1
|
Liu B, He Y, Wu X, Lin Z, Ma J, Qiu Y, Xiang Y, Kong F, Lai F, Pal M, Wang P, Ming J, Zhang B, Wang Q, Wu J, Xia W, Shen W, Na J, Torres-Padilla ME, Li J, Xie W. Mapping putative enhancers in mouse oocytes and early embryos reveals TCF3/12 as key folliculogenesis regulators. Nat Cell Biol 2024; 26:962-974. [PMID: 38839978 DOI: 10.1038/s41556-024-01422-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/11/2024] [Indexed: 06/07/2024]
Abstract
Dynamic epigenomic reprogramming occurs during mammalian oocyte maturation and early development. However, the underlying transcription circuitry remains poorly characterized. By mapping cis-regulatory elements using H3K27ac, we identified putative enhancers in mouse oocytes and early embryos distinct from those in adult tissues, enabling global transitions of regulatory landscapes around fertilization and implantation. Gene deserts harbour prevalent putative enhancers in fully grown oocytes linked to oocyte-specific genes and repeat activation. Embryo-specific enhancers are primed before zygotic genome activation and are restricted by oocyte-inherited H3K27me3. Putative enhancers in oocytes often manifest H3K4me3, bidirectional transcription, Pol II binding and can drive transcription in STARR-seq and a reporter assay. Finally, motif analysis of these elements identified crucial regulators of oogenesis, TCF3 and TCF12, the deficiency of which impairs activation of key oocyte genes and folliculogenesis. These data reveal distinctive regulatory landscapes and their interacting transcription factors that underpin the development of mammalian oocytes and early embryos.
Collapse
Affiliation(s)
- Bofeng Liu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Yuanlin He
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Innovation Center of Suzhou Nanjing Medical University, Suzhou, China
| | - Xiaotong Wu
- Tsinghua-Peking Center for Life Sciences, Beijing, China
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, Tsinghua University, Beijing, China
| | - Zili Lin
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Jing Ma
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Yuexin Qiu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Yunlong Xiang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Feng Kong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Fangnong Lai
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Mrinmoy Pal
- Institute of Epigenetics and Stem Cells (IES), Helmholtz Zentrum München, Munich, Germany
| | - Peizhe Wang
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | - Jia Ming
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | - Bingjie Zhang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Qiujun Wang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Jingyi Wu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Weikun Xia
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Weimin Shen
- Tsinghua-Peking Center for Life Sciences, Beijing, China
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, Tsinghua University, Beijing, China
| | - Jie Na
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | | | - Jing Li
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
- Innovation Center of Suzhou Nanjing Medical University, Suzhou, China.
| | - Wei Xie
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China.
- Tsinghua-Peking Center for Life Sciences, Beijing, China.
| |
Collapse
|
2
|
Jakobsen ST, Jensen RAM, Madsen MS, Ravnsborg T, Vaagenso CS, Siersbæk MS, Einarsson H, Andersson R, Jensen ON, Siersbæk R. MYC activity at enhancers drives prognostic transcriptional programs through an epigenetic switch. Nat Genet 2024; 56:663-674. [PMID: 38454021 DOI: 10.1038/s41588-024-01676-z] [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: 02/22/2023] [Accepted: 01/30/2024] [Indexed: 03/09/2024]
Abstract
The transcription factor MYC is overexpressed in most cancers, where it drives multiple hallmarks of cancer progression. MYC is known to promote oncogenic transcription by binding to active promoters. In addition, MYC has also been shown to invade distal enhancers when expressed at oncogenic levels, but this enhancer binding has been proposed to have low gene-regulatory potential. Here, we demonstrate that MYC directly regulates enhancer activity to promote cancer type-specific gene programs predictive of poor patient prognosis. MYC induces transcription of enhancer RNA through recruitment of RNA polymerase II (RNAPII), rather than regulating RNAPII pause-release, as is the case at promoters. This process is mediated by MYC-induced H3K9 demethylation and acetylation by GCN5, leading to enhancer-specific BRD4 recruitment through its bromodomains, which facilitates RNAPII recruitment. We propose that MYC drives prognostic cancer type-specific gene programs through induction of an enhancer-specific epigenetic switch, which can be targeted by BET and GCN5 inhibitors.
Collapse
Affiliation(s)
- Simon T Jakobsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Rikke A M Jensen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Maria S Madsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Tina Ravnsborg
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | | | - Majken S Siersbæk
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Hjorleifur Einarsson
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robin Andersson
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ole N Jensen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Rasmus Siersbæk
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
| |
Collapse
|
3
|
Cackett G, Sýkora M, Portugal R, Dulson C, Dixon L, Werner F. Transcription termination and readthrough in African swine fever virus. Front Immunol 2024; 15:1350267. [PMID: 38545109 PMCID: PMC10965686 DOI: 10.3389/fimmu.2024.1350267] [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: 12/05/2023] [Accepted: 01/30/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction African swine fever virus (ASFV) is a nucleocytoplasmic large DNA virus (NCLDV) that encodes its own host-like RNA polymerase (RNAP) and factors required to produce mature mRNA. The formation of accurate mRNA 3' ends by ASFV RNAP depends on transcription termination, likely enabled by a combination of sequence motifs and transcription factors, although these are poorly understood. The termination of any RNAP is rarely 100% efficient, and the transcriptional "readthrough" at terminators can generate long mRNAs which may interfere with the expression of downstream genes. ASFV transcriptome analyses reveal a landscape of heterogeneous mRNA 3' termini, likely a combination of bona fide termination sites and the result of mRNA degradation and processing. While short-read sequencing (SRS) like 3' RNA-seq indicates an accumulation of mRNA 3' ends at specific sites, it cannot inform about which promoters and transcription start sites (TSSs) directed their synthesis, i.e., information about the complete and unprocessed mRNAs at nucleotide resolution. Methods Here, we report a rigorous analysis of full-length ASFV transcripts using long-read sequencing (LRS). We systematically compared transcription termination sites predicted from SRS 3' RNA-seq with 3' ends mapped by LRS during early and late infection. Results Using in-vitro transcription assays, we show that recombinant ASFV RNAP terminates transcription at polyT stretches in the non-template strand, similar to the archaeal RNAP or eukaryotic RNAPIII, unaided by secondary RNA structures or predicted viral termination factors. Our results cement this T-rich motif (U-rich in the RNA) as a universal transcription termination signal in ASFV. Many genes share the usage of the same terminators, while genes can also use a range of terminators to generate transcript isoforms varying enormously in length. A key factor in the latter phenomenon is the highly abundant terminator readthrough we observed, which is more prevalent during late compared with early infection. Discussion This indicates that ASFV mRNAs under the control of late gene promoters utilize different termination mechanisms and factors to early promoters and/or that cellular factors influence the viral transcriptome landscape differently during the late stages of infection.
Collapse
Affiliation(s)
- Gwenny Cackett
- Institute for Structural and Molecular Biology, University College London, London, United Kingdom
| | - Michal Sýkora
- Institute for Structural and Molecular Biology, University College London, London, United Kingdom
| | | | - Christopher Dulson
- Institute for Structural and Molecular Biology, University College London, London, United Kingdom
| | - Linda Dixon
- Pirbright Institute, Pirbright, Surrey, United Kingdom
| | - Finn Werner
- Institute for Structural and Molecular Biology, University College London, London, United Kingdom
| |
Collapse
|
4
|
Elhai M, Micheroli R, Houtman M, Mirrahimi M, Moser L, Pauli C, Bürki K, Laimbacher A, Kania G, Klein K, Schätzle P, Frank Bertoncelj M, Edalat SG, Keusch L, Khmelevskaya A, Toitou M, Geiss C, Rauer T, Sakkou M, Kollias G, Armaka M, Distler O, Ospelt C. The long non-coding RNA HOTAIR contributes to joint-specific gene expression in rheumatoid arthritis. Nat Commun 2023; 14:8172. [PMID: 38071204 PMCID: PMC10710443 DOI: 10.1038/s41467-023-44053-w] [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: 02/02/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
Although patients with rheumatoid arthritis (RA) typically exhibit symmetrical joint involvement, some patients develop alternative disease patterns in response to treatment, suggesting that different molecular mechanism may underlie disease progression depending on joint location. Here, we identify joint-specific changes in RA synovium and synovial fibroblasts (SF) between knee and hand joints. We show that the long non-coding RNA HOTAIR, which is only expressed in knee SF, regulates more than 50% of this site-specific gene expression in SF. HOTAIR is downregulated after stimulation with pro-inflammatory cytokines and is expressed at lower levels in knee samples from patients with RA, compared with osteoarthritis. Knockdown of HOTAIR in knee SF increases PI-Akt signalling and IL-6 production, but reduces Wnt signalling. Silencing HOTAIR inhibits the migratory function of SF, decreases SF-mediated osteoclastogenesis, and increases the recruitment of B cells by SF. We propose that HOTAIR is an important epigenetic factor in joint-specific gene expression in RA.
