propose a uniform molecular function for INTS11 across all RNAPII-transcribed loci, with differential effects on particular genes, pathways, or RNA biotypes reflective of transcript lengths rather than specificity of Integrator activity.
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Affiliation(s)
- Chad B Stein
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Andrew R Field
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Boston, MA 02115, USA
| | - Claudia A Mimoso
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - ChenCheng Zhao
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Kai-Lieh Huang
- Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
| | - Eric J Wagner
- Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
| | - Karen Adelman
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Boston, MA 02115, USA; Broad Institute, Cambridge, MA 02142, USA.
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30
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RTA1 Is Involved in Resistance to 7-Aminocholesterol and Secretion of Fungal Proteins in Cryptococcus neoformans. Pathogens 2022; 11:pathogens11111239. [PMID: 36364991 PMCID: PMC9697666 DOI: 10.3390/pathogens11111239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/21/2022] [Accepted: 10/24/2022] [Indexed: 11/30/2022] Open
Abstract
Cryptococcus neoformans (Cn) is a pathogenic yeast that is the leading cause of fungal meningitis in immunocompromised patients. Various Cn virulence factors, such as the enzyme laccase and its product melanin, phospholipase, and capsular polysaccharide have been identified. During a screen of knockout mutants, the gene resistance to aminocholesterol 1 (RTA1) was identified, the function of which is currently unknown in Cn. Rta1 homologs in S. cerevisiae belong to a lipid-translocating exporter family of fungal proteins with transmembrane regions and confer resistance to the antimicrobial agent 7-aminocholesterol when overexpressed. To determine the role of RTA1 in Cn, the knock-out (rta1Δ) and reconstituted (rta1Δ+RTA1) strains were created and phenotypically tested. RTA1 was involved in resistance to 7-aminocholesterol, and also in exocyst complex component 3 (Sec6)-mediated secretion of urease, laccase, and the major capsule component, glucuronoxylomannan (GXM), which coincided with significantly smaller capsules in the rta1Δ and rta1Δ+RTA1 strains compared to the wild-type H99 strain. Furthermore, RTA1 expression was reduced in a secretory 14 mutant (sec14Δ) and increased in an RNAi Sec6 mutant. Transmission electron microscopy demonstrated vesicle accumulation inside the rta1Δ strain, predominantly near the cell membrane. Given that Rta1 is likely to be a transmembrane protein located at the plasma membrane, these data suggest that Rta1 may be involved in both secretion of various fungal virulence factors and resistance to 7-aminocholesterol in Cn.
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31
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Al Moussawi K, Chung K, Carroll TM, Osterburg C, Smirnov A, Lotz R, Miller P, Dedeić Z, Zhong S, Oti M, Kouwenhoven EN, Asher R, Goldin R, Tellier M, Murphy S, Zhou H, Dötsch V, Lu X. Mutant Ras and inflammation-driven skin tumorigenesis is suppressed via a JNK-iASPP-AP1 axis. Cell Rep 2022; 41:111503. [PMID: 36261000 PMCID: PMC9597577 DOI: 10.1016/j.celrep.2022.111503] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 06/29/2022] [Accepted: 09/22/2022] [Indexed: 11/05/2022] Open
Abstract
Concurrent mutation of a RAS oncogene and the tumor suppressor p53 is common in tumorigenesis, and inflammation can promote RAS-driven tumorigenesis without the need to mutate p53. Here, we show, using a well-established mutant RAS and an inflammation-driven mouse skin tumor model, that loss of the p53 inhibitor iASPP facilitates tumorigenesis. Specifically, iASPP regulates expression of a subset of p63 and AP1 targets, including genes involved in skin differentiation and inflammation, suggesting that loss of iASPP in keratinocytes supports a tumor-promoting inflammatory microenvironment. Mechanistically, JNK-mediated phosphorylation regulates iASPP function and inhibits iASPP binding with AP1 components, such as JUND, via PXXP/SH3 domain-mediated interaction. Our results uncover a JNK-iASPP-AP1 regulatory axis that is crucial for tissue homeostasis. We show that iASPP is a tumor suppressor and an AP1 coregulator.
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Affiliation(s)
- Khatoun Al Moussawi
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Kathryn Chung
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Thomas M Carroll
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Christian Osterburg
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University, Frankfurt, Germany
| | - Artem Smirnov
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Rebecca Lotz
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University, Frankfurt, Germany
| | - Paul Miller
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Zinaida Dedeić
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Shan Zhong
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Martin Oti
- Radboud University, Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Evelyn N Kouwenhoven
- Radboud University, Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Ruth Asher
- Cellular Pathology, John Radcliffe Hospital, Oxford OX3 9DU, UK; Department of Histopathology, University Hospital Wales, Cardiff CF14 4XW, UK
| | - Robert Goldin
- Department of Pathology, Imperial College London, Faculty of Medicine at St Mary's, Norfolk Place, London W2 1PG, UK
| | - Michael Tellier
- Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK
| | - Shona Murphy
- Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK
| | - Huiqing Zhou
- Radboud University, Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands; Radboud University Medical Centre, Department of Human Genetics, Radboud Institute for Molecular Life Sciences, 6500 Nijmegen, the Netherlands
| | - Volker Dötsch
- Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University, Frankfurt, Germany
| | - Xin Lu
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK.
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32
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Shahriari AG, Soltani Z, Tahmasebi A, Poczai P. Integrative System Biology Analysis of Transcriptomic Responses to Drought Stress in Soybean ( Glycine max L.). Genes (Basel) 2022; 13:1732. [PMID: 36292617 PMCID: PMC9602024 DOI: 10.3390/genes13101732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/21/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
Drought is a major abiotic stressor that causes yield losses and limits the growing area for most crops. Soybeans are an important legume crop that is sensitive to water-deficit conditions and suffers heavy yield losses from drought stress. To improve drought-tolerant soybean cultivars through breeding, it is necessary to understand the mechanisms of drought tolerance in soybeans. In this study, we applied several transcriptome datasets obtained from soybean plants under drought stress in comparison to those grown under normal conditions to identify novel drought-responsive genes and their underlying molecular mechanisms. We found 2168 significant up/downregulated differentially expressed genes (DEGs) and 8 core modules using gene co-expression analysis to predict their biological roles in drought tolerance. Gene Ontology and KEGG analyses revealed key biological processes and metabolic pathways involved in drought tolerance, such as photosynthesis, glyceraldehyde-3-phosphate dehydrogenase and cytokinin dehydrogenase activity, and regulation of systemic acquired resistance. Genome-wide analysis of plants' cis-acting regulatory elements (CREs) and transcription factors (TFs) was performed for all of the identified DEG promoters in soybeans. Furthermore, the PPI network analysis revealed significant hub genes and the main transcription factors regulating the expression of drought-responsive genes in each module. Among the four modules associated with responses to drought stress, the results indicated that GLYMA_04G209700, GLYMA_02G204700, GLYMA_06G030500, GLYMA_01G215400, and GLYMA_09G225400 have high degrees of interconnection and, thus, could be considered as potential candidates for improving drought tolerance in soybeans. Taken together, these findings could lead to a better understanding of the mechanisms underlying drought responses in soybeans, which may useful for engineering drought tolerance in plants.
