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A map of the cis-regulatory sequences in the mouse genome
Open accessAbstract
The laboratory mouse is the most widely used mammalian model organism in biomedical research. The 2.6 × 10(9) bases of the mouse genome possess a high degree of conservation with the human genome, so a thorough annotation of the mouse genome will be of significant value to understanding the function of the human genome. So far, most of the functional sequences in the mouse genome have yet to be found, and the cis-regulatory sequences in particular are still poorly annotated. Comparative genomics has been a powerful tool for the discovery of these sequences, but on its own it cannot resolve their temporal and spatial functions. Recently, ChIP-Seq has been developed to identify cis-regulatory elements in the genomes of several organisms including humans, Drosophila melanogaster and Caenorhabditis elegans. Here we apply the same experimental approach to a diverse set of 19 tissues and cell types in the mouse to produce a map of nearly 300,000 murine cis-regulatory sequences. The annotated sequences add up to 11% of the mouse genome, and include more than 70% of conserved non-coding sequences. We define tissue-specific enhancers and identify potential transcription factors regulating gene expression in each tissue or cell type. Finally, we show that much of the mouse genome is organized into domains of coordinately regulated enhancers and promoters. Our results provide a resource for the annotation of functional elements in the mammalian genome and for the study of mechanisms regulating tissue-specific gene expression.
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“Furthermore, an analysis of publically available DNase I hypersensitivity data (Shen et al., 2012) confirmed that >60% of embryonic sites remain accessible in the adult liver (data not shown).”
From Hippo Signaling Influences HNF4A and FOXA2 Enhancer Switching during Hepatocyte Differentiation (2014) · cites this paper as Shen et al., 2012
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Cites
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
Topological domains in mammalian genomes identified by analysis of chromatin interactions
Dixon, J. R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., Hu, M., Liu, J. S., & Ren, B. (2012) · Nature · doi:10.1038/nature11082 · Cited by 6,829
Self-citationThe ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 3,971
Heintzman, N. D., Stuart, R. K., Hon, G., Fu, Y., Ching, C. W., Hawkins, R. D., Barrera, L. O., Van Calcar, S., Qu, C., Ching, K. A., et al. (2007) · Nature Genetics · doi:10.1038/ng1966 · Cited by 3,398
Self-citationPruitt, K., Tatusova, T., & Maglott, D. (2004) · Nucleic Acids Res. · doi:10.1093/nar/gki025 · Cited by 3,248
Mapping and analysis of chromatin state dynamics in nine human cell types
Ernst, J., Kheradpour, P., Mikkelsen, T. S., Shoresh, N., Ward, L. D., Epstein, C. B., Zhang, X., Wang, L., Issner, R., Coyne, M., et al. (2011) · Nature · doi:10.1038/nature09906 · Cited by 2,898
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Handel, A., Shikama-Dorn, N., Zhanybekova, S., Maio, S., Graedel, A. N., Žuklys, S., Ponting, C., & Holländer, G. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02120 · Cited by 19
“Tissue Specificity The tissue specificity of genes was estimated using tau on the RNA-seq data available from the mouse ENCODE project (31, 32).”
MethodHe, Y., & Wang, T. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx371 · Cited by 17
TRACER: a resource to study the regulatory architecture of the mouse genome
Chen, C.-K., Symmons, O., Uslu, V. V., Tsujimura, T., Ruf, S., Smedley, D. P., & Spitz, F. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-215 · Cited by 16
“[66,67], Topological Associated Domains defined by chromosomal interaction biases [68,69], and Enhancer-Promoter Units that are revealed by clusters of coincident promoter-enhancer chromatin signatures [70].”
BackgroundMinireview: Conversing With Chromatin: The Language of Nuclear Receptors
Biddie, S. C., & John, S. (2013) · Molecular Endocrinology · doi:10.1210/me.2013-1247 · Cited by 22
“The regulation of these chromatin features is highly cell-specific and help delineate cell-type-restricted regulatory elements established during lineage determination (15, 29, 56, 57).”
