The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Chromatin architecture reorganization during stem cell differentiation
Open accessAbstract
Higher-order chromatin structure is emerging as an important regulator of gene expression. Although dynamic chromatin structures have been identified in the genome, the full scope of chromatin dynamics during mammalian development and lineage specification remains to be determined. By mapping genome-wide chromatin interactions in human embryonic stem (ES) cells and four human ES-cell-derived lineages, we uncover extensive chromatin reorganization during lineage specification. We observe that although self-associating chromatin domains are stable during differentiation, chromatin interactions both within and between domains change in a striking manner, altering 36% of active and inactive chromosomal compartments throughout the genome. By integrating chromatin interaction maps with haplotype-resolved epigenome and transcriptome data sets, we find widespread allelic bias in gene expression correlated with allele-biased chromatin states of linked promoters and distal enhancers. Our results therefore provide a global view of chromatin dynamics and a resource for studying long-range control of gene expression in distinct human cell lineages. An analysis of genome-wide chromatin interactions during human embryonic stem cell differentiation reveals changes in chromatic organization and simultaneously identifies allele-resolved chromatin structure and differences in gene expression during differentiation. Higher-order chromatin structures are among the factors influencing gene expression, although how these structures evolve during differentiation and lineage specification in mammalian systems is still unclear. Bing Ren and colleagues have mapped the differences in genome-wide chromatin interactions between human embryonic stem cells and their differentiated progeny. They delineate biases in allelic gene expression that correlate with allele-biased chromatin interactions between distal enhancers and proximal promoters.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“While standard Hi-C cannot discriminate whether an interacting fragment originated from the same or the other allele, allele-specific interaction maps can separate cis-allele from trans-allele interactions, thereby greatly improving the analysis of chromatin dynamics and gene regulation 20, 21.”
From SNPsplit: Allele-specific splitting of alignments between genomes with known SNP genotypes (2016) · cites this paper as [20]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The classic model is that enhancers recruit cell- and condition-specific TFs and then loop in 3D space to interact with their target promoter90.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [90]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In mammalian differentiation models, in contrast, extensive remodelling of enhancer–promoter contacts is typically observed consistently with enhancer activation [141, 394–397].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [397]
Experimental — accuracy not yet measuredIn the citing paper
“These methods have been used to decipher pathological evolution in tumors11,15,195–197 and somatic mosaicism198 in healthy tissues and in non-cancerous disease199–203.”
From Revealing the vectors of cellular identity with single-cell genomics (2016) · cites this paper as [195]
In the citing paper
“Fundamentally different chromosome topologies have so far primarily been observed when comparing different developmental lineages (Dixon et al., 2015, Krijger et al., 2016).”
From The cohesin release factor WAPL restricts chromatin loop extension (2017) · cites this paper as Dixon et al., 2015
In the citing paper
“which are functionally related to gene expression and can switch extensively during differentiation (Dixon et al., 2015).”
From Multiscale 3D Genome Rewiring during Mouse Neural Development (2017) · cites this paper as Dixon et al., 2015
In the citing paper
“The deposition of chromatin marks is thought to contribute to this process (Dixon et al., 2015, Nora et al., 2012)”
From Multiscale 3D Genome Rewiring during Mouse Neural Development (2017) · cites this paper as Dixon et al., 2015
In the citing paper
“we observed a similar increase in insulation around SOX11 (Figure S3M).”
