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Du AY, Chobirko JD, Zhuo X, Feschotte C, Wang T. Regulatory transposable elements in the encyclopedia of DNA elements. Nat Commun 2024; 15:7594. [PMID: 39217141 PMCID: PMC11366022 DOI: 10.1038/s41467-024-51921-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 08/16/2024] [Indexed: 09/04/2024] Open
Abstract
Transposable elements (TEs) comprise ~50% of our genome, but knowledge of how TEs affect genome evolution remains incomplete. Leveraging ENCODE4 data, we provide the most comprehensive study to date of TE contributions to the regulatory genome. We find 236,181 (~25%) human candidate cis-regulatory elements (cCREs) are TE-derived, with over 90% lineage-specific since the human-mouse split, accounting for 8-36% of lineage-specific cCREs. Except for SINEs, cCRE-associated transcription factor (TF) motifs in TEs are derived from ancestral TE sequence more than expected by chance. We show that TEs may adopt similar regulatory activities of elements near their integration site. Since human-mouse divergence, TEs have contributed 3-56% of TF binding site turnover events across 30 examined TFs. Finally, TE-derived cCREs are similar to non-TE cCREs in terms of MPRA activity and GWAS variant enrichment. Overall, our results substantiate the notion that TEs have played an important role in shaping the human regulatory genome.
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Affiliation(s)
- Alan Y Du
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jason D Chobirko
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Xiaoyu Zhuo
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Cédric Feschotte
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.
| | - Ting Wang
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
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2
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Xiang G, He X, Giardine BM, Isaac KJ, Taylor DJ, McCoy RC, Jansen C, Keller CA, Wixom AQ, Cockburn A, Miller A, Qi Q, He Y, Li Y, Lichtenberg J, Heuston EF, Anderson SM, Luan J, Vermunt MW, Yue F, Sauria MEG, Schatz MC, Taylor J, Göttgens B, Hughes JR, Higgs DR, Weiss MJ, Cheng Y, Blobel GA, Bodine DM, Zhang Y, Li Q, Mahony S, Hardison RC. Interspecies regulatory landscapes and elements revealed by novel joint systematic integration of human and mouse blood cell epigenomes. Genome Res 2024; 34:1089-1105. [PMID: 38951027 DOI: 10.1101/gr.277950.123] [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: 04/03/2023] [Accepted: 06/24/2024] [Indexed: 07/03/2024]
Abstract
Knowledge of locations and activities of cis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) using epigenetic features in one species, making comparisons difficult between species. In contrast, we conducted an interspecies study defining epigenetic states and identifying cCREs in blood cell types to generate regulatory maps that are comparable between species, using integrative modeling of eight epigenetic features jointly in human and mouse in our Validated Systematic Integration (VISION) Project. The resulting catalogs of cCREs are useful resources for further studies of gene regulation in blood cells, indicated by high overlap with known functional elements and strong enrichment for human genetic variants associated with blood cell phenotypes. The contribution of each epigenetic state in cCREs to gene regulation, inferred from a multivariate regression, was used to estimate epigenetic state regulatory potential (esRP) scores for each cCRE in each cell type, which were used to categorize dynamic changes in cCREs. Groups of cCREs displaying similar patterns of regulatory activity in human and mouse cell types, obtained by joint clustering on esRP scores, harbor distinctive transcription factor binding motifs that are similar between species. An interspecies comparison of cCREs revealed both conserved and species-specific patterns of epigenetic evolution. Finally, we show that comparisons of the epigenetic landscape between species can reveal elements with similar roles in regulation, even in the absence of genomic sequence alignment.
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Affiliation(s)
- Guanjue Xiang
- Bioinformatics and Genomics Graduate Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02215, USA
| | - Xi He
- Bioinformatics and Genomics Graduate Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Belinda M Giardine
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Kathryn J Isaac
- Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Camden Jansen
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Cheryl A Keller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Alexander Q Wixom
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - April Cockburn
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Amber Miller
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Qian Qi
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Yanghua He
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
- Department of Human Nutrition, Food and Animal Sciences, University of Hawaìi at Mānoa, Honolulu, Hawaii 96822, USA
| | - Yichao Li
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Jens Lichtenberg
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, Maryland 20892, USA
| | - Elisabeth F Heuston
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, Maryland 20892, USA
| | - Stacie M Anderson
- Flow Cytometry Core, National Human Genome Research Institute, Bethesda, Maryland 20892, USA
| | - Jing Luan
- Department of Pediatrics, Children's Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Marit W Vermunt
- Department of Pediatrics, Children's Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Feng Yue
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60611, USA
| | - Michael E G Sauria
- Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Michael C Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - James Taylor
- Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Berthold Göttgens
- Wellcome and MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, United Kingdom
| | - Jim R Hughes
- MRC Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, United Kingdom
| | - Douglas R Higgs
- MRC Weatherall Institute of Molecular Medicine, Oxford University, Oxford OX3 9DS, United Kingdom
| | - Mitchell J Weiss
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Yong Cheng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Gerd A Blobel
- Department of Pediatrics, Children's Hospital of Philadelphia, and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - David M Bodine
- Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, Maryland 20892, USA
| | - Yu Zhang
- Department of Statistics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Qunhua Li
- Department of Statistics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Center for Computational Biology and Bioinformatics, Genome Sciences Institute, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Shaun Mahony
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Center for Computational Biology and Bioinformatics, Genome Sciences Institute, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA;
- Center for Computational Biology and Bioinformatics, Genome Sciences Institute, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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3
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Oh JW, Beer MA. Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammals. Nat Commun 2024; 15:6464. [PMID: 39085231 PMCID: PMC11291912 DOI: 10.1038/s41467-024-50708-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 07/17/2024] [Indexed: 08/02/2024] Open
Abstract
Gene regulatory elements drive complex biological phenomena and their mutations are associated with common human diseases. The impacts of human regulatory variants are often tested using model organisms such as mice. However, mapping human enhancers to conserved elements in mice remains a challenge, due to both rapid enhancer evolution and limitations of current computational methods. We analyze distal enhancers across 45 matched human/mouse cell/tissue pairs from a comprehensive dataset of DNase-seq experiments, and show that while cell-specific regulatory vocabulary is conserved, enhancers evolve more rapidly than promoters and CTCF binding sites. Enhancer conservation rates vary across cell types, in part explainable by tissue specific transposable element activity. We present an improved genome alignment algorithm using gapped-kmer features, called gkm-align, and make genome wide predictions for 1,401,803 orthologous regulatory elements. We show that gkm-align discovers 23,660 novel human/mouse conserved enhancers missed by previous algorithms, with strong evidence of conserved functional activity.
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Affiliation(s)
- Jin Woo Oh
- Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michael A Beer
- Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
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4
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Nehme R, Pietiläinen O, Barrett LE. Genomic, molecular, and cellular divergence of the human brain. Trends Neurosci 2024; 47:491-505. [PMID: 38897852 DOI: 10.1016/j.tins.2024.05.009] [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: 02/29/2024] [Revised: 04/29/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024]
Abstract
While many core biological processes are conserved across species, the human brain has evolved with unique capacities. Current understanding of the neurobiological mechanisms that endow human traits as well as associated vulnerabilities remains limited. However, emerging data have illuminated species divergence in DNA elements and genome organization, in molecular, morphological, and functional features of conserved neural cell types, as well as temporal differences in brain development. Here, we summarize recent data on unique features of the human brain and their complex implications for the study and treatment of brain diseases. We also consider key outstanding questions in the field and discuss the technologies and foundational knowledge that will be required to accelerate understanding of human neurobiology.
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Affiliation(s)
- Ralda Nehme
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Olli Pietiläinen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Lindy E Barrett
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
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5
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Wang T, Ling AH, Billings SE, Hosseini DK, Vaisbuch Y, Kim GS, Atkinson PJ, Sayyid ZN, Aaron KA, Wagh D, Pham N, Scheibinger M, Zhou R, Ishiyama A, Moore LS, Maria PS, Blevins NH, Jackler RK, Alyono JC, Kveton J, Navaratnam D, Heller S, Lopez IA, Grillet N, Jan TA, Cheng AG. Single-cell transcriptomic atlas reveals increased regeneration in diseased human inner ear balance organs. Nat Commun 2024; 15:4833. [PMID: 38844821 PMCID: PMC11156867 DOI: 10.1038/s41467-024-48491-y] [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: 11/21/2022] [Accepted: 04/29/2024] [Indexed: 06/09/2024] Open
Abstract
Mammalian inner ear hair cell loss leads to permanent hearing and balance dysfunction. In contrast to the cochlea, vestibular hair cells of the murine utricle have some regenerative capacity. Whether human utricular hair cells regenerate in vivo remains unknown. Here we procured live, mature utricles from organ donors and vestibular schwannoma patients, and present a validated single-cell transcriptomic atlas at unprecedented resolution. We describe markers of 13 sensory and non-sensory cell types, with partial overlap and correlation between transcriptomes of human and mouse hair cells and supporting cells. We further uncover transcriptomes unique to hair cell precursors, which are unexpectedly 14-fold more abundant in vestibular schwannoma utricles, demonstrating the existence of ongoing regeneration in humans. Lastly, supporting cell-to-hair cell trajectory analysis revealed 5 distinct patterns of dynamic gene expression and associated pathways, including Wnt and IGF-1 signaling. Our dataset constitutes a foundational resource, accessible via a web-based interface, serving to advance knowledge of the normal and diseased human inner ear.
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Affiliation(s)
- Tian Wang
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Otolaryngology - Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, 410011, PR China
| | - Angela H Ling
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Otolaryngology - Head and Neck Surgery, Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Sara E Billings
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Davood K Hosseini
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Yona Vaisbuch
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Grace S Kim
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Patrick J Atkinson
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Zahra N Sayyid
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ksenia A Aaron
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Dhananjay Wagh
- Stanford Genomics Facility, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Nicole Pham
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Mirko Scheibinger
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ruiqi Zhou
- Department of Otolaryngology - Head and Neck Surgery, Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Akira Ishiyama
- Department of Head and Neck Surgery, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Lindsay S Moore
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Peter Santa Maria
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Nikolas H Blevins
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Robert K Jackler
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jennifer C Alyono
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - John Kveton
- Department of Surgery, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Dhasakumar Navaratnam
- Department of Surgery, Yale University School of Medicine, New Haven, CT, 06510, USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Stefan Heller
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ivan A Lopez
- Department of Head and Neck Surgery, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Nicolas Grillet
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Taha A Jan
- Department of Otolaryngology - Head and Neck Surgery, Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
| | - Alan G Cheng
- Department of Otolaryngology - Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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6
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Rimoldi M, Wang N, Zhang J, Villar D, Odom DT, Taipale J, Flicek P, Roller M. DNA methylation patterns of transcription factor binding regions characterize their functional and evolutionary contexts. Genome Biol 2024; 25:146. [PMID: 38844976 PMCID: PMC11155190 DOI: 10.1186/s13059-024-03218-6] [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: 07/21/2022] [Accepted: 03/15/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND DNA methylation is an important epigenetic modification which has numerous roles in modulating genome function. Its levels are spatially correlated across the genome, typically high in repressed regions but low in transcription factor (TF) binding sites and active regulatory regions. However, the mechanisms establishing genome-wide and TF binding site methylation patterns are still unclear. RESULTS Here we use a comparative approach to investigate the association of DNA methylation to TF binding evolution in mammals. Specifically, we experimentally profile DNA methylation and combine this with published occupancy profiles of five distinct TFs (CTCF, CEBPA, HNF4A, ONECUT1, FOXA1) in the liver of five mammalian species (human, macaque, mouse, rat, dog). TF binding sites are lowly methylated, but they often also have intermediate methylation levels. Furthermore, biding sites are influenced by the methylation status of CpGs in their wider binding regions even when CpGs are absent from the core binding motif. Employing a classification and clustering approach, we extract distinct and species-conserved patterns of DNA methylation levels at TF binding regions. CEBPA, HNF4A, ONECUT1, and FOXA1 share the same methylation patterns, while CTCF's differ. These patterns characterize alternative functions and chromatin landscapes of TF-bound regions. Leveraging our phylogenetic framework, we find DNA methylation gain upon evolutionary loss of TF occupancy, indicating coordinated evolution. Furthermore, each methylation pattern has its own evolutionary trajectory reflecting its genomic contexts. CONCLUSIONS Our epigenomic analyses indicate a role for DNA methylation in TF binding changes across species including that specific DNA methylation profiles characterize TF binding and are associated with their regulatory activity, chromatin contexts, and evolutionary trajectories.
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Affiliation(s)
- Martina Rimoldi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Ning Wang
- Department of Medical Biochemistry and Biophysics, Division of Functional Genomics and Systems Biology, Karolinska Institutet, Stockholm, SE, 141 83, Sweden
| | - Jilin Zhang
- Department of Medical Biochemistry and Biophysics, Division of Functional Genomics and Systems Biology, Karolinska Institutet, Stockholm, SE, 141 83, Sweden
| | - Diego Villar
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, 0RE, CB2, UK
- Present Address Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK
| | - Duncan T Odom
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge, 0RE, CB2, UK
- Present address Division of Regulatory Genomics and Cancer Evolution, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Germany
| | - Jussi Taipale
- Department of Medical Biochemistry and Biophysics, Division of Functional Genomics and Systems Biology, Karolinska Institutet, Stockholm, SE, 141 83, Sweden
- Applied Tumor Genomics Research Program, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Biochemistry, University of Cambridge, Cambridge, CB2 1GA, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
- Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK.
| | - Maša Roller
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
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7
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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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8
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Charrier A, Ockunzzi J, Main L, Ghanta SV, Buchner DA. Molecular regulation of PPARγ/RXRα signaling by the novel cofactor ZFP407. PLoS One 2024; 19:e0294003. [PMID: 38781157 PMCID: PMC11115250 DOI: 10.1371/journal.pone.0294003] [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: 10/23/2023] [Accepted: 02/20/2024] [Indexed: 05/25/2024] Open
Abstract
Cofactors interacting with PPARγ can regulate adipogenesis and adipocyte metabolism by modulating the transcriptional activity and selectivity of PPARγ signaling. ZFP407 was previously demonstrated to regulate PPARγ target genes such as GLUT4, and its overexpression improved glucose homeostasis in mice. Here, using a series of molecular assays, including protein-interaction studies, mutagenesis, and ChIP-seq, ZFP407 was found to interact with the PPARγ/RXRα protein complex in the nucleus of adipocytes. Consistent with this observation, ZFP407 ChIP-seq peaks significantly overlapped with PPARγ ChIP-seq peaks, with more than half of ZFP407 peaks overlapping with PPARγ peaks. Transcription factor binding motifs enriched in these overlapping sites included CTCF, RARα/RXRγ, TP73, and ELK1, which regulate cellular development and function within adipocytes. Site-directed mutagenesis of frequent PPARγ phosphorylation or SUMOylation sites did not prevent its regulation by ZFP407, while mutagenesis of ZFP407 domains potentially necessary for RXR and PPARγ binding abrogated any impact of ZFP407 on PPARγ activity. These data suggest that ZFP407 controls the activity of PPARγ, but does so independently of post-translational modifications, likely by direct binding, establishing ZFP407 as a newly identified PPARγ cofactor. In addition, ZFP407 ChIP-seq analyses identified regions that did not overlap with PPARγ peaks. These non-overlapping peaks were significantly enriched for the transcription factor binding motifs of TBX19, PAX8, HSF4, and ZKSCAN3, which may contribute to the PPARγ-independent functions of ZFP407 in adipocytes and other cell types.