Zhu, Q., Niu, Y., Gundry, M., & Zong, C. (2021) · Science Advances · doi:10.1126/sciadv.abf3329 · Cited by 18
DNA methyltransferase 1 modulates mitochondrial function through bridging m5C RNA methylation
Wang, J., Deng, X., Jian, T., Yin, S., Chen, L. R., Vergnes, L., Li, Z., Liu, H.-C., Lee, R. C., Lim, S. Y., et al. (2025) · Molecular Cell · doi:10.1016/j.molcel.2025.04.019 · Cited by 21
Vukić, M., Chouaref, J., Chiara, V. D., Dogan, S., Ratner, F., Hogenboom, J. Z. M., Epp, T. A., Chawengsaksophak, K., Vonk, K. K. D., Breukel, C., et al. (2024) · Science Advances · doi:10.1126/sciadv.adk3384 · Cited by 18
Transcriptional enhancers: from prediction to functional assessment on a genome-wide scale
Tobias, I. C., Abatti, L. E., Moorthy, S. D., Mullany, S., Taylor, T., Khader, N., Filice, M., & Mitchell, J. A. (2020) · Genome · doi:10.1139/gen-2020-0104 · Cited by 25
“The estimated number of enhancer elements within the human genome exceeds several hundred thousand, far outnumbering protein coding genes (Shen et al. 2012; ENCODE Consortium et al. 2013).”
BackgroundTissue-Specific Trans Regulation of the Mouse Epigenome
Baker, C. L., Walker, M., Arat, S., Ananda, G., Petkova, P., Powers, N. R., Tian, H., Spruce, C. A., Ji, B., Rausch, D. M., et al. (2018) · Genetics · doi:10.1534/genetics.118.301697 · Cited by 17
“they corresponded to promoters, based on overlapping TSS, or to enhancers and CTCF sites using mouse ENCODE testis datasets (Shen et al. 2012), or to transposable elements.”
MethodCisMapper: predicting regulatory interactions from transcription factor ChIP-seq data
O'Connor, T., Bodén, M., & Bailey, T. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw956 · Cited by 18
Lu, Y., Shan, G., Xue, J., Chen, C., & Zhang, C. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw249 · Cited by 19
“Another study showed that the correlation between the intensity of H3K4me1 at enhancers and Pol II signal at promoters within each CTCF-demarcated domain was only slightly higher than that of random enhancerpromoter pairs (11).”
BackgroundCreating and validating cis-regulatory maps of tissue-specific gene expression regulation
O'Connor, T., & Bailey, T. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku801 · Cited by 18
Choukrallah, M.-A., Sierro, N., Martin, F. P., Baumer, K., Thomas, J., Ouadi, S., Hoeng, J., Peitsch, M. C., & Ivanov, N. V. (2018) · Food and Chemical Toxicology · doi:10.1016/j.fct.2018.11.020 · Cited by 18
(2016) · doi:10.1101/095802 · Cited by 17
“%) connect to an active regulatory region before treatment, based on H3K27Ac enrichment (Shen et al., 2012).”
Backgrounddel Blanco, B., Niñerola, S., Martín-González, A. M., Paraíso-Luna, J., Kim, M., Muñoz-Viana, R., Racovac, C., Sanchez-Mut, J., Ruan, Y.-J., & Barco, Á. (2024) · Nature Communications · doi:10.1038/s41467-024-45773-3 · Cited by 17
“Furthermore, many upDEGs directly bind CTCF 43 (Supplementary Fig.”
Regulation of Chromatin Architecture by Transcription Factor Binding
Portillo-Ledesma, S., Chung, S., Hoffman, J., & Schlick, T. (2023) · bioRxiv · doi:10.1101/2023.09.26.559535 · Cited by 17
Tissue-specific mitochondrial HIGD1C promotes oxygen sensitivity in carotid body chemoreceptors
Timón-Gómez, A., Scharr, A. L., Wong, N. Y., Ni, E., Roy, A., Liu, M., Chau, J., Lampert, J. L., Hireed, H., Kim, N. S., et al. (2022) · eLife · doi:10.7554/elife.78915 · Cited by 17
“Ndufs2 is ubiquitously expressed and essential for CI activity, whereas Cox4i2 expression is limited to several tissues, including the lung, placenta, heart, tongue, breast, and adipose tissue ( Shen et al., 2012 ; Uhlén et al., 2015 ; Figure 1—figure supplement 1A–”
Esrrb is a cell-cycle-dependent associated factor balancing pluripotency and XEN differentiation
Levy, S. H., Cohen, S. F., Arnon, L., Lahav, S., Awawdy, M., Alajem, A., Bavli, D., Sun, X., Buganim, Y., & Ram, O. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.04.016 · Cited by 17
TADA—a machine learning tool for functional annotation-based prioritisation of pathogenic CNVs
Hertzberg, J., Mundlos, S., Vingron, M., & Gallone, G. (2022) · Genome biology · doi:10.1186/s13059-022-02631-z · Cited by 21
“TADs are known to approximately represent windows of constrained regulatory interactions [35].”
