The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Flagged first, then by citations
Research works printed but not linked: 2
Cited by
Sorted by citations
Items 101–200 of 1,005
Regulation of disease-associated gene expression in the 3D genome
Krijger, P. H. L., & de Laat, W. L. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.138 · Cited by 332
Dynamic DNA methylation orchestrates cardiomyocyte development, maturation and disease
Gilsbach, R., Preißl, S., Grüning, B. A., Schnick, T., Burger, L., Beneš, V., Würch, A., Bönisch, U., Günther, S., Backofen, R., et al. (2014) · Nature Communications · doi:10.1038/ncomms6288 · Cited by 328
ISMARA: automated modeling of genomic signals as a democracy of regulatory motifsPreprint
Balwierz, P. J., Pachkov, M. V., Arnold, P., Gruber, A. J., Zavolan, M., & van Nimwegen, E. (2014) · Genome Research · doi:10.1101/gr.169508.113 · Cited by 306
“…exhibit characteristic chromatin modification patterns (Heintzman et al. 2009), DNA methylation patterns (Stadler et al. 2011), and more generally DNA accessibility patterns (Boyle et al. 2008), has now led to the first genome-wide mappings of enhancers in specific cell types (Shen et al. 2012).”
BackgroundAndersson, L., Archibald, A. L., Bottema, C. D. K., Bräuning, R., Burgess, S. C., Burt, D. W., Casas, E., Cheng, H. H., Clarke, L., Couldrey, C., et al. (2015) · Genome biology · doi:10.1186/s13059-015-0622-4 · Cited by 361
“The evolutionary breadth of the Encyclopedia of DNA Elements (ENCODE) projects has been expanded from humans to classical model species (mouse [28,29], Drosophila [30], Caenorhabditis elegans [31] and zebrafish [32]).”
BackgroundFeng, S., Cokus, S. J., Schubert, V., Zhai, J., Pellegrini, M. A., & Jacobsen, S. E. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.07.008 · Cited by 365
“…their target promoters, aswell as interactions among centromeres, telomeres, early origins of replication, and chromosomal breakpoints (Crevillén et al., 2013; Dekker et al., 2013; Dixon et al., 2012; Duan et al., 2010; Jin et al., 2013; Li et al., 2012; Sanyal et al., 2012; Shen et al., 2012).”
BackgroundThe relationship between genome structure and function
Oudelaar, A. M., & Higgs, D. R. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-00303-x · Cited by 304
Structural and functional diversity of Topologically Associating Domains
Dekker, J., & Heard, É. (2015) · FEBS Letters · doi:10.1016/j.febslet.2015.08.044 · Cited by 332
“It has been proposed that TADs play roles in regulating gene expression by either facilitating or preventing looping interactions [3, 4, 22], which would point to mechanistic links between chromosome compartmentalization, chromatin folding and regulation of gene expression (see”
BackgroundYY1 and CTCF orchestrate a 3D chromatin looping switch during early neural lineage commitment
Beagan, J. A., Duong, M. T., Titus, K. R., Zhou, L., Cao, Z., Ma, J., Lachanski, C. V., Gillis, D. R., & Phillips-Cremins, J. E. (2017) · Genome Research · doi:10.1101/gr.215160.116 · Cited by 299
“These results confirm and extend recent reports suggesting that there is a larger class of dynamically occupied CTCF sites than previously appreciated (Shen et al. 2012; Maurano et al. 2015).”
Mapping of long-range chromatin interactions by proximity ligation-assisted ChIP-seqPreprint
Fang, R.-X., Yu, M., Li, G., Chee, S., Liu, T., Schmitt, A., & Ren, B. (2016) · Cell Research · doi:10.1101/074294 · Cited by 298
Self-citationEvolutionary changes in promoter and enhancer activity during human corticogenesis
Reilly, S. K., Yin, J., Ayoub, A. E., Emera, D., Leng, J., Cotney, J., Sarro, R., Rakic, P., & Noonan, J. P. (2015) · Science · doi:10.1126/science.1260943 · Cited by 297
BRD4 assists elongation of both coding and enhancer RNAs by interacting with acetylated histones
Kanno, T., Kanno, Y., LeRoy, G., Campos, E. I., Sun, H., Brooks, S. R., Vahedi, G., Heightman, T. D., Garcia, B. A., Reinberg, D., et al. (2014) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2912 · Cited by 328
Paradigms of dynamic control of thyroid hormone signaling
Bianco, A. C., Dumitrescu, A., Gereben, B., Ribeiro, M. O., Fonseca, T. L., Fernandes, G. W., & Bocco, B. M. L. C. (2019) · Endocrine Reviews · doi:10.1210/er.2018-00275 · Cited by 293
Transcriptional landscape of repetitive elements in normal and cancer human cells
Criscione, S. W., Zhang, Y., Thompson, W., Sedivy, J. M., & Neretti, N. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-583 · Cited by 325
“We utilized a ChIP-seq dataset for RNA polymerase II (Pol II) conducted in K562 cell-line (Additional file 2: Table S1), and applied the GLM to identify repetitive elements enrichment for Pol-II with respect to input.”