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Affiliation(s)
- Amir Ghaffar Shahriari
- Department of Agriculture and Natural Resources, Higher Education Center of Eghlid, Eghlid 7381943885, Iran
| | - Zahra Soltani
- Institute of Biotechnology, Shiraz University, Shiraz 7144113131, Iran
| | - Aminallah Tahmasebi
- Department of Agriculture, Minab Higher Education Center, University of Hormozgan, Bandar Abbas 7916193145, Iran
- Plant Protection Research Group, University of Hormozgan, Bandar Abbas 7916193145, Iran
| | - Péter Poczai
- Finnish Museum of Natural History, University of Helsinki, P.O. Box 7, FI-00014 Helsinki, Finland
- Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, FI-00065 Helsinki, Finland
- Institute of Advanced Studies Kőszeg (iASK), P.O. Box 4, H-9731 Kőszeg, Hungary
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33
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Tang B, Li X, Zhang X, Yin Q, Xie L, Zou X, Liu F, Dai X. Transcriptome data reveal gene clusters and key genes in pepper response to heat shock. FRONTIERS IN PLANT SCIENCE 2022; 13:946475. [PMID: 36212322 PMCID: PMC9532576 DOI: 10.3389/fpls.2022.946475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/08/2022] [Indexed: 06/16/2023]
Abstract
Climate change and global warming pose a great threat to plant growth and development as well as crop productivity. To better study the genome-wide gene expression under heat, we performed a time-course (0.5 to 24 h) transcriptome analysis in the leaf and root of 40-day-old pepper plants under 40°C as well as in control plants. Clustering analysis (K-means) showed that the expression of 29,249 genes can be grouped into 12 clusters with distinct expression dynamics under stress. Gene ontology (GO) enrichment analysis and transcription factor (TF) identification were performed on the clusters with certain expression patterns. Comparative analysis between the heat-treated and control plants also identified differentially expressed genes (DEGs), which showed the largest degree of change at 24 h. Interestingly, more DEGs were identified in the root than in the leaf. Moreover, we analyzed the gene expression of 25 heat shock factor genes (HSFs) in pepper after heat stress, identified five of these HSFs that responded to heat stress, and characterized the role of these genes in heat-tolerant (17CL30) and heat-susceptible (05S180) pepper lines. The findings of this study improve our understanding of the genome-wide heat stress response in pepper.
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Affiliation(s)
- Bingqian Tang
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Longping Branch, Graduate School of Hunan University, Changsha, China
- ERC for Germplasm Innovation and New Variety, Breeding of Horticultural Crops, Changsha, China
- Key Laboratory for Vegetable Biology of Hunan Province, Changsha, China
| | - Xiumin Li
- Longping Branch, Graduate School of Hunan University, Changsha, China
| | - Xinhao Zhang
- College of Horticulture, Hunan Agricultural University, Changsha, China
| | - Qinbiao Yin
- College of Horticulture, Hunan Agricultural University, Changsha, China
| | - LingLing Xie
- Key Laboratory for Vegetable Biology of Hunan Province, Changsha, China
| | - Xuexiao Zou
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Longping Branch, Graduate School of Hunan University, Changsha, China
- ERC for Germplasm Innovation and New Variety, Breeding of Horticultural Crops, Changsha, China
- Key Laboratory for Vegetable Biology of Hunan Province, Changsha, China
| | - Feng Liu
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Longping Branch, Graduate School of Hunan University, Changsha, China
- ERC for Germplasm Innovation and New Variety, Breeding of Horticultural Crops, Changsha, China
- Key Laboratory for Vegetable Biology of Hunan Province, Changsha, China
| | - Xiongze Dai
- College of Horticulture, Hunan Agricultural University, Changsha, China
- ERC for Germplasm Innovation and New Variety, Breeding of Horticultural Crops, Changsha, China
- Key Laboratory for Vegetable Biology of Hunan Province, Changsha, China
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34
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Dong A, Liu J, Lin K, Zeng W, So WK, Hu S, Cheung TH. Global chromatin accessibility profiling analysis reveals a chronic activation state in aged muscle stem cells. iScience 2022; 25:104954. [PMID: 36093058 PMCID: PMC9459695 DOI: 10.1016/j.isci.2022.104954] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 06/30/2022] [Accepted: 08/12/2022] [Indexed: 11/26/2022] Open
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35
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de Silva KK, Dunwell JM, Wickramasuriya AM. Weighted Gene Correlation Network Analysis (WGCNA) of Arabidopsis Somatic Embryogenesis (SE) and Identification of Key Gene Modules to Uncover SE-Associated Hub Genes. Int J Genomics 2022; 2022:7471063. [PMID: 35837132 PMCID: PMC9274236 DOI: 10.1155/2022/7471063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/23/2022] [Indexed: 01/07/2023] Open
Abstract
Somatic embryogenesis (SE), which occurs naturally in many plant species, serves as a model to elucidate cellular and molecular mechanisms of embryo patterning in plants. Decoding the regulatory landscape of SE is essential for its further application. Hence, the present study was aimed at employing Weighted Gene Correlation Network Analysis (WGCNA) to construct a gene coexpression network (GCN) for Arabidopsis SE and then identifying highly correlated gene modules to uncover the hub genes associated with SE that may serve as potential molecular targets. A total of 17,059 genes were filtered from a microarray dataset comprising four stages of SE, i.e., stage I (zygotic embryos), stage II (proliferating tissues at 7 days of induction), stage III (proliferating tissues at 14 days of induction), and stage IV (mature somatic embryos). This included 1,711 transcription factors and 445 EMBRYO DEFECTIVE genes. GCN analysis identified a total of 26 gene modules with the module size ranging from 35 to 3,418 genes using a dynamic cut tree algorithm. The module-trait analysis revealed that four, four, seven, and four modules were associated with stages I, II, III, and IV, respectively. Further, we identified a total of 260 hub genes based on the degree of intramodular connectivity. Validation of the hub genes using publicly available expression datasets demonstrated that at least 78 hub genes are potentially associated with embryogenesis; of these, many genes remain functionally uncharacterized thus far. In silico promoter analysis of these genes revealed the presence of cis-acting regulatory elements, "soybean embryo factor 4 (SEF4) binding site," and "E-box" of the napA storage-protein gene of Brassica napus; this suggests that these genes may play important roles in plant embryo development. The present study successfully applied WGCNA to construct a GCN for SE in Arabidopsis and identified hub genes involved in the development of somatic embryos. These hub genes could be used as molecular targets to further elucidate the molecular mechanisms underlying SE in plants.