Collapse
Affiliation(s)
- Muriel Elhai
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Raphael Micheroli
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Miranda Houtman
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Masoumeh Mirrahimi
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Larissa Moser
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Chantal Pauli
- Institute for Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Kristina Bürki
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Andrea Laimbacher
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Gabriela Kania
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Kerstin Klein
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
- Department of BioMedical Research, University of Bern, Bern, Switzerland
- Department of Rheumatology and Immunology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Mojca Frank Bertoncelj
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Sam G Edalat
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Leandra Keusch
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Alexandra Khmelevskaya
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Melpomeni Toitou
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Celina Geiss
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Thomas Rauer
- Department of Trauma Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Maria Sakkou
- Institute for Bioinnovation, Biomedical Sciences Research Center (BSRC) 'Alexander Fleming', Vari, Greece
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - George Kollias
- Institute for Bioinnovation, Biomedical Sciences Research Center (BSRC) 'Alexander Fleming', Vari, Greece
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Marietta Armaka
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari, Greece
| | - Oliver Distler
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Caroline Ospelt
- Center of Experimental Rheumatology, Department of Rheumatology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland.
| |
Collapse
|
5
|
Nguyen LAC, Mori M, Yasuda Y, Galipon J. Functional Consequences of Shifting Transcript Boundaries in Glucose Starvation. Mol Cell Biol 2023; 43:611-628. [PMID: 37937348 PMCID: PMC10761120 DOI: 10.1080/10985549.2023.2270406] [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: 07/11/2023] [Accepted: 10/10/2023] [Indexed: 11/09/2023] Open
Abstract
Glucose is a major source of carbon and essential for the survival of many organisms, ranging from yeast to human. A sudden 60-fold reduction of glucose in exponentially growing fission yeast induces transcriptome-wide changes in gene expression. This regulation is multilayered, and the boundaries of transcripts are known to vary, with functional consequences at the protein level. By combining direct RNA sequencing with 5'-CAGE and short-read sequencing, we accurately defined the 5'- and 3'-ends of transcripts that are both poly(A) tailed and 5'-capped in glucose starvation, followed by proteome analysis. Our results confirm previous experimentally validated loci with alternative isoforms and reveal several transcriptome-wide patterns. First, we show that sense-antisense gene pairs are more strongly anticorrelated when a time lag is taken into account. Second, we show that the glucose starvation response initially elicits a shortening of 3'-UTRs and poly(A) tails, followed by a shortening of the 5'-UTRs at later time points. These result in domain gains and losses in proteins involved in the stress response. Finally, the relatively poor overlap both between differentially expressed genes (DEGs), differential transcript usage events (DTUs), and differentially detected proteins (DDPs) highlight the need for further study on post-transcriptional regulation mechanisms in glucose starvation.
Collapse
Affiliation(s)
- Lan Anh Catherine Nguyen
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka, Japan
- Systems Biology Program, Graduate School of Media and Governance, Keio University, Kanagawa, Fujisawa, Japan
| | - Masaru Mori
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka, Japan
- Systems Biology Program, Graduate School of Media and Governance, Keio University, Kanagawa, Fujisawa, Japan
- Institute of Innovation for Future Society, Nagoya University, Aichi, Nagoya, Japan
| | - Yuji Yasuda
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka, Japan
- Faculty of Environment and Information Studies, Keio University, Kanagawa, Fujisawa, Japan
| | - Josephine Galipon
- Institute for Advanced Biosciences, Keio University, Yamagata, Tsuruoka, Japan
- Systems Biology Program, Graduate School of Media and Governance, Keio University, Kanagawa, Fujisawa, Japan
- Graduate School of Science and Engineering, Yamagata University, Yamagata, Yonezawa, Japan
| |
Collapse
|
6
|
Carrion SA, Michal JJ, Jiang Z. Alternative Transcripts Diversify Genome Function for Phenome Relevance to Health and Diseases. Genes (Basel) 2023; 14:2051. [PMID: 38002994 PMCID: PMC10671453 DOI: 10.3390/genes14112051] [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: 10/13/2023] [Revised: 11/06/2023] [Accepted: 11/07/2023] [Indexed: 11/26/2023] Open
Abstract
Manipulation using alternative exon splicing (AES), alternative transcription start (ATS), and alternative polyadenylation (APA) sites are key to transcript diversity underlying health and disease. All three are pervasive in organisms, present in at least 50% of human protein-coding genes. In fact, ATS and APA site use has the highest impact on protein identity, with their ability to alter which first and last exons are utilized as well as impacting stability and translation efficiency. These RNA variants have been shown to be highly specific, both in tissue type and stage, with demonstrated importance to cell proliferation, differentiation and the transition from fetal to adult cells. While alternative exon splicing has a limited effect on protein identity, its ubiquity highlights the importance of these minor alterations, which can alter other features such as localization. The three processes are also highly interwoven, with overlapping, complementary, and competing factors, RNA polymerase II and its CTD (C-terminal domain) chief among them. Their role in development means dysregulation leads to a wide variety of disorders and cancers, with some forms of disease disproportionately affected by specific mechanisms (AES, ATS, or APA). Challenges associated with the genome-wide profiling of RNA variants and their potential solutions are also discussed in this review.
Collapse
Affiliation(s)
| | | | - Zhihua Jiang
- Department of Animal Sciences and Center for Reproductive Biology, Washington State University, Pullman, WA 99164-7620, USA; (S.A.C.); (J.J.M.)
| |
Collapse
|
7
|
Torma G, Tombácz D, Csabai Z, Almsarrhad IAA, Nagy GÁ, Kakuk B, Gulyás G, Spires LM, Gupta I, Fülöp Á, Dörmő Á, Prazsák I, Mizik M, Dani VÉ, Csányi V, Harangozó Á, Zádori Z, Toth Z, Boldogkői Z. Identification of herpesvirus transcripts from genomic regions around the replication origins. Sci Rep 2023; 13:16395. [PMID: 37773348 PMCID: PMC10541914 DOI: 10.1038/s41598-023-43344-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: 05/16/2023] [Accepted: 09/22/2023] [Indexed: 10/01/2023] Open
Abstract
Long-read sequencing (LRS) techniques enable the identification of full-length RNA molecules in a single run eliminating the need for additional assembly steps. LRS research has exposed unanticipated transcriptomic complexity in various organisms, including viruses. Herpesviruses are known to produce a range of transcripts, either close to or overlapping replication origins (Oris) and neighboring genes related to transcription or replication, which possess confirmed or potential regulatory roles. In our research, we employed both new and previously published LRS and short-read sequencing datasets to uncover additional Ori-proximal transcripts in nine herpesviruses from all three subfamilies (alpha, beta and gamma). We discovered novel long non-coding RNAs, as well as splice and length isoforms of mRNAs. Moreover, our analysis uncovered an intricate network of transcriptional overlaps within the examined genomic regions. We demonstrated that herpesviruses display distinct patterns of transcriptional overlaps in the vicinity of or at the Oris. Our findings suggest the existence of a 'super regulatory center' in the genome of alphaherpesviruses that governs the initiation of both DNA replication and global transcription through multilayered interactions among the molecular machineries.
Collapse
Affiliation(s)
- Gábor Torma
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
- MTA -SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
- MTA -SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary
| | - Islam A A Almsarrhad
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Gergely Ármin Nagy
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Balázs Kakuk
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
- MTA -SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary
| | - Gábor Gulyás
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
- MTA -SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary
| | - Lauren McKenzie Spires
- Department of Oral Biology, University of Florida College of Dentistry, Gainesville, FL, USA
| | - Ishaan Gupta
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Delhi, India
| | - Ádám Fülöp
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Ákos Dörmő
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
- MTA -SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary
| | - István Prazsák
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
- MTA -SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary
| | - Máté Mizik
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Virág Éva Dani
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Viktor Csányi
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Ákos Harangozó
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary
| | - Zoltán Zádori
- HUN-REN Veterinary Medical Research Institute HU, Budapest, Hungary
| | - Zsolt Toth
- Department of Oral Biology, University of Florida College of Dentistry, Gainesville, FL, USA
| | - Zsolt Boldogkői
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, Hungary.