MethodInfluentialDily, F. L., Baù, D., Pohl, A., Vicent, G. P., Serra, F., Soronellas, D., Castellano, G., Wright, R. H. G., Ballaré, C., Filion, G. J. P., et al. (2014) · Genes & Development · doi:10.1101/gad.241422.114 · Cited by 314
“Changes in the levels of expression of genes appeared to be correlated within TADs during cell differentiation (Nora et al. 2012), potentially by topologically constraining enhancer or silencer activity (Symmons et al. 2014).”
BackgroundBlecher‐Gonen, R., Barnett‐Itzhaki, Z., Jaitin, D. A., Amann‐Zalcenstein, D., Lara‐Astiaso, D., & Amit, I. (2013) · Nature Protocols · doi:10.1038/nprot.2013.023 · Cited by 281
Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation
Kubo, N., Ishii, H., Xiong, X., Bianco, S., Meitinger, F., Hu, R., Hocker, J. D., Conte, M., Gorkin, D., Yu, M., et al. (2021) · Nature Structural & Molecular Biology · doi:10.1038/s41594-020-00539-5 · Cited by 289
Self-citationThe histone chaperone CAF-1 safeguards somatic cell identity
Cheloufi, S., Elling, U., Hopfgartner, B., Jung, Y. L., Murn, J., Ninova, M., Hubmann, M., Badeaux, A. I., Ang, C. E., Tenen, D. E., et al. (2015) · Nature · doi:10.1038/nature15749 · Cited by 291
Genome-wide identification and characterization of functional neuronal activity–dependent enhancers
Malik, A. N., Vierbuchen, T., Hemberg, M., Rubin, A. A., Ling, E., Couch, C. H., Stroud, H., Spiegel, I., Farh, K. K., Harmin, D. A., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3808 · Cited by 279
CTCF as a multifunctional protein in genome regulation and gene expression
Kim, S., Yu, N., & Kaang, B. (2015) · Experimental & Molecular Medicine · doi:10.1038/emm.2015.33 · Cited by 310
The pluripotent genome in three dimensions is shaped around pluripotency factors
de Wit, E., Bouwman, B. A. M., Zhu, Y. K., Klous, P., Splinter, E., Verstegen, M. J. A. M., Krijger, P. H. L., Festuccia, N., Nora, E. P., Welling, M., et al. (2013) · Nature · doi:10.1038/nature12420 · Cited by 278
Denholtz, M., Bonora, G., Chronis, C., Splinter, E., de Laat, W., Ernst, J., Pellegrini, M., & Plath, K. (2013) · Cell Stem Cell · doi:10.1016/j.stem.2013.08.013 · Cited by 274
The Mouse Microbiome Is Required for Sex-Specific Diurnal Rhythms of Gene Expression and Metabolism
Weger, B. D., Gobet, C., Yeung, J., Martin, E., Jimenez, S., Betrisey, B., Foata, F., Berger, B., Balvay, A., Foussier, A., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2018.09.023 · Cited by 269
“The upper data tracks (yellow) show POL2, CTCF and chromatin modification marks from the Encode project (Consortium, 2012; Shen et al., 2012).”
BackgroundTissueEnrich: Tissue-specific gene enrichment analysis
Jain, A., & Tuteja, G. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty890 · Cited by 284
Chromatin States in Mouse Sperm Correlate with Embryonic and Adult Regulatory Landscapes
Jung, Y. H., Sauria, M. E. G., Lyu, X., Cheema, M. S., Ausió, J., Taylor, J., & Corces, V. G. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.01.034 · Cited by 299
“Using these criteria, we find 10,240 THSSs that correspond to previously characterized enhancers in embryonic or adult tissues (Figure 3B) (Shen et al., 2012).”
