The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Comparison of Hi-C results using in-solution versus in-nucleus ligation
Open accessAbstract
BACKGROUND: Chromosome conformation capture and various derivative methods such as 4C, 5C and Hi-C have emerged as standard tools to analyze the three-dimensional organization of the genome in the nucleus. These methods employ ligation of diluted cross-linked chromatin complexes, intended to favor proximity-dependent, intra-complex ligation. During development of single-cell Hi-C, we devised an alternative Hi-C protocol with ligation in preserved nuclei rather than in solution. Here we directly compare Hi-C methods employing in-nucleus ligation with the standard in-solution ligation. RESULTS: We show in-nucleus ligation results in consistently lower levels of inter-chromosomal contacts. Through chromatin mixing experiments we show that a significantly large fraction of inter-chromosomal contacts are the result of spurious ligation events formed during in-solution ligation. In-nucleus ligation significantly reduces this source of experimental noise, and results in improved reproducibility between replicates. We also find that in-nucleus ligation eliminates restriction fragment length bias found with in-solution ligation. These improvements result in greater reproducibility of long-range intra-chromosomal and inter-chromosomal contacts, as well as enhanced detection of structural features such as topologically associated domain boundaries. CONCLUSIONS: We conclude that in-nucleus ligation captures chromatin interactions more consistently over a wider range of distances, and significantly reduces both experimental noise and bias. In-nucleus ligation creates higher quality Hi-C libraries while simplifying the experimental procedure. We suggest that the entire range of 3C applications are likely to show similar benefits from in-nucleus ligation.
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
Figures



![Fig. 4 Experimental GC content bias. The mouse in-solution (ISL), in-nucleus (INL) and random (RL) ligations are compared for GC content-related bias matrices, calculated using the Hi-C matrix correction [21], employing a 100-kb bin resolution](/paper-figures/9c61dc5c67814f31a784965c1bacc69d/comparison-of-hi-c-results-using-in-solution-versus-in-nucleus-ligation-figure-4.jpg)
![Fig. 5 Experimental fragment length bias. The mouse and human in-solution (ISL), in-nucleus (INL) and TCC ligation datasets are compared for fragment length bias matrices, calculated using the Hi-C matrix correction [21], employing a 100-kb bin resolution. a Mouse foetal liver. b Human ES cells. c GM12878 human lymphoblastoid cells [4]](/paper-figures/50fdc2ed8d3445e08eb107038730c3d2/comparison-of-hi-c-results-using-in-solution-versus-in-nucleus-ligation-figure-5.jpg)
![Fig. 6 Normalized Hi-C matrices with compartments. Normalized matrices for mouse chromosome 9 from the indicated datasets with the first principal component indicated A and B compartments (defined by Lieberman-Aiden et al. [15]), at the top and left of each map. INL in-nucleus ligation, ISL in-solution ligation, RL random ligation](/paper-figures/9e952d1cfc1341abad17831c4ddf54b9/comparison-of-hi-c-results-using-in-solution-versus-in-nucleus-ligation-figure-6.jpg)
![Fig. 7 Reproducibility of the corrected Hi-C matrices. Element-wise comparison of coverage-corrected (a–f) and coverage- and distance-corrected (g–l) Hi-C matrices as indicated. The scatter plots show the log2-corrected counts in one dataset against the corresponding count values in the second dataset, for all cis-chromosomal (blue to green color varying with genomic distance) and trans-chromosomal (red) bin interaction counts. The correction of Imakaev et al. [22] was applied, using a bin resolution of 10 Mb. INL in-nucleus ligation, ISL in-solution ligation, RL random ligation](/paper-figures/f8d4baa101a84cae981bb57f74802baa/comparison-of-hi-c-results-using-in-solution-versus-in-nucleus-ligation-figure-7.jpg)

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
“indicative of high library quality13”
From Cell-cycle dynamics of chromosomal organization at single-cell resolution (2017) · cites this paper as [13]
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
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
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
Spatial 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
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
Single-cell Hi-C reveals cell-to-cell variability in chromosome structure
Nagano, T., Lubling, Y., Stevens, T. J., Schoenfelder, S., Yaffe, E., Dean, W., Laue, E. D., Tanay, A., & Fraser, P. (2013) · Nature · doi:10.1038/nature12593 · Cited by 1,589
Self-citationIterative correction of Hi-C data reveals hallmarks of chromosome organization
Imakaev, M., Fudenberg, G., McCord, R. P., Naumova, N., Goloborodko, A., Lajoie, B. R., Dekker, J., & Mirny, L. A. (2012) · Nature Methods · doi:10.1038/nmeth.2148 · Cited by 1,423
A map of the cis-regulatory sequences in the mouse genome
Shen, Y., Yue, F., McCleary, D. F., Ye, Z., Edsall, L., Kuan, S., Wagner, U., Dixon, J., Lee, L., Lobanenkov, V. V., et al. (2012) · Nature · doi:10.1038/nature11243 · Cited by 1,361 · cited 1×
“This was done by multiplying the eigenvector by −1 if the Pearson correlation coefficient of the eigenvector and the H3K4me3 histone modification mark ChIPseq [19, 28] profile was negative.”