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Affiliation(s)
- Alyssa Charrier
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Jeremiah Ockunzzi
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Leighanne Main
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Siddharth V. Ghanta
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - David A. Buchner
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
- Department of Biochemistry, Case Western Reserve University, Cleveland, Ohio, United States of America
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9
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Xiang G, He X, Giardine BM, Isaac KJ, Taylor DJ, McCoy RC, Jansen C, Keller CA, Wixom AQ, Cockburn A, Miller A, Qi Q, He Y, Li Y, Lichtenberg J, Heuston EF, Anderson SM, Luan J, Vermunt MW, Yue F, Sauria MEG, Schatz MC, Taylor J, Gottgens B, Hughes JR, Higgs DR, Weiss MJ, Cheng Y, Blobel GA, Bodine DM, Zhang Y, Li Q, Mahony S, Hardison RC. Interspecies regulatory landscapes and elements revealed by novel joint systematic integration of human and mouse blood cell epigenomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.04.02.535219. [PMID: 37066352 PMCID: PMC10103973 DOI: 10.1101/2023.04.02.535219] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Knowledge of locations and activities of cis-regulatory elements (CREs) is needed to decipher basic mechanisms of gene regulation and to understand the impact of genetic variants on complex traits. Previous studies identified candidate CREs (cCREs) using epigenetic features in one species, making comparisons difficult between species. In contrast, we conducted an interspecies study defining epigenetic states and identifying cCREs in blood cell types to generate regulatory maps that are comparable between species, using integrative modeling of eight epigenetic features jointly in human and mouse in our Validated Systematic Integration (VISION) Project. The resulting catalogs of cCREs are useful resources for further studies of gene regulation in blood cells, indicated by high overlap with known functional elements and strong enrichment for human genetic variants associated with blood cell phenotypes. The contribution of each epigenetic state in cCREs to gene regulation, inferred from a multivariate regression, was used to estimate epigenetic state Regulatory Potential (esRP) scores for each cCRE in each cell type, which were used to categorize dynamic changes in cCREs. Groups of cCREs displaying similar patterns of regulatory activity in human and mouse cell types, obtained by joint clustering on esRP scores, harbored distinctive transcription factor binding motifs that were similar between species. An interspecies comparison of cCREs revealed both conserved and species-specific patterns of epigenetic evolution. Finally, we showed that comparisons of the epigenetic landscape between species can reveal elements with similar roles in regulation, even in the absence of genomic sequence alignment.
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10
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Khashei Varnamkhasti K, Moghanibashi M, Naeimi S. Implications of ZNF334 gene in lymph node metastasis of lung SCC: potential bypassing of cellular senescence. J Transl Med 2024; 22:372. [PMID: 38637790 PMCID: PMC11025273 DOI: 10.1186/s12967-024-05115-9] [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: 11/01/2023] [Accepted: 03/20/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND The primary goal of this work is to identify biomarkers associated with lung squamous cell carcinoma and assess their potential for early detection of lymph node metastasis. METHODS This study investigated gene expression in lymph node metastasis of lung squamous cell carcinoma using data from the Cancer Genome Atlas and R software. Protein-protein interaction networks, hub genes, and enriched pathways were analyzed. ZNF334 and TINAGL1, two less explored genes, were further examined through in vitro, ex vivo, and in vivo experiments to validate the findings from bioinformatics analyses. The role of ZNF334 and TINAGL1 in senescence induction was assessed after H2O2 and UV induced senescence phenotype determined using β-galactosidase activity and cell cycle status assay. RESULTS We identified a total of 611 up- and 339 down-regulated lung squamous cell carcinoma lymph node metastasis-associated genes (FDR < 0.05). Pathway enrichment analysis highlighted the central respiratory pathway within mitochondria for the subnet genes and the nuclear DNA-directed RNA polymerases for the hub genes. Significantly down regulation of ZNF334 gene was associated with malignancy lymph node progression and senescence induction has significantly altered ZNF334 expression (with consistency in bioinformatics, in vitro, ex vivo, and in vivo results). Deregulation of TINAGL1 expression with inconsistency in bioinformatics, in vitro (different types of lung squamous cancer cell lines), ex vivo, and in vivo results, was also associated with malignancy lymph node progression and altered in senescence phenotype. CONCLUSIONS ZNF334 is a highly generalizable gene to lymph node metastasis of lung squamous cell carcinoma and its expression alter certainly under senescence conditions.
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Affiliation(s)
| | - Mehdi Moghanibashi
- Department of Genetics, Faculty of Medicine, Kazerun Branch, Islamic Azad University, Kazerun, Iran.
| | - Sirous Naeimi
- Department of Genetics, Faculty of Basic Sciences, Kazerun Branch, Islamic Azad University, Kazerun, Iran
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11
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Mañes-García J, Marco-Ferreres R, Beccari L. Shaping gene expression and its evolution by chromatin architecture and enhancer activity. Curr Top Dev Biol 2024; 159:406-437. [PMID: 38729683 DOI: 10.1016/bs.ctdb.2024.01.001] [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] [Indexed: 05/12/2024]
Abstract
Transcriptional regulation plays a pivotal role in orchestrating the intricate genetic programs governing embryonic development. The expression of developmental genes relies on the combined activity of several cis-regulatory elements (CREs), such as enhancers and silencers, which can be located at long linear distances from the genes that they regulate and that interact with them through establishment of chromatin loops. Mutations affecting their activity or interaction with their target genes can lead to developmental disorders and are thought to have importantly contributed to the evolution of the animal body plan. The income of next-generation-sequencing approaches has allowed identifying over a million of sequences with putative regulatory potential in the human genome. Characterizing their function and establishing gene-CREs maps is essential to decode the logic governing developmental gene expression and is one of the major challenges of the post-genomic era. Chromatin 3D organization plays an essential role in determining how CREs specifically contact their target genes while avoiding deleterious off-target interactions. Our understanding of these aspects has greatly advanced with the income of chromatin conformation capture techniques and fluorescence microscopy approaches to visualize the organization of DNA elements in the nucleus. Here we will summarize relevant aspects of how the interplay between CRE activity and chromatin 3D organization regulates developmental gene expression and how it relates to pathological conditions and the evolution of animal body plan.
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Affiliation(s)
| | | | - Leonardo Beccari
- Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Madrid, Spain.
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12
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Li YR, Lyu Z, Tian Y, Fang Y, Zhu Y, Chen Y, Yang L. Advancements in CRISPR screens for the development of cancer immunotherapy strategies. Mol Ther Oncolytics 2023; 31:100733. [PMID: 37876793 PMCID: PMC10591018 DOI: 10.1016/j.omto.2023.100733] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2023] Open
Abstract
CRISPR screen technology enables systematic and scalable interrogation of gene function by using the CRISPR-Cas9 system to perturb gene expression. In the field of cancer immunotherapy, this technology has empowered the discovery of genes, biomarkers, and pathways that regulate tumor development and progression, immune reactivity, and the effectiveness of immunotherapeutic interventions. By conducting large-scale genetic screens, researchers have successfully identified novel targets to impede tumor growth, enhance anti-tumor immune responses, and surmount immunosuppression within the tumor microenvironment (TME). Here, we present an overview of CRISPR screens conducted in tumor cells for the purpose of identifying novel therapeutic targets. We also explore the application of CRISPR screens in immune cells to propel the advancement of cell-based therapies, encompassing T cells, natural killer cells, dendritic cells, and macrophages. Furthermore, we outline the crucial components necessary for the successful implementation of immune-specific CRISPR screens and explore potential directions for future research.
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Affiliation(s)
- Yan-Ruide Li
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Zibai Lyu
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yanxin Tian
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Ying Fang
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yichen Zhu
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yuning Chen
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Lili Yang
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
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13
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Zemke NR, Armand EJ, Wang W, Lee S, Zhou J, Li YE, Liu H, Tian W, Nery JR, Castanon RG, Bartlett A, Osteen JK, Li D, Zhuo X, Xu V, Chang L, Dong K, Indralingam HS, Rink JA, Xie Y, Miller M, Krienen FM, Zhang Q, Taskin N, Ting J, Feng G, McCarroll SA, Callaway EM, Wang T, Lein ES, Behrens MM, Ecker JR, Ren B. Conserved and divergent gene regulatory programs of the mammalian neocortex. Nature 2023; 624:390-402. [PMID: 38092918 PMCID: PMC10719095 DOI: 10.1038/s41586-023-06819-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 11/01/2023] [Indexed: 12/17/2023]
Abstract
Divergence of cis-regulatory elements drives species-specific traits1, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains unclear. Here we investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset and mouse using single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome and chromosomal conformation profiles from a total of over 200,000 cells. From these data, we show evidence that divergence of transcription factor expression corresponds to species-specific epigenome landscapes. We find that conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome. Transposable elements contribute to nearly 80% of the human-specific candidate cis-regulatory elements in cortical cells. Through machine learning, we develop sequence-based predictors of candidate cis-regulatory elements in different species and demonstrate that the genomic regulatory syntax is highly preserved from rodents to primates. Finally, we show that epigenetic conservation combined with sequence similarity helps to uncover functional cis-regulatory elements and enhances our ability to interpret genetic variants contributing to neurological disease and traits.
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Affiliation(s)
- Nathan R Zemke
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Ethan J Armand
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA
| | - Wenliang Wang
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Seoyeon Lee
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Jingtian Zhou
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, USA
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Yang Eric Li
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Hanqing Liu
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Wei Tian
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Nery
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Rosa G Castanon
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Anna Bartlett
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Julia K Osteen
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Daofeng Li
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Xiaoyu Zhuo
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Vincent Xu
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
| | - Lei Chang
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Keyi Dong
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Hannah S Indralingam
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Jonathan A Rink
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Yang Xie
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Michael Miller
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA
| | - Fenna M Krienen
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Department of Genetics, Harvard Medical School, Boston, USA
| | - Qiangge Zhang
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Naz Taskin
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Guoping Feng
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Steven A McCarroll
- Department of Genetics, Harvard Medical School, Boston, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Edward M Callaway
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Ting Wang
- Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - M Margarita Behrens
- Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Joseph R Ecker
- Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Bing Ren
- Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
- Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA, USA.
- Institute of Genomic Medicine, Moores Cancer Center, School of Medicine, University of California San Diego, La Jolla, CA, USA.
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14
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Tan J, Shenker-Tauris N, Rodriguez-Hernaez J, Wang E, Sakellaropoulos T, Boccalatte F, Thandapani P, Skok J, Aifantis I, Fenyö D, Xia B, Tsirigos A. Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening. Nat Biotechnol 2023; 41:1140-1150. [PMID: 36624151 PMCID: PMC10329734 DOI: 10.1038/s41587-022-01612-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 11/14/2022] [Indexed: 01/11/2023]
Abstract
Investigating how chromatin organization determines cell-type-specific gene expression remains challenging. Experimental methods for measuring three-dimensional chromatin organization, such as Hi-C, are costly and have technical limitations, restricting their broad application particularly in high-throughput genetic perturbations. We present C.Origami, a multimodal deep neural network that performs de novo prediction of cell-type-specific chromatin organization using DNA sequence and two cell-type-specific genomic features-CTCF binding and chromatin accessibility. C.Origami enables in silico experiments to examine the impact of genetic changes on chromatin interactions. We further developed an in silico genetic screening approach to assess how individual DNA elements may contribute to chromatin organization and to identify putative cell-type-specific trans-acting regulators that collectively determine chromatin architecture. Applying this approach to leukemia cells and normal T cells, we demonstrate that cell-type-specific in silico genetic screening, enabled by C.Origami, can be used to systematically discover novel chromatin regulation circuits in both normal and disease-related biological systems.
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Affiliation(s)
- Jimin Tan
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, USA
| | - Nina Shenker-Tauris
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- Applied Bioinformatics Laboratories, New York University Grossman School of Medicine, New York, NY, USA
| | - Javier Rodriguez-Hernaez
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- Applied Bioinformatics Laboratories, New York University Grossman School of Medicine, New York, NY, USA
| | - Eric Wang
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- The Jackson Laboratory for Genomics Medicine, Farmington, CT, USA
| | | | - Francesco Boccalatte
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
- Department of Women's and Children's Health, University of Padua, Padua, Italy
| | - Palaniraja Thandapani
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Jane Skok
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Iannis Aifantis
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - David Fenyö
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, USA
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY, USA
| | - Bo Xia
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, USA.
- Society of Fellows, Harvard University, Cambridge, MA, USA.
- Gene Regulation Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Aristotelis Tsirigos
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA.
- Applied Bioinformatics Laboratories, New York University Grossman School of Medicine, New York, NY, USA.