MethodPrinciples of regulatory information conservation between mouse and human
Cheng, Y., Ma, Z., Kim, B., Wu, W.-S., Cayting, P. D., Boyle, A. P., Sundaram, V., Xing, X., Dogan-Artun, N., Li, J., et al. (2014) · Nature · doi:10.1038/nature13985 · Cited by 281
Long noncoding RNAs in development and cancer: potential biomarkers and therapeutic targets
Fatima, R., Akhade, V. S., Pal, D., & Rao, S. M. R. (2015) · Molecular and Cellular Therapies · doi:10.1186/s40591-015-0042-6 · Cited by 269
“Enhancers are critical regulatory elements required for the tight developmental and tissue specific regulation of gene expression and hence it is not surprising that the number of enhancers in mammalian genome far exceeds the number of protein coding genes [57, 58].”
BackgroundNkx2-1 Represses a Latent Gastric Differentiation Program in Lung Adenocarcinoma
Snyder, E. L., Watanabe, H., Magendantz, M., Hoersch, S., Chen, T. A., Wang, D. G., Crowley, D. G., Whittaker, C. A., Meyerson, M. M., Kimura, S., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.02.018 · Cited by 259
“The greatest number of epigenetic changes induced by Nkx2-1 deletion occurred in the H3K4me1 and H3K27ac modifications (Figure 5D and S5D), consistent with reports that these modifications correlate more closely with differentiation state than others (Creyghton et al., 2010; Shen et al., 2012).”
BackgroundWang, A., Yue, F., Li, Y., Xie, R., Harper, T. C., Patel, N. A., Muth, K., Palmer, J., Qiu, Y., Wang, J., et al. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.02.013 · Cited by 274
“Peaks were further filtered as described previously (Shen et al., 2012).”
MethodSelf-citationNeuroD1 reprograms chromatin and transcription factor landscapes to induce the neuronal program
Pataskar, A., Jung, J., Smialowski, P., Noack, F., Calegari, F., Straub, T., & Tiwari, V. K. (2015) · The EMBO Journal · doi:10.15252/embj.201591206 · Cited by 285
“5 brain- or cortex-specific enhancers (Appendix Fig S3B) (Shen et al, 2012).”
MethodGulko, B., Hubisz, M. J., Gronau, I., & Siepel, A. C. (2015) · Nature Genetics · doi:10.1038/ng.3196 · Cited by 276
Genome-wide nucleosome positioning during embryonic stem cell development
Teif, V. B., Vainshtein, Y., Caudron‐Herger, M., Mallm, J., Marth, C., Höfer, T., & Rippe, K. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2419 · Cited by 263
A tiling-deletion-based genetic screen for cis-regulatory element identification in mammalian cells
Diao, Y., Fang, R., Li, B., Meng, Z., Yu, J., Qiu, Y., Lin, K. C., Huang, H., Liu, T., Marina, R. J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4264 · Cited by 259
“In a CREST-seq experiment, a large number of overlapping genomic deletions are first introduced to a genomic locus by CRISPR/Cas9-mediated genome editing using paired sgRNAs 16 (Fig.”
Self-citationANP32E is a histone chaperone that removes H2A.Z from chromatin
Obri, A., Ouararhni, K., Papin, C., Diebold, M.-L., Padmanabhan, K., Marek, M., Stoll, I., Roy, L., Reilly, P. T., Mak, T. W., et al. (2014) · Nature · doi:10.1038/nature12922 · Cited by 295
Long-Range Chromatin Interactions
Dekker, J., & Misteli, T. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a019356 · Cited by 255
“Chromatin looping interactions between genes and their regulatory elements occurs mostly within TADs, which is perhaps not surprising given that chromatin interactions between TADs, in general, are of lower frequency (Sanyal et al. 2012; Shen et al. 2012).”
BackgroundRole of Tet proteins in enhancer activity and telomere elongationPreprint
Lu, F., Liu, Y., Jiang, L., Yamaguchi, S., & Zhang, Y. (2014) · Genes & Development · doi:10.1101/gad.248005.114 · Cited by 278
“…(5hmC) (Tahiliani et al. 2009; Ito et al. 2010), which in turn can be further oxidized to 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC) and then excised by TDG followed by base excision repair to complete the demethylation cycle (He et al. 2011; Ito et al. 2011; Shen et al. 2013).”
BackgroundInfluentialInterferon-γ induces tumor resistance to anti-PD-1 immunotherapy by promoting YAP phase separation
Yu, M., Peng, Z., Qin, M., Liu, Y., Wang, J., Zhang, C., Lin, J., Dong, T., Wang, L., Li, S., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.01.010 · Cited by 250
Distinct roles of the methylcytosine oxidases Tet1 and Tet2 in mouse embryonic stem cells
Huang, Y., Chávez, L., Chang, X., Wang, X., Pastor, W. A., Kang, J., Zepeda-Martínez, J. A., Pape, U. J., Jacobsen, S. E., Peters, B., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1322921111 · Cited by 272
“Indeed, DHMRs that showed gain of 5hmC in Tet2 kd mESC were enriched for Tet1 binding sites (21), which tend to be present at regions of DNase I hypersensitivity that bear histone marks associated with promoters and active enhancers (H3K4me2, H3K4me3 and H3K27Ac) (22) (Fig.”