Method
Research works printed but not linked: 1
- Datasets deposited at Gene Expression Omnibus, GSE70181. http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?token=wtmfywywjrshbip&acc=GSE70181 .
Cited by
Sorted by citations
HiChIP: efficient and sensitive analysis of protein-directed genome architecture
Mumbach, M. R., Rubin, A. J., Flynn, R. A., Dai, C., Khavari, P. A., Greenleaf, W. J., & Chang, H. Y. (2016) · Nature Methods · doi:10.1038/nmeth.3999 · Cited by 1,139
Javierre, B. M., Burren, O. S., Wilder, S. P., Kreuzhuber, R., Hill, S. M., Sewitz, S., Cairns, J., Wingett, S. W., Várnai, C., Thiecke, M. J., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.037 · Cited by 1,046
Self-citationYY1 Is a Structural Regulator of Enhancer-Promoter Loops
Weintraub, A. S., Li, C. H., Zamudio, A. V., Sigova, A. A., Hannett, N. M., Day, D. S., Abraham, B. J., Cohen, M. A., Nabet, B., Buckley, D. L., et al. (2017) · Cell · doi:10.1016/j.cell.2017.11.008 · Cited by 992
Wutz, G., Várnai, C., Nagasaka, K., Cisneros, D. A., Stocsits, R. R., Tang, W., Schoenfelder, S., Jessberger, G., Muhar, M., Hossain, M. J., et al. (2017) · The EMBO Journal · doi:10.15252/embj.201798004 · Cited by 864
Self-citationCell-cycle dynamics of chromosomal organization at single-cell resolution
Nagano, T., Lubling, Y., Várnai, C., Dudley, C., Leung, W., Baran, Y., Mendelson Cohen, N., Wingett, S., Fraser, P., & Tanay, A. (2017) · Nature · doi:10.1038/nature23001 · Cited by 794
Self-citationHiCUP: pipeline for mapping and processing Hi-C data
Wingett, S., Ewels, P., Furlan-Magaril, M., Nagano, T., Schoenfelder, S., Fraser, P., & Andrews, S. (2015) · F1000Research · doi:10.12688/f1000research.7334.1 · Cited by 734
Self-citationWang, Y., Song, F., Zhang, B., Zhang, L., Xu, J., Kuang, D., Li, D., Choudhary, M. N. K., Li, Y., Hu, M., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1519-9 · Cited by 559
Understanding 3D genome organization by multidisciplinary methods
Jerković, I., & Cavalli, G. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00362-w · Cited by 413
The second decade of 3C technologies: detailed insights into nuclear organizationPreprint
Denker, A., & de Laat, W. L. (2016) · Genes & Development · doi:10.1101/gad.281964.116 · Cited by 357
Genome-wide mapping and analysis of chromosome architecture
Schmitt, A. D., Hu, M., & Ren, B. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.104 · Cited by 344
LHX2- and LDB1-mediated trans interactions regulate olfactory receptor choice
Monahan, K. D., Horta, A., & Lomvardas, S. (2019) · Nature · doi:10.1038/s41586-018-0845-0 · Cited by 318
Belaghzal, H., Dekker, J., & Gibcus, J. H. (2017) · Methods · doi:10.1016/j.ymeth.2017.04.004 · Cited by 325
Miguel-Escalada, I., Bonàs‐Guarch, S., Cebola, I., Ponsa-Cobas, J., Mendieta-Esteban, J., Atla, G., Javierre, B. M., Rolando, D., Farabella, I., Morgan, C. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0457-0 · Cited by 269