- MTA -SZTE Lendület GeMiNI Research Group, University of Szeged, Szeged, Hungary.
| |
Collapse
|
8
|
Salavati M, Clark R, Becker D, Kühn C, Plastow G, Dupont S, Moreira GCM, Charlier C, Clark EL. Improving the annotation of the cattle genome by annotating transcription start sites in a diverse set of tissues and populations using Cap Analysis Gene Expression sequencing. G3 (BETHESDA, MD.) 2023; 13:jkad108. [PMID: 37216666 PMCID: PMC10411599 DOI: 10.1093/g3journal/jkad108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 02/27/2023] [Accepted: 05/09/2023] [Indexed: 05/24/2023]
Abstract
Understanding the genomic control of tissue-specific gene expression and regulation can help to inform the application of genomic technologies in farm animal breeding programs. The fine mapping of promoters [transcription start sites (TSS)] and enhancers (divergent amplifying segments of the genome local to TSS) in different populations of cattle across a wide diversity of tissues provides information to locate and understand the genomic drivers of breed- and tissue-specific characteristics. To this aim, we used Cap Analysis Gene Expression (CAGE) sequencing, of 24 different tissues from 3 populations of cattle, to define TSS and their coexpressed short-range enhancers (<1 kb) in the ARS-UCD1.2_Btau5.0.1Y reference genome (1000bulls run9) and analyzed tissue and population specificity of expressed promoters. We identified 51,295 TSS and 2,328 TSS-Enhancer regions shared across the 3 populations (dairy, beef-dairy cross, and Canadian Kinsella composite cattle from 2 individuals, 1 of each sex, per population). Cross-species comparative analysis of CAGE data from 7 other species, including sheep, revealed a set of TSS and TSS-Enhancers that were specific to cattle. The CAGE data set will be combined with other transcriptomic information for the same tissues to create a new high-resolution map of transcript diversity across tissues and populations in cattle for the BovReg project. Here we provide the CAGE data set and annotation tracks for TSS and TSS-Enhancers in the cattle genome. This new annotation information will improve our understanding of the drivers of gene expression and regulation in cattle and help to inform the application of genomic technologies in breeding programs.
Collapse
Affiliation(s)
- Mazdak Salavati
- The Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Richard Clark
- Edinburgh Clinical Research Facility, Genetics Core, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Doreen Becker
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf 18196, Germany
| | - Christa Kühn
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf 18196, Germany
- Faculty of Agricultural and Environmental Sciences, University Rostock, Rostock 18059, Germany
| | - Graham Plastow
- Department of Agricultural, Food and Nutritional Science, Livestock Gentec, University of Alberta, Edmonton T6G 2H1, Canada
| | - Sébastien Dupont
- Unit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium
| | | | - Carole Charlier
- Unit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium
- Faculty of Veterinary Medicine, University of Liège, Liège 4000, Belgium
| | | |
Collapse
|
9
|
Marla S, Mortlock S, Yoon S, Crawford J, Andersen S, Mueller MD, McKinnon B, Nguyen Q, Montgomery GW. Global Analysis of Transcription Start Sites and Enhancers in Endometrial Stromal Cells and Differences Associated with Endometriosis. Cells 2023; 12:1736. [PMID: 37443771 PMCID: PMC10340717 DOI: 10.3390/cells12131736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Identifying tissue-specific molecular signatures of active regulatory elements is critical to understanding gene regulatory mechanisms. In this study, transcription start sites (TSS) and enhancers were identified using Cap analysis of gene expression (CAGE) across endometrial stromal cell (ESC) samples obtained from women with (n = 4) and without endometriosis (n = 4). ESC TSSs and enhancers were compared to those reported in other tissue and cell types in FANTOM5 and were integrated with RNA-seq and ATAC-seq data from the same samples for regulatory activity and network analyses. CAGE tag count differences between women with and without endometriosis were statistically tested and tags within close proximity to genetic variants associated with endometriosis risk were identified. Over 90% of tag clusters mapping to promoters were observed in cells and tissues in FANTOM5. However, some potential cell-type-specific promoters and enhancers were also observed. Regions of open chromatin identified using ATAC-seq provided further evidence of the active transcriptional regions identified by CAGE. Despite the small sample number, there was evidence of differences associated with endometriosis at 210 consensus clusters, including IGFBP5, CALD1 and OXTR. ESC TSSs were also located within loci associated with endometriosis risk from genome-wide association studies. This study provides novel evidence of transcriptional differences in endometrial stromal cells associated with endometriosis and provides a valuable cell-type specific resource of active TSSs and enhancers in endometrial stromal cells.
Collapse
Affiliation(s)
- Sushma Marla
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; (S.M.); (S.M.); (B.M.); (Q.N.)
| | - Sally Mortlock
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; (S.M.); (S.M.); (B.M.); (Q.N.)
| | - Sohye Yoon
- The Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia; (S.Y.); (J.C.); (S.A.)
| | - Joanna Crawford
- The Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia; (S.Y.); (J.C.); (S.A.)
| | - Stacey Andersen
- The Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia; (S.Y.); (J.C.); (S.A.)
| | - Michael D. Mueller
- Department of Gynecology and Gynecological Oncology, Inselspital, Bern University Hospital, University of Bern, 3010 Berne, Switzerland;
| | - Brett McKinnon
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; (S.M.); (S.M.); (B.M.); (Q.N.)
- Department of Gynecology and Gynecological Oncology, Inselspital, Bern University Hospital, University of Bern, 3010 Berne, Switzerland;
| | - Quan Nguyen
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; (S.M.); (S.M.); (B.M.); (Q.N.)
| | - Grant W. Montgomery
- The Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia; (S.M.); (S.M.); (B.M.); (Q.N.)
- The Genome Innovation Hub, The University of Queensland, Brisbane, QLD 4072, Australia; (S.Y.); (J.C.); (S.A.)
| |
Collapse
|
10
|
Gillan JL, Chokshi M, Hardisty GR, Clohisey Hendry S, Prasca-Chamorro D, Robinson NJ, Lasota B, Clark R, Murphy L, Whyte MK, Baillie JK, Davidson DJ, Bao G, Gray RD. CAGE sequencing reveals CFTR-dependent dysregulation of type I IFN signaling in activated cystic fibrosis macrophages. SCIENCE ADVANCES 2023; 9:eadg5128. [PMID: 37235648 PMCID: PMC10219589 DOI: 10.1126/sciadv.adg5128] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 04/20/2023] [Indexed: 05/28/2023]
Abstract
An intense, nonresolving airway inflammatory response leads to destructive lung disease in cystic fibrosis (CF). Dysregulation of macrophage immune function may be a key facet governing the progression of CF lung disease, but the underlying mechanisms are not fully understood. We used 5' end centered transcriptome sequencing to profile P. aeruginosa LPS-activated human CF macrophages, showing that CF and non-CF macrophages deploy substantially distinct transcriptional programs at baseline and following activation. This includes a significantly blunted type I IFN signaling response in activated patient cells relative to healthy controls that was reversible upon in vitro treatment with CFTR modulators in patient cells and by CRISPR-Cas9 gene editing to correct the F508del mutation in patient-derived iPSC macrophages. These findings illustrate a previously unidentified immune defect in human CF macrophages that is CFTR dependent and reversible with CFTR modulators, thus providing new avenues in the search for effective anti-inflammatory interventions in CF.