BackgroundComparison of transcriptional initiation by RNA polymerase II across eukaryotic species
Petrenko, N., & Struhl, K. (2021) · eLife · doi:10.7554/elife.67964 · Cited by 25
The Impact of Space and Time on the Functional Output of the GenomePreprint
Nollmann, M., Bennabi, I., Götz, M., & Gregor, T. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a040378 · Cited by 23
“1E; Shen et al. 2012; Dowen et al. 2014; Symmons et al. 2014; Ji et al. 2016; Neems et al. 2016; Ron et al. 2017).”
Directed Evolution of an Enhanced POU Reprogramming Factor for Cell Fate Engineering
Tan, D. S., Chen, Y., Gao, Y., Bednarz, A., Wei, Y., Malik, V., Ho, D., Weng, M., Ho, S. Y., Srivastava, Y., et al. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab075 · Cited by 17
“Likewise, when inspecting the subset of sites annotated as MEF enhancers (Shen et al. 2012), we found that Oct4 and ePOU alone induced minimal changes but given the presence of Sox2 or Klf4, ePOU accelerated the closing of these somatic sites (supplementary fig.”
BackgroundProfiling the circulating mRNA transcriptome in human liver disease
Sayeed, A., Dalvano, B., Kaplan, D. E., Viswanathan, U., Kulp, J., Janneh, A. H., Hwang, L., Ertel, A., Doria, C., & Block, T. (2020) · OncoTarget · doi:10.18632/oncotarget.27617 · Cited by 17
“Transcript counts and abundances expressed in transcripts per million (TPM) were estimated based on GENCODE v28 gene annotations using the RSEM algorithm.”
MethodGene regulatory landscape of the sonic hedgehog locus in embryonic development
Amano, T. (2020) · Development Growth & Differentiation · doi:10.1111/dgd.12668 · Cited by 23
“Many genes are under control of multiple enhancers that activate transcription in the same cell type (Osterwalder et al., 2018; Shen et al., 2012).”
BackgroundMethodInfluentialKim, H. J., Osteil, P., Humphrey, S. J., Cinghu, S., Oldfield, A., Patrick, E., Wilkie, E. E., Peng, G., Suo, S., Jothi, R., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1179 · Cited by 18
MCF-7 as a Model for Functional Analysis of Breast Cancer Risk Variants
Booms, A., Coetzee, G. A., & Pierce, S. E. (2019) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-19-0066 · Cited by 24
The genomic distribution of histone H3K4me2 in spermatogonia is highly conserved in sperm†
Lambrot, R., Siklenka, K., Lafleur, C., & Kimmins, S. (2019) · Biology of Reproduction · doi:10.1093/biolre/ioz055 · Cited by 17
Functional characteristics of novel pancreatic Pax6 regulatory elements
Buckle, A., Nozawa, R.-S., Kleinjan, D., & Gilbert, N. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy255 · Cited by 17
Dismissal of RNA Polymerase II Underlies a Large Ligand-Induced Enhancer Decommissioning Program
Tan, Y., Jin, C., Ma, W., Hu, Y., Tanasă, B., Oh, S., Gamliel, A., Ma, Q., Yao, L., Zhang, J., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.07.039 · Cited by 21
“In light of a previous study that assigned the enhancers and their target genes (Shen et al., 2012), it could be determined that knockdown of Kdm2a also caused an induction of the cognate target gene expression in mESCs (Figure S7L).”
Thyroid hormone deiodination and action in the gonads
Hernández, A. (2018) · Current Opinion in Endocrine and Metabolic Research · doi:10.1016/j.coemr.2018.01.010 · Cited by 22
Mammalian Brain Development is Accompanied by a Dramatic Increase in Bipolar DNA Methylation
Sun, M.-A., Sun, Z., Wu, X., Rajaram, V., Keimig, D., Lim, J., Zhu, H., & Xie, H. (2016) · Scientific Reports · doi:10.1038/srep32298 · Cited by 19
CRISPR Double Cutting through the Labyrinthine Architecture of 3D Genomes
Huang, H., & Wu, Q. (2016) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2016.03.006 · Cited by 19
TROM: A Testing-Based Method for Finding Transcriptomic Similarity of Biological Samples
Li, W. V., Chen, Y. E., & Li, J. J. (2016) · Statistics in Biosciences · doi:10.1007/s12561-016-9163-y · Cited by 19
“Comparing transcriptomes of the same species can reveal molecular mechanisms behind the occurrence and progression of important biological processes, such as organism development and stem cell differentiation [12,19].”