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
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15
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Yang Y, Ma T, Zhang J, Tang Y, Tang M, Zou C, Zhang Y, Wu M, Hu X, Liu H, Zhang Q, Liu Y, Li H, Li JS, Liu Z, Li J, Li T, Zhou X. An integrated multi-omics analysis of identifies distinct molecular characteristics in pulmonary infections of Pseudomonas aeruginosa. PLoS Pathog 2023; 19:e1011570. [PMID: 37643174 PMCID: PMC10464988 DOI: 10.1371/journal.ppat.1011570] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 07/21/2023] [Indexed: 08/31/2023] Open
Abstract
Pseudomonas aeruginosa (P. aeruginosa) can cause severe acute infections, including pneumonia and sepsis, and cause chronic infections, commonly in patients with structural respiratory diseases. However, the molecular and pathophysiological mechanisms of P. aeruginosa respiratory infection are largely unknown. Here, we performed assays for transposase-accessible chromatin using sequencing (ATAC-seq), transcriptomics, and quantitative mass spectrometry-based proteomics and ubiquitin-proteomics in P. aeruginosa-infected lung tissues for multi-omics analysis, while ATAC-seq and transcriptomics were also examined in P. aeruginosa-infected mouse macrophages. To identify the pivotal factors that are involved in host immune defense, we integrated chromatin accessibility and gene expression to investigate molecular changes in P. aeruginosa-infected lung tissues combined with proteomics and ubiquitin-proteomics. Our multi-omics investigation discovered a significant concordance for innate immunological and inflammatory responses following P. aeruginosa infection between hosts and alveolar macrophages. Furthermore, we discovered that multi-omics changes in pioneer factors Stat1 and Stat3 play a crucial role in the immunological regulation of P. aeruginosa infection and that their downstream molecules (e.g., Fas) may be implicated in both immunosuppressive and inflammation-promoting processes. Taken together, these findings indicate that transcription factors and their downstream signaling molecules play a critical role in the mobilization and rebalancing of the host immune response against P. aeruginosa infection and may serve as potential targets for bacterial infections and inflammatory diseases, providing insights and resources for omics analyses.
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Affiliation(s)
- Yang Yang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Teng Ma
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Jun Zhang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Tang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Miao Tang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Chaoyu Zou
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yige Zhang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Mingbo Wu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xueli Hu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Huan Liu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Qianhua Zhang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yilin Liu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Hongliang Li
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Shirley Li
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Zhuochong Liu
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Taiwen Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xikun Zhou
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
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16
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Tenney AP, Di Gioia SA, Webb BD, Chan WM, de Boer E, Garnai SJ, Barry BJ, Ray T, Kosicki M, Robson CD, Zhang Z, Collins TE, Gelber A, Pratt BM, Fujiwara Y, Varshney A, Lek M, Warburton PE, Van Ryzin C, Lehky TJ, Zalewski C, King KA, Brewer CC, Thurm A, Snow J, Facio FM, Narisu N, Bonnycastle LL, Swift A, Chines PS, Bell JL, Mohan S, Whitman MC, Staffieri SE, Elder JE, Demer JL, Torres A, Rachid E, Al-Haddad C, Boustany RM, Mackey DA, Brady AF, Fenollar-Cortés M, Fradin M, Kleefstra T, Padberg GW, Raskin S, Sato MT, Orkin SH, Parker SCJ, Hadlock TA, Vissers LELM, van Bokhoven H, Jabs EW, Collins FS, Pennacchio LA, Manoli I, Engle EC. Noncoding variants alter GATA2 expression in rhombomere 4 motor neurons and cause dominant hereditary congenital facial paresis. Nat Genet 2023; 55:1149-1163. [PMID: 37386251 PMCID: PMC10335940 DOI: 10.1038/s41588-023-01424-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 05/10/2023] [Indexed: 07/01/2023]
Abstract
Hereditary congenital facial paresis type 1 (HCFP1) is an autosomal dominant disorder of absent or limited facial movement that maps to chromosome 3q21-q22 and is hypothesized to result from facial branchial motor neuron (FBMN) maldevelopment. In the present study, we report that HCFP1 results from heterozygous duplications within a neuron-specific GATA2 regulatory region that includes two enhancers and one silencer, and from noncoding single-nucleotide variants (SNVs) within the silencer. Some SNVs impair binding of NR2F1 to the silencer in vitro and in vivo and attenuate in vivo enhancer reporter expression in FBMNs. Gata2 and its effector Gata3 are essential for inner-ear efferent neuron (IEE) but not FBMN development. A humanized HCFP1 mouse model extends Gata2 expression, favors the formation of IEEs over FBMNs and is rescued by conditional loss of Gata3. These findings highlight the importance of temporal gene regulation in development and of noncoding variation in rare mendelian disease.
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Affiliation(s)
- Alan P Tenney
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
| | - Silvio Alessandro Di Gioia
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Bryn D Webb
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wai-Man Chan
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Elke de Boer
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Sarah J Garnai
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard-MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
| | - Brenda J Barry
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Tammy Ray
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael Kosicki
- Environmental Genomics & System Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Caroline D Robson
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Zhongyang Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas E Collins
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Alon Gelber
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brandon M Pratt
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yuko Fujiwara
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Arushi Varshney
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Monkol Lek
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Peter E Warburton
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Advanced Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carol Van Ryzin
- Metabolic Medicine Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Tanya J Lehky
- EMG Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - Christopher Zalewski
- Audiology Unit, Otolaryngology Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, MD, USA
| | - Kelly A King
- Audiology Unit, Otolaryngology Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, MD, USA
| | - Carmen C Brewer
- Audiology Unit, Otolaryngology Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, MD, USA
| | - Audrey Thurm
- Neurodevelopmental and Behavioral Phenotyping Service, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - Joseph Snow
- Office of the Clinical Director, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - Flavia M Facio
- Center for Precision Health Research, National Human Genome Research Institute, NIH, Bethesda, MD, USA
- Invitae Corporation, San Francisco, CA, USA
| | - Narisu Narisu
- Center for Precision Health Research, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Lori L Bonnycastle
- Center for Precision Health Research, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Amy Swift
- Center for Precision Health Research, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Peter S Chines
- Center for Precision Health Research, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Jessica L Bell
- Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Suresh Mohan
- Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Mary C Whitman
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA
- Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sandra E Staffieri
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, and University of Melbourne, Melbourne, Victoria, Australia
- Department of Ophthalmology, Royal Children's Hospital, Parkville, Victoria, Australia
| | - James E Elder
- Department of Ophthalmology, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Joseph L Demer
- Stein Eye Institute and Departments of Ophthalmology, Neurology, and Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alcy Torres
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatrics, Boston Medical Center, Boston University Aram V. Chobanian & Edward Avedisian School of Medicine, Boston, MA, USA
| | - Elza Rachid
- Department of Ophthalmology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Christiane Al-Haddad
- Department of Ophthalmology, American University of Beirut Medical Center, Beirut, Lebanon
| | - Rose-Mary Boustany
- Pediatrics & Adolescent Medicine/Biochemistry & Molecular Genetics, American University of Beirut Medical Center, Beirut, Lebanon
| | - David A Mackey
- Lions Eye Institute, University of Western Australia, Perth, Australia
| | - Angela F Brady
- North West Thames Regional Genetics Service, Northwick Park Hospital, Harrow, UK
| | - María Fenollar-Cortés
- Unidad de Genética Clínica, Instituto de Medicina del Laboratorio. IdISSC, Hospital Clínico San Carlos, Madrid, Spain
| | - Melanie Fradin
- Service de Génétique Clinique, CHU Rennes, Centre Labellisé Anomalies du Développement, Rennes, France
| | - Tjitske Kleefstra
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Center of Excellence for Neuropsychiatry, Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands
| | - George W Padberg
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Salmo Raskin
- Centro de Aconselhamento e Laboratório Genetika, Curitiba, Paraná, Brazil
| | - Mario Teruo Sato
- Department of Ophthalmology & Otorhinolaryngology, Federal University of Paraná, Curitiba, Paraná, Brazil
| | - Stuart H Orkin
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, USA
| | - Stephen C J Parker
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Tessa A Hadlock
- Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Lisenka E L M Vissers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Hans van Bokhoven
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ethylin Wang Jabs
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Cell, Developmental, and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Francis S Collins
- Center for Precision Health Research, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Len A Pennacchio
- Environmental Genomics & System Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Irini Manoli
- Metabolic Medicine Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Elizabeth C Engle
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
- Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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17
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Kikuchi H, Chou CL, Yang CR, Chen L, Jung HJ, Park E, Limbutara K, Carter B, Yang ZH, Kun JF, Remaley AT, Knepper MA. Signaling mechanisms in renal compensatory hypertrophy revealed by multi-omics. Nat Commun 2023; 14:3481. [PMID: 37328470 PMCID: PMC10276015 DOI: 10.1038/s41467-023-38958-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 05/24/2023] [Indexed: 06/18/2023] Open
Abstract
Loss of a kidney results in compensatory growth of the remaining kidney, a phenomenon of considerable clinical importance. However, the mechanisms involved are largely unknown. Here, we use a multi-omic approach in a unilateral nephrectomy model in male mice to identify signaling processes associated with renal compensatory hypertrophy, demonstrating that the lipid-activated transcription factor peroxisome proliferator-activated receptor alpha (PPARα) is an important determinant of proximal tubule cell size and is a likely mediator of compensatory proximal tubule hypertrophy.
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Affiliation(s)
- Hiroaki Kikuchi
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Chung-Lin Chou
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chin-Rang Yang
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lihe Chen
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hyun Jun Jung
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Euijung Park
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kavee Limbutara
- The Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Benjamin Carter
- Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung and Blood Institute, NIH, Bethesda, MD, USA
| | - Zhi-Hong Yang
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Julia F Kun
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark A Knepper
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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18
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Tan ZW, Toong PJ, Guarnera E, Berezovsky IN. Disrupted chromatin architecture in olfactory sensory neurons: looking for the link from COVID-19 infection to anosmia. Sci Rep 2023; 13:5906. [PMID: 37041182 PMCID: PMC10088727 DOI: 10.1038/s41598-023-32896-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 04/04/2023] [Indexed: 04/13/2023] Open
Abstract
We tackle here genomic mechanisms of a rapid onset and recovery from anosmia-a potential diagnostic indicator for early-stage COVID-19 infection. Based on previous observations on how olfactory receptor (OR) gene expression is regulated via chromatin structure in mice, we hypothesized that the disruption of the OR gene expression and, respectively, deficiency of the OR function can be caused by chromatin reorganization taking place upon SARS-CoV-2 infection. We obtained chromatin ensemble reconstructions from COVID-19 patients and control samples using our original computational framework for the whole-genome 3D chromatin ensemble reconstruction. Specifically, we used megabase-scale structural units and effective interactions between them obtained in the Markov State modelling of the Hi-C contact network as an unput in the stochastic embedding procedure of the whole-genome 3D chromatin ensemble reconstruction. We have also developed here a new procedure for analyzing fine structural hierarchy with (sub)TAD-size units in local chromatin regions, which we apply here to parts of chromosomes containing OR genes and corresponding regulatory elements. We observed structural modifications in COVID-19 patients on different levels of chromatin organization, from the alteration of whole genome structure and chromosomal intermingling to reorganization of contacts between chromatin loops at the level of topologically associating domains. While complementary data on known regulatory elements point to potential pathology-associated changes within the overall picture of chromatin alterations, further investigation using additional epigenetic factors mapped on 3D reconstructions with improved resolution will be required for better understanding of anosmia caused by SARS-CoV-2 infection.
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Affiliation(s)
- Zhen Wah Tan
- Agency for Science, Technology and Research (A*STAR), Bioinformatics Institute (BII), 30 Biopolis Street, Matrix, Singapore, 138671, Republic of Singapore
| | - Ping Jing Toong
- Agency for Science, Technology and Research (A*STAR), Bioinformatics Institute (BII), 30 Biopolis Street, Matrix, Singapore, 138671, Republic of Singapore
| | - Enrico Guarnera
- Agency for Science, Technology and Research (A*STAR), Bioinformatics Institute (BII), 30 Biopolis Street, Matrix, Singapore, 138671, Republic of Singapore
- Computational Drug Discovery, EMD Serono Research and Development Institute, Merck KGaA, 45A Middlesex Tpke, Billerica, MA, 01821, USA
| | - Igor N Berezovsky
- Agency for Science, Technology and Research (A*STAR), Bioinformatics Institute (BII), 30 Biopolis Street, Matrix, Singapore, 138671, Republic of Singapore.
- Department of Biological Sciences (DBS), National University of Singapore (NUS), 8 Medical Drive, Singapore, 117597, Singapore.
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19
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Zemke NR, Armand EJ, Wang W, Lee S, Zhou J, Li YE, Liu H, Tian W, Nery JR, Castanon RG, Bartlett A, Osteen JK, Li D, Zhuo X, Xu V, Miller M, Krienen FM, Zhang Q, Taskin N, Ting J, Feng G, McCarroll SA, Callaway EM, Wang T, Behrens MM, Lein ES, Ecker JR, Ren B. Comparative single cell epigenomic analysis of gene regulatory programs in the rodent and primate neocortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.08.536119. [PMID: 37066152 PMCID: PMC10104177 DOI: 10.1101/2023.04.08.536119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Sequence divergence of cis- regulatory elements drives species-specific traits, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains to be elucidated. We investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset, and mouse with single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome, and chromosomal conformation profiles from a total of over 180,000 cells. For each modality, we determined species-specific, divergent, and conserved gene expression and epigenetic features at multiple levels. We find that cell type-specific gene expression evolves more rapidly than broadly expressed genes and that epigenetic status at distal candidate cis -regulatory elements (cCREs) evolves faster than promoters. Strikingly, transposable elements (TEs) contribute to nearly 80% of the human-specific cCREs in cortical cells. Through machine learning, we develop sequence-based predictors of cCREs in different species and demonstrate that the genomic regulatory syntax is highly preserved from rodents to primates. Lastly, we show that epigenetic conservation combined with sequence similarity helps uncover functional cis -regulatory elements and enhances our ability to interpret genetic variants contributing to neurological disease and traits.