Collapse
Affiliation(s)
- Jonathan L. Gillan
- University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| | - Mithil Chokshi
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Gareth R. Hardisty
- University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| | | | | | - Nicola J. Robinson
- University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| | - Benjamin Lasota
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Richard Clark
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Moira K. B. Whyte
- University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| | | | - Donald J. Davidson
- University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| | - Gang Bao
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Robert D. Gray
- University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK
| |
Collapse
|
11
|
Bilbao-Arribas M, Jugo BM. Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep. Front Genet 2022; 13:1067350. [PMID: 36482891 PMCID: PMC9725098 DOI: 10.3389/fgene.2022.1067350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/08/2022] [Indexed: 11/23/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are involved in several biological processes, including the immune system response to pathogens and vaccines. The annotation and functional characterization of lncRNAs is more advanced in humans than in livestock species. Here, we take advantage of the increasing number of high-throughput functional experiments deposited in public databases in order to uniformly analyse, profile unannotated lncRNAs and integrate 422 ovine RNA-seq samples from the ovine immune system. We identified 12302 unannotated lncRNA genes with support from independent CAGE-seq and histone modification ChIP-seq assays. Unannotated lncRNAs showed low expression levels and sequence conservation across other mammal species. There were differences in expression levels depending on the genomic location-based lncRNA classification. Differential expression analyses between unstimulated and samples stimulated with pathogen infection or vaccination resulted in hundreds of lncRNAs with changed expression. Gene co-expression analyses revealed immune gene-enriched clusters associated with immune system activation and related to interferon signalling, antiviral response or endoplasmic reticulum stress. Besides, differential co-expression networks were constructed in order to find condition-specific relationships between coding genes and lncRNAs. Overall, using a diverse set of immune system samples and bioinformatic approaches we identify several ovine lncRNAs associated with the response to an external stimulus. These findings help in the improvement of the ovine lncRNA catalogue and provide sheep-specific evidence for the implication in the general immune response for several lncRNAs.
Collapse
|
12
|
Heuts BMH, Arza-Apalategi S, Frölich S, Bergevoet SM, van den Oever SN, van Heeringen SJ, van der Reijden BA, Martens JHA. Identification of transcription factors dictating blood cell development using a bidirectional transcription network-based computational framework. Sci Rep 2022; 12:18656. [PMID: 36333382 PMCID: PMC9636203 DOI: 10.1038/s41598-022-21148-w] [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: 06/17/2022] [Accepted: 09/23/2022] [Indexed: 11/06/2022] Open
Abstract
Advanced computational methods exploit gene expression and epigenetic datasets to predict gene regulatory networks controlled by transcription factors (TFs). These methods have identified cell fate determining TFs but require large amounts of reference data and experimental expertise. Here, we present an easy to use network-based computational framework that exploits enhancers defined by bidirectional transcription, using as sole input CAGE sequencing data to correctly predict TFs key to various human cell types. Next, we applied this Analysis Algorithm for Networks Specified by Enhancers based on CAGE (ANANSE-CAGE) to predict TFs driving red and white blood cell development, and THP-1 leukemia cell immortalization. Further, we predicted TFs that are differentially important to either cell line- or primary- associated MLL-AF9-driven gene programs, and in primary MLL-AF9 acute leukemia. Our approach identified experimentally validated as well as thus far unexplored TFs in these processes. ANANSE-CAGE will be useful to identify transcription factors that are key to any cell fate change using only CAGE-seq data as input.
Collapse
Affiliation(s)
- B. M. H. Heuts
- grid.5590.90000000122931605Department of Molecular Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA Nijmegen, The Netherlands
| | - S. Arza-Apalategi
- grid.10417.330000 0004 0444 9382Department of Laboratory Medicine, Laboratory of Hematology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - S. Frölich
- grid.5590.90000000122931605Department of Molecular Developmental Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA Nijmegen, The Netherlands
| | - S. M. Bergevoet
- grid.10417.330000 0004 0444 9382Department of Laboratory Medicine, Laboratory of Hematology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - S. N. van den Oever
- grid.5590.90000000122931605Department of Molecular Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA Nijmegen, The Netherlands
| | - S. J. van Heeringen
- grid.5590.90000000122931605Department of Molecular Developmental Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA Nijmegen, The Netherlands
| | - B. A. van der Reijden
- grid.10417.330000 0004 0444 9382Department of Laboratory Medicine, Laboratory of Hematology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - J. H. A. Martens
- grid.5590.90000000122931605Department of Molecular Biology, Faculty of Science, RIMLS, Radboud University, 6525 GA Nijmegen, The Netherlands
| |
Collapse
|
13
|
Aoi Y, Shah AP, Ganesan S, Soliman SHA, Cho BK, Goo YA, Kelleher NL, Shilatifard A. SPT6 functions in transcriptional pause/release via PAF1C recruitment. Mol Cell 2022; 82:3412-3423.e5. [PMID: 35973425 PMCID: PMC9714687 DOI: 10.1016/j.molcel.2022.06.037] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 05/11/2022] [Accepted: 06/29/2022] [Indexed: 01/24/2023]
Abstract
It is unclear how various factors functioning in the transcriptional elongation by RNA polymerase II (RNA Pol II) cooperatively regulate pause/release and productive elongation in living cells. Using an acute protein-depletion approach, we report that SPT6 depletion results in the release of paused RNA Pol II into gene bodies through an impaired recruitment of PAF1C. Short genes demonstrate a release with increased mature transcripts, whereas long genes are released but fail to yield mature transcripts, due to a reduced processivity resulting from both SPT6 and PAF1C loss. Unexpectedly, SPT6 depletion causes an association of NELF with the elongating RNA Pol II on gene bodies, without any observed functional significance on transcriptional elongation pattern, arguing against a role for NELF in keeping RNA Pol II in the paused state. Furthermore, SPT6 depletion impairs heat-shock-induced pausing, pointing to a role for SPT6 in regulating RNA Pol II pause/release through PAF1C recruitment.
Collapse
Affiliation(s)
- Yuki Aoi
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Avani P Shah
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Sheetal Ganesan
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Shimaa H A Soliman
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Byoung-Kyu Cho
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Proteomics Center of Excellence, Northwestern University, Evanston, IL 60611, USA
| | - Young Ah Goo
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Proteomics Center of Excellence, Northwestern University, Evanston, IL 60611, USA
| | - Neil L Kelleher
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Proteomics Center of Excellence, Northwestern University, Evanston, IL 60611, USA
| | - Ali Shilatifard
- Simpson Querrey Institute for Epigenetics, Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
| |
Collapse
|
14
|
Thieffry A, López-Márquez D, Bornholdt J, Malekroudi MG, Bressendorff S, Barghetti A, Sandelin A, Brodersen P. PAMP-triggered genetic reprogramming involves widespread alternative transcription initiation and an immediate transcription factor wave. THE PLANT CELL 2022; 34:2615-2637. [PMID: 35404429 PMCID: PMC9252474 DOI: 10.1093/plcell/koac108] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/07/2022] [Indexed: 05/13/2023]
Abstract
Immune responses triggered by pathogen-associated molecular patterns (PAMPs) are key to pathogen defense, but drivers and stabilizers of the growth-to-defense genetic reprogramming remain incompletely understood in plants. Here, we report a time-course study of the establishment of PAMP-triggered immunity (PTI) using cap analysis of gene expression. We show that around 15% of all transcription start sites (TSSs) rapidly induced during PTI define alternative transcription initiation events. From these, we identify clear examples of regulatory TSS change via alternative inclusion of target peptides or domains in encoded proteins, or of upstream open reading frames in mRNA leader sequences. We also find that 60% of PAMP response genes respond earlier than previously thought. In particular, a cluster of rapidly and transiently PAMP-induced genes is enriched in transcription factors (TFs) whose functions, previously associated with biological processes as diverse as abiotic stress adaptation and stem cell activity, appear to converge on growth restriction. Furthermore, examples of known potentiators of PTI, in one case under direct mitogen-activated protein kinase control, support the notion that the rapidly induced TFs could constitute direct links to PTI signaling pathways and drive gene expression changes underlying establishment of the immune state.
