Control of inducible gene expression links cohesin to hematopoietic progenitor self-renewal and differentiation
Open accessAbstract
Cohesin is important for 3D genome organization. Nevertheless, even the complete removal of cohesin has surprisingly little impact on steady-state gene transcription and enhancer activity. Here we show that cohesin is required for the core transcriptional response of primary macrophages to microbial signals, and for inducible enhancer activity that underpins inflammatory gene expression. Consistent with a role for inflammatory signals in promoting myeloid differentiation of hematopoietic stem and progenitor cells (HPSCs), cohesin mutations in HSPCs led to reduced inflammatory gene expression and increased resistance to differentiation-inducing inflammatory stimuli. These findings uncover an unexpected dependence of inducible gene expression on cohesin, link cohesin with myeloid differentiation, and may help explain the prevalence of cohesin mutations in human acute myeloid leukemia.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Cohesin depletion significantly suppresses the activation of inducible genes, especially when the enhancer is located at a significant distance from the promoter.
“At the same time, cohesin depletion significantly suppresses the activation of inducible genes, especially when the enhancer is located at a significant distance from the promoter [120,121,122].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [122]
The Discussion (page unavailable) says cohesin is critically required for inducible gene expression in primary myeloid cells, supporting the claim that depletion impairs activation. But the Results section on partial rescue (page unavailable) links cohesin dependence to genes near enhancers; our copy does not establish that suppression is especially strong when an enhancer is far from its promoter. (LLM, conf=0.87)
Experimental — accuracy not yet measuredCohesin/CTCF-associated enhancers are good candidates for pioneer enhancers, most importantly because of the selective requirement of cohesin for inducible gene control.
“Theoretically, cohesin/CTCF-associated enhancers are good candidates for pioneer enhancers for a number of reasons, most important of which is the selective requirement of cohesin for inducible gene control [513].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [513]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 90 · Cited by 210
Research works printed but not linked: 72
- [3]Rao SSP A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping Cell 2014 159 1665 1680 25497547 PMC5635824
- [5]Dowen JM Control of Cell Identity Genes Occurs in Insulated Neighborhoods in Mammalian Chromosomes Cell 2014 159 374 387 25303531 PMC4197132
- [6]Hnisz D Day DS Young RA Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control Cell 2016 167 1188 1200 27863240 PMC5125522
- [8]Merkenschlager M Nora EP CTCF and Cohesin in Genome Folding and Transcriptional Gene Regulation Annu Rev Genomics Hum Genet 2016 17 17 43 27089971
- [9]Dekker J Heard E Structural and functional diversity of Topologically Associating Domains FEBS Lett 2015 589 2877 2884 26348399 PMC4598308
- [10]Dekker J Mirny L The 3D Genome as Moderator of Chromosomal Communication Cell 2016 164 1110 1121 26967279 PMC4788811
- [11]Bickmore WA van Steensel B Genome Architecture: Domain Organization of Interphase Chromosomes Cell 2013 152 1270 1284 23498936
- [13]Jiang Y The methyltransferase SETDB1 regulates a large neuron-specific topological chromatin domain Nat Genet 2017 49 1239 1250 28671686 PMC5560095
- [16]Narendra V CTCF establishes discrete functional chromatin domains at the Hox clusters during differentiation Science 2015 347 1017 1021 25722416 PMC4428148
- [17]Seitan VC A role for cohesin in T-cell-receptor rearrangement and thymocyte differentiation Nature 2011 476 467 471 21832993 PMC3179485
- [19]Lavagnolli T Initiation and maintenance of pluripotency gene expression in the absence of cohesin Genes Dev 2015 29 23 38 25561493 PMC4281562
