The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data
Open accessAbstract
How DNA is organized in three dimensions inside the cell nucleus and how this affects the ways in which cells access, read and interpret genetic information are among the longest standing questions in cell biology. Using newly developed molecular, genomic and computational approaches based on the chromosome conformation capture technology (such as 3C, 4C, 5C and Hi-C), the spatial organization of genomes is being explored at unprecedented resolution. Interpreting the increasingly large chromatin interaction data sets is now posing novel challenges. Here we describe several types of statistical and computational approaches that have recently been developed to analyse chromatin interaction data.
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?
In the citing paper
“Polymorphic cis-REs have been shown to influence CTCF binding (71, 72) and DNA looping (73).”
From Variation in the Oxytocin Receptor Gene Predicts Brain Region–Specific Expression and Social Attachment (2016) · cites this paper as [73]
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
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Self-citationComprehensive 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
Self-citationTopological 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
Rubinstein, M., & Colby, R. H. (2003) · doi:10.1093/oso/9780198520597.001.0001 · Cited by 5,686
Capturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
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
Self-citationThe 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
Self-citationChromosome territories, nuclear architecture and gene regulation in mammalian cells
Cremer, T. J., & Cremer, C. G. (2001) · Nature Reviews Genetics · doi:10.1038/35066075 · Cited by 2,423
Domain organization of human chromosomes revealed by mapping of nuclear lamina interactions
Guelen, L., Pagie, L., Brasset, É., Meuleman, W. R. A., Faza, M. B., Talhout, W., Eussen, B. H. J., de Klein, A., Wessels, L. F. A., de Laat, W. L., et al. (2008) · Nature · doi:10.1038/nature06947 · Cited by 2,042
Three-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 998
Epigenetic characteristics of the mitotic chromosome in 1D and 3D
Oomen, M. E., & Dekker, J. (2017) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.1080/10409238.2017.1287160 · Cited by 32
Self-citationComparison of Normalization Methods for Hi-C Data
Lyu, H., Liu, E., & Wu, Z. (2019) · BioTechniques · doi:10.2144/btn-2019-0105 · Cited by 30
Aguilar, M. R., & Prieto, P. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.672489 · Cited by 31
Serna‐Pujol, N., Salinas‐Pena, M., Mugianesi, F., Dily, F. L., Martı́-Renom, M. A., & Jordan, A. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac226 · Cited by 28
Gene regulation during development in the light of topologically associating domains
Remeseiro, S., Hörnblad, A., & Spitz, F. (2015) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.218 · Cited by 31
ProbC: joint modeling of epigenome and transcriptome effects in 3D genome
Sefer, E. (2022) · BMC Genomics · doi:10.1186/s12864-022-08498-5 · Cited by 32
D’Annessa, I., Coletta, A., Sutthibutpong, T., Mitchell, J. S., Chillemi, G., Harris, S. A., & Desideri, A. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku654 · Cited by 29
Chromatin barcodes as biomarkers for melanoma
Bastonini, E., Jeznach, M., Field, M., Juszczyk, K., Corfield, E., Dezfouli, M., Ahmat, N., Smith, A., Womersley, H. J., Jordan, P. W., et al. (2014) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.12258 · Cited by 27
Pioneer Factors in Animals and Plants—Colonizing Chromatin for Gene Regulation
Lai, X., Verhage, L., Hugouvieux, V., & Zubieta, C. (2018) · Molecules · doi:10.3390/molecules23081914 · Cited by 31
High-Resolution Mapping of Multiway Enhancer-Promoter Interactions Regulating Pathogen Detection
Vangala, P., Murphy, R., Quinodoz, S. A., Gellatly, K. J., McDonel, P. E., Guttman, M., & Garber, M. G. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.09.005 · Cited by 29
Shin, S. W., & Lee, J. S. (2020) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-020-0093-7 · Cited by 29
Topological isolation of developmental regulators in mammalian genomes
Wu, H., Landshammer, A., Stamenova, E. K., Bolondi, A., Kretzmer, H., Meissner, A., & Michor, F. (2021) · Nature Communications · doi:10.1038/s41467-021-24951-7 · Cited by 29
The (unusual) heuristic value of Hox gene clusters; a matter of time?