Collapse
Affiliation(s)
- Axel Thieffry
- Department of Biology, University of Copenhagen, Copenhagen N, DK-2200, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, Copenhagen N, DK-2200, Denmark
| | - Diego López-Márquez
- Department of Biology, University of Copenhagen, Copenhagen N, DK-2200, Denmark
| | - Jette Bornholdt
- Department of Biology, University of Copenhagen, Copenhagen N, DK-2200, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, Copenhagen N, DK-2200, Denmark
| | | | - Simon Bressendorff
- Department of Biology, University of Copenhagen, Copenhagen N, DK-2200, Denmark
| | - Andrea Barghetti
- Department of Biology, University of Copenhagen, Copenhagen N, DK-2200, Denmark
| | | | | |
Collapse
|
15
|
Nagano M, Hu B, Yokobayashi S, Yamamura A, Umemura F, Coradin M, Ohta H, Yabuta Y, Ishikura Y, Okamoto I, Ikeda H, Kawahira N, Nosaka Y, Shimizu S, Kojima Y, Mizuta K, Kasahara T, Imoto Y, Meehan K, Stocsits R, Wutz G, Hiraoka Y, Murakawa Y, Yamamoto T, Tachibana K, Peters JM, Mirny LA, Garcia BA, Majewski J, Saitou M. Nucleome programming is required for the foundation of totipotency in mammalian germline development. EMBO J 2022; 41:e110600. [PMID: 35703121 DOI: 10.15252/embj.2022110600] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 11/09/2022] Open
Abstract
Germ cells are unique in engendering totipotency, yet the mechanisms underlying this capacity remain elusive. Here, we perform comprehensive and in-depth nucleome analysis of mouse germ-cell development in vitro, encompassing pluripotent precursors, primordial germ cells (PGCs) before and after epigenetic reprogramming, and spermatogonia/spermatogonial stem cells (SSCs). Although epigenetic reprogramming, including genome-wide DNA de-methylation, creates broadly open chromatin with abundant enhancer-like signatures, the augmented chromatin insulation safeguards transcriptional fidelity. These insulatory constraints are then erased en masse for spermatogonial development. Notably, despite distinguishing epigenetic programming, including global DNA re-methylation, the PGCs-to-spermatogonia/SSCs development entails further euchromatization. This accompanies substantial erasure of lamina-associated domains, generating spermatogonia/SSCs with a minimal peripheral attachment of chromatin except for pericentromeres-an architecture conserved in primates. Accordingly, faulty nucleome maturation, including persistent insulation and improper euchromatization, leads to impaired spermatogenic potential. Given that PGCs after epigenetic reprogramming serve as oogenic progenitors as well, our findings elucidate a principle for the nucleome programming that creates gametogenic progenitors in both sexes, defining a basis for nuclear totipotency.
Collapse
Affiliation(s)
- Masahiro Nagano
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Bo Hu
- Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Shihori Yokobayashi
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Akitoshi Yamamura
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Fumiya Umemura
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Mariel Coradin
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA.,Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Hiroshi Ohta
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukihiro Yabuta
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukiko Ishikura
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ikuhiro Okamoto
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroki Ikeda
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.,Department of Embryology, Nara Medical University, Nara, Japan
| | - Naofumi Kawahira
- Department of Molecular Cell Developmental Biology, School of Life Science, University of California, Los Angeles, CA, USA.,Laboratory for Developmental Morphogeometry, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan
| | - Yoshiaki Nosaka
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Sakura Shimizu
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yoji Kojima
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Ken Mizuta
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomoko Kasahara
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Imoto
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Killian Meehan
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Roman Stocsits
- Research Institute of Molecular Pathology, Vienna BioCenter, Vienna, Austria
| | - Gordana Wutz
- Research Institute of Molecular Pathology, Vienna BioCenter, Vienna, Austria
| | - Yasuaki Hiraoka
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Yasuhiro Murakawa
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Takuya Yamamoto
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.,Medical-risk Avoidance based on iPS Cells Team, RIKEN Center for Advanced Intelligence Project, Kyoto, Japan
| | - Kikue Tachibana
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria.,Department of Totipotency, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jan-Michel Peters
- Research Institute of Molecular Pathology, Vienna BioCenter, Vienna, Austria
| | - Leonid A Mirny
- Institute for Medical Engineering and Science, and Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Benjamin A Garcia
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA.,Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA
| | - Jacek Majewski
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Mitinori Saitou
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.,Department of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| |
Collapse
|
16
|
African Swine Fever Virus and host response - transcriptome profiling of the Georgia 2007/1 strain and porcine macrophages. J Virol 2022; 96:e0193921. [PMID: 35019713 PMCID: PMC8906413 DOI: 10.1128/jvi.01939-21] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
African swine fever virus (ASFV) has a major global economic impact. With a case fatality in domestic pigs approaching 100%, it currently presents the largest threat to animal farming. Although genomic differences between attenuated and highly virulent ASFV strains have been identified, the molecular determinants for virulence at the level of gene expression have remained opaque. Here, we characterize the transcriptome of ASFV genotype II Georgia 2007/1 (GRG) during infection of the physiologically relevant host cells, porcine macrophages. In this study, we applied cap analysis gene expression sequencing (CAGE-seq) to map th0e 5′ ends of viral mRNAs at 5 and 16 h postinfection. A bioinformatics analysis of the sequence context surrounding the transcription start sites (TSSs) enabled us to characterize the global early and late promoter landscape of GRG. We compared transcriptome maps of the GRG isolate and the lab-attenuated BA71V strain that highlighted GRG virulence-specific transcripts belonging to multigene families, including two predicted MGF 100 genes, I7L and I8L. In parallel, we monitored transcriptome changes in the infected host macrophage cells. Of the 9,384 macrophage genes studied, transcripts for 652 host genes were differentially regulated between 5 and 16 h postinfection compared with only 25 between uninfected cells and 5 h postinfection. NF-κB activated genes and lysosome components such as S100 were upregulated, and chemokines such as CCL24, CXCL2, CXCL5, and CXCL8 were downregulated. IMPORTANCE African swine fever virus (ASFV) causes hemorrhagic fever in domestic pigs, with case fatality rates approaching 100% and no approved vaccines or antivirals. The highly virulent ASFV Georgia 2007/1 strain (GRG) was the first isolated when ASFV spread from Africa to the Caucasus region in 2007, then spreading through Eastern Europe and, more recently, across Asia. We used an RNA-based next-generation sequencing technique called CAGE-seq to map the starts of viral genes across the GRG DNA genome. This has allowed us to investigate which viral genes are expressed during early or late stages of infection and how this is controlled, comparing their expression to the nonvirulent ASFV-BA71V strain to identify key genes that play a role in virulence. In parallel, we investigated how host cells respond to infection, which revealed how the ASFV suppresses components of the host immune response to ultimately win the arms race against its porcine host.
Collapse
|
17
|
Fülöp Á, Torma G, Moldován N, Szenthe K, Bánáti F, Almsarrhad IAA, Csabai Z, Tombácz D, Minárovits J, Boldogkői Z. Integrative profiling of Epstein-Barr virus transcriptome using a multiplatform approach. Virol J 2022; 19:7. [PMID: 34991630 PMCID: PMC8740505 DOI: 10.1186/s12985-021-01734-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/20/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Epstein-Barr virus (EBV) is an important human pathogenic gammaherpesvirus with carcinogenic potential. The EBV transcriptome has previously been analyzed using both Illumina-based short read-sequencing and Pacific Biosciences RS II-based long-read sequencing technologies. Since the various sequencing methods have distinct strengths and limitations, the use of multiplatform approaches have proven to be valuable. The aim of this study is to provide a more complete picture on the transcriptomic architecture of EBV. METHODS In this work, we apply the Oxford Nanopore Technologies MinION (long-read sequencing) platform for the generation of novel transcriptomic data, and integrate these with other's data generated by another LRS approach, Pacific BioSciences RSII sequencing and Illumina CAGE-Seq and Poly(A)-Seq approaches. Both amplified and non-amplified cDNA sequencings were applied for the generation of sequencing reads, including both oligo-d(T) and random oligonucleotide-primed reverse transcription. EBV transcripts are identified and annotated using the LoRTIA software suite developed in our laboratory. RESULTS This study detected novel genes embedded into longer host genes containing 5'-truncated in-frame open reading frames, which potentially encode N-terminally truncated proteins. We also detected a number of novel non-coding RNAs and transcript length isoforms encoded by the same genes but differing in their start and/or end sites. This study also reports the discovery of novel splice isoforms, many of which may represent altered coding potential, and of novel replication-origin-associated transcripts. Additionally, novel mono- and multigenic transcripts were identified. An intricate meshwork of transcriptional overlaps was revealed. CONCLUSIONS An integrative approach applying multi-technique sequencing technologies is suitable for reliable identification of complex transcriptomes because each techniques has different advantages and limitations, and the they can be used for the validation of the results obtained by a particular approach.