BackgroundLoss of SFRP4 Alters Body Size, Food Intake, and Energy Expenditure in Diet-Induced Obese Male Mice
Mastaitis, J. W., Eckersdorff, M., Min, S. H., Xin, Y., Cavino, K., Aglione, J., Okamoto, H., Na, E., Stitt, T. N., Dominguez, M. G., et al. (2015) · Endocrinology · doi:10.1210/en.2015-1257 · Cited by 19
“Using regulatory element analysis (11), we found that a single regulatory element for Epdr1 was deleted in the Sfrp4 / mice.”
BackgroundLaurent, A., Calabrese, M., Warnatz, H., Yaspo, M., Tkachuk, V., Torres, M., Blasi, F., & Penkov, D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0122518 · Cited by 17
“Likewise [22], 393 non TSS-associated Prep1-bound peaks had histone modifications (H3K4Me1 and H3K4Me3) identifying TSS-distal enhancers (Table 1).”
BackgroundDuan, J. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1488-2 · Cited by 14
“Moreover, animal models may not elicit the expected functional impact of human variations([92]) because regulatory variants are often species-specifi c([93]).”
OccuPeak: ChIP-Seq Peak Calling Based on Internal Background Modelling
de Boer, B. A., van Duijvenboden, K., van den Boogaard, M., Christoffels, V. M., Barnett, P., & Ruijter, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099844 · Cited by 13
“Recent estimations indicate that ~90% of disease and trait-associated variants occur within non-coding sequences, a large number of which may correspond to regulatory elements (30,33,34).”
BackgroundORMAN: Optimal resolution of ambiguous RNA-Seq multimappings in the presence of novel isoforms
Dao, P., Numanagić, I., Lin, Y., Hach, F., Karakoç, E., Donmez, N., Collins, C. C., Eichler, E. E., & Şahinalp, S. C. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt591 · Cited by 16
Genetic evidence for conserved non-coding element function across species–the ears have it
Turner, E. E., & Cox, T. C. (2014) · Frontiers in Physiology · doi:10.3389/fphys.2014.00007 · Cited by 19
“Such genome-wide analyses of the human and mouse chromatin landscapes in several cell types are now accessible in searchable databases (Ernst et al., 2011; Shen et al., 2012).”
BackgroundChromatin looping and organization at developmentally regulated gene loci
Noordermeer, D., & Duboule, D. (2013) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.103 · Cited by 17
Between form and function: the complexity of genome folding
Oudelaar, A. M., Hanssen, L. L. P., Hardison, R. C., Kassouf, M. T., Hughes, J. R., & Higgs, D. R. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx306 · Cited by 16
Epigenetic inheritance is unfaithful at intermediately methylated CpG sites
Hay, A. D., Kessler, N. J., Gebert, D., Takahashi, N., Tavares, H., Teixeira, F. K., & Ferguson‐Smith, A. C. (2023) · Nature Communications · doi:10.1038/s41467-023-40845-2 · Cited by 21
Wright, S. N., Leger, B. S., Rosenthal, S. B., Liu, S. N., Jia, T., Chitre, A. S., Polesskaya, O., Holl, K., Gao, J., Cheng, R., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112873 · Cited by 15
A Myb enhancer-guided analysis of basophil and mast cell differentiation
Matsumura, T., Totani, H., Gunji, Y., Fukuda, M., Yokomori, R., Deng, J., Rethnam, M., Yang, C., Tan, T. K., Karasawa, T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34906-1 · Cited by 21
Warwick, T., Schulz, M. H., Gilsbach, R., Brandes, R. P., & Seuter, S. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac178 · Cited by 16
Yang, T.-H., Yang, Y.-C., & Tu, K.-C. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.12.015 · Cited by 17
Genome-wide variability in recombination activity is associated with meiotic chromatin organizationPreprint
Jin, X., Fudenberg, G., & Pollard, K. S. (2021) · Genome Research · doi:10.1101/gr.275358.121 · Cited by 25
Arrastia, M. V., Jachowicz, J. W., Ollikainen, N., Curtis, M. S., Lai, C., Quinodoz, S. A., Selck, D. A., Guttman, M., & Ismagilov, R. F. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.11.242081 · Cited by 15
Jensen, S., Brasset, É., Parey, E., Crollius, H. R., Sharakhov, I. V., & Vaury, C. (2020) · Cells · doi:10.3390/cells9061491 · Cited by 19
“TissueEnrich defines tissue-specific genes using RNA-Seq data in 35 human tissues from the Human Protein Atlas (55) and in 17 mouse tissues from the Mouse ENCODE Dataset (56).”