Duboule, D. (2022) · Developmental Biology · doi:10.1016/j.ydbio.2022.02.007 · Cited by 36
Wang, X., Dong, P., Zhang, H., & Peng, C. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv684 · Cited by 28
Moisan, S., Berlivet, S., Ka, C., Gac, G. L., Dostie, J., & Férec, C. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1300 · Cited by 26
Interplay Between Genetic and Epigenetic Mechanisms in Rheumatoid Arthritis
Frank‐Bertoncelj, M., Klein, K., & Gay, S. (2017) · Epigenomics · doi:10.2217/epi-2016-0142 · Cited by 29
Calderon, C. P. (2016) · Physical review. E · doi:10.1103/physreve.93.053303 · Cited by 28
Dynamic Changes in Plant Nuclear Organization in Response to Environmental and Developmental Signals
Groves, N. R., Biel, A., Newman-Griffis, A. H., & Meier, I. (2017) · PLANT PHYSIOLOGY · doi:10.1104/pp.17.00788 · Cited by 29
Schram, R. D., Rosa, A., & Everaers, R. (2019) · Soft Matter · doi:10.1039/c8sm02587h · Cited by 28
Hi–C interaction graph analysis reveals the impact of histone modifications in chromatin shape
Sefer, E. (2021) · Applied Network Science · doi:10.1007/s41109-021-00396-1 · Cited by 28
A Liquid State Perspective on Dynamics of Chromatin Compartments
Laghmach, R., Pierro, M. D., & Potoyan, D. A. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.781981 · Cited by 25
Richer, S., Tian, Y., Schoenfelder, S., Hurst, L., Murrell, A., & Pisignano, G. (2022) · bioRxiv · doi:10.1186/s13059-023-02876-2 · Cited by 25
Metagenome Analysis Exploiting High-Throughput Chromosome Conformation Capture (3C) Data
Marbouty, M., & Koszul, R. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.10.003 · Cited by 28
Regulatory variants of FOXG1 in the context of its topological domain organisation
Mehrjouy, M. M., Fonseca, A. C., Ehmke, N., Paskulin, G. A., Novelli, A., Benedicenti, F., Mencarelli, M. A., Renieri, A., Busa, T., Missirian, C., et al. (2017) · European Journal of Human Genetics · doi:10.1038/s41431-017-0011-4 · Cited by 25
Wu, Y., Shi, Z., Zhou, X., Zhang, P., Yang, X., Ding, J., & Wu, H. (2024) · Communications Biology · doi:10.1038/s42003-024-06626-3 · Cited by 30
Establishing epigenetic domains via chromatin‐bound histone modifiers
Erdel, F., Müller‐Ott, K., & Rippe, K. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12262 · Cited by 25
A statistical model of intra-chromosome contact maps
Nazarov, L. I., Владимирович, Т. М., Аветисов, В. А., & Nechaev, S. (2014) · Soft Matter · doi:10.1039/c4sm02519a · Cited by 26
Real-time visualization of chromatin modification in isolated nuclei
Sardo, L., Lin, A. M., Khakhina, S., Beckman, L., Ricon, L., Elbezanti, W. O., Jaison, T., Vishwasrao, H. D., Shroff, H., Janetopoulos, C., et al. (2017) · Journal of Cell Science · doi:10.1242/jcs.205823 · Cited by 27
Ribosomal RNA genes shape chromatin domains associating with the nucleolus
Picart-Picolo, A., Picault, N., & Pontvianne, F. (2019) · Nucleus · doi:10.1080/19491034.2019.1591106 · Cited by 29
On the relations of phase separation and Hi-C maps to epigenetics
Singh, P. B., & Newman, A. G. (2020) · Royal Society Open Science · doi:10.1098/rsos.191976 · Cited by 27
GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
Oluwadare, O., Highsmith, M. R., Turner, D., Aiden, E. L., & Cheng, J.-L. (2019) · BMC Molecular and Cell Biology · doi:10.1186/s12860-020-00304-y · Cited by 23
Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
Duan, A., Wang, H., Zhu, Y., Wang, Q., Zhang, J., Hou, Q., Xing, Y., Shi, J., Hou, J., Qin, Z. S., et al. (2021) · BMC Biology · doi:10.1186/s12915-021-00977-7 · Cited by 26