Self-citationLiu, C., Cheng, Y., Wang, J., & Weigel, D. (2017) · Nature Plants · doi:10.1038/s41477-017-0005-9 · Cited by 270
Aymard, F., Aguirrebengoa, M., Guillou, E., Javierre, B. M., Bugler, B., Arnould, C., Rocher, V., Iacovoni, J. S., Biernacka, A., Skrzypczak, M., et al. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3387 · Cited by 263
Self-citationDynamic Rewiring of Promoter-Anchored Chromatin Loops during Adipocyte Differentiation
Siersbæk, R., Madsen, J. G. S., Javierre, B. M., Nielsen, R., Bagge, E. K., Cairns, J., Wingett, S. W., Traynor, S., Spivakov, M., Fraser, P., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.04.010 · Cited by 243
Self-citationMicro-C XL: assaying chromosome conformation from the nucleosome to the entire genome
Hsieh, T.-H. S., Fudenberg, G., Goloborodko, A., & Rando, O. J. (2016) · Nature Methods · doi:10.1038/nmeth.4025 · Cited by 216
Zhan, Y., Mariani, L., Barozzi, I., Schulz, E. G., Blüthgen, N., Stadler, M. B., Tiana, G., & Giorgetti, L. (2017) · Genome Research · doi:10.1101/gr.212803.116 · Cited by 214
Giant lungfish genome elucidates the conquest of land by vertebrates
Meyer, A., Schloissnig, S., Franchini, P., Du, K., Woltering, J. M., Irisarri, I., Wong, W. Y., Nowoshilow, S., Kneitz, S., Kawaguchi, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03198-8 · Cited by 211
Joshi, O., Wang, S.-Y., Kuznetsova, T., Atlasi, Y., Peng, T., Fabre, P. J., Habibi, E., Shaik, J., Saeed, S., Handoko, L., et al. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.11.010 · Cited by 208
Enhancing 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
Chromosome conformation capture technologies and their impact in understanding genome function
Sati, S., & Cavalli, G. (2016) · Chromosoma · doi:10.1007/s00412-016-0593-6 · Cited by 195
Harewood, L., Kishore, K., Eldridge, M. D., Wingett, S., Pearson, D., Schoenfelder, S., Collins, V. P., & Fraser, P. (2017) · Genome Biology · doi:10.1186/s13059-017-1253-8 · Cited by 178
Self-citationLu, L., Liu, X., Huang, W., Giusti‐Rodríguez, P., Cui, J., Zhang, S., Xu, W., Wen, Z., Ma, S., Rosen, J. D., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.06.007 · Cited by 175
SMCHD1 Merges Chromosome Compartments and Assists Formation of Super-Structures on the Inactive X
Wang, C., Jégu, T., Chu, H.-P. C., Oh, H. J., & Lee, J. T. (2018) · Cell · doi:10.1016/j.cell.2018.05.007 · Cited by 170
A supervised learning framework for chromatin loop detection in genome-wide contact maps
Salameh, T. J., Wang, X., Song, F., Zhang, B., Wright, S. M., Khunsriraksakul, C., Ruan, Y., & Yue, F. (2020) · Nature Communications · doi:10.1038/s41467-020-17239-9 · Cited by 165
Measuring the reproducibility and quality of Hi-C data
Yardımcı, G. G., Özadam, H., Sauria, M. E. G., Ursu, O., Yan, K., Yang, T., Chakraborty, A., Kaul, A., Lajoie, B. R., Song, F., et al. (2019) · Genome biology · doi:10.1186/s13059-019-1658-7 · Cited by 173