Collapse
Affiliation(s)
- Ádám Fülöp
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720 Hungary
| | - Gábor Torma
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720 Hungary
| | - Norbert Moldován
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720 Hungary
| | - Kálmán Szenthe
- Carlsbad Research Organization Ltd., Szabadság u. 2., Újrónafő, 9244 Hungary
| | - Ferenc Bánáti
- RT-Europe Research Center, Vár tér 2., Mosonmagyaróvár, 9200 Hungary
| | - Islam A. A. Almsarrhad
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720 Hungary
| | - Zsolt Csabai
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720 Hungary
| | - Dóra Tombácz
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720 Hungary
| | - János Minárovits
- Department of Oral Biology and Experimental Dental Research, University of Szeged, Tisza Lajos krt. 64, Szeged, 6720 Hungary
| | - Zsolt Boldogkői
- Department of Medical Biology, Albert Szent-Györgyi Medical School, University of Szeged, Somogyi B. u. 4., Szeged, 6720 Hungary
| |
Collapse
|
18
|
Einarsson H, Salvatore M, Vaagensø C, Alcaraz N, Bornholdt J, Rennie S, Andersson R. Promoter sequence and architecture determine expression variability and confer robustness to genetic variants. eLife 2022; 11:80943. [PMID: 36377861 PMCID: PMC9844987 DOI: 10.7554/elife.80943] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 11/14/2022] [Indexed: 11/16/2022] Open
Abstract
Genetic and environmental exposures cause variability in gene expression. Although most genes are affected in a population, their effect sizes vary greatly, indicating the existence of regulatory mechanisms that could amplify or attenuate expression variability. Here, we investigate the relationship between the sequence and transcription start site architectures of promoters and their expression variability across human individuals. We find that expression variability can be largely explained by a promoter's DNA sequence and its binding sites for specific transcription factors. We show that promoter expression variability reflects the biological process of a gene, demonstrating a selective trade-off between stability for metabolic genes and plasticity for responsive genes and those involved in signaling. Promoters with a rigid transcription start site architecture are more prone to have variable expression and to be associated with genetic variants with large effect sizes, while a flexible usage of transcription start sites within a promoter attenuates expression variability and limits genotypic effects. Our work provides insights into the variable nature of responsive genes and reveals a novel mechanism for supplying transcriptional and mutational robustness to essential genes through multiple transcription start site regions within a promoter.
Collapse
Affiliation(s)
| | - Marco Salvatore
- Department of Biology, University of CopenhagenCopenhagenDenmark
| | | | - Nicolas Alcaraz
- Department of Biology, University of CopenhagenCopenhagenDenmark
| | - Jette Bornholdt
- Department of Biology, University of CopenhagenCopenhagenDenmark
| | - Sarah Rennie
- Department of Biology, University of CopenhagenCopenhagenDenmark
| | - Robin Andersson
- Department of Biology, University of CopenhagenCopenhagenDenmark
| |
Collapse
|
19
|
Lu Z, Berry K, Hu Z, Zhan Y, Ahn TH, Lin Z. TSSr: an R package for comprehensive analyses of TSS sequencing data. NAR Genom Bioinform 2021; 3:lqab108. [PMID: 34805991 PMCID: PMC8598296 DOI: 10.1093/nargab/lqab108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 10/05/2021] [Accepted: 10/27/2021] [Indexed: 12/13/2022] Open
Abstract
Transcription initiation is regulated in a highly organized fashion to ensure proper cellular functions. Accurate identification of transcription start sites (TSSs) and quantitative characterization of transcription initiation activities are fundamental steps for studies of regulated transcriptions and core promoter structures. Several high-throughput techniques have been developed to sequence the very 5'end of RNA transcripts (TSS sequencing) on the genome scale. Bioinformatics tools are essential for processing, analysis, and visualization of TSS sequencing data. Here, we present TSSr, an R package that provides rich functions for mapping TSS and characterizations of structures and activities of core promoters based on all types of TSS sequencing data. Specifically, TSSr implements several newly developed algorithms for accurately identifying TSSs from mapped sequencing reads and inference of core promoters, which are a prerequisite for subsequent functional analyses of TSS data. Furthermore, TSSr also enables users to export various types of TSS data that can be visualized by genome browser for inspection of promoter activities in association with other genomic features, and to generate publication-ready TSS graphs. These user-friendly features could greatly facilitate studies of transcription initiation based on TSS sequencing data. The source code and detailed documentations of TSSr can be freely accessed at https://github.com/Linlab-slu/TSSr.
Collapse
Affiliation(s)
- Zhaolian Lu
- Department of Biology, Saint Louis University, St. Louis, MO 63103, USA
| | - Keenan Berry
- Program of Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO 63103, USA
| | - Zhenbin Hu
- Department of Biology, Saint Louis University, St. Louis, MO 63103, USA
| | - Yu Zhan
- Department of Biology, Saint Louis University, St. Louis, MO 63103, USA
| | - Tae-Hyuk Ahn
- Program of Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO 63103, USA
| | - Zhenguo Lin
- Department of Biology, Saint Louis University, St. Louis, MO 63103, USA
| |
Collapse
|
20
|
Jürges CS, Dölken L, Erhard F. Integrative transcription start site identification with iTiSS. Bioinformatics 2021; 37:3056-3057. [PMID: 33720332 DOI: 10.1093/bioinformatics/btab170] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/16/2021] [Accepted: 03/10/2021] [Indexed: 02/02/2023] Open
Abstract
SUMMARY Many experimental approaches have been developed to identify transcription start sites (TSS) from genomic scale data. However, experiment specific biases lead to large numbers of false-positive calls. Here, we present our integrative approach iTiSS, which is an accurate and generic TSS caller for any TSS profiling experiment in eukaryotes, and substantially reduces the number of false positives by a joint analysis of several complementary datasets. AVAILABILITY AND IMPLEMENTATION iTiSS is platform independent and implemented in Java (v1.8) and is freely available at https://www.erhard-lab.de/software and https://github.com/erhard-lab/iTiSS. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Christopher S Jürges
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg 97078, Germany
| | - Lars Dölken
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg 97078, Germany
| | - Florian Erhard
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg 97078, Germany
| |
Collapse
|
21
|
Abstract
Transcription start site (TSS) selection influences transcript stability and translation as well as protein sequence. Alternative TSS usage is pervasive in organismal development, is a major contributor to transcript isoform diversity in humans, and is frequently observed in human diseases including cancer. In this review, we discuss the breadth of techniques that have been used to globally profile TSSs and the resulting insights into gene regulation, as well as future prospects in this area of inquiry.
Collapse
Affiliation(s)
| | - Gabriel E. Zentner
- Department of Biology, Indiana University, Bloomington, IN 47401, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
| |
Collapse
|
22
|
Ge X, Frank-Bertoncelj M, Klein K, McGovern A, Kuret T, Houtman M, Burja B, Micheroli R, Shi C, Marks M, Filer A, Buckley CD, Orozco G, Distler O, Morris AP, Martin P, Eyre S, Ospelt C. Functional genomics atlas of synovial fibroblasts defining rheumatoid arthritis heritability. Genome Biol 2021; 22:247. [PMID: 34433485 PMCID: PMC8385949 DOI: 10.1186/s13059-021-02460-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 08/10/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Genome-wide association studies have reported more than 100 risk loci for rheumatoid arthritis (RA). These loci are shown to be enriched in immune cell-specific enhancers, but the analysis so far has excluded stromal cells, such as synovial fibroblasts (FLS), despite their crucial involvement in the pathogenesis of RA. Here we integrate DNA architecture, 3D chromatin interactions, DNA accessibility, and gene expression in FLS, B cells, and T cells with genetic fine mapping of RA loci. RESULTS We identify putative causal variants, enhancers, genes, and cell types for 30-60% of RA loci and demonstrate that FLS account for up to 24% of RA heritability. TNF stimulation of FLS alters the organization of topologically associating domains, chromatin state, and the expression of putative causal genes such as TNFAIP3 and IFNAR1. Several putative causal genes constitute RA-relevant functional networks in FLS with roles in cellular proliferation and activation. Finally, we demonstrate that risk variants can have joint-specific effects on target gene expression in RA FLS, which may contribute to the development of the characteristic pattern of joint involvement in RA. CONCLUSION Overall, our research provides the first direct evidence for a causal role of FLS in the genetic susceptibility for RA accounting for up to a quarter of RA heritability.