Understanding epigenomics based on the rice model
Lu, Y., Zhou, D., & Zhao, Y. J. (2020) · Theoretical and Applied Genetics · doi:10.1007/s00122-019-03518-7 · Cited by 27
Foster, S. R., Porrello, E. R., Stefani, M., Smith, N. J., Molenaar, P., dos Remedios, C. G., Thomas, W. G., & Ramialison, M. (2015) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-015-1118-1 · Cited by 28
Computational schemes for the prediction and annotation of enhancers from epigenomic assays
Whitaker, J. W., Nguyen, T. T., Zhu, Y., Wildberg, A., & Wang, W. (2014) · Methods · doi:10.1016/j.ymeth.2014.10.008 · Cited by 26
Genome-Wide Epigenetic Studies in Human Disease: A Primer on -Omic Technologies
Yan, H., Tian, S., Slager, S. L., Sun, Z., & Ördög, T. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv187 · Cited by 26
Sefer, E., Duggal, G., & Kingsford, C. (2016) · Journal of Computational Biology · doi:10.1089/cmb.2015.0210 · Cited by 26
Middelkamp, S., Vlaar, J. M., Giltay, J. C., Korzelius, J., Besselink, N. J. M., Boymans, S., Janssen, R., de la Fonteijne, L., van Binsbergen, E., van Roosmalen, M. J., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0692-0 · Cited by 27
Maj, C., Azevedo, T., Giansanti, V., Borisov, O., Dimitri, G. M., Spasov, S., Initiative, A. D. N., Lió, P., & Merelli, I. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00726 · Cited by 27
Weiterer, S., Meier‐Soelch, J., Georgomanolis, T., Mizi, A., Beyerlein, A., Weiser, H., Brant, L., Mayr‐Buro, C., Jurida, L., Beuerlein, K., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2019101533 · Cited by 26
Understanding the genetic liability to schizophrenia through the neuroepigenome
Fullard, J. F., Halene, T. B., Giambartolomei, C., Haroutunian, V. H., Akbarian, S., & Roussos, P. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.01.039 · Cited by 26
3D Genome Reconstruction with ShRec3D+ and Hi-C Data
Li, J., Zhang, W., & Li, X. (2016) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2016.2535372 · Cited by 25
Additive scaling law for structural organization of chromatin in chicken erythrocyte nuclei
Iashina, E. G., Velichko, E. V., Filatov, M. V., Bouwman, W. G., Duif, C. P., Brûlet, A., & Grigoriev, S. V. (2017) · Physical review. E · doi:10.1103/physreve.96.012411 · Cited by 26
Balajee, A. S., & Hande, M. P. (2018) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2018.08.008 · Cited by 25
Finding Friends in the Crowd: Three-Dimensional Cliques of Topological Genomic Domains
Collas, P., Ali, T. M. L., Brunet, A., & Germier, T. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00602 · Cited by 24
Characterizing chromatin folding coordinate and landscape with deep learning
Xie, W. J., Qi, Y., & Zhang, B. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008262 · Cited by 23
Roadmap to a plasma cell: Epigenetic and transcriptional cues that guide B cell differentiation
Wiggins, K. J., & Scharer, C. D. (2020) · Immunological Reviews · doi:10.1111/imr.12934 · Cited by 31
Ding, B., Liu, Y., Liu, Z., Zheng, L., Xu, P., Zhao, C., Wu, P., Zhao, Y., Pan, Q., Guo, Y., et al. (2021) · Science Advances · doi:10.1126/sciadv.abi6020 · Cited by 22
Chromatin associations in Arabidopsis interphase nuclei
Schubert, V., Rudnik, R., & Schubert, I. A. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00389 · Cited by 27
A novel method to identify topological domains using Hi‐C data