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Affiliation(s)
- Kithmee K. de Silva
- Department of Plant Sciences, Faculty of Science, University of Colombo, Colombo 03, Sri Lanka
| | - Jim M. Dunwell
- School of Agriculture, Policy and Development, University of Reading, Reading RG6 6EU, UK
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Xu J, Wang D, Ma H, Zhai X, Huo Y, Ren Y, Li W, Chang L, Lu D, Guo Y, Si Y, Gao Y, Wang X, Ma Y, Wang F, Yu J. KHSRP combines transcriptional and posttranscriptional mechanisms to regulate monocytic differentiation. BLOOD SCIENCE 2022; 4:103-115. [DOI: 10.1097/bs9.0000000000000122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/11/2022] [Indexed: 11/25/2022] Open
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37
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Liang F, Zhang Y, Wang X, Yang S, Fang T, Zheng S, Zeng L. Integrative mRNA and Long Noncoding RNA Analysis Reveals the Regulatory Network of Floral Bud Induction in Longan ( Dimocarpus longan Lour.). FRONTIERS IN PLANT SCIENCE 2022; 13:923183. [PMID: 35774802 PMCID: PMC9237614 DOI: 10.3389/fpls.2022.923183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 05/11/2022] [Indexed: 05/27/2023]
Abstract
Longan (Dimocarpus longan Lour.) is a tropical/subtropical fruit tree of significant economic importance. Floral induction is an essential process for longan flowering and plays decisive effects on the longan yield. Due to the instability of flowering, it is necessary to understand the molecular mechanisms of floral induction in longan. In this study, mRNA and long noncoding RNA (lncRNA) transcriptome sequencing were performed using the apical buds of fruiting branches as materials. A total of 7,221 differential expressions of mRNAs (DEmRNAs) and 3,238 differential expressions of lncRNAs (DElncRNAs) were identified, respectively. KEGG enrichment analysis of DEmRNAs highlighted the importance of starch and sucrose metabolic, circadian rhythms, and plant hormone signal transduction pathways during floral induction. Combining the analysis of weighted gene co-expression network (WGCNA) and expression pattern of DEmRNAs in the three pathways, specific transcriptional characteristics at each stage during floral induction and regulatory network involving co-expressed genes were investigated. The results showed that sucrose metabolism and auxin signal transduction may be crucial for the growth and maturity of autumn shoots in September and October (B1-B2 stage); starch and sucrose metabolic, circadian rhythms, and plant hormone signal transduction pathways participated in the regulation of floral bud physiological differentiation together in November and December (B3-B4 stage) and the crosstalk among three pathways was also found. Hub genes in the co-expression network and key DEmRNAs in three pathways were identified. The circadian rhythm genes FKF1 and GI were found to activate SOC1gene through the photoperiod core factor COL genes, and they were co-expressed with auxin, gibberellin, abscisic acid, ethylene signaling genes, and sucrose biosynthesis genes at B4 stage. A total of 12 hub-DElncRNAs had potential for positively affecting their distant target genes in three putative key pathways, predominantly in a co-transcriptional manner. A hypothetical model of regulatory pathways and key genes and lncRNAs during floral bud induction in longan was proposed finally. Our studies will provide valuable clues and information to help elucidate the potential molecular mechanisms of floral initiation in longan and woody fruit trees.
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Affiliation(s)
- Fan Liang
- Insititute of Genetics and Breeding in Horticultural Plants, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yiyong Zhang
- Insititute of Genetics and Breeding in Horticultural Plants, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xiaodan Wang
- Insititute of Genetics and Breeding in Horticultural Plants, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Shuo Yang
- Insititute of Genetics and Breeding in Horticultural Plants, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Ting Fang
- Insititute of Genetics and Breeding in Horticultural Plants, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Shaoquan Zheng
- Fujian Breeding Engineering Technology Research Center for Longan & Loquat, Fruit Research Institute, Fujian Academy of Agricultural Sciences, Fuzho, China
| | - Lihui Zeng
- Insititute of Genetics and Breeding in Horticultural Plants, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China
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Sharma N, Kumari S, Jaiswal DK, Raghuram N. Comparative Transcriptomic Analyses of Nitrate-Response in Rice Genotypes With Contrasting Nitrogen Use Efficiency Reveals Common and Genotype-Specific Processes, Molecular Targets and Nitrogen Use Efficiency-Candidates. FRONTIERS IN PLANT SCIENCE 2022; 13:881204. [PMID: 35774823 PMCID: PMC9237547 DOI: 10.3389/fpls.2022.881204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 04/26/2022] [Indexed: 05/05/2023]
Abstract
The genetic basis for nitrogen (N)-response and N use efficiency (NUE) must be found in N-responsive gene expression or protein regulation. Our transcriptomic analysis of nitrate response in two contrasting rice genotypes of Oryza sativa ssp. Indica (Nidhi with low NUE and Panvel1 with high NUE) revealed the processes/functions underlying differential N-response/NUE. The microarray analysis of low nitrate response (1.5 mM) relative to normal nitrate control (15 mM) used potted 21-days old whole plants. It revealed 1,327 differentially expressed genes (DEGs) exclusive to Nidhi and 666 exclusive to Panvel1, apart from 70 common DEGs, of which 10 were either oppositely expressed or regulated to different extents. Gene ontology analyses revealed that photosynthetic processes were among the very few processes common to both the genotypes in low N response. Those unique to Nidhi include cell division, nitrogen utilization, cytoskeleton, etc. in low N-response, whereas those unique to Panvel1 include signal transduction, protein import into the nucleus, and mitochondria. This trend of a few common but mostly unique categories was also true for transporters, transcription factors, microRNAs, and post-translational modifications, indicating their differential involvement in Nidhi and Panvel1. Protein-protein interaction networks constructed using DEG-associated experimentally validated interactors revealed subnetworks involved in cytoskeleton organization, cell wall, etc. in Nidhi, whereas in Panvel1, it was chloroplast development. NUE genes were identified by selecting yield-related genes from N-responsive DEGs and their co-localization on NUE-QTLs revealed the differential distribution of NUE-genes between genotypes but on the same chromosomes 1 and 3. Such hotspots are important for NUE breeders.