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20
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Mize TJ, Funkhouser SA, Buck JM, Stitzel JA, Ehringer MA, Evans LM. Testing Association of Previously Implicated Gene Sets and Gene-Networks in Nicotine Exposed Mouse Models with Human Smoking Phenotypes. Nicotine Tob Res 2023; 25:1030-1038. [PMID: 36444815 PMCID: PMC10077928 DOI: 10.1093/ntr/ntac269] [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: 09/30/2021] [Revised: 08/15/2022] [Accepted: 11/23/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Smoking behaviors are partly heritable, yet the genetic and environmental mechanisms underlying smoking phenotypes are not fully understood. Developmental nicotine exposure (DNE) is a significant risk factor for smoking and leads to gene expression changes in mouse models; however, it is unknown whether the same genes whose expression is impacted by DNE are also those underlying smoking genetic liability. We examined whether genes whose expression in D1-type striatal medium spiny neurons due to DNE in the mouse are also associated with human smoking behaviors. METHODS Specifically, we assessed whether human orthologs of mouse-identified genes, either individually or as a set, were genetically associated with five human smoking traits using MAGMA and S-LDSC while implementing a novel expression-based gene-SNP annotation methodology. RESULTS We found no strong evidence that these genes sets were more strongly associated with smoking behaviors than the rest of the genome, but ten of these individual genes were significantly associated with three of the five human smoking traits examined (p < 2.5e-6). Three of these genes have not been reported previously and were discovered only when implementing the expression-based annotation. CONCLUSIONS These results suggest the genes whose expression is impacted by DNE in mice are largely distinct from those contributing to smoking genetic liability in humans. However, examining a single mouse neuronal cell type may be too fine a resolution for comparison, suggesting that experimental manipulation of nicotine consumption, reward, or withdrawal in mice may better capture genes related to the complex genetics of human tobacco use. IMPLICATIONS Genes whose expression is impacted by DNE in mouse D1-type striatal medium spiny neurons were not found to be, as a whole, more strongly associated with human smoking behaviors than the rest of the genome, though ten individual mouse-identified genes were associated with human smoking traits. This suggests little overlap between the genetic mechanisms impacted by DNE and those influencing heritable liability to smoking phenotypes in humans. Further research is warranted to characterize how developmental nicotine exposure paradigms in mice can be translated to understand nicotine use in humans and their heritable effects on smoking.
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Affiliation(s)
- Travis J Mize
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
| | - Scott A Funkhouser
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Jordan M Buck
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Marissa A Ehringer
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Luke M Evans
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
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21
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Dong C, Shen S, Keleş S. AdaLiftOver: high-resolution identification of orthologous regulatory elements with Adaptive liftOver. Bioinformatics 2023; 39:btad149. [PMID: 37004197 PMCID: PMC10085516 DOI: 10.1093/bioinformatics/btad149] [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: 05/11/2022] [Revised: 03/02/2023] [Accepted: 03/20/2023] [Indexed: 04/03/2023] Open
Abstract
MOTIVATION Elucidating functionally similar orthologous regulatory regions for human and model organism genomes is critical for exploiting model organism research and advancing our understanding of results from genome-wide association studies (GWAS). Sequence conservation is the de facto approach for finding orthologous non-coding regions between human and model organism genomes. However, existing methods for mapping non-coding genomic regions across species are challenged by the multi-mapping, low precision, and low mapping rate issues. RESULTS We develop Adaptive liftOver (AdaLiftOver), a large-scale computational tool for identifying functionally similar orthologous non-coding regions across species. AdaLiftOver builds on the UCSC liftOver framework to extend the query regions and prioritizes the resulting candidate target regions based on the conservation of the epigenomic and the sequence grammar features. Evaluations of AdaLiftOver with multiple case studies, spanning both genomic intervals from epigenome datasets across a wide range of model organisms and GWAS SNPs, yield AdaLiftOver as a versatile method for deriving hard-to-obtain human epigenome datasets as well as reliably identifying orthologous loci for GWAS SNPs. AVAILABILITY AND IMPLEMENTATION The R package and the data for AdaLiftOver is available from https://github.com/keleslab/AdaLiftOver.
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Affiliation(s)
- Chenyang Dong
- Department of Statistics, University of Wisconsin-Madison, 1300 University Avenue, Madison, WI 53706, USA
| | - Siqi Shen
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WARF Room 201, 610 Walnut Street, Madison, WI 53706, USA
| | - Sündüz Keleş
- Department of Statistics, University of Wisconsin-Madison, 1300 University Avenue, Madison, WI 53706, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, WARF Room 201, 610 Walnut Street, Madison, WI 53706, USA
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22
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Li Z, Yin H, Chen K, Ding B, Xu J, Ren M, Zhang C, Shen Y. Effects of bisphenol A on uterine leiomyoma: In vitro and in vivo evaluation with mechanistic insights related to XBP1. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 247:114201. [PMID: 36306618 DOI: 10.1016/j.ecoenv.2022.114201] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 10/14/2022] [Accepted: 10/16/2022] [Indexed: 06/16/2023]
Abstract
The incidence rate of human uterine leiomyomas is over 70% in the women of childbearing age, which has caused serious health and financial burden. Our previous study confirmed that Bisphenol A (BPA),representative environmental estrogen, promoted the proliferation of human uterine leiomyomas and up-regulated the expression of cell proliferation-related genes. In this study, by combining ChIP-seq and RNA-seq, it was shown that after BPA intervention, H3K27ac modification levels and gene expression levels were altered in uterine leiomyomas cells. Moreover experimental verification found that BPA can regulate ITGA2 through the transcription factor XBP1, activate the downstream PI3K/AKT signaling pathway, eventually promote the proliferation of uterine leiomyomas. The present study provides new insights into the pathogenesis associated with exposure to BPA and other endocrine disruptors with similar effects by defining XBP1 as an important regulator, and which may act as an intervention and treatment target for uterine leiomyomas.
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Affiliation(s)
- Zemin Li
- Department of Obstetrics and Gynecology Zhongda Hospital, Southeast University, Nanjing, China
| | - Han Yin
- Department of Obstetrics and Gynecology Zhongda Hospital, Southeast University, Nanjing, China
| | - Kai Chen
- Novant Health Maternal Fetal Medicine, Winston-Salem, NC 27103, USA
| | - Bo Ding
- Department of Obstetrics and Gynecology Zhongda Hospital, Southeast University, Nanjing, China
| | - Jingyun Xu
- Department of Obstetrics and Gynecology Zhongda Hospital, Southeast University, Nanjing, China
| | - Mulan Ren
- Department of Obstetrics and Gynecology Zhongda Hospital, Southeast University, Nanjing, China
| | - Chuan Zhang
- National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Purple Mountain Laboratories, Nanjing, China.
| | - Yang Shen
- Department of Obstetrics and Gynecology Zhongda Hospital, Southeast University, Nanjing, China.
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23
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Wei Y, Yu R, Cheng S, Zhou P, Mo S, He C, Deng C, Wu P, Liu H, Cao C. Single-cell profiling of mouse and primate ovaries identifies high levels of EGFR for stromal cells in ovarian aging. MOLECULAR THERAPY. NUCLEIC ACIDS 2022; 31:1-12. [PMID: 36570672 PMCID: PMC9761475 DOI: 10.1016/j.omtn.2022.11.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/22/2022] [Indexed: 11/26/2022]
Abstract
Increased ovarian fibrosis and an expanded stromal cell compartment are the main characteristics of aging ovaries. However, the molecular mechanisms and the key factor of stromal cells underlying ovarian aging remain unclear. Here, we explored single-cell transcriptomic data of ovaries from the adult mouse (4,363 cells), young (1,122 cells), and aged (1,479 cells) non-human primates (NHPs) to identify expression patterns of stromal cells between young and old ovaries. An increased number of stromal cells (p = 0.0386) was observed in aged ovaries of NHPs, with enrichment processes related to the collagen-containing extracellular matrix. In addition, differentially expressed genes of stromal cells between young and old ovaries were regulated by ESR1 (p = 7.94E-08) and AR (p = 1.99E-05). Among them, EGFR was identified as the common target and was highly expressed (p = 7.69E-39) in old ovaries. In human ovaries, the correlated genes of EGFR were associated with the process of the cell-substrate junction. Silencing of EGFR in human ovarian stromal cells led to the reduction of cell-substrate junction via regulating phosphorylation modification of the AKT-mTOR signaling pathway and stromal cell marker genes. Overall, we identified high levels of EGFR for stromal cells in ovarian aging, which provides insight into the cell type-specific molecular mechanisms underlying ovarian aging at single-cell resolution.
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Affiliation(s)
- Ye Wei
- Department of Gynecology and Obstetrics, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ruidi Yu
- Department of Gynecology and Obstetrics, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Sheng Cheng
- Department of Gynecology and Obstetrics, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Ping Zhou
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Shaomei Mo
- Department of Gastrointestinal Surgery, Reproductive Research Institute, Peking University Shenzhen Hospital, Guangdong 518036, China,The Fifth Clinical College, Anhui Medical University, Hefei 230000, China
| | - Chao He
- Department of Gynecology and Obstetrics, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chang Deng
- Department of Gynecology and Obstetrics, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Peng Wu
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,Corresponding author Peng Wu, Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - He Liu
- Department of Gastrointestinal Surgery, Reproductive Research Institute, Peking University Shenzhen Hospital, Guangdong 518036, China,Corresponding author He Liu, Department of Gastrointestinal Surgery, Reproductive Research Institute, Peking University Shenzhen Hospital, Guangdong 518036, China.
| | - Canhui Cao
- Department of Gynecology and Obstetrics, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China,Department of Gastrointestinal Surgery, Reproductive Research Institute, Peking University Shenzhen Hospital, Guangdong 518036, China,Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China,Corresponding author Canhui Cao, Department of Gynecology and Obstetrics, Key Laboratory of the Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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24
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da Silva VS, Simão JJ, Plata V, de Sousa AF, da Cunha de Sá RDC, Machado CF, Stumpp T, Alonso-Vale MIC, Armelin-Correa L. High-fat diet decreases H3K27ac in mice adipose-derived stromal cells. Obesity (Silver Spring) 2022; 30:1995-2004. [PMID: 36062886 DOI: 10.1002/oby.23537] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 06/10/2022] [Accepted: 06/13/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The study goal was to analyze the effects of a high-fat diet (HFD) on the histone 3 lysine 27 (H3K27) posttranscriptional modifications and the expression of histone-modifying enzymes in adipose-derived stromal cells (ASCs) from white adipose tissue (WAT). METHODS Male C57BL/6J mice received control or HFD for 12 weeks. The ASCs were isolated from subcutaneous and visceral (epididymal) WAT, cultivated, and evaluated for expression of H3K27 trimethylation (H3K27me3) and H3K27 acetylation (H3K27ac) by Western blot. The transcription of histone-modifying enzymes was analyzed by real-time polymerase chain reaction. RESULTS When compared with control, HFD ASCs showed a decrease in H3K27ac enrichment in subcutaneous and visceral WAT and ATP-citrate lyase expression in subcutaneous WAT. Curiously, the expression of CREB-binding protein was increased in visceral ASCs from HFD-fed mice. CONCLUSIONS These results show that an HFD significantly reduces acetylation of H3K27 in ASCs and the expression of ATP-citrate lyase in subcutaneous ASCs, suggesting that, in this fat depot, the H3K27ac reduction could be partly due to lower acetyl-coenzyme A availability. H3K27ac is an epigenetic mark responsible for increasing the transcription rate and its reduction can have an important impact on ASC proliferation and differentiation potential.
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Affiliation(s)
- Viviane S da Silva
- Post-graduation Program in Chemical Biology-Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
| | - Jussara J Simão
- Post-graduation Program in Chemical Biology-Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
| | - Victor Plata
- Post-graduation Program in Chemical Biology-Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
| | - Andressa França de Sousa
- Post-graduation Program in Chemical Biology-Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
| | - Roberta D C da Cunha de Sá
- Post-graduation Program in Chemical Biology-Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
| | | | - Taiza Stumpp
- Laboratory of Developmental Biology, Federal University of São Paulo, São Paulo, Brazil
| | - Maria Isabel C Alonso-Vale
- Post-graduation Program in Chemical Biology-Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
- Department of Biological Sciences, Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
| | - Lucia Armelin-Correa
- Post-graduation Program in Chemical Biology-Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
- Department of Biological Sciences, Institute of Environmental Chemical and Pharmaceutical Sciences, Federal University of São Paulo, Diadema, Brazil
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25
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Chen H, Li S, Zhao W, Deng J, Yan Z, Zhang T, Wen SA, Guo H, Li L, Yuan J, Zhang H, Ma L, Zheng J, Gao M, Pang Y. A Peptidomic Approach to Identify Novel Antigen Biomarkers for the Diagnosis of Tuberculosis. Infect Drug Resist 2022; 15:4617-4626. [PMID: 36003990 PMCID: PMC9394730 DOI: 10.2147/idr.s373652] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022] Open
Abstract
Background Here, we conducted a peptidomic study in murine model to identify novel antigen biomarkers for the diagnosis of tuberculosis (TB) with improved performance. Methods Four recombinant proteins, including Mycobacterium tuberculosis protein 32 (MPT32), Mycobacterium tuberculosis protein 64 (MPT64), culture filtrate protein 10 (CFP10), and phosphate ABC transporter substrate-binding lipoprotein (PstS1) were expressed and intravenously injected into BALB/c mice. The serum were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The concentrations of candidate peptides in serum of suspected TB patients were determined using competitive enzyme-linked immunosorbent assay. Results A total of 65 peptides from 4 MTB precursor recombinant proteins were identified in mouse serum by LC-MS/MS, of which 5 peptides were selected as candidates for serological analysis. The concentrations of peptides MPT64-2, CFP10-2 and PstS1-2 in TB patients were significantly higher than those in non-TB patients. MPT64-2 exhibited the most promising sensitivity (81.4%), followed by PstS1-2 and CFP10-2. In addition, PstS1-2 had the highest specificity (93.3%), followed by CFP10-2 and MPT64-2. According to the area under the curve (AUC), MPT64-2 (AUC = 0.863), PstS1-2 (AUC = 0.812) and CFP10-2 (AUC = 0.809) exhibited better diagnostic validity. Conclusion We develop an effective approach to identify new antigen biomarkers via LC-MS/MS-based peptidomics. Multiple peptides exhibit promising efficacy in diagnosis of active TB patients.