Wang, Y., Li, Y., Gao, J. T., & Zhang, M. Q. (2015) · Quantitative Biology · doi:10.1007/s40484-015-0047-9 · Cited by 25
Mechanical Pulling of Linked Ring Polymers: Elastic Response and Link Localisation
Caraglio, M., Micheletti, C., & Orlandini, E. (2017) · Polymers · doi:10.3390/polym9080327 · Cited by 25
The transcriptional factor ZEB1 represses Syndecan 1 expression in prostate cancer
Farfán, N., Ocarez, N., Castellón, E. A., Mejía, N., de Herreros, A. G., & Contreras, H. R. (2018) · Scientific Reports · doi:10.1038/s41598-018-29829-1 · Cited by 25
Contact Statistics Highlight Distinct Organizing Principles of Proteins and RNA
Liu, L., & Hyeon, C. (2016) · Biophysical Journal · doi:10.1016/j.bpj.2016.04.020 · Cited by 25
Brown, C. Y., Sadlon, T. J., Hope, C. M., Wong, Y. Y., Wong, S. W., Liu, N., Withers, H., Brown, K. A., Bandara, V., Gundsambuu, B., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01269 · Cited by 25
HiC-ACT: improved detection of chromatin interactions from Hi-C data via aggregated Cauchy test
Lagler, T. M., Abnousi, A., Hu, M., Yang, Y., & Li, Y. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.01.009 · Cited by 24
Spatial features for Escherichia coli genome organization
Xie, T., Fu, L.-Y., Yang, Q., Xiong, H., Xu, H., Ma, B., & Zhang, H. (2015) · BMC Genomics · doi:10.1186/s12864-015-1258-1 · Cited by 24
Botchkarev, V. A. (2017) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2016.04.040 · Cited by 24
Viruses in the NucleusPreprint
Lucic, B., de Castro, I. J., & Lušić, M. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a039446 · Cited by 26
SARS-CoV-2 Restructures the Host Chromatin ArchitecturePreprint
Wang, R.-Y., Lee, J.-H., Xiong, F., Kim, J., Hasani, L. A., Yuan, X.-Y., Shivshankar, P., Krakowiak, J., Qi, C.-Y., Wang, Y.-Y., et al. (2021) · bioRxiv · doi:10.1101/2021.07.20.453146 · Cited by 40
RotoStep: A Chromosome Dynamics Simulator Reveals Mechanisms of Loop ExtrusionPreprint
Lawrimore, J., Friedman, B., Doshi, A., & Bloom, K. (2017) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2017.82.033696 · Cited by 26
Dynamic enhancer function in the chromatin context
Goldstein, I., & Hager, G. L. (2018) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1390 · Cited by 25
Li, L., Li, X., & Wu, H. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf289 · Cited by 25
The 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
Genome Editing in Neurosciences
Jaenisch, R., Gage, F. H., & Zhang, F. (2017) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-60192-2 · Cited by 23
p -Adic mathematics and theoretical biology
Dragovich, B. G., Khrennikov, A. Y., Kozyrev, S. V., & Mišić, N. Ž. (2020) · Biosystems · doi:10.1016/j.biosystems.2020.104288 · Cited by 23
Zhong, W., Liu, W., Chen, J. C., Sun, Q., Hu, M., & Li, Y. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.957292 · Cited by 24
Zhu, X., Qi, C.-Y., Wang, R.-Y., Lee, J.-H., Shao, J., Bei, L.-X., Xiong, F., Nguyen, P. T., Li, G., Krakowiak, J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111576 · Cited by 20
Exploring the genetic basis of coronary artery disease using functional genomics
Rodríguez, M. L., Arasu, U. T., & Kaikkonen, M. U. (2023) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2023.01.019 · Cited by 25
Coming to terms with chromatin structure
Even‐Faitelson, L., Hassan‐Zadeh, V., Baghestani, Z., & Bazett‐Jones, D. P. (2015) · Chromosoma · doi:10.1007/s00412-015-0534-9 · Cited by 24
The “lnc” between 3D chromatin structure and X chromosome inactivation