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Affiliation(s)
| | | | | | - Nandula Raghuram
- University School of Biotechnology, Guru Gobind Singh Indraprastha University, New Delhi, India
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Cui H, Rong W, Ma J, Zhu Q, Jiang B, Zhang L, Li C, Zhuo Z, Chen M. DNA N6-Adenine methylation in HBV-related hepatocellular carcinoma. Gene 2022; 822:146353. [PMID: 35189250 DOI: 10.1016/j.gene.2022.146353] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 01/26/2022] [Accepted: 02/15/2022] [Indexed: 12/13/2022]
Abstract
DNA methylation on N6-adenine (6mA) has recently been found to be a potential epigenetic marker in prokaryotes and eukaryotes. However, its distribution patterns and potential functions in human tumorigenesis remain largely unknown. Here, we reported global profiling of 6mA sites in the genome of hepatocellular carcinoma at single-nucleotide resolution using Nanopore sequencing. 6mA was widely distributed throughout the human genome. The 6mA sites were related to the porphyrin and chlorophyll metabolism in autosomes and were related to oxidative phosphorylation and ATP metabolism in mitochondria. AGG was the most significant motif associated with 6mA modification and the prevalent motifs in tumors were mainly distributed in mitochondria. The density of 6mA was related to the activation of gene transcription and 6mA density in repetitive sequences decreased in hepatocellular carcinoma. DNA 6mA methylation modification may also be a potential biomarker for cancer diagnosis and treatment.
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Affiliation(s)
- Hongyuan Cui
- Department of General Surgery, Department of Hepato-bilio-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730 Beijing, China; Department of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai 810001, China
| | - Weiqi Rong
- Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Ma
- Department of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai 810001, China
| | - Qing Zhu
- Department of Hepatopancreatobiliary Surgery, Affiliated Hospital of Qinghai University, Qinghai 810001, China
| | - Boyue Jiang
- Department of General Surgery, Department of Hepato-bilio-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730 Beijing, China
| | - Lili Zhang
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chang Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhongling Zhuo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
| | - Meng Chen
- National Cancer Data Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Ye X, Wang S, Zhao X, Gao N, Wang Y, Yang Y, Wu E, Jiang C, Cheng Y, Wu W, Liu S. Role of lncRNAs in cis- and trans-regulatory responses to salt in Populus trichocarpa. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 110:978-993. [PMID: 35218100 DOI: 10.1111/tpj.15714] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 02/19/2022] [Accepted: 02/22/2022] [Indexed: 06/05/2023]
Abstract
Long non-coding RNAs (lncRNAs) are emerging as versatile regulators in diverse biological processes. However, little is known about their cis- and trans-regulatory contributions in gene expression under salt stress. Using 27 RNA-seq data sets from Populus trichocarpa leaves, stems and roots, we identified 2988 high-confidence lncRNAs, including 1183 salt-induced differentially expressed lncRNAs. Among them, 301 lncRNAs have potential for positively affecting their neighboring genes, predominantly in a cis-regulatory manner rather than by co-transcription. Additionally, a co-expression network identified six striking salt-associated modules with a total of 5639 genes, including 426 lncRNAs, and in these lncRNA sequences, the DNA/RNA binding motifs are enriched. This suggests that lncRNAs might contribute to distant gene expression of the salt-associated modules in a trans-regulatory manner. Moreover, we found 30 lncRNAs that have potential to simultaneously cis- and trans-regulate salt-responsive homologous genes, and Ptlinc-NAC72, significantly induced under long-term salt stress, was selected for validating its regulation of the expression and functional roles of the homologs PtNAC72.A and PtNAC72.B (PtNAC72.A/B). The transient transformation of Ptlinc-NAC72 and a dual-luciferase assay of Ptlinc-NAC72 and PtNAC72.A/B promoters confirmed that Ptlinc-NAC72 can directly upregulate PtNAC72.A/B expression, and a presence/absence assay was further conducted to show that the regulation is probably mediated by Ptlinc-NAC72 recognizing the tandem elements (GAAAAA) in the PtNAC72.A/B 5' untranslated region (5'-UTR). Finally, the overexpression of Ptlinc-NAC72 produces a hypersensitive phenotype under salt stress. Altogether, our results shed light on the cis- and trans-regulation of gene expression by lncRNAs in Populus and provides an example of long-term salt-induced Ptlinc-NAC72 that could be used to mitigate growth costs by conferring plant resilience to salt stress.