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Affiliation(s)
- Hongmei Chen
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Shanshan Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Weijie Zhao
- Clinical Trial Agency Office, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Jiaheng Deng
- Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Zhuohong Yan
- Department of Central Laboratory, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Tingting Zhang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Shu' An Wen
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Haiping Guo
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Lei Li
- Electral Safety Research & Development Center, Beijing Normal University, Zhuhai, People's Republic of China
| | - Jianfeng Yuan
- Electral Safety Research & Development Center, Beijing Normal University, Zhuhai, People's Republic of China
| | - Hongtao Zhang
- Department of Central Laboratory, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Liping Ma
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Jianhua Zheng
- Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
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26
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Hou K, Wu ZX, Chen XY, Wang JQ, Zhang D, Xiao C, Zhu D, Koya JB, Wei L, Li J, Chen ZS. Microbiota in health and diseases. Signal Transduct Target Ther 2022; 7:135. [PMID: 35461318 PMCID: PMC9034083 DOI: 10.1038/s41392-022-00974-4] [Citation(s) in RCA: 632] [Impact Index Per Article: 316.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 03/11/2022] [Accepted: 03/15/2022] [Indexed: 02/07/2023] Open
Abstract
The role of microbiota in health and diseases is being highlighted by numerous studies since its discovery. Depending on the localized regions, microbiota can be classified into gut, oral, respiratory, and skin microbiota. The microbial communities are in symbiosis with the host, contributing to homeostasis and regulating immune function. However, microbiota dysbiosis can lead to dysregulation of bodily functions and diseases including cardiovascular diseases (CVDs), cancers, respiratory diseases, etc. In this review, we discuss the current knowledge of how microbiota links to host health or pathogenesis. We first summarize the research of microbiota in healthy conditions, including the gut-brain axis, colonization resistance and immune modulation. Then, we highlight the pathogenesis of microbiota dysbiosis in disease development and progression, primarily associated with dysregulation of community composition, modulation of host immune response, and induction of chronic inflammation. Finally, we introduce the clinical approaches that utilize microbiota for disease treatment, such as microbiota modulation and fecal microbial transplantation.
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Affiliation(s)
- Kaijian Hou
- Department of Endocrine and Metabolic Diseases, Longhu Hospital, The First Affiliated Hospital of Medical College of Shantou University, Shantou, Guangdong, 515000, China
| | - Zhuo-Xun Wu
- Department of Pharmaceutical Sciences, Institute for Biotechnology, College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA
| | - Xuan-Yu Chen
- Department of Pharmaceutical Sciences, Institute for Biotechnology, College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA
| | - Jing-Quan Wang
- Department of Pharmaceutical Sciences, Institute for Biotechnology, College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA
| | - Dongya Zhang
- Microbiome Research Center, Moon (Guangzhou) Biotech Ltd, Guangzhou, 510535, China
| | - Chuanxing Xiao
- Department of Endocrine and Metabolic Diseases, Longhu Hospital, The First Affiliated Hospital of Medical College of Shantou University, Shantou, Guangdong, 515000, China
| | - Dan Zhu
- Department of Endocrine and Metabolic Diseases, Longhu Hospital, The First Affiliated Hospital of Medical College of Shantou University, Shantou, Guangdong, 515000, China
| | - Jagadish B Koya
- Department of Pharmaceutical Sciences, Institute for Biotechnology, College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA
| | - Liuya Wei
- School of Pharmacy, Weifang Medical University, Weifang, Shandong, 261053, China
| | - Jilin Li
- Department of Cardiovascular, The Second Affiliated Hospital of Medical College of Shantou University, Shantou, Guangdong, 515000, China
| | - Zhe-Sheng Chen
- Department of Pharmaceutical Sciences, Institute for Biotechnology, College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA
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27
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Powell G, Long H, Zolkiewski L, Dumbell R, Mallon AM, Lindgren CM, Simon MM. Modelling the genetic aetiology of complex disease: human-mouse conservation of noncoding features and disease-associated loci. Biol Lett 2022; 18:20210630. [PMID: 35317627 PMCID: PMC8941414 DOI: 10.1098/rsbl.2021.0630] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Understanding the genetic aetiology of loci associated with a disease is crucial for developing preventative measures and effective treatments. Mouse models are used extensively to understand human pathobiology and mechanistic functions of disease-associated loci. However, the utility of mouse models is limited in part by evolutionary divergence in transcription regulation for pathways of interest. Here, we summarize the alignment of genomic (exonic and multi-cell regulatory) annotations alongside Mendelian and complex disease-associated variant sites between humans and mice. Our results highlight the importance of understanding evolutionary divergence in transcription regulation when interpreting functional studies using mice as models for human disease variants.
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Affiliation(s)
- George Powell
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.,MRC Harwell Institute, Mammalian Genetics Unit, Oxfordshire OX11 0RD, UK
| | - Helen Long
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.,MRC Harwell Institute, Mammalian Genetics Unit, Oxfordshire OX11 0RD, UK
| | - Louisa Zolkiewski
- MRC Harwell Institute, Mammalian Genetics Unit, Oxfordshire OX11 0RD, UK.,Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Rebecca Dumbell
- Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK
| | - Ann-Marie Mallon
- MRC Harwell Institute, Mammalian Genetics Unit, Oxfordshire OX11 0RD, UK
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.,Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.,Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK.,Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michelle M Simon
- MRC Harwell Institute, Mammalian Genetics Unit, Oxfordshire OX11 0RD, UK
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28
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Jansen C, Paraiso KD, Zhou JJ, Blitz IL, Fish MB, Charney RM, Cho JS, Yasuoka Y, Sudou N, Bright AR, Wlizla M, Veenstra GJC, Taira M, Zorn AM, Mortazavi A, Cho KWY. Uncovering the mesendoderm gene regulatory network through multi-omic data integration. Cell Rep 2022; 38:110364. [PMID: 35172134 PMCID: PMC8917868 DOI: 10.1016/j.celrep.2022.110364] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 10/30/2021] [Accepted: 01/19/2022] [Indexed: 01/01/2023] Open
Abstract
Mesendodermal specification is one of the earliest events in embryogenesis, where cells first acquire distinct identities. Cell differentiation is a highly regulated process that involves the function of numerous transcription factors (TFs) and signaling molecules, which can be described with gene regulatory networks (GRNs). Cell differentiation GRNs are difficult to build because existing mechanistic methods are low throughput, and high-throughput methods tend to be non-mechanistic. Additionally, integrating highly dimensional data composed of more than two data types is challenging. Here, we use linked self-organizing maps to combine chromatin immunoprecipitation sequencing (ChIP-seq)/ATAC-seq with temporal, spatial, and perturbation RNA sequencing (RNA-seq) data from Xenopus tropicalis mesendoderm development to build a high-resolution genome scale mechanistic GRN. We recover both known and previously unsuspected TF-DNA/TF-TF interactions validated through reporter assays. Our analysis provides insights into transcriptional regulation of early cell fate decisions and provides a general approach to building GRNs using highly dimensional multi-omic datasets.
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Affiliation(s)
- Camden Jansen
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA; Center for Complex Biological Systems, University of California, Irvine, CA, USA
| | - Kitt D Paraiso
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA; Center for Complex Biological Systems, University of California, Irvine, CA, USA
| | - Jeff J Zhou
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA
| | - Ira L Blitz
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA
| | - Margaret B Fish
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA
| | - Rebekah M Charney
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA
| | - Jin Sun Cho
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA
| | - Yuuri Yasuoka
- Laboratory for Comprehensive Genomic Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Norihiro Sudou
- Department of Anatomy, School of Medicine, Toho University, Tokyo, Japan
| | - Ann Rose Bright
- Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands
| | - Marcin Wlizla
- Division of Developmental Biology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Gert Jan C Veenstra
- Department of Molecular Developmental Biology, Radboud University, Nijmegen, the Netherlands
| | - Masanori Taira
- Department of Biological Sciences, Chuo University, Tokyo, Japan
| | - Aaron M Zorn
- Division of Developmental Biology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA; Center for Complex Biological Systems, University of California, Irvine, CA, USA.
| | - Ken W Y Cho
- Department of Developmental and Cell Biology, University of California, Irvine, CA, USA; Center for Complex Biological Systems, University of California, Irvine, CA, USA.
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29
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Singh A, Mahesh A, Noack F, Cardoso de Toledo B, Calegari F, Tiwari VK. Tcf12 and NeuroD1 cooperatively drive neuronal migration during cortical development. Development 2022; 149:dev200250. [PMID: 35147187 PMCID: PMC8918803 DOI: 10.1242/dev.200250] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/31/2021] [Indexed: 01/06/2023]
Abstract
Corticogenesis consists of a series of synchronised events, including fate transition of cortical progenitors, neuronal migration, specification and connectivity. NeuroD1, a basic helix-loop-helix (bHLH) transcription factor (TF), contributes to all of these events, but how it coordinates these independently is still unknown. Here, we demonstrate that NeuroD1 expression is accompanied by a gain of active chromatin at a large number of genomic loci. Interestingly, transcriptional activation of these loci relied on a high local density of adjacent bHLH TFs motifs, including, predominantly, Tcf12. We found that activity and expression levels of Tcf12 were high in cells with induced levels of NeuroD1 that spanned the transition of cortical progenitors from proliferative to neurogenic divisions. Moreover, Tcf12 forms a complex with NeuroD1 and co-occupies a subset of NeuroD1 target loci. This Tcf12-NeuroD1 cooperativity is essential for gaining active chromatin and targeted expression of genes involved in cell migration. By functional manipulation in vivo, we further show that Tcf12 is essential during cortical development for the correct migration of newborn neurons and, hence, for proper cortical lamination.
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Affiliation(s)
- Aditi Singh
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry & Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
| | - Arun Mahesh
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry & Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
| | - Florian Noack
- CRTD-Center for Regenerative Therapies, School of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Beatriz Cardoso de Toledo
- CRTD-Center for Regenerative Therapies, School of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Federico Calegari
- CRTD-Center for Regenerative Therapies, School of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Vijay K. Tiwari
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry & Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
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30
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Jaslove JM, Goodwin K, Sundarakrishnan A, Spurlin JW, Mao S, Košmrlj A, Nelson CM. Transmural pressure signals through retinoic acid to regulate lung branching. Development 2022; 149:274047. [PMID: 35051272 PMCID: PMC8917413 DOI: 10.1242/dev.199726] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 12/10/2021] [Indexed: 01/22/2023]
Abstract
During development, the mammalian lung undergoes several rounds of branching, the rate of which is tuned by the relative pressure of the fluid within the lumen of the lung. We carried out bioinformatics analysis of RNA-sequencing of embryonic mouse lungs cultured under physiologic or sub-physiologic transmural pressure and identified transcription factor-binding motifs near genes whose expression changes in response to pressure. Surprisingly, we found retinoic acid (RA) receptor binding sites significantly overrepresented in the promoters and enhancers of pressure-responsive genes. Consistently, increasing transmural pressure activates RA signaling, and pharmacologically inhibiting RA signaling decreases airway epithelial branching and smooth muscle wrapping. We found that pressure activates RA signaling through the mechanosensor Yap. A computational model predicts that mechanical signaling through Yap and RA affects lung branching by altering the balance between epithelial proliferation and smooth muscle wrapping, which we test experimentally. Our results reveal that transmural pressure signals through RA to balance the relative rates of epithelial growth and smooth muscle differentiation in the developing mouse lung and identify RA as a previously unreported component in the mechanotransduction machinery of embryonic tissues.
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Affiliation(s)
- Jacob M. Jaslove
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA,Graduate School of Biomedical Sciences, Rutgers Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA
| | - Katharine Goodwin
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Aswin Sundarakrishnan
- Department of Chemical & Biological Engineering, Princeton University, Princeton, NJ 08544, USA
| | - James W. Spurlin
- Department of Chemical & Biological Engineering, Princeton University, Princeton, NJ 08544, USA,Department of Biosciences, Rice University, Houston, TX 77005, USA
| | - Sheng Mao
- Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China,Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA
| | - Andrej Košmrlj
- Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA,Princeton Institute for the Science & Technology of Materials, Princeton, NJ 08544, USA
| | - Celeste M. Nelson
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA,Department of Chemical & Biological Engineering, Princeton University, Princeton, NJ 08544, USA,Author for correspondence ()
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31
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Laverre A, Tannier E, Necsulea A. Long-range promoter-enhancer contacts are conserved during evolution and contribute to gene expression robustness. Genome Res 2021; 32:280-296. [PMID: 34930799 PMCID: PMC8805723 DOI: 10.1101/gr.275901.121] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/16/2021] [Indexed: 11/25/2022]
Abstract
Gene expression is regulated through complex molecular interactions, involving cis-acting elements that can be situated far away from their target genes. Data on long-range contacts between promoters and regulatory elements are rapidly accumulating. However, it remains unclear how these regulatory relationships evolve and how they contribute to the establishment of robust gene expression profiles. Here, we address these questions by comparing genome-wide maps of promoter-centered chromatin contacts in mouse and human. We show that there is significant evolutionary conservation of cis-regulatory landscapes, indicating that selective pressures act to preserve not only regulatory element sequences but also their chromatin contacts with target genes. The extent of evolutionary conservation is remarkable for long-range promoter–enhancer contacts, illustrating how the structure of regulatory landscapes constrains large-scale genome evolution. We show that the evolution of cis-regulatory landscapes, measured in terms of distal element sequences, synteny, or contacts with target genes, is significantly associated with gene expression evolution.
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Affiliation(s)
- Alexandre Laverre
- Université de Lyon, Université Claude Bernard Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive
| | - Eric Tannier
- Université de Lyon, Université Claude Bernard Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive, Centre de recherche Inria de Lyon
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32
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Gilbertson SE, Weinmann AS. Conservation and divergence in gene regulation between mouse and human immune cells deserves equal emphasis. Trends Immunol 2021; 42:1077-1087. [PMID: 34740529 DOI: 10.1016/j.it.2021.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 02/06/2023]
Abstract
Model organisms such as mice are important for basic research and serve as valuable tools in preclinical translational studies. A challenge with translating findings from mice to humans is identifying and separating evolutionarily conserved mechanisms in the immune system from those diverging between species. A significant emphasis has been placed on defining conserved gene regulation principles, with divergent mechanisms often overlooked. We put forward the perspective that both conserved and divergent mechanisms that regulate gene expression programs are of equal importance. With recent advances and availability of datasets, immunologists should take a closer look at the role for genetic diversity in altering gene expression programs between mouse and human immune cells.