Pandya‐Jones, A., & Plath, K. (2016) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2016.04.002 · Cited by 22
Chromosome-wide co-fluctuation of stochastic gene expression in mammalian cells
Sun, M., & Zhang, J. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008389 · Cited by 25
Structures and functions in the crowded nucleus: new biophysical insights
Hancock, R. (2014) · Frontiers in Physics · doi:10.3389/fphy.2014.00053 · Cited by 23
Challenges for visualizing three‐dimensional data in genomic browsers
Goodstadt, M. N., & Martı́-Renom, M. A. (2017) · FEBS Letters · doi:10.1002/1873-3468.12778 · Cited by 23
TADs as modular and dynamic units for gene regulation by hormones
Dily, F. L., & Beato, M. (2015) · FEBS Letters · doi:10.1016/j.febslet.2015.05.026 · Cited by 22
Nuclear Architecture and Chromatin Dynamics in Interphase Nuclei of Arabidopsis thaliana
Prete, S., Arpòn, J., Sakai, K., Andrey, P., & Gaudin, V. (2014) · Cytogenetic and Genome Research · doi:10.1159/000363724 · Cited by 22
DNA loop domain organization as revealed by single-cell gel electrophoresis
Afanasieva, K. S., Chopei, M., Zazhytska, M., Vikhreva, M., & Sivolob, A. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2013.09.021 · Cited by 24
Large Scale Chromosome Folding Is Stable against Local Changes in Chromatin Structure
Florescu, A., Therizols, P., & Rosa, A. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004987 · Cited by 23
Nikumbh, S., & Pfeifer, N. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1624-x · Cited by 22
TAD-free analysis of architectural proteins and insulators
Mourad, R., & Cuvier, O. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1246 · Cited by 21
“Looping In” Mechanics: Mechanobiologic Regulation of the Nucleus and the Epigenome
Dai, E. N., Heo, S., & Mauck, R. L. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.202000030 · Cited by 22
Protein/DNA interactions in complex DNA topologies: expect the unexpected
Noy, A., Sutthibutpong, T., & Harris, S. A. (2016) · Biophysical Reviews · doi:10.1007/s12551-016-0241-7 · Cited by 21
Hematopoietic transcriptional mechanisms: From locus-specific to genome-wide vantage points
DeVilbiss, A., Sanalkumar, R., Johnson, K. D., Keleş, S., & Bresnick, E. H. (2014) · Experimental Hematology · doi:10.1016/j.exphem.2014.05.004 · Cited by 21
Wang, M., Hancock, T., Chamberlain, A. J., Jagt, C. J. V., Pryce, J. E., Cocks, B. G., Goddard, M. E., & Hayes, B. J. (2018) · BMC Genomics · doi:10.1186/s12864-018-4800-0 · Cited by 20
StereoGene: rapid estimation of genome-wide correlation of continuous or interval feature data
Stavrovskaya, E. D., Niranjan, T., Fertig, E. J., Wheelan, S. J., Favorov, A. V., & Mironov, A. A. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx379 · Cited by 21
Daban, J. (2019) · FEBS Letters · doi:10.1002/1873-3468.13724 · Cited by 21
Understanding three-dimensional chromatin organization in diploid genomes
Li, J., Lin, Y., Tang, Q., & Li, M. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.06.018 · Cited by 20
Regulation of 3D Organization and Its Role in Cancer Biology
Peng, A., Peng, W., Wang, R., Zhao, H., Yu, X., & Sun, Y. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.879465 · Cited by 22
Simmonds, P., Loomis, E. W., & Curry, E. W. (2017) · Genome Medicine · doi:10.1186/s13073-017-0443-z · Cited by 21
Temporal autoregulation during human PU.1 locus SubTAD formation