MethodA statistical approach for inferring the 3D structure of the genome
Varoquaux, N., Ay, F., Noble, W. S., & Vert, J.-P. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu268 · Cited by 246
Enhancer priming by H3K4 methyltransferase MLL4 controls cell fate transition
Wang, C., Lee, J.-E., Lai, B., Macfarlan, T. S., Xu, S., Zhuang, L., Liu, C., Peng, W., & Ge, K. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606857113 · Cited by 242
“By comparing the genomic localization of MLL4 with those of Oct4, Sox2, and Nanog (O/S/N) and the H3K27 acetyltransferase p300 that marks AEs (4, 9), we found that MLL4 colocalized with O/S/N and p300 on AEs (Fig.”
BackgroundEnhancer variants: evaluating functions in common disease
Corradin, O., & Scacheri, P. C. (2014) · Genome Medicine · doi:10.1186/s13073-014-0085-3 · Cited by 241
Smith, R. P., Taher, L., Patwardhan, R. P., Kim, M. J., Inoue, F., Shendure, J., Ovcharenko, I., & Ahituv, N. (2013) · Nature Genetics · doi:10.1038/ng.2713 · Cited by 239
CTCF: the protein, the binding partners, the binding sites and their chromatin loops
Holwerda, S. J. B., & de Laat, W. L. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0369 · Cited by 242
Neuronal activity modifies the chromatin accessibility landscape in the adult brain
Su, Y., Shin, J., Zhong, C., Wang, S. Z., Roychowdhury, P., Lim, J., Kim, D. S., Ming, G., & Song, H. (2017) · Nature Neuroscience · doi:10.1038/nn.4494 · Cited by 241
“…the chromatin state of regions with accessibility changes, we used ChromHMM 36 to establish a chromatin state model defined by recurrent combinations of histone modifications using the ChIP-seq dataset from the adult mouse hippocampus 27 and CTCF ChIP-seq dataset from the adult mouse cortex 28 .”
Active DNA demethylation at enhancers during the vertebrate phylotypic period
Bogdanović, O., Smits, A. H., de la Calle‐Mustienes, E., Tena, J. J., Ford, E., Williams, R. M., Senanayake, U., Schultz, M. D., Hontelez, S., van Kruijsbergen, I., et al. (2016) · Nature Genetics · doi:10.1038/ng.3522 · Cited by 236
The Biology of Cell-free DNA Fragmentation and the Roles of DNASE1, DNASE1L3, and DFFB
Han, D. S. C., Ni, M., Chan, R. W. Y., Chan, V. W., Lui, K. O., Chiu, R. W. K., & Lo, Y. M. D. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.01.008 · Cited by 267
Mazzoni, E. O., Mahony, S., Closser, M., Morrison, C. A., Nedelec, S., Williams, D. J., An, D., Gifford, D. K., & Wichterle, H. (2013) · Nature Neuroscience · doi:10.1038/nn.3467 · Cited by 217
RFECS: A Random-Forest Based Algorithm for Enhancer Identification from Chromatin State
Rajagopal, N., Xie, W., Li, Y., Wagner, U., Wang, W., Stamatoyannopoulos, J. A., Ernst, J., Kellis, M., & Ren, B. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002968 · Cited by 226
Self-citationChromatin Insulators: Linking Genome Organization to Cellular Function
Phillips‐Cremins, J. E., & Corces, V. G. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.04.018 · Cited by 222
“Two recent genome-wide analyses have provided new insights that now prompt us to re-evaluate the role for EB mechanisms in mammalian systems (Sanyal et al., 2012; Shen et al., 2012).”
BackgroundExtensive identification and analysis of conserved small ORFs in animals
Mackowiak, S. D., Zauber, H., Bielow, C., Thiel, D., Kutz, K., Calviello, L., Mastrobuoni, G., Rajewsky, N., Kempa, S., Selbach, M., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0742-x · Cited by 227
“For the expression analysis of sORF-containing transcripts we used RNA-seq data for 16 human tissues (Illumina Body Map), for 19 mouse tissues [103], for eight developmental stages of zebrafish [98], 24 developmental stages for fruit fly from modENCODE, and eight developmental stages in C.”