From Multiscale 3D Genome Rewiring during Mouse Neural Development (2017) · cites this paper as Dixon et al., 2015
In the citing paper
“These TADs, which have similar boundaries in all human cell types examined, have been proposed to constrain enhancer-gene interactions because most DNA contacts occur within the TADs (Dixon et al., 2015; Dixon et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2015
In the citing paper
“These TADs, which have similar boundaries in all human cell types examined, have been proposed to constrain enhancer-gene interactions because most DNA contacts occur within the TADs (Dixon et al., 2015; Dixon et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2015
In the citing paper
“the striking similarity of TAD boundaries across cell types (Dixon et al., 2015; Dixon et al., 2012)”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2015
In the citing paper
“Studies on TADs have estimated that most TAD boundaries are shared by any two cell types (Dixon et al., 2015; Dixon et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2015
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
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,457
A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping
Rao, S. S. P., Huntley, M. H., Durand, N. C., Stamenova, E. K., Bochkov, I. D., Robinson, J. T., Sanborn, A. L., Machol, I., Omer, A. D., Lander, E. S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.021 · Cited by 9,212
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
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-citationSystematic Localization of Common Disease-Associated Variation in Regulatory DNA
Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716
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-citationSpatial partitioning of the regulatory landscape of the X-inactivation centre
Nora, E. P., Lajoie, B. R., Schulz, E. G., Giorgetti, L., Okamoto, I., Servant, N., Piolot, T., van Berkum, N. L., Meisig, J., Sedat, J., et al. (2012) · Nature · doi:10.1038/nature11049 · Cited by 2,895
The accessible chromatin landscape of the human genome
Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., et al. (2012) · Nature · doi:10.1038/nature11232 · Cited by 2,679
Histone modifications at human enhancers reflect global cell-type-specific gene expression
Heintzman, N. D., Hon, G. C., Hawkins, R. D., Kheradpour, P., Stark, A., Harp, L. F., Ye, Z., Lee, L. K., Stuart, R. K., Ching, C. W., et al. (2009) · Nature · doi:10.1038/nature07829 · Cited by 2,533
Self-citationThree-dimensional folding and functional organization principles of the Drosophila genome
Sexton, T., Yaffe, E., Kenigsberg, E., Bantignies, F., Leblanc, B., Hoichman, M., Parrinello, H., Tanay, A., & Cavalli, G. (2012) · Cell · doi:10.1016/j.cell.2012.01.010 · Cited by 1,983
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 999
Comparative 3D genome architecture in vertebrates
Li, D., He, M., Tang, Q., Tian, S., Zhang, J., Li, Y., Wang, D., Jin, L. G., Ning, C., Zhu, W., et al. (2022) · BMC Biology · doi:10.1186/s12915-022-01301-7 · Cited by 61
Gene regulation on extrachromosomal DNA
Hung, K. L., Mischel, P. S., & Chang, H. Y. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00806-7 · Cited by 56
Bouvy‐Liivrand, M., de Sande, A. H., Pölönen, P., Mehtonen, J., Vuorenmaa, T., Niskanen, H., Sinkkonen, L., Kaikkonen, M. U., & Heinäniemi, M. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx680 · Cited by 54
ATP, Mg2+, Nuclear Phase Separation, and Genome Accessibility
Wright, R. H. G., Dily, F. L., & Beato, M. (2019) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2019.03.001 · Cited by 54