- [20]Ing-Simmons E Spatial enhancer clustering and regulation of enhancer-proximal genes by cohesin Genome Res 2015 25 504 513 25677180 PMC4381522
- [22]Ostuni R Latent Enhancers Activated by Stimulation in Differentiated Cells Cell 2013 152 157 171 23332752
- [23]Bhatt DM Transcript Dynamics of Proinflammatory Genes Revealed by Sequence Analysis of Subcellular RNA Fractions Cell 2012 150 279 290 22817891 PMC3405548
- [24]Chen X Requirement for the histone deacetylase Hdac3 for the inflammatory gene expression program in macrophages Proc Natl Acad Sci 2012 109 E2865 E2874 22802645 PMC3479529
- [25]Glass CK Natoli G Molecular control of activation and priming in macrophages Nat Immunol 2016 17 26 33 26681459 PMC4795476
- [26]Nasmyth K Haering CH Cohesin: Its Roles and Mechanisms Annu Rev Genet 2009 43 525 558 19886810
- [27]Kon A Recurrent mutations in multiple components of the cohesin complex in myeloid neoplasms Nat Genet 2013 45 1232 1237 23955599
- [28]Cancer Genome Atlas Research Network Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia N Engl J Med 2013 368 2059 2074 23634996 PMC3767041
- [29]Thota S Genetic alterations of the cohesin complex genes in myeloid malignancies Blood 2014 124 1790 1798 25006131 PMC4162108
- [30]Mazumdar C Leukemia-Associated Cohesin Mutants Dominantly Enforce Stem Cell Programs and Impair Human Hematopoietic Progenitor Differentiation Cell Stem Cell 2015 17 675 688 26607380 PMC4671831
- [31]Mullenders J Cohesin loss alters adult hematopoietic stem cell homeostasis, leading to myeloproliferative neoplasms J Exp Med 2015 212 1833 1850 26438359 PMC4612095
- [32]Viny AD Dose-dependent role of the cohesin complex in normal and malignant hematopoiesis J Exp Med 2015 212 1819 1832 26438361 PMC4612085
- [33]Galeev R Genome-wide RNAi Screen Identifies Cohesin Genes as Modifiers of Renewal and Differentiation in Human HSCs Cell Rep 2016 14 2988 3000 26997282 PMC7616965
- [34]Fisher JB The cohesin subunit Rad21 is a negative regulator of hematopoietic self-renewal through epigenetic repression of Hoxa7 and Hoxa9 Leukemia 2017 31 712 719 27554164 PMC5332284
- [35]Baldridge MT King KY Boles NC Weksberg DC Goodell MA Quiescent haematopoietic stem cells are activated by IFN-γ in response to chronic infection Nature 2010 465 793 797 20535209 PMC2935898
- [36]Binder D Aplastic anemia rescued by exhaustion of cytokine-secreting CD8+ T cells in persistent infection with lymphocytic choriomeningitis virus J Exp Med 1998 187 1903 20 9607930 PMC2212311
- [37]Dybedal I Bryder D Fossum A Rusten LS Jacobsen SE Tumor necrosis factor (TNF)-mediated activation of the p55 TNF receptor negatively regulates maintenance of cycling reconstituting human hematopoietic stem cells Blood 2001 98 1782 91 11535512
- [38]Essers MAG IFNα activates dormant haematopoietic stem cells in vivo Nature 2009 458 904 908 19212321
- [39]Mossadegh-Keller N M-CSF instructs myeloid lineage fate in single haematopoietic stem cells Nature 2013 497 239 243 23575636 PMC3679883
- [40]Nagai Y Toll-like Receptors on Hematopoietic Progenitor Cells Stimulate Innate Immune System Replenishment Immunity 2006 24 801 812 16782035 PMC1626529
- [41]Pietras EM Chronic interleukin-1 exposure drives haematopoietic stem cells towards precocious myeloid differentiation at the expense of self-renewal Nat Cell Biol 2016 18 607 618 27111842 PMC4884136
- [42]Zhao JL Conversion of Danger Signals into Cytokine Signals by Hematopoietic Stem and Progenitor Cells for Regulation of Stress-Induced Hematopoiesis Cell Stem Cell 2014 14 445 459 24561084 PMC4119790
- [43]Bennett JM Proposals for the classification of the acute leukaemias. French-American-British (FAB) co-operative group Br J Haematol 1976 33 451 8 188440
- [44]Tachibana-Konwalski K Rec8-containing cohesin maintains bivalents without turnover during the growing phase of mouse oocytes Genes Dev 2010 24 2505 2516 20971813 PMC2975927
- [45]Zlotnik A Yoshie O Nomiyama H The chemokine and chemokine receptor superfamilies and their molecular evolution Genome Biol 2006 7 243 17201934 PMC1794421
- [46]Azofeifa JG Allen MA Lladser ME Dowell RD An Annotation Agnostic Algorithm for Detecting Nascent RNA Transcripts in GRO-Seq IEEE/ACM Trans Comput Biol Bioinformatics 2017 14 1070 1081 PMC5667649 26829802