Method4See: A Flexible Browser to Explore 4C Data
Zouari, Y. B., Platania, A., Molitor, A., & Sexton, T. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2019.01372 · Cited by 16
Guyon, C., Jmari, N., Padonou, F., Li, Y.-C., Ucar, O., Fujikado, N., Coulpier, F., Blanchet, C., Root, D. E., & Giraud, M. (2020) · eLife · doi:10.7554/elife.52985 · Cited by 21
Chromatin Evolution-Key Innovations Underpinning Morphological Complexity
Hajheidari, M., Koncz, C., & Bucher, M. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00454 · Cited by 26
Colbran, L. L., Chen, L., & Capra, J. A. (2019) · Genetics · doi:10.1534/genetics.118.301895 · Cited by 16
“Several studies have reported distinct TF-binding preferences between enhancers and promoters (Rada-Iglesias et al. 2011; Shen et al. 2012; Thurman et al. 2012; Core et al. 2014; Nguyen et al. 2016), and some of these differences may be due to differences in GC content (Andersson et al. 2014).”
BackgroundChowdhury, I. H., Narra, H. P., Sahni, A., Khanipov, K., Fofanov, Y., & Sahni, S. K. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2018.03014 · Cited by 17
“Presence of CTCF binding sites in the same domain of enhancer and promoter of the PCG blocks the interaction between these regulatory elements of the genome (31).”
BackgroundMethodFrom association to mechanism in complex disease genetics: the role of the 3D genome
Fu, Y., Tessneer, K. L., Li, C., & Gaffney, P. M. (2018) · Arthritis Research & Therapy · doi:10.1186/s13075-018-1721-x · Cited by 21
Quantitative differences in TAD border strength underly the TAD hierarchy in Drosophila chromosomes
Luzhin, A. V., Flyamer, I. M., Khrameeva, E. E., Ulianov, S. V., Razin, S. V., & Gavrilov, A. A. (2018) · Journal of Cellular Biochemistry · doi:10.1002/jcb.27737 · Cited by 22
Stephen-Victor, E., Sharma, V., Das, M., Karnam, A., Saha, C., Lecerf, M., Galeotti, C., Kaveri, S., & Bayry, J. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2016.00465 · Cited by 16
“In contrast, H3K27ac was present at all active promoter classes, regardless of cell-type specificity, which is consistent with the association of this histone mark with transcriptional elongation (Stasevich et al. 2014).”
BackgroundSokol, M., Jessen, K. M., & Pedersen, F. S. (2015) · Retrovirology · doi:10.1186/s12977-015-0161-9 · Cited by 15
“It is widely established that enhancers may act over very large distances and interact with multiple promoters [25,47,48], and activation through this mechanism has been described for some LTRs as well as non-LTR repeats [40,49-51].”
BackgroundMethodThe Future of Neuroepigenetics in the Human Brain
Mitchell, A., Roussos, P., Peter, C. J., Tsankova, N. M., & Akbarian, S. (2014) · Progress in molecular biology and translational science · doi:10.1016/b978-0-12-800977-2.00008-5 · Cited by 24
Kadota, S., Ou, J., Shi, Y., Lee, J. T., Sun, J., & Yildirim, E. (2020) · Nature Communications · doi:10.1038/s41467-020-16394-3 · Cited by 89
Jaura, R., Yeh, S.-Y., Montanera, K. N., Ialongo, A., Anwar, Z., Lu, Y., Puwakdandawa, K., & Rhee, H. S. (2022) · Nature Communications · doi:10.1038/s41467-022-30192-z · Cited by 19
Mao, J., Kinkade, J. A., Bivens, N. J., Roberts, R. M., & Rosenfeld, C. S. (2021) · Placenta · doi:10.1016/j.placenta.2021.09.021 · Cited by 16
Alajem, A., Roth, H., Ratgauzer, S., Bavli, D., Motzik, A., Lahav, S., Peled, I., & Ram, O. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009498 · Cited by 22
“Next, we linked the enhancers with their target genes using the mouse cis-regulatory atlas [38].”