Nyaga, D. M., Vickers, M. H., Jefferies, C., Perry, J. K., & O'Sullivan, J. M. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00535 · Cited by 55
A positively selected FBN1 missense variant reduces height in Peruvian individuals
Asgari, S., Luo, Y., Akbari, A., Belbin, G. M., Li, X., Harris, D., Selig, M. K., Bartell, E., Calderon, R. I., Slowikowski, K., et al. (2020) · Nature · doi:10.1038/s41586-020-2302-0 · Cited by 60
Amat, R., Böttcher, R., Dily, F. L., Vidal, E., Quilez, J., Cuartero, Y., Beato, M., de Nadal, E., & Posas, F. (2018) · Genome Research · doi:10.1101/gr.238527.118 · Cited by 58
Three-dimensional organization and dynamics of the genome
Szałaj, P., & Plewczyński, D. (2018) · Cell Biology and Toxicology · doi:10.1007/s10565-018-9428-y · Cited by 59
Yang, L., Chen, F., Zhu, H.-C., Chen, Y., Dong, B., Shi, M.-L., Wang, W., Jiang, Q., Zhang, L.-P., Huang, X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24044-5 · Cited by 44
Challenges and guidelines toward 4D nucleome data and model standards
Martí-Renom, M. A., Almouzni, G., Bickmore, W. A., Bystricky, K., Cavalli, G., Fraser, P., Gasser, S. M., Giorgetti, L., Heard, É., Nicodemi, M., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0236-3 · Cited by 53
Rhie, S., Schreiner, S., Witt, H., Armoskus, C., Lay, F. D., Camarena, A., Spitsyna, V. N., Guo, Y., Berman, B. P., Evgrafov, O., et al. (2018) · Science Advances · doi:10.1126/sciadv.aav8550 · Cited by 50
Higashijima, Y., Matsui, Y., Shimamura, T., Nakaki, R., Nagai, N., Tsutsumi, S., Abe, Y., Link, V. M., Osaka, M., Yoshida, M., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019103949 · Cited by 56
Chung, J., Das, A., Sun, X., Sobreira, D. R., Leung, Y. Y., Igartua, C., Mozaffari, S. V., Chou, Y., Thiagalingam, S., Mez, J., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12719 · Cited by 51
Keller, A., Dziedzicka, D., Zambelli, F., Markouli, C., Sermon, K., Spits, C., & Geens, M. (2017) · Human Reproduction Update · doi:10.1093/humupd/dmx042 · Cited by 51
Regulation of Chromatin Structure During Neural Development
Kishi, Y., & Gotoh, Y. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00874 · Cited by 51
Selfish: discovery of differential chromatin interactions via a self-similarity measure
Ardakany, A. R., Ay, F., & Lonardi, S. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz362 · Cited by 52
EWS-FLI1 regulates and cooperates with core regulatory circuitry in Ewing sarcoma
Shi, X., Zheng, Y., Jiang, L., Zhou, B. O., Yang, W., Li, L., Ding, L., Huang, M., Gery, S., Lin, D., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa901 · Cited by 54
3D chromatin architecture and epigenetic regulation in cancer stem cells
Feng, Y., Liu, X., & Pauklin, S. (2021) · Protein & Cell · doi:10.1007/s13238-020-00819-2 · Cited by 55
Zhong, J., Niu, L., Lin, Z., Bai, X., Chen, Y., Luo, F., Hou, C., & Xiao, C. (2023) · Nature Communications · doi:10.1038/s41467-023-36899-x · Cited by 58
Murphy, D., Salataj, E., Giammartino, D. C. D., Rodriguez-Hernaez, J., Kloetgen, A., Garg, V., Char, E., Uyehara, C. M., Ee, L.-S., Lee, U., et al. (2023) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-01130-4 · Cited by 51
Kolovos, P., Georgomanolis, T., Köferle, A., Larkin, J. D., Brant, L., Nikolicć, M., Gusmao, E. G., Zirkel, A., Knoch, T., van Ijcken, W. F., et al. (2016) · Genome Research · doi:10.1101/gr.210005.116 · Cited by 54
Franke, M., Daly, A., Palmeira, L., Tirosh, A., Stigliano, A., Trifan, E., Faucz, F. R., Abboud, D., Pétrossians, P., Tena, J. J., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.02.002 · Cited by 50