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Affiliation(s)
- Xiaoxue Ye
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
- Key Laboratory of Saline-Alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Science, Northeast Forestry University, Harbin, 150040, China
- Institute of Tropical Biosciences and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101, China
| | - Shuo Wang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
| | - Xijuan Zhao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
| | - Ni Gao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
| | - Yao Wang
- Key Laboratory of Saline-Alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Science, Northeast Forestry University, Harbin, 150040, China
| | - Yanmei Yang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
| | - Ernest Wu
- Department of Forest & Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Cheng Jiang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
| | - Yuxiang Cheng
- State Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, China
| | - Wenwu Wu
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
| | - Shenkui Liu
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, Hangzhou, 311300, China
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Ko DK, Brandizzi F. Advanced genomics identifies growth effectors for proteotoxic ER stress recovery in Arabidopsis thaliana. Commun Biol 2022; 5:16. [PMID: 35017639 PMCID: PMC8752741 DOI: 10.1038/s42003-021-02964-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/10/2021] [Indexed: 12/20/2022] Open
Abstract
Adverse environmental and pathophysiological situations can overwhelm the biosynthetic capacity of the endoplasmic reticulum (ER), igniting a potentially lethal condition known as ER stress. ER stress hampers growth and triggers a conserved cytoprotective signaling cascade, the unfolded protein response (UPR) for ER homeostasis. As ER stress subsides, growth is resumed. Despite the pivotal role of the UPR in growth restoration, the underlying mechanisms for growth resumption are yet unknown. To discover these, we undertook a genomics approach in the model plant species Arabidopsis thaliana and mined the gene reprogramming roles of the UPR modulators, basic leucine zipper28 (bZIP28) and bZIP60, in ER stress resolution. Through a network modeling and experimental validation, we identified key genes downstream of the UPR bZIP-transcription factors (bZIP-TFs), and demonstrated their functional roles. Our analyses have set up a critical pipeline for functional gene discovery in ER stress resolution with broad applicability across multicellular eukaryotes. Ko and Brandizzi use Arabidopsis thaliana to investigate the downstream regulators of two major endoplasmic reticulum (ER) stress-related transcription factors, bZIP60 and bZIP28. Their results provide further insight on how two modulators of the unfolded protein response contribute to growth recovery from ER stress.
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Affiliation(s)
- Dae Kwan Ko
- MSU-DOE Plant Research Lab, Michigan State University, East Lansing, MI, USA.,Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA
| | - Federica Brandizzi
- MSU-DOE Plant Research Lab, Michigan State University, East Lansing, MI, USA. .,Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA. .,Department of Plant Biology, Michigan State University, East Lansing, MI, USA.
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Singh I, Parte P. Heterogeneity in the Epigenetic Landscape of Murine Testis-Specific Histone Variants TH2A and TH2B Sharing the Same Bi-Directional Promoter. Front Cell Dev Biol 2021; 9:755751. [PMID: 34938732 PMCID: PMC8685415 DOI: 10.3389/fcell.2021.755751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/25/2021] [Indexed: 01/15/2023] Open
Abstract
Testis-specific histone variants are crucial to promote open chromatin structure to enable nucleosome disassembly in the final stages of spermiogenesis. However, even after histone replacement, mature sperm retain a proportion of these variants, the function of which is unknown. The present study aimed to understand the functional relevance of the retained H2B and H2A variants, TH2B and TH2A. While no literature is available on the phenotype of TH2A knockouts, TH2B/TH2A double knockout male mice are reported to be infertile. In this study, ChIP-seq analysis was done for TH2B and TH2A to understand the epigenomics of the retained TH2B and TH2A, using murine caudal sperm. Distribution across genomic partitions revealed ∼35% of the TH2B peaks within ±5 kb of TSS whereas TH2A peaks distribution was sparse at TSS. Gene Ontology revealed embryo development as the most significant term associated with TH2B. Also, based on genomic regions, TH2B was observed to be associated with spindle assembly and various meiosis-specific genes, which is an important finding as TH2A/TH2B DKO mice have been reported to have defective cohesin release. A comparison of mouse and human TH2B-linked chromatin revealed 26% overlap between murine and human TH2B-associated genes. This overlap included genes crucial for embryogenesis. Most importantly, heterogeneity in the epigenetic landscape of TH2A and TH2B was seen, which is intriguing as TH2B and TH2A are well reported to be present in the same nucleosomes to promote open chromatin. Additionally, unlike TH2B, TH2A was enriched on the mitochondrial chromosome. TH2A was found to be associated with Nuclear insertion of Mitochondrial DNA sequences (NUMTs) in sperm. A comprehensive analysis of these observations indicates novel functions for the sperm-retained TH2B and TH2A.
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Affiliation(s)
- Isha Singh
- Department of Gamete Immunobiology, ICMR-National Institute for Research in Reproductive Health, Mumbai, India
| | - Priyanka Parte
- Department of Gamete Immunobiology, ICMR-National Institute for Research in Reproductive Health, Mumbai, India
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Liu X, Chen J, Li J, Zeng Z, Jiang X, Gao Y, Huang Z, Wu Q, Gong Y, Xie C. Comprehensive analysis reveals common DNA methylation patterns of tobacco-associated cancers: A pan-cancer analysis. Gene 2021; 804:145900. [PMID: 34400279 DOI: 10.1016/j.gene.2021.145900] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 08/06/2021] [Accepted: 08/11/2021] [Indexed: 12/14/2022]
Abstract
The role of tobacco in carcinogenesis has received increasing attention across a number of disciplines in recent years. Accumulating evidences reveal that tobacco consumption affects various epigenetic modifications, especially DNA methylation. However, the genetic modifications of methylation patterns involved in tobacco-attributable cancers remain poorly understood. In this manuscript, aberrant DNA methylation patterns were investigated in 9 tobacco-attributable cancers. Differential methylated probes (DMPs) were identified in each cancer type and a total of 2,392 hyper- and 736 hypomethylated pan-cancer DMPs (PDMPs) were screened out for further analysis. PDMP-associated genes were mostly enriched in metabolism-associated pathways, suggesting the potential roles of methylation alternation in reprogramming cancer cell metabolism. Hypomethylated PDMPs cg12422154, cg02772121 and cg06051311 constituted an enhancer region, significantly downregulating TRIM15, TRIM26 and RPP21, which serve as epigenetically therapeutic biomarkers. Forty-three hypermethylated and 13 hypomethylated transcription factor motifs were clustered into 6 groups, and exhibited various biological functions. Forty-nine PDMPs were reported to be associated with prognosis, providing effective tools to predict clinical outcomes. In summary, our studies revealed the characteristics, influences and potential mechanisms of DNA methylation patterns of tobacco-attributable cancer.