MethodInfluentialMatthews, B. J., & Waxman, D. J. (2020) · Epigenetics & Chromatin · doi:10.1186/s13072-020-00350-y · Cited by 22
Loops and the activity of loop extrusion factors constrain chromatin dynamics
Bailey, M. L. P., Surovtsev, I. V., Williams, J. F., Yan, H., Yuan, T., Li, K., Duseau, K., Mochrie, S. G. J., & King, M. C. (2023) · Molecular Biology of the Cell · doi:10.1091/mbc.e23-04-0119 · Cited by 22
Pluripotency factors regulate the onset of Hox cluster activation in the early embryo
Tiana, M., López-Jiménez, E., de Aja, J. S., Barral, A., Victorino, J., Badía-Careaga, C., Rollan, I., Rouco, R., Santos, E., Sánchez-Iranzo, H., et al. (2019) · bioRxiv · doi:10.1101/564658 · Cited by 15
Cis-regulatory determinants of MyoD function
Soleimani, V. D., Nguyen, D., Ramachandran, P., Palidwor, G., Porter, C. J., Yin, H., Perkins, T. J., & Rudnicki, M. A. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky388 · Cited by 16
“Genome-wide binding data of transcription factor occupancy together with high-resolution mapping of various regulatory histone marks have provided an extensive catalog of CREs in mice and human (11,12).”
BackgroundPartridge, E. C., Watkins, T. A., & Mendenhall, E. M. (2016) · BioEssays · doi:10.1002/bies.201600028 · Cited by 15
Epigenetics and Evolution: Transposons and the Stochastic Epigenetic Modification Model
Branciamore, S., Rodin, A., Gogoshin, G., & Riggs, A. (2015) · AIMS Genetics · doi:10.3934/genet.2015.2.148 · Cited by 15
“Enhancers act at a distance, are often epigenetically modified, and the modification is changed during development [36].”
BackgroundChromatin Dynamics during Differentiation of Myeloid Cells
Schönheit, J., Leutz, A., & Rosenbauer, F. (2014) · Journal of Molecular Biology · doi:10.1016/j.jmb.2014.08.015 · Cited by 15
Almenar-Queralt, A., Kim, S., Benner, C., Herrera, C., Kang, D. E., Garcia-Bassets, I., & Goldstein, L. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.513705 · Cited by 15
LincRNA‐EPS impairs host antiviral immunity by antagonizing viral RNA–PKR interaction
Zhu, J., Chen, S.-C., Sun, L.-Q., Liu, S.-Y., Bai, X., Li, D.-P., Zhang, F., Qiao, Z., Li, L., Yao, H.-P., et al. (2022) · EMBO Reports · doi:10.15252/embr.202153937 · Cited by 14
Multiple parameters shape the 3D chromatin structure of single nuclei at the doc locus in Drosophila
Götz, M., Messina, O., Espínola, S., Fiche, J.-B., & Nöllmann, M. (2022) · Nature Communications · doi:10.1038/s41467-022-32973-y · Cited by 16
“TADs often encapsulate cis -regulatory elements (CREs), thereby facilitating interactions between enhancers and promoters that are critical for transcriptional regulation 6–11 .”
Gizzi, A. M. C. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.780822 · Cited by 13
“One spatial genomics study was able to establish a “chromatin profile” based on the multiplexed detection of several histone marks at specific DNA locus that matched ChIP-seq (Shen et al., 2012) or SPRITE measurements (Quinodoz et al., 2018) at 1-Mb resolution, but in this case with single-cell information.”
BackgroundInfluentialInference of 3D genome architecture by modeling overdispersion of Hi-C data
Varoquaux, N., Noble, W. S., & Vert, J. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btac838 · Cited by 16
“DNA in vivo is folded in three dimensions, and this 3D structure plays an important role in many biological functions, including gene regulation, DNA replication, and DNA repair (De and Michor, 2011; Dixon et al. , 2012; Ryba et al. , 2010; Shen et al. , 2012).”