Madrigal, P., Deng, S., Feng, Y., Militi, S., Goh, K. J., Nibhani, R., Grandy, R. A., Osnato, A., Ortmann, D., Brown, S. E., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36116-9 · Cited by 48
Burris, T. P., de Vera, I. M. S., Côté, I., Flaveny, C. A., Wanninayake, U. S., Chatterjee, A., Walker, J. K., Steinauer, N., Zhang, J., Coons, L. A., et al. (2023) · Pharmacological Reviews · doi:10.1124/pharmrev.121.000436 · Cited by 54
Exploring chromatin organization mechanisms through its dynamic properties
Bronshtein, I., Kanter, I., Kepten, E., Lindner, M., Berezin, S., Shav‐Tal, Y., & Garini, Y. (2016) · Nucleus · doi:10.1080/19491034.2016.1139272 · Cited by 50
Multi-scale chromatin state annotation using a hierarchical hidden Markov model
Marco, E., Meuleman, W. R. A., Huang, J., Glass, K., Pinello, L., Wang, J., Kellis, M., & Yuan, G. (2017) · Nature Communications · doi:10.1038/ncomms15011 · Cited by 48
Computational characterization of chromatin domain boundary-associated genomic elements
Hong, S. P., & Kim, D. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx738 · Cited by 52
Bortle, K. V., Phanstiel, D. H., & Snyder, M. P. (2017) · Genome biology · doi:10.1186/s13059-017-1310-3 · Cited by 53
HiCDB: a sensitive and robust method for detecting contact domain boundaries
Chen, F., Li, G., Zhang, M. Q., & Chen, Y. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky789 · Cited by 45
Singh, S. A., Lerdrup, M., Gomes, A.-L. R., van de Werken, H. J. G., Johansen, J. V., Andersson, R., Sandelin, A., Helin, K., & Hansen, K. H. (2019) · eLife · doi:10.7554/elife.40364 · Cited by 50
Stefano, M. D., Nützmann, H., Martı́-Renom, M. A., & Jost, D. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1275 · Cited by 48
Pei, L., Huang, X., Liu, Z., Tian, X., You, J., Li, J., Fang, D. D., Lindsey, K., Zhu, L., Zhang, X., et al. (2022) · Genome biology · doi:10.1186/s13059-022-02616-y · Cited by 50
From single genes to entire genomes: the search for a function of nuclear organization
Pueschel, R., Coraggio, F., & Meister, P. (2016) · Development · doi:10.1242/dev.129007 · Cited by 52
The long-range interaction map of ribosomal DNA arrays
Yu, S., & Lemos, B. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007258 · Cited by 53
Genome-Wide Association Studies in Glioma
Kinnersley, B., Houlston, R. S., & Bondy, M. L. (2018) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-17-1080 · Cited by 48
Alteration of genome folding via contact domain boundary insertion
Zhang, D., Huang, P., Sharma, M., Keller, C. A., Giardine, B. M., Zhang, H., Gilgenast, T. G., Phillips‐Cremins, J. E., Hardison, R. C., & Blobel, G. A. (2020) · Nature Genetics · doi:10.1038/s41588-020-0680-8 · Cited by 48
Proneural Genes Define Ground State Rules to Regulate Neurogenic Patterning and Cortical Folding
Han, S., Okawa, S., Wilkinson, G., Ghazale, H., Adnani, L., Dixit, R., Tavares, L., Faisal, I., Brooks, M. J., Cortay, V., et al. (2020) · Neuron · doi:10.1016/j.neuron.2021.07.007 · Cited by 50
The role of insulators and transcription in 3D chromatin organization of fliesPreprint
Chathoth, K. T., Mikheeva, L. A., Crevel, G., Wolfe, J. C., Hunter, I., Beckett-Doyle, S., Cotterill, S., Dai, H., Harrison, A., & Zabet, N. R. (2022) · Genome Research · doi:10.1101/gr.275809.121 · Cited by 46
Super-enhancers: Asset management in immune cell genomes
Witte, S. J., O’Shea, J. J., & Vahedi, G. (2015) · Trends in Immunology · doi:10.1016/j.it.2015.07.005 · Cited by 46
Greenwald, W. W., Li, H., Smith, E. N., Benaglio, P., Nariai, N., & Frazer, K. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1621-0 · Cited by 45