MethodEnhancer Function: Mechanistic and Genome-Wide Insights Come Together
Plank, J. L., & Dean, A. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.06.015 · Cited by 263
Identification of alternative topological domains in chromatin
Filippova, D., Patro, R., Duggal, G., & Kingsford, C. (2014) · Algorithms for Molecular Biology · doi:10.1186/1748-7188-9-14 · Cited by 224
“For mouse embryonic cell CTCF binding sites and chromatin modification marks, we used data by Shen et al. [19].”
MethodSymmons, O., Pan, L., Remeseiro, S., Aktas, T., Klein, F., Huber, W., & Spitz, F. (2016) · Developmental Cell · doi:10.1016/j.devcel.2016.10.015 · Cited by 222
“ChIP-Seq tracks from CH12 cells (Shen et al., 2012) as well as from embryonic limbs (forelimb – FL, hindlimb HL) indicate CTCF and the cohesin subunit SMC1 (Demare et al., 2013).”
BackgroundBetancur, P. A., Abraham, B. J., Yiu, Y. Y., Willingham, S. B., Khameneh, F., Zarnegar, M. A., Kuo, A. H., McKenna, K. M., Kojima, Y., Leeper, N. J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14802 · Cited by 243
“…Paired-End Tag (ChIA-PET) data 22,23 confirmed that E5 and the downstream CD47 SE in MCF7 are connected by a DNA loop containing RNA Polymerase II, part of the complex of factors that are necessary to initiate transcription and are associated with promoter regions 22,24,25 (Supplementary Fig.”
Identification of active regulatory regions from DNA methylation data
Burger, L., Gaidatzis, D., Schübeler, D., & Stadler, M. B. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt599 · Cited by 230
Bayesian Inference of Spatial Organizations of Chromosomes
Hu, M., Deng, K., Qin, Z. S., Dixon, J. R., Selvaraj, S., Fang, J., Ren, B., & Liu, J. S. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002893 · Cited by 203
Self-citationThe Evolution of Lineage-Specific Regulatory Activities in the Human Embryonic Limb
Cotney, J. L., Leng, J., Yin, J., Reilly, S. K., DeMare, L. E., Emera, D., Ayoub, A. E., RAKIC, P. T., & Noonan, J. P. (2013) · Cell · doi:10.1016/j.cell.2013.05.056 · Cited by 215
Insights into epigenetic patterns in mammalian early embryos
Xu, R., Li, C., Liu, X., & Gao, S. (2021) · Protein & Cell · doi:10.1007/s13238-020-00757-z · Cited by 216
Catarino, R. R., & Stark, A. (2018) · Genes & Development · doi:10.1101/gad.310367.117 · Cited by 215
“…cells (e.g., ENCODE Project Consortium 2012; Muerdter et al. 2018) compared with ∼15,000 expressed genes (Ramsköld et al. 2009), between 200,000 and 300,000 across ∼20 mouse tissues (Shen et al. 2012; Yue et al. 2014), and ∼400,000 across a set of 127 cell lines (ENCODE Project Consortium 2012).”
BackgroundThe long non‐coding RNA Paupar regulates the expression of both local and distal genes
Vance, K. W., Sansom, S. N., Lee, S., Chalei, V., Kong, L., Cooper, S., Oliver, P. L., & Ponting, C. P. (2014) · The EMBO Journal · doi:10.1002/embj.201386225 · Cited by 213
CRISPR Reveals a Distal Super-Enhancer Required for Sox2 Expression in Mouse Embryonic Stem Cells
Li, Y., Rivera, C. M., Ishii, H., Jin, F., Selvaraj, S., Lee, A. Y., Dixon, J. R., & Ren, B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114485 · Cited by 212
Self-citationCoBATCH for High-Throughput Single-Cell Epigenomic Profiling
Wang, Q., Xiong, H., Ai, S., Yu, X., Liu, Y., Zhang, J., & He, A. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.07.015 · Cited by 213
TET-mediated DNA demethylation controls gastrulation by regulating Lefty-Nodal signalling
Dai, H.-Q., Wang, B.-A., Yang, L., Chen, J.-J., Zhu, G.-C., Sun, M.-L., Ge, H., Wang, R., Chapman, D. L., Tang, F., et al. (2016) · Nature · doi:10.1038/nature20095 · Cited by 206
Evolution of transcription factor binding in metazoans — mechanisms and functional implications
Villar, D., Flicek, P., & Odom, D. T. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3481 · Cited by 217
DNA N6-methyladenine is dynamically regulated in the mouse brain following environmental stress
Yao, B., Cheng, Y., Wang, Z., Li, Y., Chen, L., Huang, L., Zhang, W., Chen, D., Wu, H., Tang, B., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01195-y · Cited by 217
Batut, P. J., Dobin, A., Plessy, C., Carninci, P., & Gingeras, T. (2012) · Genome Research · doi:10.1101/gr.139618.112 · Cited by 205
“…started to shed light on the abundance of cis-regulatory modules (Ernst et al. 2011; Negre et al. 2011; The ENCODE Project Consortium et al. 2012; Shen et al. 2012), their relevance to development and disease (Lindblad-Toh et al. 2011; The ENCODE Project Consortium et al. 2012), and the…”
BackgroundBosse, K. R., Raman, P., Zhu, Z., Lane, M. V., Martínez, D., Heitzeneder, S., Rathi, K. S., Kendsersky, N. M., Randall, M. P., Donovan, L., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.08.003 · Cited by 226
“Importantly, the similar mouse and human GPC2 expression profile (Figures 1C and S8F) (Shen et al., 2012), coupled with the equal binding of this ADC to mouse and human GPC2 (Figure 7B), suggests murine models provide a valid assessment of the potential for D3-GPC2-PBD on-target, off-tumor toxicities.”