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Affiliation(s)
- Sarah E Gilbertson
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Amy S Weinmann
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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33
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Kawakubo-Yasukochi T, Yano E, Kimura S, Nishinakagawa T, Mizokami A, Hayashi Y, Hatakeyama Y, Ohe K, Yasukochi A, Nakamura S, Jimi E, Hirata M. Hepatic glycogenolysis is determined by maternal high-calorie diet via methylation of Pygl and it is modified by oteocalcin administration in mice. Mol Metab 2021; 54:101360. [PMID: 34673295 PMCID: PMC8606545 DOI: 10.1016/j.molmet.2021.101360] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/11/2021] [Accepted: 10/17/2021] [Indexed: 12/24/2022] Open
Abstract
Objective Accumulating evidence indicates that an adverse perinatal environment contributes to a higher risk of metabolic disorders in the later life of the offspring. However, the underlying molecular mechanisms remain largely unknown. Thus, we investigated the contribution of maternal high-calorie diet and osteocalcin to metabolic homeostasis in the offspring. Methods Eight-week-old C57Bl/6N female mice were mated with age-matched males and allocated randomly to three groups: a normal-diet (ND) or a high-fat, high-sucrose diet group, which was administered either saline (control) or GluOC (10 ng/g body mass) from the day of mating to that of delivery, and the dams were fed a ND after the delivery. Pups weaned at 24 days after birth were analyzed. Results A maternal high-fat, high-sucrose diet during pregnancy causes metabolic disorders in the liver of the offspring via hypermethylation of the Pygl gene, encoding glycogen phosphorylase L, which mediates hepatic glycogenolysis. The reduced expression of Pygl induced by the maternal diet causes the hepatic accumulation of glycogen and triglyceride in the offspring, which remains in adulthood. In addition, the administration of uncarboxylated osteocalcin during pregnancy upregulates Pygl expression via both direct CREBH and ATF4 and indirect epigenomic pathways, mitigating the maternal diet-induced obesity and abnormal glucose and lipid metabolism in adulthood. Conclusions We propose that maternal energy status is reflected in the hepatic glycogenolysis capacity of the offspring via epigenetic modification of Pygl and uncarboxylated osteocalcin regulates glycogenolysis. A high-calorie diet during pregnancy causes metabolic disorders in mouse offspring. These are mediated by low liver expression of Pygl encoding glycogen phosphorylase. Hypermethylation of the Pygl promoter in utero suppresses subsequent gene expression. Modification and phenotypic changes are prevented by GluOC administration during pregnancy.
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Affiliation(s)
- Tomoyo Kawakubo-Yasukochi
- OBT Research Center, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
| | - Ena Yano
- OBT Research Center, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Soi Kimura
- OBT Research Center, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Section of Oral and Maxillofacial Oncology, Division of Maxillofacial Diagnostic and Surgical Sciences, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takuya Nishinakagawa
- Department of Immunological and Molecular Pharmacology, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Akiko Mizokami
- OBT Research Center, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yoshikazu Hayashi
- Division of Functional Structure, Department of Morphological Biology, Fukuoka Dental College, 2-15-1 Tamura, Sawara-ku, Fukuoka 814-0193, Japan
| | - Yuji Hatakeyama
- Division of Functional Structure, Department of Morphological Biology, Fukuoka Dental College, 2-15-1 Tamura, Sawara-ku, Fukuoka 814-0193, Japan
| | - Kenji Ohe
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Atsushi Yasukochi
- Section of Oral and Maxillofacial Oncology, Division of Maxillofacial Diagnostic and Surgical Sciences, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Seiji Nakamura
- Section of Oral and Maxillofacial Oncology, Division of Maxillofacial Diagnostic and Surgical Sciences, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Eijiro Jimi
- OBT Research Center, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Masato Hirata
- Oral Medicine Research Center, Fukuoka Dental College, 2-15-1 Tamura, Sawara-ku, Fukuoka 814-0193, Japan.
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34
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Zheng F, Kelly MR, Ramms DJ, Heintschel ML, Tao K, Tutuncuoglu B, Lee JJ, Ono K, Foussard H, Chen M, Herrington KA, Silva E, Liu S, Chen J, Churas C, Wilson N, Kratz A, Pillich RT, Patel DN, Park J, Kuenzi B, Yu MK, Licon K, Pratt D, Kreisberg JF, Kim M, Swaney DL, Nan X, Fraley SI, Gutkind JS, Krogan NJ, Ideker T. Interpretation of cancer mutations using a multiscale map of protein systems. Science 2021; 374:eabf3067. [PMID: 34591613 PMCID: PMC9126298 DOI: 10.1126/science.abf3067] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A major goal of cancer research is to understand how mutations distributed across diverse genes affect common cellular systems, including multiprotein complexes and assemblies. Two challenges—how to comprehensively map such systems and how to identify which are under mutational selection—have hindered this understanding. Accordingly, we created a comprehensive map of cancer protein systems integrating both new and published multi-omic interaction data at multiple scales of analysis. We then developed a unified statistical model that pinpoints 395 specific systems under mutational selection across 13 cancer types. This map, called NeST (Nested Systems in Tumors), incorporates canonical processes and notable discoveries, including a PIK3CA-actomyosin complex that inhibits phosphatidylinositol 3-kinase signaling and recurrent mutations in collagen complexes that promote tumor proliferation. These systems can be used as clinical biomarkers and implicate a total of 548 genes in cancer evolution and progression. This work shows how disparate tumor mutations converge on protein assemblies at different scales.
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Affiliation(s)
- Fan Zheng
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Marcus R. Kelly
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Dana J. Ramms
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, USA
| | - Marissa L. Heintschel
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Kai Tao
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, 97239, USA
- Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR, 97201, USA
| | - Beril Tutuncuoglu
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - John J. Lee
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Keiichiro Ono
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Helene Foussard
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Michael Chen
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Kari A. Herrington
- Department of Biochemistry and Biophysics Center for Advanced Light Microscopy at UCSF, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Erica Silva
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Sophie Liu
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Jing Chen
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Christopher Churas
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Nicholas Wilson
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Anton Kratz
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Rudolf T. Pillich
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Devin N. Patel
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Jisoo Park
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Brent Kuenzi
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Michael K. Yu
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Katherine Licon
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Dexter Pratt
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Jason F. Kreisberg
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
| | - Minkyu Kim
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Danielle L. Swaney
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Xiaolin Nan
- Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, 97239, USA
- Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR, 97201, USA
- Knight Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland, OR, 97201, USA
| | - Stephanie I. Fraley
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - J. Silvio Gutkind
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
- Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, USA
| | - Nevan J. Krogan
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, CA 94158, USA
- The J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Trey Ideker
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
- Cancer Cell Map Initiative (CCMI), La Jolla and San Francisco, CA, USA
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35
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Sanghi A, Gruber JJ, Metwally A, Jiang L, Reynolds W, Sunwoo J, Orloff L, Chang HY, Kasowski M, Snyder MP. Chromatin accessibility associates with protein-RNA correlation in human cancer. Nat Commun 2021; 12:5732. [PMID: 34593797 PMCID: PMC8484618 DOI: 10.1038/s41467-021-25872-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 08/24/2021] [Indexed: 11/19/2022] Open
Abstract
Although alterations in chromatin structure are known to exist in tumors, how these alterations relate to molecular phenotypes in cancer remains to be demonstrated. Multi-omics profiling of human tumors can provide insight into how alterations in chromatin structure are propagated through the pathway of gene expression to result in malignant protein expression. We applied multi-omics profiling of chromatin accessibility, RNA abundance, and protein abundance to 36 human thyroid cancer primary tumors, metastases, and patient-match normal tissue. Through quantification of chromatin accessibility associated with active transcription units and global protein expression, we identify a local chromatin structure that is highly correlated with coordinated RNA and protein expression. In particular, we identify enhancers located within gene-bodies as predictive of correlated RNA and protein expression, that is independent of overall transcriptional activity. To demonstrate the generalizability of these findings we also identify similar results in an independent cohort of human breast cancers. Taken together, these analyses suggest that local enhancers, rather than distal enhancers, are likely most predictive of cancer gene expression phenotypes. This allows for identification of potential targets for cancer therapeutic approaches and reinforces the utility of multi-omics profiling as a methodology to understand human disease.
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Affiliation(s)
- Akshay Sanghi
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Joshua J Gruber
- Department of Genetics, Stanford University, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ahmed Metwally
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Lihua Jiang
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Warren Reynolds
- Center for Personal Dynamic Regulomes and HHMI, Stanford University, Stanford, USA
| | - John Sunwoo
- Division of Head and Neck Surgery, Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lisa Orloff
- Division of Head and Neck Surgery, Department of Otolaryngology, Stanford University School of Medicine, Stanford, CA, USA
| | - Howard Y Chang
- Department of Genetics, Stanford University, Stanford, CA, USA
- Center for Personal Dynamic Regulomes and HHMI, Stanford University, Stanford, USA
| | - Maya Kasowski
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Sean N. Parker Center for Allergy and Asthma Research at Stanford University, Stanford University, Stanford, CA, USA
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36
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Conserved and species-specific chromatin remodeling and regulatory dynamics during mouse and chicken limb bud development. Nat Commun 2021; 12:5685. [PMID: 34584102 PMCID: PMC8479071 DOI: 10.1038/s41467-021-25935-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 09/07/2021] [Indexed: 12/13/2022] Open
Abstract
Chromatin remodeling and genomic alterations impact spatio-temporal regulation of gene expression, which is central to embryonic development. The analysis of mouse and chicken limb development provides important insights into the morphoregulatory mechanisms, however little is known about the regulatory differences underlying their morphological divergence. Here, we identify the underlying shared and species-specific epigenomic and genomic variations. In mouse forelimb buds, we observe striking synchrony between the temporal dynamics of chromatin accessibility and gene expression, while their divergence in chicken wing buds uncovers species-specific regulatory heterochrony. In silico mapping of transcription factor binding sites and computational footprinting establishes the developmental time-restricted transcription factor-DNA interactions. Finally, the construction of target gene networks for HAND2 and GLI3 transcriptional regulators reveals both conserved and species-specific interactions. Our analysis reveals the impact of genome evolution on the regulatory interactions orchestrating vertebrate limb bud morphogenesis and provides a molecular framework for comparative Evo-Devo studies. The vertebrate limb bud is a paradigm to uncover the fundamental mechanisms that govern embryogenesis and evolutionary diversification. Here the authors compare mouse and chicken limb bud development to study the impact of genome evolution on conserved and divergent gene regulatory interactions.
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37
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Dong C, Simonett SP, Shin S, Stapleton DS, Schueler KL, Churchill GA, Lu L, Liu X, Jin F, Li Y, Attie AD, Keller MP, Keleş S. INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants. Genome Biol 2021; 22:241. [PMID: 34425882 PMCID: PMC8381555 DOI: 10.1186/s13059-021-02450-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 08/02/2021] [Indexed: 11/24/2022] Open
Abstract
Genome-wide association studies reveal many non-coding variants associated with complex traits. However, model organism studies largely remain as an untapped resource for unveiling the effector genes of non-coding variants. We develop INFIMA, Integrative Fine-Mapping, to pinpoint causal SNPs for diversity outbred (DO) mice eQTL by integrating founder mice multi-omics data including ATAC-seq, RNA-seq, footprinting, and in silico mutation analysis. We demonstrate INFIMA's superior performance compared to alternatives with human and mouse chromatin conformation capture datasets. We apply INFIMA to identify novel effector genes for GWAS variants associated with diabetes. The results of the application are available at http://www.statlab.wisc.edu/shiny/INFIMA/ .
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Affiliation(s)
- Chenyang Dong
- Department of Statistics, University of Wisconsin-Madison, Madison, WI USA
| | - Shane P. Simonett
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI USA
| | - Sunyoung Shin
- Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX USA
| | - Donnie S. Stapleton
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI USA
| | - Kathryn L. Schueler
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI USA
| | | | - Leina Lu
- Case Western University, Cleveland, OH USA
| | | | - Fulai Jin
- Case Western University, Cleveland, OH USA
| | - Yan Li
- Case Western University, Cleveland, OH USA
| | - Alan D. Attie
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI USA
| | - Mark P. Keller
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI USA
| | - Sündüz Keleş
- Department of Statistics, University of Wisconsin-Madison, Madison, WI USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI USA
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38
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Dynamic CTCF binding directly mediates interactions among cis-regulatory elements essential for hematopoiesis. Blood 2021; 137:1327-1339. [PMID: 33512425 DOI: 10.1182/blood.2020005780] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 12/05/2020] [Indexed: 11/20/2022] Open
Abstract
While constitutive CCCTC-binding factor (CTCF)-binding sites are needed to maintain relatively invariant chromatin structures, such as topologically associating domains, the precise roles of CTCF to control cell-type-specific transcriptional regulation remain poorly explored. We examined CTCF occupancy in different types of primary blood cells derived from the same donor to elucidate a new role for CTCF in gene regulation during blood cell development. We identified dynamic, cell-type-specific binding sites for CTCF that colocalize with lineage-specific transcription factors. These dynamic sites are enriched for single-nucleotide polymorphisms that are associated with blood cell traits in different linages, and they coincide with the key regulatory elements governing hematopoiesis. CRISPR-Cas9-based perturbation experiments demonstrated that these dynamic CTCF-binding sites play a critical role in red blood cell development. Furthermore, precise deletion of CTCF-binding motifs in dynamic sites abolished interactions of erythroid genes, such as RBM38, with their associated enhancers and led to abnormal erythropoiesis. These results suggest a novel, cell-type-specific function for CTCF in which it may serve to facilitate interaction of distal regulatory emblements with target promoters. Our study of the dynamic, cell-type-specific binding and function of CTCF provides new insights into transcriptional regulation during hematopoiesis.
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39
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Leypold NA, Speicher MR. Evolutionary conservation in noncoding genomic regions. Trends Genet 2021; 37:903-918. [PMID: 34238591 DOI: 10.1016/j.tig.2021.06.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/25/2021] [Accepted: 06/07/2021] [Indexed: 12/28/2022]
Abstract
Humans may share more genomic commonalities with other species than previously thought. According to current estimates, ~5% of the human genome is functionally constrained, which is a much larger fraction than the ~1.5% occupied by annotated protein-coding genes. Hence, ~3.5% of the human genome comprises likely functional conserved noncoding elements (CNEs) preserved among organisms, whose common ancestors existed throughout hundreds of millions of years of evolution. As whole-genome sequencing emerges as a standard procedure in genetic analyses, interpretation of variations in CNEs, including the elucidation of mechanistic and functional roles, becomes a necessity. Here, we discuss the phenomenon of noncoding conservation via four dimensions (sequence, regulatory conservation, spatiotemporal expression, and structure) and the potential significance of CNEs in phenotype variation and disease.
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Affiliation(s)
- Nicole A Leypold
- Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, 8010 Graz, Austria.
| | - Michael R Speicher
- Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, 8010 Graz, Austria; BioTechMed-Graz, Graz, Austria.