Computational Prediction of Position Effects of Apparently Balanced Human Chromosomal Rearrangements
Zepeda‐Mendoza, C. J., Ibn-Salem, J., Kammin, T., Harris, D. J., Rita, D., Gripp, K. W., MacKenzie, J. J., Gropman, A. L., Graham, B. H., Shaheen, R., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.011 · Cited by 48
Sinnott-Armstrong, N., Sousa, I. S., Laber, S., Rendina-Ruedy, E., Dankel, S. N., Ferreira, T. C., Mellgren, G., Karasik, D., Rivas, M. A., Pritchard, J. K., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.01.001 · Cited by 55
Non-Random Genome Editing and Natural Cellular Engineering in Cognition-Based Evolution
Miller, W. B., Enguita, F. J., & Leitão, A. L. (2021) · Cells · doi:10.3390/cells10051125 · Cited by 48
Comparative characterization of 3D chromatin organization in triple-negative breast cancers
Kim, T., Han, S., Chun, Y., Yang, H.-J., Min, H., Jeon, S. Y., Kim, J., Moon, H., & Lee, D. (2022) · Experimental & Molecular Medicine · doi:10.1038/s12276-022-00768-2 · Cited by 49
Tam, P. L. F., Cheung, M. F., Chan, L. Y., & Leung, D. (2024) · Nature Communications · doi:10.1038/s41467-023-44578-0 · Cited by 50
Nuclear organization and 3D chromatin architecture in cognition and neuropsychiatric disorders
Medrano-Fernández, A., & Barco, Á. (2016) · Molecular Brain · doi:10.1186/s13041-016-0263-x · Cited by 51
Poterlowicz, K., Yarker, J. L., Malashchuk, I., Lajoie, B. R., Mardaryev, A. N., Gdula, M. R., Sharov, A. A., Kohwi-shigematsu, T., Botchkarev, V. A., & Fessing, M. Y. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006966 · Cited by 48
Qi, Q., Li, C., Tang, X., He, Y., Li, Y., Yee, T., Shrestha, D., Feng, R., Xu, P., Zhou, X., et al. (2020) · Blood · doi:10.1182/blood.2020005780 · Cited by 44
Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine
Arslan, E., Schulz, J., & Rai, K. (2021) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2021.188588 · Cited by 50
Making sense of the linear genome, gene function and TADs
Long, H., Greenaway, S., Powell, G., Mallon, A., Lindgren, C. M., & Simon, M. M. (2022) · Epigenetics & Chromatin · doi:10.1186/s13072-022-00436-9 · Cited by 52
Random allelic expression in the adult human body
Kravitz, S. N., Ferris, E., Love, M. I., Thomas, A., Quinlan, A. R., & Gregg, C. J. (2023) · Cell Reports · doi:10.1016/j.celrep.2022.111945 · Cited by 46
Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data
Rosenthal, M., Bryner, D., Huffer, F., Evans, S. A., Srivastava, A., & Neretti, N. (2019) · Journal of Computational Biology · doi:10.1089/cmb.2019.0100 · Cited by 49
Cell Type-Specific Intralocus Interactions Reveal Oligodendrocyte Mechanisms in MS
Factor, D. C., Barbeau, A. M., Allan, K. C., Hu, L. R., Madhavan, M., Hoang, A. T., Hazel, K. E. A., Hall, P. A., Nisraiyya, S., Najm, F. J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.03.002 · Cited by 48
Zhang, N., Mendieta-Esteban, J., Magli, A., Lilja, K. C., Perlingeiro, R. C. R., Martı́-Renom, M. A., Tsirigos, A., & Dynlacht, B. D. (2020) · Nature Communications · doi:10.1038/s41467-020-19999-w · Cited by 49
Allelic Imbalance Is a Prevalent and Tissue-Specific Feature of the Mouse Transcriptome
Pinter, S. F., Colognori, D., Beliveau, B. J., Sadreyev, R. I., Payer, B., Yildirim, E., Wu, C.-T., & Lee, J. T. (2015) · Genetics · doi:10.1534/genetics.115.176263 · Cited by 47
The nuclear periphery is a scaffold for tissue-specific enhancers
Smith, C. L., Poleshko, A., & Epstein, J. A. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab392 · Cited by 44
Widespread Chromatin Accessibility at Repetitive Elements Links Stem Cells with Human Cancer