Collapse
Affiliation(s)
- Xiangyu Ge
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Mojca Frank-Bertoncelj
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Kerstin Klein
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Amanda McGovern
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Tadeja Kuret
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Rheumatology, University Medical Centre, Ljubljana, Slovenia
| | - Miranda Houtman
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Blaž Burja
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Rheumatology, University Medical Centre, Ljubljana, Slovenia
| | - Raphael Micheroli
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Chenfu Shi
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | | | - Andrew Filer
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, UK
| | - Christopher D Buckley
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, UK
- Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Headington, Oxford, UK
| | - Gisela Orozco
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Foundation Trust, Manchester, UK
| | - Oliver Distler
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Paul Martin
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Foundation Trust, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Stephen Eyre
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Foundation Trust, Manchester, UK
| | - Caroline Ospelt
- Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| |
Collapse
|
23
|
Policastro RA, McDonald DJ, Brendel VP, Zentner GE. Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR. NAR Genom Bioinform 2021; 3:lqab051. [PMID: 34250478 PMCID: PMC8265037 DOI: 10.1093/nargab/lqab051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/29/2021] [Accepted: 05/18/2021] [Indexed: 12/13/2022] Open
Abstract
Heterogeneity in transcription initiation has important consequences for transcript stability and translation, and shifts in transcription start site (TSS) usage are prevalent in various developmental, metabolic, and disease contexts. Accordingly, numerous methods for global TSS profiling have been developed, including most recently Survey of TRanscription Initiation at Promoter Elements with high-throughput sequencing (STRIPE-seq), a method to profile transcription start sites (TSSs) on a genome-wide scale with significant cost and time savings compared to previous methods. In anticipation of more widespread adoption of STRIPE-seq and related methods for construction of promoter atlases and studies of differential gene expression, we built TSRexploreR, an R package for end-to-end analysis of TSS mapping data. TSRexploreR provides functions for TSS and transcription start region (TSR) detection, normalization, correlation, visualization, and differential TSS/TSR analyses. TSRexploreR is highly interoperable, accepting the data structures of TSS and TSR sets generated by several existing tools for processing and alignment of TSS mapping data, such as CAGEr for Cap Analysis of Gene Expression (CAGE) data. Lastly, TSRexploreR implements a novel approach for the detection of shifts in TSS distribution.
Collapse
Affiliation(s)
| | - Daniel J McDonald
- Department of Statistics, Indiana University, Bloomington, IN 47405, USA
| | - Volker P Brendel
- Department of Biology, Indiana University, Bloomington, IN 47405, USA
- Department of Computer Science, Indiana University, Bloomington, IN 47405, USA
| | - Gabriel E Zentner
- Department of Biology, Indiana University, Bloomington, IN 47405, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
| |
Collapse
|
24
|
Salavati M, Caulton A, Clark R, Gazova I, Smith TPL, Worley KC, Cockett NE, Archibald AL, Clarke SM, Murdoch BM, Clark EL. Global Analysis of Transcription Start Sites in the New Ovine Reference Genome ( Oar rambouillet v1.0). Front Genet 2020; 11:580580. [PMID: 33193703 PMCID: PMC7645153 DOI: 10.3389/fgene.2020.580580] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/09/2020] [Indexed: 02/04/2023] Open
Abstract
The overall aim of the Ovine FAANG project is to provide a comprehensive annotation of the new highly contiguous sheep reference genome sequence (Oar rambouillet v1.0). Mapping of transcription start sites (TSS) is a key first step in understanding transcript regulation and diversity. Using 56 tissue samples collected from the reference ewe Benz2616, we have performed a global analysis of TSS and TSS-Enhancer clusters using Cap Analysis Gene Expression (CAGE) sequencing. CAGE measures RNA expression by 5' cap-trapping and has been specifically designed to allow the characterization of TSS within promoters to single-nucleotide resolution. We have adapted an analysis pipeline that uses TagDust2 for clean-up and trimming, Bowtie2 for mapping, CAGEfightR for clustering, and the Integrative Genomics Viewer (IGV) for visualization. Mapping of CAGE tags indicated that the expression levels of CAGE tag clusters varied across tissues. Expression profiles across tissues were validated using corresponding polyA+ mRNA-Seq data from the same samples. After removal of CAGE tags with <10 read counts, 39.3% of TSS overlapped with 5' ends of 31,113 transcripts that had been previously annotated by NCBI (out of a total of 56,308 from the NCBI annotation). For 25,195 of the transcripts, previously annotated by NCBI, no TSS meeting stringent criteria were identified. A further 14.7% of TSS mapped to within 50 bp of annotated promoter regions. Intersecting these predicted TSS regions with annotated promoter regions (±50 bp) revealed 46% of the predicted TSS were "novel" and previously un-annotated. Using whole-genome bisulfite sequencing data from the same tissues, we were able to determine that a proportion of these "novel" TSS were hypo-methylated (32.2%) indicating that they are likely to be reproducible rather than "noise". This global analysis of TSS in sheep will significantly enhance the annotation of gene models in the new ovine reference assembly. Our analyses provide one of the highest resolution annotations of transcript regulation and diversity in a livestock species to date.
Collapse
Affiliation(s)
- Mazdak Salavati
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
| | - Alex Caulton
- AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand
- Genetics Otago, Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Richard Clark
- Genetics Core, Edinburgh Clinical Research Facility, The University of Edinburgh, Edinburgh, United Kingdom
| | - Iveta Gazova
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, United Kingdom
- MRC Human Genetics Unit, The University of Edinburgh, Edinburgh, United Kingdom
| | - Timothy P. L. Smith
- USDA, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, United States
| | - Kim C. Worley
- Baylor College of Medicine, Houston, TX, United States
| | - Noelle E. Cockett
- Department of Animal, Dairy and Veterinary Sciences, Utah State University, Logan, UT, United States
| | - Alan L. Archibald
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, United Kingdom
| | | | - Brenda M. Murdoch
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, United States
| | - Emily L. Clark
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Midlothian, United Kingdom
| |
Collapse
|
25
|
Gacita AM, Dellefave-Castillo L, Page PGT, Barefield DY, Wasserstrom JA, Puckelwartz MJ, Nobrega MA, McNally EM. Altered Enhancer and Promoter Usage Leads to Differential Gene Expression in the Normal and Failed Human Heart. Circ Heart Fail 2020; 13:e006926. [PMID: 32993371 PMCID: PMC7577963 DOI: 10.1161/circheartfailure.120.006926] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The failing heart is characterized by changes in gene expression. However, the regulatory regions of the genome that drive these gene expression changes have not been well defined in human hearts. METHODS To define genome-wide enhancer and promoter use in heart failure, cap analysis of gene expression sequencing was applied to 3 healthy and 4 failed human hearts to identify promoter and enhancer regions used in left ventricles. Healthy hearts were derived from donors unused for transplantation and failed hearts were obtained as discarded tissue after transplantation. RESULTS Cap analysis of gene expression sequencing identified a combined potential for ≈23 000 promoters and ≈5000 enhancers active in human left ventricles. Of these, 17 000 promoters and 1800 enhancers had additional support for their regulatory function. Comparing promoter usage between healthy and failed hearts highlighted promoter shifts which altered aminoterminal protein sequences. Enhancer usage between healthy and failed hearts identified a majority of differentially used heart failure enhancers were intronic and primarily localized within the first intron, revealing this position as a common feature associated with tissue-specific gene expression changes in the heart. CONCLUSIONS This data set defines the dynamic genomic regulatory landscape underlying heart failure and serves as an important resource for understanding genetic contributions to cardiac dysfunction. Additionally, regulatory changes contributing to heart failure are attractive therapeutic targets for controlling ventricular remodeling and clinical progression.