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Affiliation(s)
- Xingyu Liu
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jiarui Chen
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jiali Li
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zihang Zeng
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xueping Jiang
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yanping Gao
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhengrong Huang
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China; Tumor Precision Diagnosis and Treatment Technology and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Qiuji Wu
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yan Gong
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China; Tumor Precision Diagnosis and Treatment Technology and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
| | - Conghua Xie
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
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Raj V, Natarajan S, C M, Chatterjee S, Ramasamy M, Ramanujam GM, Arasu MV, Al-Dhabi NA, Choi KC, Arockiaraj J, Karuppiah K. Cholecalciferol and metformin protect against lipopolysaccharide-induced endothelial dysfunction and senescence by modulating sirtuin-1 and protein arginine methyltransferase-1. Eur J Pharmacol 2021; 912:174531. [PMID: 34710370 DOI: 10.1016/j.ejphar.2021.174531] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/14/2021] [Accepted: 09/27/2021] [Indexed: 01/07/2023]
Abstract
Endothelial cell activation through nuclear factor-kappa-B (NFkB) and mitogen-activated protein kinases leads to increased biosynthesis of pro-inflammatory mediators, cellular injury and vascular inflammation under lipopolysaccharide (LPS) exposure. Recent studies report that LPS up-regulated global methyltransferase activity. In this study, we observed that a combination treatment with metformin (MET) and cholecalciferol (VD) blocked the LPS-induced S-adenosylmethionine (SAM)-dependent methyltransferase (SDM) activity in Eahy926 cells. We found that LPS challenge (i) increased arginine methylation through up-regulated protein arginine methyltransferase-1 (PRMT1) mRNA, intracellular concentrations of asymmetric dimethylarginine (ADMA) and homocysteine (HCY); (ii) up-regulated cell senescence through mitigated sirtuin-1 (SIRT1) mRNA, nicotinamide adenine dinucleotide (NAD+) concentration, telomerase activity and total antioxidant capacity; and (iii) lead to endothelial dysfunction through compromised nitric oxide (NOx) production. However, these LPS-mediated cellular events in Eahy926 cells were restored by the synergistic effect of MET and VD. Taken together, this study identified that the dual compound effect inhibits LPS-induced protein arginine methylation, endothelial senescence and dysfunction through the components of epigenetic machinery, SIRT1 and PRMT1, which is a previously unidentified function of the test compounds. In silico results identified the presence of vitamin D response element (VDRE) sequence on PRMT1 suggesting that VDR could regulate PRMT1 gene expression. Further characterization of the cellular events associated with the dual compound challenge, using gene silencing approach or adenoviral constructs for SIRT1 and/or PRMT1 under inflammatory stress, could identify therapeutic strategies to address the endothelial consequences in vascular inflammation-mediated atherosclerosis.
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Affiliation(s)
- Vijay Raj
- Department of Medical Research, Medical College Hospital & Research Center, SRM Institute of Science and Technology, Kattankulathur, 603202, India
| | - Suganya Natarajan
- AU-KBC Research Centre, Madras Institute of Technology, Anna University, Chennai, 600025, India
| | - Marimuthu C
- Gleneagles Global Health City, Chennai, 600100, India
| | - Suvro Chatterjee
- AU-KBC Research Centre, Madras Institute of Technology, Anna University, Chennai, 600025, India
| | - Mohankumar Ramasamy
- Interdisciplinary Institute of Indian System of Medicine, SRM Institute of Science and Technology, Kattankulathur, 603202, India
| | - Ganesh Munuswamy Ramanujam
- Interdisciplinary Institute of Indian System of Medicine, SRM Institute of Science and Technology, Kattankulathur, 603202, India
| | - Mariadhas Valan Arasu
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Naif Abdullah Al-Dhabi
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Ki Choon Choi
- Grassland and Forage Division, National Institute of Animal Science, RDA, Seonghwan-Eup, Cheonan-Si, Chungnam, 330-801, Republic of Korea
| | - Jesu Arockiaraj
- SRM Research Institute, SRM Institute of Science and Technology, Kattankulathur, 603202, India; Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Humanities, Kattankulathur 603203, Chennai, Tamil Nadu, India
| | - Kanchana Karuppiah
- Department of Medical Research, Medical College Hospital & Research Center, SRM Institute of Science and Technology, Kattankulathur, 603202, India.
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Ren Y, Huo Y, Li W, He M, Liu S, Yang J, Zhao H, Xu L, Guo Y, Si Y, Zhao H, Rao S, Wang J, Ma Y, Wang X, Yu J, Wang F. A global screening identifies chromatin-enriched RNA-binding proteins and the transcriptional regulatory activity of QKI5 during monocytic differentiation. Genome Biol 2021; 22:290. [PMID: 34649616 PMCID: PMC8518180 DOI: 10.1186/s13059-021-02508-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 09/30/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Cellular RNA-binding proteins (RBPs) have multiple roles in post-transcriptional control, and some are shown to bind DNA. However, the global localization and the general chromatin-binding ability of RBPs are not well-characterized and remain undefined in hematopoietic cells. RESULTS We first provide a full view of RBPs' distribution pattern in the nucleus and screen for chromatin-enriched RBPs (Che-RBPs) in different human cells. Subsequently, by generating ChIP-seq, CLIP-seq, and RNA-seq datasets and conducting combined analysis, the transcriptional regulatory potentials of certain hematopoietic Che-RBPs are predicted. From this analysis, quaking (QKI5) emerges as a potential transcriptional activator during monocytic differentiation. QKI5 is over-represented in gene promoter regions, independent of RNA or transcription factors. Furthermore, DNA-bound QKI5 activates the transcription of several critical monocytic differentiation-associated genes, including CXCL2, IL16, and PTPN6. Finally, we show that the differentiation-promoting activity of QKI5 is largely dependent on CXCL2, irrespective of its RNA-binding capacity. CONCLUSIONS Our study indicates that Che-RBPs are versatile factors that orchestrate gene expression in different cellular contexts, and identifies QKI5, a classic RBP regulating RNA processing, as a novel transcriptional activator during monocytic differentiation.
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Affiliation(s)
- Yue Ren
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Yue Huo
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Weiqian Li
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Manman He
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Siqi Liu
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Jiabin Yang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Hongmei Zhao
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
- Department of Pathophysiology, State Key Laboratory of Medical Molecular Biology, Peking Union Medical College, Beijing, 100005, China
| | - Lingjie Xu
- Emergency Department of West China Hospital, Sichuan University, Chengdu, 610014, China
| | - Yuehong Guo
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Yanmin Si
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Hualu Zhao
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Shuan Rao
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Jing Wang
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
- Department of Pathophysiology, State Key Laboratory of Medical Molecular Biology, Peking Union Medical College, Beijing, 100005, China
| | - Yanni Ma
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Xiaoshuang Wang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China.
| | - Jia Yu
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China.