Gomez, N. C., Hepperla, A. J., Dumitru, R., Simon, J. M., Fang, F., & Davis, I. J. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.10.011 · Cited by 41
Impact of the gut microbiota on enhancer accessibility in gut intraepithelial lymphocytes
Semenkovich, N. P., Planer, J. D., Ahern, P. P., Griffin, N. W., Lin, C. Y., & Gordon, J. I. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617793113 · Cited by 45
Regulatory role of cathepsin L in induction of nuclear laminopathy in Alzheimer’s disease
Islam, M. R., Nagakannan, P., Shcholok, T., Contu, F., Mai, S., Albensi, B. C., Bigio, M. R. D., Wang, J., Sharoar, M. G., Yan, R., et al. (2021) · Aging Cell · doi:10.1111/acel.13531 · Cited by 43
Disruption of the 3D Cancer Genome Blueprint
Achinger-Kawecka, J., & Clark, S. J. (2016) · Epigenomics · doi:10.2217/epi-2016-0111 · Cited by 45
Mah, W., & Won, H. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2019.03.007 · Cited by 38
Dynamic 3D Chromatin Reorganization during Establishment and Maintenance of Pluripotency
Pelham‐Webb, B., Murphy, D., & Apostolou, E. (2020) · Stem Cell Reports · doi:10.1016/j.stemcr.2020.10.012 · Cited by 45
The role of 3D genome organization in disease: From compartments to single nucleotides
Chakraborty, A., & Ay, F. (2018) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2018.07.005 · Cited by 39
Peñalosa-Ruiz, G., Bright, A. R., Mulder, K. W., & Veenstra, G. J. C. (2019) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2019.194407 · Cited by 42
Mesoscale Liquid Model of Chromatin Recapitulates Nuclear Order of Eukaryotes
Laghmach, R., Pierro, M. D., & Potoyan, D. A. (2019) · Biophysical Journal · doi:10.1016/j.bpj.2019.09.013 · Cited by 39
Pettinato, G., Coughlan, M. F., Zhang, X., Chen, L., Khan, U., Glyavina, M., Sheil, C. J., Upputuri, P. K., Zakharov, Y. N., Vitkin, E. I., et al. (2021) · Science Advances · doi:10.1126/sciadv.abj2800 · Cited by 44
Pikkupeura, L. M., Bressan, R. B., Guiu, J., Chen, Y., Maimets, M., Mayer, D., Schweiger, P. J., Hansen, S. L., Maciag, G. J., Larsen, H. L., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf9460 · Cited by 45
Three-dimensional chromatin reorganization regulates B cell development during ageing
Ma, F., Cao, Y., Du, H., Braikia, F.-Z., Zong, L., Ollikainen, N., Bayer, M., Qiu, X., Park, B., Roy, R., et al. (2024) · Nature Cell Biology · doi:10.1038/s41556-024-01424-9 · Cited by 47
van Ingen, G., Li, J., Goedegebure, A., Pandey, R., Li, Y. R., March, M., Jaddoe, V. W. V., Bakay, M. A., Mentch, F. D., Thomas, K., et al. (2016) · Nature Communications · doi:10.1038/ncomms12792 · Cited by 47
Decoding the role of regulatory element polymorphisms in complex disease
Vockley, C. M., Barrera, A., & Reddy, T. E. (2016) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.10.007 · Cited by 43
Mechanism of Long-Range Chromosome Motion Triggered by Gene Activation
Wang, A., Kolhe, J. A., Gioacchini, N., Baade, I., Brieher, W. M., Peterson, C. L., & Freeman, B. (2020) · Developmental Cell · doi:10.1016/j.devcel.2019.12.007 · Cited by 45
Su, C., Argenziano, M., Lu, S., Pippin, J. A., Pahl, M. C., Leonard, M. E., Cousminer, D. L., Johnson, M. E., Lasconi, C., Wells, A. D., et al. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102000 · Cited by 41
Guiblet, W. M., DeGiorgio, M., Cheng, X., Chiaromonte, F., Eckert, K. A., Huang, Y.-F., & Makova, K. D. (2021) · Genome Research · doi:10.1101/gr.269589.120 · Cited by 43
Beyes, S., Bediaga, N. G., & Zippo, A. (2021) · Cancers · doi:10.3390/cancers13194969 · Cited by 44