Tsagaratou, A. (2021) · Immunological Reviews · doi:10.1111/imr.12940 · Cited by 16
Neonatal thyroxine activation modifies epigenetic programming of the liver
Fonseca, T. L., Garcia, T., Fernandes, G. W., Nair, T. M., & Bianco, A. C. (2021) · Nature Communications · doi:10.1038/s41467-021-24748-8 · Cited by 24
Abe, S., Nagatomo, H., Sasaki, H., & Ishiuchi, T. (2020) · Epigenetics · doi:10.1080/15592294.2020.1841873 · Cited by 14
Differentially Methylated Super-Enhancers Regulate Target Gene Expression in Human Cancer
Flam, E. L., Danilova, L., Kelley, D. Z., Stavrovskaya, E. D., Guo, T. W., Considine, M., Qian, J. X., Califano, J. A., Favorov, A. V., Fertig, E. J., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-51018-x · Cited by 18
Diao, H., & Pipkin, M. E. (2019) · F1000Research · doi:10.12688/f1000research.18211.1 · Cited by 14
Deconvolving sequence features that discriminate between overlapping regulatory annotations
Kakumanu, A., Velasco, S., Mazzoni, E., & Mahony, S. (2017) · bioRxiv · doi:10.1371/journal.pcbi.1005795 · Cited by 14
“If we had used analysis methods that rely on mutually exclusive categories, we would need to restrict analysis to ~97,000 sites labeled as either shared or exclusive to one of the six cell types (Shen et al , 2012).”
MethodÄijö, T., Huang, Y., Mannerström, H., Chávez, L., Tsagaratou, A., Rao, A., & Lähdesmäki, H. J. (2016) · Genome biology · doi:10.1186/s13059-016-0911-6 · Cited by 18
“Intriguingly, these loci reside in the vicinity of a promoter of a long non-coding gene, Pvt1 (plasmacytoma variant translocation 1; Figure S10c in Additional file 4) and an intronic enhancer within Igsf21 (immunoglobin superfamily, member 21; Figure S10a in Additional file 4) identified in mESCs [51].”
BackgroundESCI award lecture: regulation, function and biomarker potential of DNA methylation
Schübeler, D. (2015) · European Journal of Clinical Investigation · doi:10.1111/eci.12403 · Cited by 17
Cotney, J. L., & Noonan, J. P. (2015) · Cold Spring Harbor Protocols · doi:10.1101/pdb.prot084848 · Cited by 42
Tao, Y., Zheng, W., Jiang, Y., Ding, G., Hou, X., Tang, Y., Li, Y., Gao, S., Chang, G., Zhang, X., et al. (2014) · BMC Biology · doi:10.1186/s12915-014-0109-x · Cited by 12
The Persistent Contributions of RNA to Eukaryotic Gen(om)e Architecture and Cellular FunctionPreprint
Brosius, J. (2014) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a016089 · Cited by 15
Malt, A. L., Cesario, J. M., Tang, Z., Brown, S. M., & Jeong, J. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.592014 · Cited by 13
Shu Dong, X. I. A. O., Cao, X., & Zhong, S. (2014) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1274 · Cited by 13
“7 , 30 , 31 Mapping and comparing epigenomes during a developmental or a differentiation process has become a popular experimental approach.”
BackgroundRecruitment of Transcription Complexes to Enhancers and the Role of Enhancer Transcription
Stees, J. R., Varn, F., Huang, S., Strouboulis, J., & Bungert, J. (2012) · Biology · doi:10.3390/biology1030778 · Cited by 10
“A recent map of cis-regulatory DNA elements in the mouse genome suggests that the number of enhancers far exceeds the number of genes [6].”
BackgroundEfficient and Accurate Detection of Topologically Associating Domains from Contact Maps
Ardakany, A. R., & Lonardi, S. (2017) · Workshop on Algorithms in Bioinformatics · doi:10.4230/lipics.wabi.2017.22 · Cited by 14
Giorgetti, L., Piolot, T., & Heard, É. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-2253-6_3 · Cited by 11
Interaction of methyl-CpG-binding protein 2 (MeCP2) with distinct enhancers in the mouse cortex
Mishra, G. P., Sun, E. X., Chin, T., Eckhardt, M., Greenberg, M. E., & Stroud, H. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01808-y · Cited by 15
“We correlated the MBH sites with several ENCODE brain ChIP–seq datasets 28 and confirmed that MBH sites most significantly correlated with H3K27ac and CTCF binding sites, genomic features that are implicated in enhancer regulation (Supplementary Fig.”
Artificial selection footprints in indigenous and commercial chicken genomes
Wu, S.-W., Dou, T.-F., Wang, K., Yuan, S.-S., Yan, S.-X., Xu, Z., Liu, Y., Jian, Z.-H., Zhao, J., Zhao, R., et al. (2024) · BMC Genomics · doi:10.1186/s12864-024-10291-5 · Cited by 13
“Therefore, it is pressing to map out the cis -regulatory elements in the chicken reference genome as has been done for C. elegans [83, 84], D. melanogaster [83, 85], mice [86, 87] and humans [87, 88].”