- Medical Epigenetic Research Center, Chinese Academy of Medical Sciences, Beijing, 100005, China.
| | - Fang Wang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
- Key Laboratory of RNA and Hematopoietic Regulation, Chinese Academy of Medical Sciences, Beijing, 100005, China.
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Nystrom SL, McKay DJ. Memes: A motif analysis environment in R using tools from the MEME Suite. PLoS Comput Biol 2021; 17:e1008991. [PMID: 34570758 PMCID: PMC8496816 DOI: 10.1371/journal.pcbi.1008991] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 10/07/2021] [Accepted: 09/10/2021] [Indexed: 11/18/2022] Open
Abstract
Identification of biopolymer motifs represents a key step in the analysis of biological sequences. The MEME Suite is a widely used toolkit for comprehensive analysis of biopolymer motifs; however, these tools are poorly integrated within popular analysis frameworks like the R/Bioconductor project, creating barriers to their use. Here we present memes, an R package that provides a seamless R interface to a selection of popular MEME Suite tools. memes provides a novel “data aware” interface to these tools, enabling rapid and complex discriminative motif analysis workflows. In addition to interfacing with popular MEME Suite tools, memes leverages existing R/Bioconductor data structures to store the multidimensional data returned by MEME Suite tools for rapid data access and manipulation. Finally, memes provides data visualization capabilities to facilitate communication of results. memes is available as a Bioconductor package at https://bioconductor.org/packages/memes, and the source code can be found at github.com/snystrom/memes. Biologically active molecules such as DNA, RNA, and proteins are polymers composed of repeated subunits. For example, nucleotides are the subunits of DNA and RNA, and amino acids are the subunits of proteins. Functional properties of biopolymers are determined by short, recurring stretches of subunits known as motifs. Motifs can serve as binding sites between molecules, they can influence the structure of molecules, and they can contribute to enzymatic activities. For these reasons, motif analysis has become a key step in determining the function of biopolymers and in elucidating their roles in biological networks. The MEME Suite is a widely used compilation of tools used for identifying and analyzing motifs found in biological sequences. Here, we describe a new piece of software named “memes” that connects MEME Suite tools to R, the statistical analysis environment. By providing an interface between the MEME Suite and R, memes allows for improved motif analysis workflows and easy access to a wide range of existing data visualization tools, further expanding the utility of MEME Suite tools.
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Affiliation(s)
- Spencer L. Nystrom
- Curriculum in Genetics and Molecular Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Integrative Program for Biological and Genome Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Daniel J. McKay
- Department of Biology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Integrative Program for Biological and Genome Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- * E-mail:
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48
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Hebdon SD, Gerritsen AT, Chen YP, Marcano JG, Chou KJ. Genome-Wide Transcription Factor DNA Binding Sites and Gene Regulatory Networks in Clostridium thermocellum. Front Microbiol 2021; 12:695517. [PMID: 34566906 PMCID: PMC8457756 DOI: 10.3389/fmicb.2021.695517] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 07/27/2021] [Indexed: 12/02/2022] Open
Abstract
Clostridium thermocellum is a thermophilic bacterium recognized for its natural ability to effectively deconstruct cellulosic biomass. While there is a large body of studies on the genetic engineering of this bacterium and its physiology to-date, there is limited knowledge in the transcriptional regulation in this organism and thermophilic bacteria in general. The study herein is the first report of a large-scale application of DNA-affinity purification sequencing (DAP-seq) to transcription factors (TFs) from a bacterium. We applied DAP-seq to > 90 TFs in C. thermocellum and detected genome-wide binding sites for 11 of them. We then compiled and aligned DNA binding sequences from these TFs to deduce the primary DNA-binding sequence motifs for each TF. These binding motifs are further validated with electrophoretic mobility shift assay (EMSA) and are used to identify individual TFs’ regulatory targets in C. thermocellum. Our results led to the discovery of novel, uncharacterized TFs as well as homologues of previously studied TFs including RexA-, LexA-, and LacI-type TFs. We then used these data to reconstruct gene regulatory networks for the 11 TFs individually, which resulted in a global network encompassing the TFs with some interconnections. As gene regulation governs and constrains how bacteria behave, our findings shed light on the roles of TFs delineated by their regulons, and potentially provides a means to enable rational, advanced genetic engineering of C. thermocellum and other organisms alike toward a desired phenotype.