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40
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Laber S, Forcisi S, Bentley L, Petzold J, Moritz F, Smirnov KS, Al Sadat L, Williamson I, Strobel S, Agnew T, Sengupta S, Nicol T, Grallert H, Heier M, Honecker J, Mianne J, Teboul L, Dumbell R, Long H, Simon M, Lindgren C, Bickmore WA, Hauner H, Schmitt-Kopplin P, Claussnitzer M, Cox RD. Linking the FTO obesity rs1421085 variant circuitry to cellular, metabolic, and organismal phenotypes in vivo. SCIENCE ADVANCES 2021; 7:eabg0108. [PMID: 34290091 PMCID: PMC8294759 DOI: 10.1126/sciadv.abg0108] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 06/04/2021] [Indexed: 05/09/2023]
Abstract
Variants in FTO have the strongest association with obesity; however, it is still unclear how those noncoding variants mechanistically affect whole-body physiology. We engineered a deletion of the rs1421085 conserved cis-regulatory module (CRM) in mice and confirmed in vivo that the CRM modulates Irx3 and Irx5 gene expression and mitochondrial function in adipocytes. The CRM affects molecular and cellular phenotypes in an adipose depot-dependent manner and affects organismal phenotypes that are relevant for obesity, including decreased high-fat diet-induced weight gain, decreased whole-body fat mass, and decreased skin fat thickness. Last, we connected the CRM to a genetically determined effect on steroid patterns in males that was dependent on nutritional challenge and conserved across mice and humans. Together, our data establish cross-species conservation of the rs1421085 regulatory circuitry at the molecular, cellular, metabolic, and organismal level, revealing previously unknown contextual dependence of the variant's action.
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Affiliation(s)
- Samantha Laber
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK.
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sara Forcisi
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, Neuherberg, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Liz Bentley
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK
| | - Julia Petzold
- Institute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Franco Moritz
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, Neuherberg, Germany
| | - Kirill S Smirnov
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, Neuherberg, Germany
| | - Loubna Al Sadat
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Else Kröner-Fresenius-Centre for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Iain Williamson
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Sophie Strobel
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Thomas Agnew
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK
| | - Shahana Sengupta
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK
| | - Tom Nicol
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK
| | - Harald Grallert
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Center Munich, Germany
| | - Margit Heier
- KORA Study Center Augsburg, University Hospital of Augsburg, Augsburg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Munich, Germany
| | - Julius Honecker
- Else Kröner-Fresenius-Centre for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Joffrey Mianne
- Mary Lyon Centre, MRC Harwell Institute, Oxfordshire, UK
| | - Lydia Teboul
- Mary Lyon Centre, MRC Harwell Institute, Oxfordshire, UK
| | - Rebecca Dumbell
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK
| | - Helen Long
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK
- Nuffield Department of Medicine, University of Oxford, Henry Wellcome Building for Molecular Physiology, Old Road Campus, Headington, Oxford OX3 7BN, UK
| | - Michelle Simon
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK
| | - Cecilia Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Wendy A Bickmore
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Hans Hauner
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Else Kröner-Fresenius-Centre for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Philippe Schmitt-Kopplin
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Analytical Food Chemistry, Technical University of Munich, Freising, Germany
| | - Melina Claussnitzer
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Institute for Aging Research, Hebrew SeniorLife and Harvard Medical School, Boston, MA, USA
| | - Roger D Cox
- Mammalian Genetics Unit, MRC Harwell Institute, Oxfordshire OX11 0RD, UK.
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41
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Cheng L, Li Y, Qi Q, Xu P, Feng R, Palmer L, Chen J, Wu R, Yee T, Zhang J, Yao Y, Sharma A, Hardison RC, Weiss MJ, Cheng Y. Single-nucleotide-level mapping of DNA regulatory elements that control fetal hemoglobin expression. Nat Genet 2021; 53:869-880. [PMID: 33958780 PMCID: PMC8628368 DOI: 10.1038/s41588-021-00861-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 03/30/2021] [Indexed: 02/02/2023]
Abstract
Pinpointing functional noncoding DNA sequences and defining their contributions to health-related traits is a major challenge for modern genetics. We developed a high-throughput framework to map noncoding DNA functions with single-nucleotide resolution in four loci that control erythroid fetal hemoglobin (HbF) expression, a genetically determined trait that modifies sickle cell disease (SCD) phenotypes. Specifically, we used the adenine base editor ABEmax to introduce 10,156 separate A•T to G•C conversions in 307 predicted regulatory elements and quantified the effects on erythroid HbF expression. We identified numerous regulatory elements, defined their epigenomic structures and linked them to low-frequency variants associated with HbF expression in an SCD cohort. Targeting a newly discovered γ-globin gene repressor element in SCD donor CD34+ hematopoietic progenitors raised HbF levels in the erythroid progeny, inhibiting hypoxia-induced sickling. Our findings reveal previously unappreciated genetic complexities of HbF regulation and provide potentially therapeutic insights into SCD.
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Affiliation(s)
- Li Cheng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yichao Li
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Qian Qi
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Peng Xu
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ruopeng Feng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lance Palmer
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jingjing Chen
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ruiqiong Wu
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Tiffany Yee
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jingjing Zhang
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yu Yao
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Akshay Sharma
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ross C Hardison
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Mitchell J Weiss
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Yong Cheng
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN, USA.
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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42
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Radke DW, Sul JH, Balick DJ, Akle S, Green RC, Sunyaev SR. Purifying selection on noncoding deletions of human regulatory loci detected using their cellular pleiotropy. Genome Res 2021; 31:935-946. [PMID: 33963077 PMCID: PMC8168579 DOI: 10.1101/gr.275263.121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 04/16/2021] [Indexed: 12/20/2022]
Abstract
Genomic deletions provide a powerful loss-of-function model in noncoding regions to assess the role of purifying selection on genetic variation. Regulatory element function is characterized by nonuniform tissue and cell type activity, necessarily linking the study of fitness consequences from regulatory variants to their corresponding cellular activity. We generated a callset of deletions from genomes in the Alzheimer's Disease Neuroimaging Initiative (ADNI) and used deletions from The 1000 Genomes Project Consortium (1000GP) in order to examine whether purifying selection preserves noncoding sites of chromatin accessibility marked by DNase I hypersensitivity (DHS), histone modification (enhancer, transcribed, Polycomb-repressed, heterochromatin), and chromatin loop anchors. To examine this in a cellular activity-aware manner, we developed a statistical method, pleiotropy ratio score (PlyRS), which calculates a correlation-adjusted count of "cellular pleiotropy" for each noncoding base pair by analyzing shared regulatory annotations across tissues and cell types. By comparing real deletion PlyRS values to simulations in a length-matched framework and by using genomic covariates in analyses, we found that purifying selection acts to preserve both DHS and enhancer noncoding sites. However, we did not find evidence of purifying selection for noncoding transcribed, Polycomb-repressed, or heterochromatin sites beyond that of the noncoding background. Additionally, we found evidence that purifying selection is acting on chromatin loop integrity by preserving colocalized CTCF binding sites. At regions of DHS, enhancer, and CTCF within chromatin loop anchors, we found evidence that both sites of activity specific to a particular tissue or cell type and sites of cellularly pleiotropic activity are preserved by selection.
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Affiliation(s)
- David W Radke
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Jae Hoon Sul
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90095, USA
| | - Daniel J Balick
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Sebastian Akle
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Robert C Green
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Ariadne Labs, Boston, Massachusetts 02115, USA
| | - Shamil R Sunyaev
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
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43
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Chen D, Cremona MA, Qi Z, Mitra RD, Chiaromonte F, Makova KD. Human L1 Transposition Dynamics Unraveled with Functional Data Analysis. Mol Biol Evol 2021; 37:3576-3600. [PMID: 32722770 DOI: 10.1093/molbev/msaa194] [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] [Indexed: 12/14/2022] Open
Abstract
Long INterspersed Elements-1 (L1s) constitute >17% of the human genome and still actively transpose in it. Characterizing L1 transposition across the genome is critical for understanding genome evolution and somatic mutations. However, to date, L1 insertion and fixation patterns have not been studied comprehensively. To fill this gap, we investigated three genome-wide data sets of L1s that integrated at different evolutionary times: 17,037 de novo L1s (from an L1 insertion cell-line experiment conducted in-house), and 1,212 polymorphic and 1,205 human-specific L1s (from public databases). We characterized 49 genomic features-proxying chromatin accessibility, transcriptional activity, replication, recombination, etc.-in the ±50 kb flanks of these elements. These features were contrasted between the three L1 data sets and L1-free regions using state-of-the-art Functional Data Analysis statistical methods, which treat high-resolution data as mathematical functions. Our results indicate that de novo, polymorphic, and human-specific L1s are surrounded by different genomic features acting at specific locations and scales. This led to an integrative model of L1 transposition, according to which L1s preferentially integrate into open-chromatin regions enriched in non-B DNA motifs, whereas they are fixed in regions largely free of purifying selection-depleted of genes and noncoding most conserved elements. Intriguingly, our results suggest that L1 insertions modify local genomic landscape by extending CpG methylation and increasing mononucleotide microsatellite density. Altogether, our findings substantially facilitate understanding of L1 integration and fixation preferences, pave the way for uncovering their role in aging and cancer, and inform their use as mutagenesis tools in genetic studies.
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Affiliation(s)
- Di Chen
- Intercollege Graduate Degree Program in Genetics, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA
| | - Marzia A Cremona
- Department of Statistics, The Pennsylvania State University, University Park, PA.,Department of Operations and Decision Systems, Université Laval, Québec, Canada
| | - Zongtai Qi
- Department of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO
| | - Robi D Mitra
- Department of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO
| | - Francesca Chiaromonte
- Department of Statistics, The Pennsylvania State University, University Park, PA.,EMbeDS, Sant'Anna School of Advanced Studies, Pisa, Italy.,The Huck Institutes of the Life Sciences, Center for Medical Genomics, The Pennsylvania State University, University Park, PA
| | - Kateryna D Makova
- The Huck Institutes of the Life Sciences, Center for Medical Genomics, The Pennsylvania State University, University Park, PA.,Department of Biology, The Pennsylvania State University, University Park, PA
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44
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Kwon SB, Ernst J. Learning a genome-wide score of human-mouse conservation at the functional genomics level. Nat Commun 2021; 12:2495. [PMID: 33941776 PMCID: PMC8093196 DOI: 10.1038/s41467-021-22653-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 03/24/2021] [Indexed: 01/06/2023] Open
Abstract
Identifying genomic regions with functional genomic properties that are conserved between human and mouse is an important challenge in the context of mouse model studies. To address this, we develop a method to learn a score of evidence of conservation at the functional genomics level by integrating information from a compendium of epigenomic, transcription factor binding, and transcriptomic data from human and mouse. The method, Learning Evidence of Conservation from Integrated Functional genomic annotations (LECIF), trains neural networks to generate this score for the human and mouse genomes. The resulting LECIF score highlights human and mouse regions with shared functional genomic properties and captures correspondence of biologically similar human and mouse annotations. Analysis with independent datasets shows the score also highlights loci associated with similar phenotypes in both species. LECIF will be a resource for mouse model studies by identifying loci whose functional genomic properties are likely conserved.
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Affiliation(s)
- Soo Bin Kwon
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA.,Department of Biological Chemistry, University of California, Los Angeles, CA, USA
| | - Jason Ernst
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA. .,Department of Biological Chemistry, University of California, Los Angeles, CA, USA. .,Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research at University of California, Los Angeles, CA, USA. .,Computer Science Department, University of California, Los Angeles, CA, USA. .,Department of Computational Medicine, University of California, Los Angeles, CA, USA. .,Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA. .,Molecular Biology Institute, University of California, Los Angeles, CA, USA.
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45
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Lindner L, Cayrou P, Rosahl TW, Zhou HH, Birling MC, Herault Y, Pavlovic G. Droplet digital PCR or quantitative PCR for in-depth genomic and functional validation of genetically altered rodents. Methods 2021; 191:107-119. [PMID: 33838271 DOI: 10.1016/j.ymeth.2021.04.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/24/2021] [Accepted: 04/01/2021] [Indexed: 12/12/2022] Open
Abstract
Gene targeting and additive (random) transgenesis have proven to be powerful technologies with which to decipher the mammalian genome. With the advent of CRISPR/Cas9 genome editing, the ability to inactivate or modify the function of a gene has become even more accessible. However, the impact of each generated modification may be different from what was initially desired. Minimal validation of mutant alleles from genetically altered (GA) rodents remains essential to guarantee the interpretation of experimental results. The protocol described here combines design strategies for genomic and functional validation of genetically modified alleles with droplet digital PCR (ddPCR) or quantitative PCR (qPCR) for target DNA or mRNA quantification. In-depth analysis of the results obtained with GA models through the analysis of target DNA and mRNA quantification is also provided, to evaluate which pitfalls can be detected using these two methods, and we propose recommendations for the characterization of different type of mutant allele (knock-out, knock-in, conditional knock-out, FLEx, IKMC model or transgenic). Our results also highlight the possibility that mRNA expression of any mutated allele can be different from what might be expected in theory or according to common assumptions. For example, mRNA analyses on knock-out lines showed that nonsense-mediated mRNA decay is generally not achieved with a critical-exon approach. Likewise, comparison of multiple conditional lines crossed with the same CreERT2 deleter showed that the inactivation outcome was very different for each conditional model. DNA quantification by ddPCR of G0 to G2 generations of transgenic rodents generated by pronuclear injection showed an unexpected variability, demonstrating that G1 generation rodents cannot be considered as established lines.
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Affiliation(s)
- Loic Lindner
- PHENOMIN-Institut Clinique de la Souris, CELPHEDIA, CNRS, INSERM, Université de Strasbourg, Illkirch-Graffenstaden, Strasbourg 67404, France
| | - Pauline Cayrou
- PHENOMIN-Institut Clinique de la Souris, CELPHEDIA, CNRS, INSERM, Université de Strasbourg, Illkirch-Graffenstaden, Strasbourg 67404, France
| | - Thomas W Rosahl
- Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ 07033, USA
| | - Heather H Zhou
- Merck & Co., Inc., 2000 Galloping Hill Rd, Kenilworth, NJ 07033, USA
| | - Marie-Christine Birling
- PHENOMIN-Institut Clinique de la Souris, CELPHEDIA, CNRS, INSERM, Université de Strasbourg, Illkirch-Graffenstaden, Strasbourg 67404, France
| | - Yann Herault
- PHENOMIN-Institut Clinique de la Souris, CELPHEDIA, CNRS, INSERM, Université de Strasbourg, Illkirch-Graffenstaden, Strasbourg 67404, France
| | - Guillaume Pavlovic
- PHENOMIN-Institut Clinique de la Souris, CELPHEDIA, CNRS, INSERM, Université de Strasbourg, Illkirch-Graffenstaden, Strasbourg 67404, France.