ResultA common genetic variant within SCN10A modulates cardiac SCN5A expression
van den Boogaard, M., Smemo, S., Burnicka-Turek, O., Arnolds, D. E., van de Werken, H. J. G., Klous, P., McKean, D. M., Muehlschlegel, J. D., Moosmann, J., Toka, O., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci73140 · Cited by 192
“We aligned 4C-seq with cardiac ChIP-seq data for TBX3 (21) as well as for Pol2 and p300 (27–29) to visualize interactions for EnhA and EnhB (Figure 1C).”
MethodTaylor, G. C. A., Eskeland, R., Hekimoglu-Balkan, B., Pradeepa, M. M., & Bickmore, W. A. (2013) · Genome Research · doi:10.1101/gr.155028.113 · Cited by 203
“Gene histone mark average profiles were generated using custom perl scripts and the coverageBed utility of the BEDTools suite, and normalized to RPM/bp. H4K16ac peak localization throughout the genome was analyzed using the CEAS suite (Shin et al. 2009).”
MethodGenetic Approaches to Neural Circuits in the Mouse
Josh Huang, Z., & Zeng, H. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170307 · Cited by 200
An Overview of Genome Organization and How We Got There: from FISH to Hi-C
Fraser, J., Williamson, I., Bickmore, W. A., & Dostie, J. (2015) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00006-15 · Cited by 232
“This model is supported by the fact that partitioning of the genome into TADs correlates with enhancer-promoter units, clusters of coregulated promoters and enhancers (179, 311).”
MethodChromatin as dynamic 10-nm fibers
Maeshima, K., Imai, R., Tamura, S., & Nozaki, T. (2014) · Chromosoma · doi:10.1007/s00412-014-0460-2 · Cited by 218
Spatially resolved epigenomic profiling of single cells in complex tissues
Lu, T., Ang, C. E., & Zhuang, X. (2022) · Cell · doi:10.1016/j.cell.2022.09.035 · Cited by 197
Jia, G., Preussner, J., Chen, X. X., Günther, S., Yuan, X., Yekelchyk, M., Kuenne, C. T., Looso, M., Zhou, Y., Teichmann, S. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07307-6 · Cited by 219
CoBATCH for high-throughput single-cell epigenomic profilingPreprint
Wang, Q., Xiong, H., Ai, S.-S., Yu, X.-H., Liu, Y., Zhang, J., & He, A. (2019) · bioRxiv · doi:10.1101/590661 · Cited by 194
Epigenetic landscapes reveal transcription factors that regulate CD8+ T cell differentiation
Yu, B., Zhang, K., Milner, J. J., Toma, C., Chen, R., Scott-Browne, J. P., Pereira, R. M., Crotty, S., Chang, J. T., Pipkin, M. E., et al. (2017) · Nature Immunology · doi:10.1038/ni.3706 · Cited by 248
A Sox2 distal enhancer cluster regulates embryonic stem cell differentiation potential
Zhou, H. Y., Katsman, Y., Dhaliwal, N. K., Davidson, S., Macpherson, N. N., Sakthidevi, M., Collura, F., & Mitchell, J. A. (2014) · Genes & Development · doi:10.1101/gad.248526.114 · Cited by 192
“In addition, the insulator-binding protein CCCTC-binding factor (CTCF), a protein involved in anchoring chromatin–chromatin interactions, is bound within both the distal region and the promoter-proximal region (Phillips and Corces 2009; Shen et al. 2012).”