- [47]Hakimi M-A A chromatin remodelling complex that loads cohesin onto human chromosomes Nature 2002 418 994 998 12198550
- [48]Faure AJ Cohesin regulates tissue-specific expression by stabilizing highly occupied cis-regulatory modules Genome Res 2012 22 2163 2175 22780989 PMC3483546
- [49]Yan J Transcription Factor Binding in Human Cells Occurs in Dense Clusters Formed around Cohesin Anchor Sites Cell 2013 154 801 813 23953112
- [50]Lopez-Serra L Kelly G Patel H Stewart A Uhlmann F The Scc2–Scc4 complex acts in sister chromatid cohesion and transcriptional regulation by maintaining nucleosome-free regions Nat Genet 2014 46 1147 1151 25173104 PMC4177232
- [52]Painter MW Davis S Hardy RR Mathis D Benoist C Transcriptomes of the B and T Lineages Compared by Multiplatform Microarray Profiling J Immunol 2011 186 3047 3057 21307297 PMC3140206
- [53]Matatall KA Chronic Infection Depletes Hematopoietic Stem Cells through Stress-Induced Terminal Differentiation Cell Rep 2016 17 2584 2595 27926863 PMC5161248
- [54]Shalek AK Single-cell RNA-seq reveals dynamic paracrine control of cellular variation Nature 2014 510 363 369 24919153 PMC4193940
- [55]Heidinger-Pauli JM Mert O Davenport C Guacci V Koshland D Systematic Reduction of Cohesin Differentially Affects Chromosome Segregation, Condensation, and DNA Repair Curr Biol 2010 20 957 963 20451387 PMC2892909
- [56]Deardorff MA Noon SE Krantz ID Cornelia de Lange Syndrome. GeneReviews® Seattle (WA) University of Washington, Seattle; 1993-2018 2005 9 16 updated 2016 Jan 28 [Internet] 20301283
- [57]Seibler J Rapid generation of inducible mouse mutants Nucleic Acids Res 2003 31 e12 12582257 PMC150244
- [59]Carpenter AE CellProfiler: image analysis software for identifying and quantifying cell phenotypes Genome Biol 2006 7 R100 17076895 PMC1794559
- [60]Buenrostro JD Giresi PG Zaba LC Chang HY Greenleaf WJ Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position Nat Methods 2013 10 1213 1218 24097267 PMC3959825
- [61]Splinter E de Wit E van de Werken HJG Klous P de Laat W Determining long-range chromatin interactions for selected genomic sites using 4C-seq technology: From fixation to computation Methods 2012 58 221 230 22609568
- [62]van de Werken HJG Robust 4C-seq data analysis to screen for regulatory DNA interactions Nat Methods 2012 9 969 972 22961246
- [63]Kim D TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions Genome Biol 2013 14 R36 23618408 PMC4053844
- [64]Anders S Pyl PT Huber W HTSeq--a Python framework to work with high-throughput sequencing data Bioinformatics 2015 31 166 9 25260700 PMC4287950
- [65]Love MI Huber W Anders S Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 Genome Biol 2014 15 550 25516281 PMC4302049
- [68]Mi H PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements Nucleic Acids Res 2017 45 D183 D189 27899595 PMC5210595
- [69]Carroll TS Liang Z Salama R Stark R de Santiago I Impact of artifact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data Front Genet 2014 5 75 24782889 PMC3989762
- [70]Zhang Y Model-based Analysis of ChIP-Seq (MACS) Genome Biol 2008 9 R137 18798982 PMC2592715
- [71]Heinz S Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities Mol Cell 2010 38 576 589 20513432 PMC2898526
- [72]Whyte WA Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes Cell 2013 153 307 319 23582322 PMC3653129
- [73]Robinson MD McCarthy DJ Smyth GK edgeR: a Bioconductor package for differential expression analysis of digital gene expression data Bioinformatics 2010 26 139 140 19910308 PMC2796818
- [74]McCarthy DJ Chen Y Smyth GK Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation Nucleic Acids Res 2012 40 4288 97 22287627 PMC3378882
- [75]Robinson MD Oshlack A A scaling normalization method for differential expression analysis of RNA-seq data Genome Biol 2010 11 R25 20196867 PMC2864565
- [76]Ritchie ME limma powers differential expression analyses for RNA-sequencing and microarray studies Nucleic Acids Res 2015 43 e47 e47 25605792 PMC4402510