Schuetzmann, D., Walter, C., van Riel, B., Kruse, S., König, T., Erdmann, T., Tönges, A., Bindels, E. M., Weilemann, A., Gebhard, C., et al. (2018) · Blood · doi:10.1182/blood-2018-02-834721 · Cited by 19
A principled strategy for mapping enhancers to genes
Kim, D., An, H., Shearer, R. S., Sharif, M. A., Fan, C., Choi, J., Ryu, S., & Park, Y. (2019) · Scientific Reports · doi:10.1038/s41598-019-47521-w · Cited by 20
Shi, Z., Cong, L., & Wu, H. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3595904 · Cited by 22
A matter of scale: how emerging technologies are redefining our view of chromosome architecture
Cattoni, D. I., Valeri, A., Gall, A. L., & Nöllmann, M. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.05.011 · Cited by 20
Vijayabaskar, M. S., Goode, D. K., Obier, N., Lichtinger, M., Emmett, A., Abidin, F. N. Z., Shar, N. A., Hannah, R., Assi, S. A., Lie‐A‐Ling, M., et al. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007337 · Cited by 19
Matityahu, A., & Onn, I. (2021) · Journal of Cell Science · doi:10.1242/jcs.247577 · Cited by 22
Agrawal, A., Ganai, N., Sengupta, S., & Menon, G. I. (2017) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/aa5287 · Cited by 19
Multilayer organization of chromosomes
Daban, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823579-9.00010-2 · Cited by 19
Transcription-dependent mobility of single genes and genome-wide motions in live human cells
Chu, F.-Y., Clavijo, A. S., Lee, S., & Zidovska, A. (2024) · Nature Communications · doi:10.1038/s41467-024-51149-4 · Cited by 23
Zhao, Z., Hu, B., Deng, Y., Soeung, M., Yao, J., Bei, L.-X., Zhang, Y., Gong, P.-J., Huang, L. A., Jiang, Z., et al. (2025) · Immunity · doi:10.1016/j.immuni.2025.04.020 · Cited by 16
Application of Hi-C and other omics data analysis in human cancer and cell differentiation research
Gong, H., Yang, Y., Zhang, S., Li, M., & Zhang, X. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.04.016 · Cited by 20
Removing unwanted variation between samples in Hi-C experiments
Fletez‐Brant, K., Qiu, Y., Gorkin, D. U., Hu, M., & Hansen, K. D. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae217 · Cited by 19
Metadata
- Authors
- Dekker, J., Marti-Renom, M. A., & Mirny, L. A.
- Affiliations
- University of Massachusetts Chan Medical School (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Dekker, Job
- Venue
- Nature Reviews Genetics
- Published
- 2013-05-09
- Volume
- 14
- Issue
- 6
- Pages
- 390-403
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC3874835
- OpenAlex
- W1574083126
- Cited by
- 1,068
- References
- 113
- Citations by year
- 2026: 24 · 2025: 38 · 2024: 65 · 2023: 50 · 2022: 73 · 2021: 79 · 2020: 75 · 2019: 81 · 2018: 107 · 2017: 122 · 2016: 122 · 2015: 121 · 2014: 80 · 2013: 30
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
- PMC
- Funders
- W. M. Keck Foundation
- European Commission (282510)
- Ministerio de Ciencia e Innovación (BFU2010-19310)
- National Institutes of Health (HG003143)
- National Human Genome Research Institute (HG003143, HG003143-06S1, R01HG003143)
- National Cancer Institute (U54CA143874)
- 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 › Chromatin Remodeling and Cancer
- Keywords
- 3D genome organization, chromatin interactions, chromosome conformation capture, Hi-C, 4Cs, 5C, nuclear organization, gene expression regulation, chromatin accessibility
- MeSH terms
- Animals, Chromatin, Chromosome Mapping, Chromosomes, Human, Epistasis, Genetic, Humans, Models, Genetic, Nucleic Acid Conformation, Genome, Human
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