Liu, X., Xu, J., Rosenthal, S., Zhang, L., McCubbin, R., Meshgin, N., Shang, L., Koyama, Y., Ma, H., Sharma, S., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.01.027 · Cited by 208
Dynamic epigenomic landscapes during early lineage specification in mouse embryos
Zhang, Y., Xiang, Y., Yin, Q., Du, Z., Xu, P., Wang, Q., Fidalgo, M., Xia, W., Li, Y., Zhao, Z., et al. (2017) · Nature Genetics · doi:10.1038/s41588-017-0003-x · Cited by 217
Evaluating Enhancer Function and Transcription
Field, A. R., & Adelman, K. (2020) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-011420-095916 · Cited by 227
“Notably, many genes appear to be influenced by multiple discrete enhancer loci (15, 16).”
BackgroundChromatin organization and transcriptional regulation
Hübner, M. R., Eckersley-Maslin, M. A., & Spector, D. L. (2012) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2012.11.006 · Cited by 186
PU.1 controls fibroblast polarization and tissue fibrosis
Wohlfahrt, T., Rauber, S., Uebe, S., Luber, M., Soare, A., Ekici, A., Weber, S., Matei, A.-E., Chen, C.-W., Maier, C., et al. (2019) · Nature · doi:10.1038/s41586-019-0896-x · Cited by 187
“For region of interest (ROI)-based ChIP-seq peak and RNA-seq overlap analysis, ROI were defined as 225kb upstream and downstream of differentially expressed genes 65 .”
Dynamics of 5-hydroxymethylcytosine during mouse spermatogenesis
Gan, H., Wen, L., Liao, S., Lin, X., Ma, T., Liu, J., Song, C., Wang, M., He, C., Han, C., et al. (2013) · Nature Communications · doi:10.1038/ncomms2995 · Cited by 203
An atlas of gene regulatory elements in adult mouse cerebrum
Li, Y. E., Preissl, S., Hou, X., Zhang, Z., Zhang, K., Qiu, Y., Poirion, O. B., Li, B., Chiou, J., Liu, H., et al. (2021) · Nature · doi:10.1038/s41586-021-03604-1 · Cited by 185
Self-citationEnhancing Hi-C data resolution with deep convolutional neural network HiCPlus
Zhang, Y., An, L., Xu, J., Zhang, B., Zheng, W. J., Hu, M., Tang, J., & Yue, F. (2018) · Nature Communications · doi:10.1038/s41467-018-03113-2 · Cited by 189
Self-citationGlobal discovery of erythroid long noncoding RNAs reveals novel regulators of red cell maturation
Alvarez‐Dominguez, J. R., Hu, W., Yuan, B., Shi, J., Park, S. S., Gromatzky, A. A., van Oudenaarden, A., & Lodish, H. F. (2013) · Blood · doi:10.1182/blood-2013-10-530683 · Cited by 189
“To classify the repertoire of fetal liver lncRNAs, we examined their overlap with annotated genes 18-20 or enhancers 21 (Figure 1C) and systematically assigned them to lncRNA classes (supplemental Figure 1D; supplemental Methods).”
High-throughput genome scaffolding from in vivo DNA interaction frequency
Kaplan, N., & Dekker, J. (2013) · Nature Biotechnology · doi:10.1038/nbt.2768 · Cited by 177
Histone propionylation is a mark of active chromatin
Kebede, A. F., Nieborak, A., Shahidian, L. Z., Gras, S. L., Richter, F. M., Aguilar‐Gómez, D., Baltissen, M. P. A., Mészáros, G., Magliarelli, H. D. F., Taudt, A., et al. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3490 · Cited by 215
Yang, Y. J., Baltus, A. E., Mathew, R. S., Murphy, E. A., Evrony, G. D., Gonzalez, D. M., Wang, E. P., Marshall-Walker, C. A., Barry, B. J., Murn, J., et al. (2012) · Cell · doi:10.1016/j.cell.2012.10.043 · Cited by 176
“C ZNF335 interacts with a methyltransferase complex, we looked at the methylation patterns of these ZNF335-bound promoters (Shen et al., 2012), and the peaks of ZNF335 binding overlapped with the H3K4 trimethylation (H3K4me3) peaks (Figure S5A).”