Choi, K., Quan, M. D., Qi, C., Lee, J.-H., Tsoi, P. S., Zahabiyon, M., Bajić, A., Hu, L., Prasad, B. V. V., Liao, S.-C. J., et al. (2022) · Nature Cell Biology · doi:10.1038/s41556-022-00896-x · Cited by 43
Sanalkumar, R., Dong, R., Lee, L., Xing, Y., Iyer, S., Letovanec, I., Rosa, S. L., Finzi, G., Musolino, E., Papait, R., et al. (2023) · Science Advances · doi:10.1126/sciadv.abo3789 · Cited by 45
Kou, I., Watanabe, K., Takahashi, Y., Momozawa, Y., Khanshour, A. M., Grauers, A., Zhou, H., Liu, G., Fan, Y., Takeda, K., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29011-7 · Cited by 42
Barajas-Mora, E. M., Kleiman, E., Xu, J., Carrico, N. C., Lu, H., Oltz, E. M., Murre, C., & Feeney, A. J. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.10.013 · Cited by 46
Tumor suppressor SMARCB1 suppresses super-enhancers to govern hESC lineage determination
Langer, L., Ward, J. M., & Archer, T. (2019) · eLife · doi:10.7554/elife.45672 · Cited by 42
3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome
Kim, K., Jang, I., Kim, M., Choi, J., Kim, M.-S., Lee, B.-W., & Jung, I. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1078 · Cited by 39
Self-citationMapping the evolving landscape of super-enhancers during cell differentiation
Yan, K., Li, B. E., Zhu, M., Li, G. Y., Chen, F., Han, Y., Ji, H. Y., Orkin, S. H., Cai, W., Huang, J., et al. (2021) · Genome biology · doi:10.1186/s13059-021-02485-x · Cited by 42
Non-coding RNAs and chromatin domains
Yamamoto, T., & Saitoh, N. (2019) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2018.12.005 · Cited by 44
Chen, Y., Wang, Y., Xuan, Z., Chen, M., & Zhang, M. Q. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw225 · Cited by 41
Molecular Cytogenetics in the Era of Chromosomics and Cytogenomic Approaches
Liehr, T. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.720507 · Cited by 41
Glunk, V., Laber, S., Sinnott-Armstrong, N., Sobreira, D. R., Strobel, S., Batista, T. M., Kubitz, P., Moud, B. N., Ebert, H., Huang, Y., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00807-w · Cited by 41
Transcriptional enhancers: functional insights and role in human disease
Miguel-Escalada, I., Pasquali, L., & Ferrer, J. P. (2015) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2015.08.009 · Cited by 44
Coupling 1D modifications and 3D nuclear organization: data, models and function
Jost, D., Vaillant, C., & Meister, P. (2016) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2016.12.001 · Cited by 42
Chromosome topology guides the Drosophila Dosage Compensation Complex for target gene activation
Schauer, T., Ghavi-Helm, Y., Sexton, T., Albig, C., Regnard, C., Cavalli, G., Furlong, E. E. M., & Becker, P. B. (2017) · EMBO Reports · doi:10.15252/embr.201744292 · Cited by 46
Analysis of the structural variability of topologically associated domains as revealed by Hi-C
Sauerwald, N., Singhal, A., & Kingsford, C. (2019) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqz008 · Cited by 38
Perez-Rathke, A., Sun, Q., Wang, B., Boeva, V., Shao, Z., & Liang, J. (2020) · Genome biology · doi:10.1186/s13059-019-1904-z · Cited by 35
Self-citationLATS kinase–mediated CTCF phosphorylation and selective loss of genomic binding
Luo, H., Yu, Q., Liu, Y., Tang, M., Liang, M., Zhang, D., Xiao, T. S., Wu, L., Tan, M., Ruan, Y., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaw4651 · Cited by 39
Hierarchical chromatin organization detected by TADpole
Soler-Vila, P., Cuscó, P., Farabella, I., Stefano, M. D., & Martı́-Renom, M. A. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa087 · Cited by 39
CHESS enables quantitative comparison of chromatin contact data and automatic feature extraction