BackgroundTranscriptional regulation of the thymus master regulator Foxn1
Kadouri, N., Givony, T., Nevo, S., Hey, J., Ben-Dor, S., Damari, G., Dassa, B., Dobeš, J., Weichenhan, D., Bähr, M., et al. (2022) · Science immunology · doi:10.1126/sciimmunol.abn8144 · Cited by 13
“Therefore, to map possible CTCF binding sites in the Foxn1 locus, we analyzed publicly available CTCF chromatin immunoprecipitation sequencing (ChIP-seq) datasets for tissues that do not express Foxn1 (45) in addition to mTEChi (Fig.”
MethodBoyling, A., Pérez‐Siles, G., & Kennerson, M. L. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.842860 · Cited by 15
“However, co-cultures and 3D organoid systems are becoming increasingly useful for establishing cellular interactions and creating 3D microenvironments that more closely resemble in vivo development (Shi et al., 2017; Lee et al., 2020).”
BackgroundGilbertson, S. E., & Weinmann, A. S. (2021) · Trends in Immunology · doi:10.1016/j.it.2021.10.007 · Cited by 12
A myocardin-adjacent lncRNA balances SRF-dependent gene transcription in the heartPreprint
Anderson, D. M., Anderson, K. M., Nelson, B. R., McAnally, J., Bezprozvannaya, S., Shelton, J. M., Bassel‐Duby, R., & Olson, E. N. (2021) · Genes & Development · doi:10.1101/gad.348304.121 · Cited by 16
“Promoter-specific H3K4Me3 histone modifications demarcate a single promoter site for CARDINAL in the developing and adult mouse heart (Supplemental Fig. S1A; Shen et al. 2012).”
BackgroundBarth, N. K. H., Li, L., & Taher, L. (2020) · Genome Biology and Evolution · doi:10.1093/gbe/evaa004 · Cited by 24
Landscape of Enhancer-Enhancer Cooperative Regulation during Human Cardiac Commitment
Chen, H., Xiao, J. Y., Shao, T., Wang, L., Bai, J., Li, X., Ding, N., Qu, Y., Tian, Y., Chen, X., et al. (2019) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2019.07.015 · Cited by 18
“For example, Shen et al.13 predicted enhancer-promoter pairs based on the correlation of the chromatin state at enhancer and the RNA polymerase II (Pol II) intensity at promoter for each possible pair of elements along a chromosome.”
BackgroundLarge-scale 3D chromatin reconstruction from chromosomal contacts
Zhang, Y., Liu, W., Lin, Y., Ng, Y. K., & Li, S. C. (2019) · BMC Genomics · doi:10.1186/s12864-019-5470-2 · Cited by 13
Metadata
- Authors
- Shen, Y., Yue, F., McCleary, D. F., Ye, Z., Edsall, L., Kuan, S., Wagner, U., Dixon, J., Lee, L., Lobanenkov, V. V., & Ren, B.
- Affiliations
- Ludwig Cancer Research (US)
- University of California San Diego (US)
- National Institutes of Health (US)
- Corresponding author
- Ren, Bing
- ORCID
- Venue
- Nature
- Published
- 2012-07-01
- Volume
- 488
- Issue
- 7409
- Pages
- 116-120
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4041622
- OpenAlex
- W2042930277
- Cited by
- 1,361
- References
- 29
- Citations by year
- 2026: 12 · 2025: 24 · 2024: 51 · 2023: 75 · 2022: 88 · 2021: 119 · 2020: 90 · 2019: 107 · 2018: 97 · 2017: 110 · 2016: 125 · 2015: 137 · 2014: 167 · 2013: 132 · 2012: 26
- FWCI
- 59.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Human Genome Research Institute (R01HG003991)
- National Institute of General Medical Sciences (T32GM007198)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- cis-regulatory sequences, mouse genome, enhancers, promoter, CTCF binding sites, tissue-specific gene expression, transcription factor binding, conserved non-coding elements, genome annotation, ChIP-seq
- MeSH terms
- Acetylation, Animals, Chromatin, Enhancer Elements, Genetic, Gene Expression Regulation, Male, Methylation, Mice, Inbred C57BL, Organ Specificity, Promoter Regions, Genetic, Regulatory Sequences, Nucleic Acid, Transcription Factors, Genome, Conserved Sequence, Sequence Analysis, DNA, Evolution, Molecular, Physical Chromosome Mapping, Chromatin Immunoprecipitation, Mice, Molecular Sequence Annotation, Nucleotide Motifs
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