BackgroundSpatially resolved epigenomic profiling of single cells in complex tissuesPreprint
Lu, T., Ang, C., & Zhuang, X.-W. (2022) · bioRxiv · doi:10.1101/2022.02.17.480825 · Cited by 176
“…been identified in both embryonic and adult brains (Gorkin et al., 2020; Gray et al., 2017; Graybuck et al., 2021; Mo et al., 2015; Preissl et al., 2018; Shen et al., 2012; Visel et al., 2009, 2013; Yue et al., 2014), but the detailed spatial distributions remain unclear for most of these elements.”
How to rule the nucleus: divide et impera
Solovei, I. V., Thanisch, K., & Feodorova, Y. N. (2016) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2016.02.014 · Cited by 198
Dissecting the dynamic changes of 5-hydroxymethylcytosine in T-cell development and differentiation
Tsagaratou, A., Äijö, T., Lio, C. J., Yue, X., Huang, Y., Jacobsen, S. E., Lähdesmäki, H. J., & Rao, A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1412327111 · Cited by 186
“5 kb of the reported enhancer center positions (35).”
BackgroundEvolutionary conservation of the eumetazoan gene regulatory landscapePreprint
Schwaiger, M., Schönauer, A., Rendeiro, A. F., Pribitzer, C., Schauer, A., Gilles, A. F., Schinko, J. B., Renfer, E., Fredman, D., & Technau, U. (2014) · Genome Research · doi:10.1101/gr.162529.113 · Cited by 191
“…catalyzes the acetylation of histones, the transcriptional cofactor EP300 (also known as p300), has been shown to bind to enhancers, and has recently been used in several studies to predict enhancer elements genome wide (Visel et al. 2009b; May et al. 2011; Nègre et al. 2011; Shen et al. 2012).”
BackgroundInfluentialUniform, optimal signal processing of mapped deep-sequencing data
Kumar, V., Muratani, M., Rayan, N. A., Kraus, P., Lufkin, T., Ng, H., & Prabhakar, S. (2013) · Nature Biotechnology · doi:10.1038/nbt.2596 · Cited by 161
A comparative atlas of single-cell chromatin accessibility in the human brain
Li, Y. E., Preissl, S., Miller, M., Johnson, N. D., Wang, Z., Jiao, H., Zhu, C., Wang, Z., Xie, Y., Poirion, O., et al. (2023) · Science · doi:10.1126/science.adf7044 · Cited by 173
“Current catalogs of candidate regulatory sequences in the human genome, most notably those generated by the ENCODE andEpigenomeRoadmap consortia (6, 7, 18, 19), still lack the information about cell-type–specific activities of each element, especially those identified from brain tissues, because conventional assays pe…”
BackgroundSelf-citationSong, M., Yang, X., Ren, X., Maliskova, L., Li, B., Jones, I. R., Wang, C., Jacob, F., Wu, K., Traglia, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0472-1 · Cited by 167
“2a), consistent with the large number of regulatory elements in the human genome 22 and previous findings that promoters can be regulated by multiple enhancers 23 .”
Self-citationIn search of the determinants of enhancer–promoter interaction specificity
van Arensbergen, J., van Steensel, B., & Bussemaker, H. J. (2014) · Trends in Cell Biology · doi:10.1016/j.tcb.2014.07.004 · Cited by 180
“In an alternative, but conceptually similar approach, yielding similar conclusions, the chromatin state of enhancers was correlated with that of promoters in order to identify functional enhancer–promoter pairs [29].”
ResultSegmental folding of chromosomes: A basis for structural and regulatory chromosomal neighborhoods?
Nora, E. P., Dekker, J., & Heard, É. (2013) · BioEssays · doi:10.1002/bies.201300040 · Cited by 187
Modeling gene regulation from paired expression and chromatin accessibility data
Duren, Z., Chen, X., Jiang, R., Wang, Y., & Wong, W. (2017) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1704553114 · Cited by 171
Locus-Specific Targeting to the X Chromosome Revealed by the RNA Interactome of CTCF
Kung, J. T., Kesner, B., An, J. Y., Ahn, J. Y., Cifuentes‐Rojas, C., Colognori, D., Jeon, Y., Szántó, A., Rosario, B. C. D., Pinter, S. F., et al. (2015) · Molecular Cell · doi:10.1016/j.molcel.2014.12.006 · Cited by 180
Marques, A. C., Hughes, J. R., Graham, B., Kowalczyk, M. S., Higgs, D. R., & Ponting, C. P. (2013) · Genome biology · doi:10.1186/gb-2013-14-11-r131 · Cited by 178
“A relatively high level of H3K4me1- over H3K4me3modified chromatin is a well-established property of enhancers [20,34,35] that has been extensively used to generate genome-wide catalogues of enhancer- or promoterlike regulatory elements [36].”
Background
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
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