Collapse
Affiliation(s)
- Anthony M Gacita
- Center for Genetic Medicine (A.M.G., L.D.-C., P.G.T.P., D.Y.B., M.J.P., E.M.M.), Northwestern University Feinberg School of Medicine, Chicago IL
| | - Lisa Dellefave-Castillo
- Center for Genetic Medicine (A.M.G., L.D.-C., P.G.T.P., D.Y.B., M.J.P., E.M.M.), Northwestern University Feinberg School of Medicine, Chicago IL
| | - Patrick G T Page
- Center for Genetic Medicine (A.M.G., L.D.-C., P.G.T.P., D.Y.B., M.J.P., E.M.M.), Northwestern University Feinberg School of Medicine, Chicago IL
| | - David Y Barefield
- Center for Genetic Medicine (A.M.G., L.D.-C., P.G.T.P., D.Y.B., M.J.P., E.M.M.), Northwestern University Feinberg School of Medicine, Chicago IL
| | - J Andrew Wasserstrom
- Department of Medicine (Cardiology) (J.A.W.), Northwestern University Feinberg School of Medicine, Chicago IL
| | - Megan J Puckelwartz
- Center for Genetic Medicine (A.M.G., L.D.-C., P.G.T.P., D.Y.B., M.J.P., E.M.M.), Northwestern University Feinberg School of Medicine, Chicago IL
| | | | - Elizabeth M McNally
- Center for Genetic Medicine (A.M.G., L.D.-C., P.G.T.P., D.Y.B., M.J.P., E.M.M.), Northwestern University Feinberg School of Medicine, Chicago IL
| |
Collapse
|
26
|
Gažová I, Lefevre L, Bush SJ, Clohisey S, Arner E, de Hoon M, Severin J, van Duin L, Andersson R, Lengeling A, Hume DA, Summers KM. The Transcriptional Network That Controls Growth Arrest and Macrophage Differentiation in the Human Myeloid Leukemia Cell Line THP-1. Front Cell Dev Biol 2020; 8:498. [PMID: 32719792 PMCID: PMC7347797 DOI: 10.3389/fcell.2020.00498] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 05/25/2020] [Indexed: 12/12/2022] Open
Abstract
The response of the human acute myeloid leukemia cell line THP-1 to phorbol esters has been widely studied to test candidate leukemia therapies and as a model of cell cycle arrest and monocyte-macrophage differentiation. Here we have employed Cap Analysis of Gene Expression (CAGE) to analyze a dense time course of transcriptional regulation in THP-1 cells treated with phorbol myristate acetate (PMA) over 96 h. PMA treatment greatly reduced the numbers of cells entering S phase and also blocked cells exiting G2/M. The PMA-treated cells became adherent and expression of mature macrophage-specific genes increased progressively over the duration of the time course. Within 1–2 h PMA induced known targets of tumor protein p53 (TP53), notably CDKN1A, followed by gradual down-regulation of cell-cycle associated genes. Also within the first 2 h, PMA induced immediate early genes including transcription factor genes encoding proteins implicated in macrophage differentiation (EGR2, JUN, MAFB) and down-regulated genes for transcription factors involved in immature myeloid cell proliferation (MYB, IRF8, GFI1). The dense time course revealed that the response to PMA was not linear and progressive. Rather, network-based clustering of the time course data highlighted a sequential cascade of transient up- and down-regulated expression of genes encoding feedback regulators, as well as transcription factors associated with macrophage differentiation and their inferred target genes. CAGE also identified known and candidate novel enhancers expressed in THP-1 cells and many novel inducible genes that currently lack functional annotation and/or had no previously known function in macrophages. The time course is available on the ZENBU platform allowing comparison to FANTOM4 and FANTOM5 data.
Collapse
Affiliation(s)
- Iveta Gažová
- The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Lucas Lefevre
- The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen J Bush
- The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Sara Clohisey
- The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom
| | - Erik Arner
- RIKEN Center for Integrative Medical Sciences, Kanagawa, Yokohama, Japan
| | - Michiel de Hoon
- RIKEN Center for Integrative Medical Sciences, Kanagawa, Yokohama, Japan
| | - Jessica Severin
- RIKEN Center for Integrative Medical Sciences, Kanagawa, Yokohama, Japan
| | - Lucas van Duin
- Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark
| | - Robin Andersson
- Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark
| | | | - David A Hume
- Mater Research Institute - University of Queensland, Translational Research Institute, Brisbane, QLD, Australia
| | - Kim M Summers
- The Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom.,Mater Research Institute - University of Queensland, Translational Research Institute, Brisbane, QLD, Australia
| |
Collapse
|
27
|
Thieffry A, Vigh ML, Bornholdt J, Ivanov M, Brodersen P, Sandelin A. Characterization of Arabidopsis thaliana Promoter Bidirectionality and Antisense RNAs by Inactivation of Nuclear RNA Decay Pathways. THE PLANT CELL 2020; 32:1845-1867. [PMID: 32213639 PMCID: PMC7268790 DOI: 10.1105/tpc.19.00815] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 02/03/2020] [Accepted: 03/20/2020] [Indexed: 05/20/2023]
Abstract
In animals, RNA polymerase II initiates transcription bidirectionally from gene promoters to produce pre-mRNAs on the forward strand and promoter upstream transcripts (PROMPTs) on the reverse strand. PROMPTs are degraded by the nuclear exosome. Previous studies based on nascent RNA approaches concluded that Arabidopsis (Arabidopsis thaliana) does not produce PROMPTs. Here, we used steady-state RNA sequencing in mutants defective in nuclear RNA decay including the exosome to reassess the existence of Arabidopsis PROMPTs. While they are rare, we identified ∼100 cases of exosome-sensitive PROMPTs in Arabidopsis. Such PROMPTs are sources of small interfering RNAs in exosome-deficient mutants, perhaps explaining why plants have evolved mechanisms to suppress PROMPTs. In addition, we found ∼200 long, unspliced and exosome-sensitive antisense RNAs that arise from transcription start sites within parts of the genome encoding 3'-untranslated regions on the sense strand. The previously characterized noncoding RNA that regulates expression of the key seed dormancy regulator, DELAY OF GERMINATION1, is a typical representative of this class of RNAs. Transcription factor genes are overrepresented among loci with exosome-sensitive antisense RNAs, suggesting a potential for widespread control of gene expression via this class of noncoding RNAs. Lastly, we assess the use of alternative promoters in Arabidopsis and compare the accuracy of existing TSS annotations.
Collapse
Affiliation(s)
- Axel Thieffry
- Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Maria Louisa Vigh
- Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Jette Bornholdt
- Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Maxim Ivanov
- Department of Plant and Environmental Sciences, University of Copenhagen, DK-1871 Frederiksberg C, Denmark
| | - Peter Brodersen
- Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Albin Sandelin
- Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| |
Collapse
|
28
|
Sun S, Li L, Dong L, Cheng J, Zhao C, Bao C, Wang H. Circulating mRNA and microRNA profiling analysis in patients with ischemic stroke. Mol Med Rep 2020; 22:792-802. [PMID: 32626985 PMCID: PMC7339759 DOI: 10.3892/mmr.2020.11143] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 12/03/2019] [Indexed: 12/15/2022] Open
Abstract
To provide insight into molecular diagnosis and individualized treatment of ischemic stroke (IS), several available datasets in IS were analyzed to identify the differentially expressed genes and microRNAs (miRNAs). Series matrix files from GSE22255 and GSE16561 (mRNA profiles), a well as GSE110993 (miRNA profile) were downloaded from the Gene Expression Omnibus database. System-level clustering was performed with GeneCluster 3.0 software, and gene annotation and pathway enrichment were performed with gene ontology analysis and Database for Annotation, Visualization and Integrated Discovery software. For a protein-protein interaction (PPI) network, Biological General Repository for Interaction Datasets and IntAct interaction information were integrated to determine the interaction of differentially expressed genes. The selected miRNA candidates were imported into the TargetScan, miRDB and miRecords databases for the prediction of target genes. The present study identified 128 upregulated and 231 downregulated genes in female stroke patients, and 604 upregulated and 337 downregulated genes in male stroke patients compared with sex- and age-matched controls. The construction of a PPI network demonstrated that male stroke patients exhibited YWHAE, CUL3 and JUN as network center nodes, and in female patients CYLD, FOS and PIK3R1 interactions were the strongest. Notably, these interactions are mainly involved in immune inflammatory response, apoptosis and other biological pathways, such as blood coagulation. Female and male upregulated genes were cross-validated with another set of Illumina HumanRef-8 v3.0 expression beadchip (GSE16561). Functional item association networks, gene function networks and transcriptional regulatory networks were successfully constructed, and the relationships between miRNAs and target genes were successfully predicted. The present study identified a number of transcription factors, including DEFA1, PDK4, SDPR, TCN1 and MMP9, and miRNAs, including miRNA (miR)-21, miR-143/145, miR-125-5p and miR-122, which may serve important roles in the development of cerebral stroke and may be important molecular indicators for the treatment of IS.
Collapse
Affiliation(s)
- Sujuan Sun
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China
| | - Litao Li
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China
| | - Lipeng Dong
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China
| | - Jinming Cheng
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China
| | - Congying Zhao
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China
| | - Chu Bao
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China
| | - Hebo Wang
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050050, P.R. China
| |
Collapse
|