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Affiliation(s)
- Skyler D Hebdon
- Biosciences Center, National Renewable Energy Laboratory, Golden, CO, United States
| | - Alida T Gerritsen
- Computational Sciences Center, National Renewable Energy Laboratory, Golden, CO, United States
| | - Yi-Pei Chen
- Biosciences Center, National Renewable Energy Laboratory, Golden, CO, United States
| | - Joan G Marcano
- Biosciences Center, National Renewable Energy Laboratory, Golden, CO, United States
| | - Katherine J Chou
- Biosciences Center, National Renewable Energy Laboratory, Golden, CO, United States
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Edgar L, Akbar N, Braithwaite AT, Krausgruber T, Gallart-Ayala H, Bailey J, Corbin AL, Khoyratty TE, Chai JT, Alkhalil M, Rendeiro AF, Ziberna K, Arya R, Cahill TJ, Bock C, Laurencikiene J, Crabtree MJ, Lemieux ME, Riksen NP, Netea MG, Wheelock CE, Channon KM, Rydén M, Udalova IA, Carnicer R, Choudhury RP. Hyperglycemia Induces Trained Immunity in Macrophages and Their Precursors and Promotes Atherosclerosis. Circulation 2021; 144:961-982. [PMID: 34255973 PMCID: PMC8448412 DOI: 10.1161/circulationaha.120.046464] [Citation(s) in RCA: 114] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/23/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Cardiovascular risk in diabetes remains elevated despite glucose-lowering therapies. We hypothesized that hyperglycemia induces trained immunity in macrophages, promoting persistent proatherogenic characteristics. METHODS Bone marrow-derived macrophages from control mice and mice with diabetes were grown in physiological glucose (5 mmol/L) and subjected to RNA sequencing (n=6), assay for transposase accessible chromatin sequencing (n=6), and chromatin immunoprecipitation sequencing (n=6) for determination of hyperglycemia-induced trained immunity. Bone marrow transplantation from mice with (n=9) or without (n=6) diabetes into (normoglycemic) Ldlr-/- mice was used to assess its functional significance in vivo. Evidence of hyperglycemia-induced trained immunity was sought in human peripheral blood mononuclear cells from patients with diabetes (n=8) compared with control subjects (n=16) and in human atherosclerotic plaque macrophages excised by laser capture microdissection. RESULTS In macrophages, high extracellular glucose promoted proinflammatory gene expression and proatherogenic functional characteristics through glycolysis-dependent mechanisms. Bone marrow-derived macrophages from diabetic mice retained these characteristics, even when cultured in physiological glucose, indicating hyperglycemia-induced trained immunity. Bone marrow transplantation from diabetic mice into (normoglycemic) Ldlr-/- mice increased aortic root atherosclerosis, confirming a disease-relevant and persistent form of trained innate immunity. Integrated assay for transposase accessible chromatin, chromatin immunoprecipitation, and RNA sequencing analyses of hematopoietic stem cells and bone marrow-derived macrophages revealed a proinflammatory priming effect in diabetes. The pattern of open chromatin implicated transcription factor Runt-related transcription factor 1 (Runx1). Similarly, transcriptomes of atherosclerotic plaque macrophages and peripheral leukocytes in patients with type 2 diabetes were enriched for Runx1 targets, consistent with a potential role in human disease. Pharmacological inhibition of Runx1 in vitro inhibited the trained phenotype. CONCLUSIONS Hyperglycemia-induced trained immunity may explain why targeting elevated glucose is ineffective in reducing macrovascular risk in diabetes and suggests new targets for disease prevention and therapy.
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Affiliation(s)
- Laurienne Edgar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Naveed Akbar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Adam T. Braithwaite
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Thomas Krausgruber
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria (T.K., A.F.R., C.B.)
| | - Héctor Gallart-Ayala
- Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden (H.G.-A., C.E.W.)
- Department of Respiratory Medicine and Allergy (H.G.-A., C.E.W.), Karolinska University Hospital, Stockholm, Sweden
| | - Jade Bailey
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Alastair L. Corbin
- The Kennedy Institute of Rheumatology, University of Oxford, UK (A.L.C., T.E.K., I.A.U.)
| | - Tariq E. Khoyratty
- The Kennedy Institute of Rheumatology, University of Oxford, UK (A.L.C., T.E.K., I.A.U.)
| | - Joshua T. Chai
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Mohammad Alkhalil
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - André F. Rendeiro
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria (T.K., A.F.R., C.B.)
| | - Klemen Ziberna
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Ritu Arya
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Thomas J. Cahill
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria (T.K., A.F.R., C.B.)
- Institute of Artificial Intelligence and Decision Support, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Austria (C.B.)
| | - Jurga Laurencikiene
- Department of Medicine (H7) (J.L., M.R.), Karolinska University Hospital, Stockholm, Sweden
| | - Mark J. Crabtree
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | | | - Niels P. Riksen
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands (N.P.R.., M.G.N.)
| | - Mihai G. Netea
- Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands (N.P.R.., M.G.N.)
- Department for Genomics & Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn, Germany (M.G.N.)
| | - Craig E. Wheelock
- Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden (H.G.-A., C.E.W.)
- Department of Respiratory Medicine and Allergy (H.G.-A., C.E.W.), Karolinska University Hospital, Stockholm, Sweden
| | - Keith M. Channon
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Mikael Rydén
- Department of Medicine (H7) (J.L., M.R.), Karolinska University Hospital, Stockholm, Sweden
| | - Irina A. Udalova
- The Kennedy Institute of Rheumatology, University of Oxford, UK (A.L.C., T.E.K., I.A.U.)
| | - Ricardo Carnicer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
| | - Robin P. Choudhury
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (L.E., N.A., A.T.B., J.B., J.T.C., M.A., K.Z., R.A., T.J.C., M.J.C., K.M.C., R.C., R.P.C.)
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Jakovlić I, Zou H, Zhao XM, Zhang J, Wang GT, Zhang D. Evolutionary History of Inversions in Directional Mutational Pressures in Crustacean Mitochondrial Genomes: Implications for Evolutionary Studies. Mol Phylogenet Evol 2021; 164:107288. [PMID: 34365015 DOI: 10.1016/j.ympev.2021.107288] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/31/2021] [Accepted: 08/03/2021] [Indexed: 01/29/2023]
Abstract
Inversions of the origin of replication (ORI) in mitochondrial genomes produce asymmetrical mutational pressures that can cause strong base composition skews. Due to skews often being overlooked, the total number of crustacean lineages that underwent ORI events remains unknown. We analysed skews, cumulative skew plots, conserved sequence motifs, and mitochondrial architecture of all 965 available crustacean mitogenomes (699 unique species). We found indications of an ORI in 159 (22.7%) species, and mapped these to 23 ORI events: 16 identified with confidence and 7 putative (13 newly proposed, and for 5 we improved the resolution). Two ORIs occurred at or above the order level: Isopoda and Copepoda. Shifts in skew plots are not a precise tool for identifying the replication mechanism. We discuss how ORIs can produce mutational bursts in mitogenomes and show how these can interfere with various types of evolutionary studies. Phylogenetic analyses were plagued by artefactual clustering, and ORI lineages exhibited longer branches, a higher number of synonymous substitutions, higher mutational saturation, and higher compositional heterogeneity. ORI events also affected codon usage and protein properties. We discuss how this may have caused erroneous interpretation of data in previous studies that did not account for skew patterns.
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Affiliation(s)
- Ivan Jakovlić
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology, Lanzhou University, 730000 Lanzhou, China
| | - Hong Zou
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, and State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Xu-Mao Zhao
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology, Lanzhou University, 730000 Lanzhou, China
| | - Jin Zhang
- Bio-Transduction Lab, Wuhan 430075, China
| | - Gui-Tang Wang
- Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, and State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dong Zhang
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology, Lanzhou University, 730000 Lanzhou, China.
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