- [77]Law CW Chen Y Shi W Smyth GK voom: precision weights unlock linear model analysis tools for RNA-seq read counts Genome Biol 2014 15 R29 24485249 PMC4053721
- [78]Phipson B Lee S Majewski IJ Alexander WS Smyth GK Robust hyperparameter estimation protects against hypervariable genes and improves power to detect differential expression Ann Appl Stat 2016 10 946 963 28367255 PMC5373812
- [81]Servant N HiTC: exploration of high-throughput ‘C’ experiments Bioinformatics 2012 28 2843 2844 22923296 PMC3476334
- [82]Lun ATL Perry M Ing-Simmons E Infrastructure for genomic interactions: Bioconductor classes for Hi-C, ChIA-PET and related experiments F1000Research 2016 5 950 27303634 PMC4890298
- [83]Harmston N Ing-Simmons E Perry M Barešić A Lenhard B GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data BMC Genomics 2015 16 963 26576536 PMC4650858
- [84]Hahne F Ivanek R Visualizing Genomic Data Using Gviz and Bioconductor Methods in molecular biology (Clifton, N. J.) 2016 1418 335 351 27008022
- [85]Kruse K Hug CB Hernández-Rodríguez B Vaquerizas JM TADtool: visual parameter identification for TAD-calling algorithms Bioinformatics 2016 32 3190 3192 27318199 PMC5048066
- [86]Amit I Unbiased Reconstruction of a Mammalian Transcriptional Network Mediating Pathogen Responses Science 2009 326 257 263 19729616 PMC2879337
- [87]Garber M A High-Throughput Chromatin Immunoprecipitation Approach Reveals Principles of Dynamic Gene Regulation in Mammals Mol Cell 2012 47 810 822 22940246 PMC3873101
- Authors
- Cuartero, S., Weiss, F. D., Dharmalingam, G., Guo, Y., Ing-Simmons, E., Masella, S., Robles-Rebollo, I., Xiao, X., Wang, Y.-F., Barozzi, I., Djeghloul, D., Amano, M. T., Niskanen, H., Petretto, E., Dowell, R. D., Tachibana, K., Kaikkonen, M. U., Nasmyth, K. A., Lenhard, B., Natoli, G., Fisher, A. G., & Merkenschlager, M.
- Affiliations
- MRC London Institute of Medical Sciences (GB)
- European Institute of Oncology (IT)
- Imperial College London (GB)
- Hospital Sírio-Libanês (BR)
- University of Eastern Finland (FI)
- Duke-NUS Medical School (SG)
- University of Colorado Boulder (US)
- University of Oxford (GB)
- Humanitas University (IT)
- Corresponding author
- Merkenschlager, Matthias
- ORCID
- Cuartero, Sergi
- Weiss, Felix D.
- Guo, Ya
- Ing-Simmons, Elizabeth
- Robles-Rebollo, Irene
- Xiao, Xiaolin
- Wang, Yi-Fang
- Barozzi, Iros
- Djeghloul, Dounia
- Amano, Mariane T.
- Niskanen, Henri
- Petretto, Enrico
- Dowell, Robin D.
- Kaikkonen, Minna U.
- Nasmyth, Kim A.
- Lenhard, Boris
- Natoli, Gioacchino
- Fisher, Amanda G.
- Merkenschlager, Matthias
- Venue
- Nature Immunology
- Published
- 2018-08-20
- Volume
- 19
- Issue
- 9
- Pages
- 932-941
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC6195188
- OpenAlex
- W2886894187
- Cited by
- 210
- References
- 90
- Citations by year
- 2026: 21 · 2025: 24 · 2024: 17 · 2023: 29 · 2022: 32 · 2021: 33 · 2020: 30 · 2019: 22 · 2018: 2
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Oxford University Research Archive (ORA) (University of Oxford) (acceptedVersion)
- HAL (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Funders
- Wellcome Trust (078241/Z/05/Z, 107935/Z/15/Z, 099276/Z/12/Z, 078241, 099276, 692789)
- Cancer Research UK (12386, 26747)
- Medical Research Council (MC_EX_MR/S300009/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Health Sciences › Medicine › Hematology › Hematopoietic Stem Cell Transplantation
- Keywords
- cohesin, hematopoietic stem and progenitor cells, myeloid differentiation, macrophages, inducible gene expression, enhancer activity, inflammatory gene expression, CTCF, chromatin looping, 3D genome organization, acute myeloid leukemia, cohesin mutations
- MeSH terms
- Cell Self Renewal, Cohesins, Animals, Cell Differentiation, Cells, Cultured, Chromosomal Proteins, Non-Histone, DNA-Binding Proteins, Gene Expression Regulation, Hematopoietic Stem Cells, Humans, Inflammation, Lipopolysaccharides, Macrophages, Mutation, Nuclear Proteins, Phosphoproteins, Leukemia, Myeloid, Acute, Mice, Knockout, Cell Cycle Proteins, Mice, High-Throughput Nucleotide Sequencing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review