Galan, S., Machnik, N., Kruse, K., Díaz, N., Martı́-Renom, M. A., & Vaquerizas, J. M. (2020) · Nature Genetics · doi:10.1038/s41588-020-00712-y · Cited by 38
Chromatin Liquid–Liquid Phase Separation (LLPS) Is Regulated by Ionic Conditions and Fiber Length
Chen, Q., Zhao, L., Soman, A., Arkhipova, A. Y., Li, J., Li, H., Chen, Y., Shi, X., & Nordenskiöld, L. (2022) · Cells · doi:10.3390/cells11193145 · Cited by 40
Simultaneous profiling of chromatin architecture and transcription in single cells
Qu, J., Sun, J., Zhao, C., Liu, X., Zhang, X., Jiang, S., Wei, C., Yu, H., Zeng, X., Fan, L., et al. (2023) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-01066-9 · Cited by 39
Hilton, H. N., Graham, J. D., & Clarke, C. L. (2015) · Molecular Endocrinology · doi:10.1210/me.2015-1152 · Cited by 39
A computational strategy to adjust for copy number in tumor Hi-C data
Wu, H., & Michor, F. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw540 · Cited by 38
Engineering cell identity: establishing new gene regulatory and chromatin landscapes
Guo, C., & Morris, S. A. (2017) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2017.06.011 · Cited by 42
Alterations of specific chromatin conformation affect ATRA-induced leukemia cell differentiation
Li, Y., He, Y., Liang, Z., Wang, Y., Chen, F., Djekidel, M. N., Li, G., Zhang, X., Xiang, S., Wang, Z., et al. (2018) · Cell Death and Disease · doi:10.1038/s41419-017-0173-6 · Cited by 40
Forskolin and IBMX Induce Neural Transdifferentiation of MSCs Through Downregulation of the NRSF
Thompson, R., Casali, C., & Chan, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-39544-0 · Cited by 39
Metadata
- Authors
- Dixon, J. R., Jung, I., Selvaraj, S., Shen, Y., Antosiewicz-Bourget, J. E., Lee, A. Y., Ye, Z., Kim, A., Rajagopal, N., Xie, W., Diao, Y., Liang, J., Zhao, H., Lobanenkov, V. V., Ecker, J. R., Thomson, J. A., & Ren, B.
- Affiliations
- Ludwig Cancer Research (BE)
- Peking University (CN)
- University of Illinois Urbana-Champaign (US)
- National Institutes of Health (US)
- Salk Institute for Biological Studies (US)
- University of Wisconsin–Madison (US)
- University of California San Diego (US)
- Corresponding author
- Ren, Bing
- ORCID
- Venue
- Nature
- Published
- 2015-02-18
- Volume
- 518
- Issue
- 7539
- Pages
- 331-336
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4515363
- OpenAlex
- W2080477348
- Cited by
- 1,646
- References
- 45
- Citations by year
- 2026: 76 · 2025: 101 · 2024: 112 · 2023: 132 · 2022: 141 · 2021: 202 · 2020: 181 · 2019: 186 · 2018: 186 · 2017: 133 · 2016: 130 · 2015: 63
- FWCI
- 74.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-sa)
- Funders
- Howard Hughes Medical Institute
- California Institute of Regenerative Medicine (RN2-00905)
- Ludwig Institute for Cancer Research
- National Institutes of Health
- National Institute of General Medical Sciences (T32GM007198)
- National Institute of Environmental Health Sciences (U01ES017166, R01ES024984)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- chromatin structure, chromatin interactions, human embryonic stem cells, stem cell differentiation, lineage specification, chromatin domains, distal enhancers, enhancer-promoter interactions, long-range gene regulation, epigenome, transcriptome
- MeSH terms
- Alleles, Cell Differentiation, Chromatin, Enhancer Elements, Genetic, Humans, Promoter Regions, Genetic, Reproducibility of Results, Cell Lineage, Allelic Imbalance, Chromatin Assembly and Disassembly, Epigenesis, Genetic, Gene Regulatory Networks, Embryonic Stem Cells, Epigenomics
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