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46
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The Multifaceted Role and Utility of MicroRNAs in Indolent B-Cell Non-Hodgkin Lymphomas. Biomedicines 2021; 9:biomedicines9040333. [PMID: 33806113 PMCID: PMC8064455 DOI: 10.3390/biomedicines9040333] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/14/2021] [Accepted: 03/18/2021] [Indexed: 02/07/2023] Open
Abstract
Normal B-cell development is a tightly regulated complex procedure, the deregulation of which can lead to lymphomagenesis. One common group of blood cancers is the B-cell non-Hodgkin lymphomas (NHLs), which can be categorized according to the proliferation and spread rate of cancer cells into indolent and aggressive ones. The most frequent indolent B-cell NHLs are follicular lymphoma and marginal zone lymphoma. MicroRNAs (miRNAs) are small non-coding RNAs that can greatly influence protein expression. Based on the multiple interactions among miRNAs and their targets, complex networks of gene expression regulation emerge, which normally are essential for proper B-cell development. Multiple miRNAs have been associated with B-cell lymphomas, as the deregulation of these complex networks can lead to such pathological states. The aim of the present review is to summarize the existing information regarding the multifaceted role of miRNAs in indolent B-cell NHLs, affecting the main B-cell subpopulations. We attempt to provide insight into their biological function, the complex miRNA-mRNA interactions, and their biomarker utility in these malignancies. Lastly, we address the limitations that hinder the investigation of the role of miRNAs in these lymphomas and discuss ways that these problems could be overcome in the future.
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47
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Kern C, Wang Y, Xu X, Pan Z, Halstead M, Chanthavixay G, Saelao P, Waters S, Xiang R, Chamberlain A, Korf I, Delany ME, Cheng HH, Medrano JF, Van Eenennaam AL, Tuggle CK, Ernst C, Flicek P, Quon G, Ross P, Zhou H. Functional annotations of three domestic animal genomes provide vital resources for comparative and agricultural research. Nat Commun 2021; 12:1821. [PMID: 33758196 PMCID: PMC7988148 DOI: 10.1038/s41467-021-22100-8] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 03/01/2021] [Indexed: 01/31/2023] Open
Abstract
Gene regulatory elements are central drivers of phenotypic variation and thus of critical importance towards understanding the genetics of complex traits. The Functional Annotation of Animal Genomes consortium was formed to collaboratively annotate the functional elements in animal genomes, starting with domesticated animals. Here we present an expansive collection of datasets from eight diverse tissues in three important agricultural species: chicken (Gallus gallus), pig (Sus scrofa), and cattle (Bos taurus). Comparative analysis of these datasets and those from the human and mouse Encyclopedia of DNA Elements projects reveal that a core set of regulatory elements are functionally conserved independent of divergence between species, and that tissue-specific transcription factor occupancy at regulatory elements and their predicted target genes are also conserved. These datasets represent a unique opportunity for the emerging field of comparative epigenomics, as well as the agricultural research community, including species that are globally important food resources.
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Affiliation(s)
- Colin Kern
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Ying Wang
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Xiaoqin Xu
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Zhangyuan Pan
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Michelle Halstead
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Ganrea Chanthavixay
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Perot Saelao
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Susan Waters
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Ruidong Xiang
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, VIC, Australia
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
| | - Amanda Chamberlain
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
| | - Ian Korf
- Genome Center, University of California, Davis, Davis, CA, USA
| | - Mary E Delany
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Hans H Cheng
- USDA-ARS, Avian Disease and Oncology Laboratory, East Lansing, MI, USA
| | - Juan F Medrano
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | | | - Chris K Tuggle
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Catherine Ernst
- Department of Animal Science, Michigan State University, East Lansing, MI, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Gerald Quon
- Department of Molecular and Cellular Biology, University of California, David, Davis, CA, USA
| | - Pablo Ross
- Department of Animal Science, University of California, Davis, Davis, CA, USA.
| | - Huaijun Zhou
- Department of Animal Science, University of California, Davis, Davis, CA, USA.
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48
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Vichi J, Salazar E, Jacinto VJ, Rodriguez LO, Grande R, Dantán-González E, Morett E, Hernández-Mendoza A. High-throughput transcriptome sequencing and comparative analysis of Escherichia coli and Schizosaccharomyces pombe in respiratory and fermentative growth. PLoS One 2021; 16:e0248513. [PMID: 33730068 PMCID: PMC7968713 DOI: 10.1371/journal.pone.0248513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 02/26/2021] [Indexed: 12/13/2022] Open
Abstract
In spite of increased complexity in eukaryotes compared to prokaryotes, several basic metabolic and regulatory processes are conserved. Here we explored analogies in the eubacteria Escherichia coli and the unicellular fission yeast Schizosaccharomyces pombe transcriptomes under two carbon sources: 2% glucose; or a mix of 2% glycerol and 0.2% sodium acetate using the same growth media and growth phase. Overall, twelve RNA-seq libraries were constructed. A total of 593 and 860 genes were detected as differentially expressed for E. coli and S. pombe, respectively, with a log2 of the Fold Change ≥ 1 and False Discovery Rate ≤ 0.05. In aerobic glycolysis, most of the expressed genes were associated with cell proliferation in both organisms, including amino acid metabolism and glycolysis. In contrast in glycerol/acetate condition, genes related to flagellar assembly and membrane proteins were differentially expressed such as the general transcription factors fliA, flhD, flhC, and flagellum assembly genes were detected in E. coli, whereas in S. pombe genes for hexose transporters, integral membrane proteins, galactose metabolism, and ncRNAs related to cellular stress were overexpressed. In general, our study shows that a conserved "foraging behavior" response is observed in these eukaryotic and eubacterial organisms in gluconeogenic carbon sources.
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Affiliation(s)
- Joivier Vichi
- Centro de Investigación en Dinámica Celular, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México
| | - Emmanuel Salazar
- Centro de Investigación en Dinámica Celular, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México
| | - Verónica Jiménez Jacinto
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México
| | - Leticia Olvera Rodriguez
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México
| | - Ricardo Grande
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México
| | - Edgar Dantán-González
- Centro de Investigación en Biotecnología, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México
| | - Enrique Morett
- Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México
| | - Armando Hernández-Mendoza
- Centro de Investigación en Dinámica Celular, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México
- * E-mail:
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49
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PHACTR1 genetic variability is not critical in small vessel ischemic disease patients and PcomA recruitment in C57BL/6J mice. Sci Rep 2021; 11:6072. [PMID: 33727568 PMCID: PMC7966789 DOI: 10.1038/s41598-021-84919-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 02/04/2021] [Indexed: 11/29/2022] Open
Abstract
Recently, several genome-wide association studies identified PHACTR1 as key locus for five diverse vascular disorders: coronary artery disease, migraine, fibromuscular dysplasia, cervical artery dissection and hypertension. Although these represent significant risk factors or comorbidities for ischemic stroke, PHACTR1 role in brain small vessel ischemic disease and ischemic stroke most important survival mechanism, such as the recruitment of brain collateral arteries like posterior communicating arteries (PcomAs), remains unknown. Therefore, we applied exome and genome sequencing in a multi-ethnic cohort of 180 early-onset independent familial and apparently sporadic brain small vessel ischemic disease and CADASIL-like Caucasian patients from US, Portugal, Finland, Serbia and Turkey and in 2 C57BL/6J stroke mouse models (bilateral common carotid artery stenosis [BCCAS] and middle cerebral artery occlusion [MCAO]), characterized by different degrees of PcomAs patency. We report 3 very rare coding variants in the small vessel ischemic disease-CADASIL-like cohort (p.Glu198Gln, p.Arg204Gly, p.Val251Leu) and a stop-gain mutation (p.Gln273*) in one MCAO mouse. These coding variants do not cluster in PHACTR1 known pathogenic domains and are not likely to play a critical role in small vessel ischemic disease or brain collateral circulation. We also exclude the possibility that copy number variants (CNVs) or a variant enrichment in Phactr1 may be associated with PcomA recruitment in BCCAS mice or linked to diverse vascular traits (cerebral blood flow pre-surgery, PcomA size, leptomeningeal microcollateral length and junction density during brain hypoperfusion) in C57BL/6J mice, respectively. Genetic variability in PHACTR1 is not likely to be a common susceptibility factor influencing small vessel ischemic disease in patients and PcomA recruitment in C57BL/6J mice. Nonetheless, rare variants in PHACTR1 RPEL domains may influence the stroke outcome and are worth investigating in a larger cohort of small vessel ischemic disease patients, different ischemic stroke subtypes and with functional studies.
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50
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von Scheidt M, Zhao Y, de Aguiar Vallim TQ, Che N, Wierer M, Seldin MM, Franzén O, Kurt Z, Pang S, Bongiovanni D, Yamamoto M, Edwards PA, Ruusalepp A, Kovacic JC, Mann M, Björkegren JLM, Lusis AJ, Yang X, Schunkert H. Transcription Factor MAFF (MAF Basic Leucine Zipper Transcription Factor F) Regulates an Atherosclerosis Relevant Network Connecting Inflammation and Cholesterol Metabolism. Circulation 2021; 143:1809-1823. [PMID: 33626882 DOI: 10.1161/circulationaha.120.050186] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Coronary artery disease (CAD) is a multifactorial condition with both genetic and exogenous causes. The contribution of tissue-specific functional networks to the development of atherosclerosis remains largely unclear. The aim of this study was to identify and characterize central regulators and networks leading to atherosclerosis. METHODS Based on several hundred genes known to affect atherosclerosis risk in mouse (as demonstrated in knockout models) and human (as shown by genome-wide association studies), liver gene regulatory networks were modeled. The hierarchical order and regulatory directions of genes within the network were based on Bayesian prediction models, as well as experimental studies including chromatin immunoprecipitation DNA-sequencing, chromatin immunoprecipitation mass spectrometry, overexpression, small interfering RNA knockdown in mouse and human liver cells, and knockout mouse experiments. Bioinformatics and correlation analyses were used to clarify associations between central genes and CAD phenotypes in both human and mouse. RESULTS The transcription factor MAFF (MAF basic leucine zipper transcription factor F) interacted as a key driver of a liver network with 3 human genes at CAD genome-wide association studies loci and 11 atherosclerotic murine genes. Most importantly, expression levels of the low-density lipoprotein receptor (LDLR) gene correlated with MAFF in 600 CAD patients undergoing bypass surgery (STARNET [Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task]) and a hybrid mouse diversity panel involving 105 different inbred mouse strains. Molecular mechanisms of MAFF were tested in noninflammatory conditions and showed positive correlation between MAFF and LDLR in vitro and in vivo. Interestingly, after lipopolysaccharide stimulation (inflammatory conditions), an inverse correlation between MAFF and LDLR in vitro and in vivo was observed. Chromatin immunoprecipitation mass spectrometry revealed that the human CAD genome-wide association studies candidate BACH1 (BTB domain and CNC homolog 1) assists MAFF in the presence of lipopolysaccharide stimulation with respective heterodimers binding at the MAF recognition element of the LDLR promoter to transcriptionally downregulate LDLR expression. CONCLUSIONS The transcription factor MAFF was identified as a novel central regulator of an atherosclerosis/CAD-relevant liver network. MAFF triggered context-specific expression of LDLR and other genes known to affect CAD risk. Our results suggest that MAFF is a missing link between inflammation, lipid and lipoprotein metabolism, and a possible treatment target.
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Affiliation(s)
- Moritz von Scheidt
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (M.v.S., S.P., H.S.).,Deutsches Zentrum für Herz- und Kreislauferkrankungen, Partner Site Munich Heart Alliance, Germany (M.v.S., D.B., H.S.)
| | | | - Thomas Q de Aguiar Vallim
- Departments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.,Biological Chemistry (T.Q.d.A.V., P.A.E.), David Geffen School of Medicine, University of California, Los Angeles
| | - Nam Che
- Departments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.,Microbiology, Immunology and Molecular Genetics (N.C., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.,Human Genetics (N.C., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles
| | - Michael Wierer
- Department of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Martinsried, Germany (M.W., M.M.)
| | - Marcus M Seldin
- Department of Biological Chemistry and Center for Epigenetics and Metabolism, University of California, Irvine (M.M.S.)
| | - Oscar Franzén
- Integrated Cardio Metabolic Centre, Karolinska Institutet, Novum, Huddinge, Sweden (O.F., J.L.M.B.)
| | - Zeyneb Kurt
- Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom (Z.K.)
| | - Shichao Pang
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (M.v.S., S.P., H.S.)
| | - Dario Bongiovanni
- Deutsches Zentrum für Herz- und Kreislauferkrankungen, Partner Site Munich Heart Alliance, Germany (M.v.S., D.B., H.S.).,Department of Internal Medicine, School of Medicine, University Hospital Rechts der Isar, Technical University of Munich, Germany (D.B.)
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan (M.Y.)
| | - Peter A Edwards
- Departments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.,Biological Chemistry (T.Q.d.A.V., P.A.E.), David Geffen School of Medicine, University of California, Los Angeles
| | - Arno Ruusalepp
- Department of Cardiac Surgery, Tartu University Hospital, Estonia (A.R.).,Clinical Gene Networks AB, Stockholm, Sweden (A.R., J.L.M.B.)
| | - Jason C Kovacic
- Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York (J.C.K., J.L.M.B.)
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Martinsried, Germany (M.W., M.M.)
| | - Johan L M Björkegren
- Integrated Cardio Metabolic Centre, Karolinska Institutet, Novum, Huddinge, Sweden (O.F., J.L.M.B.).,Clinical Gene Networks AB, Stockholm, Sweden (A.R., J.L.M.B.).,Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York (J.C.K., J.L.M.B.)
| | - Aldons J Lusis
- Departments of Medicine (T.Q.d.A.V., N.C., P.A.E., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.,Microbiology, Immunology and Molecular Genetics (N.C., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles.,Human Genetics (N.C., A.J.L.), David Geffen School of Medicine, University of California, Los Angeles
| | - Xia Yang
- Department of Integrative Biology and Physiology, Institute for Quantitative and Computational Biosciences (Y.Z., X.Y.), David Geffen School of Medicine, University of California, Los Angeles
| | - Heribert Schunkert
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (M.v.S., S.P., H.S.).,Deutsches Zentrum für Herz- und Kreislauferkrankungen, Partner Site Munich Heart Alliance, Germany (M.v.S., D.B., H.S.)
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