Kaaij, L. J. T., Mohn, F., van der Weide, R. H., de Wit, E., & Bühler, M. (2019) · Cell · doi:10.1016/j.cell.2019.08.007 · Cited by 161
Nagano, T., Lubling, Y., Yaffe, E., Wingett, S., Dean, W., Tanay, A., & Fraser, P. (2015) · Nature Protocols · doi:10.1038/nprot.2015.127 · Cited by 165
Self-citationHi-C analyses with GENOVA: a case study with cohesin variants
van der Weide, R. H., van den Brand, T., Haarhuis, J. H. I., Teunissen, H., Rowland, B. D., & de Wit, E. (2021) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqab040 · Cited by 161
HiCcompare: an R-package for joint normalization and comparison of HI-C datasets
Stansfield, J. C., Cresswell, K. G., Vladimirov, V. I., & Dozmorov, M. G. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2288-x · Cited by 149
How best to identify chromosomal interactions: a comparison of approaches
Davies, J. O. J., Oudelaar, A. M., Higgs, D. R., & Hughes, J. R. (2017) · Nature Methods · doi:10.1038/nmeth.4146 · Cited by 155
Cooperative interactions enable singular olfactory receptor expression in mouse olfactory neurons
Monahan, K., Schieren, I., Cheung, J., Mumbey-Wafula, A., Monuki, E. S., & Lomvardas, S. (2017) · eLife · doi:10.7554/elife.28620 · Cited by 144
Capturing pairwise and multi-way chromosomal conformations using chromosomal walks
Olivares‐Chauvet, P., Mukamel, Z., Lifshitz, A., Schwartzman, O., Elkayam, N. O., Lubling, Y., Deikus, G. Y., Sebra, R., & Tanay, A. (2016) · Nature · doi:10.1038/nature20158 · Cited by 141
FISH-ing for captured contacts: towards reconciling FISH and 3C
Fudenberg, G., & Imakaev, M. (2017) · Nature Methods · doi:10.1038/nmeth.4329 · Cited by 141
Closing the loop: 3C versus DNA FISH
Giorgetti, L., & Heard, E. (2016) · Genome Biology · doi:10.1186/s13059-016-1081-2 · Cited by 131
Interchromosomal interactions: A genomic love story of kissing chromosomes
Maass, P. G., Barutcu, A. R., & Rinn, J. L. (2018) · The Journal of Cell Biology · doi:10.1083/jcb.201806052 · Cited by 124
Mapping 3D genome architecture through in situ DNase Hi-C
Ramani, V., Cusanovich, D. A., Hause, R. J., Ma, W., Qiu, R., Deng, X., Blau, C. A., Distèche, C. M., Noble, W. S., Shendure, J., et al. (2016) · Nature Protocols · doi:10.1038/nprot.2016.126 · Cited by 116
Zhu, W., Hu, B., Becker, C., Doğan, E. S., Berendzen, K. W., Weigel, D., & Liu, C. (2017) · Genome biology · doi:10.1186/s13059-017-1281-4 · Cited by 115
Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions
Schoenfelder, S., Javierre, B. M., Furlan-Magaril, M., Wingett, S., & Fraser, P. (2018) · Journal of Visualized Experiments · doi:10.3791/57320 · Cited by 121
Self-citationMultiplexed imaging of nucleome architectures in single cells of mammalian tissue
Liu, M., Lu, Y., Yang, B., Chen, Y., Radda, J. S. D., Hu, M., Katz, S. G., & Wang, S. (2020) · Nature Communications · doi:10.1038/s41467-020-16732-5 · Cited by 107
Rfx2 Stabilizes Foxj1 Binding at Chromatin Loops to Enable Multiciliated Cell Gene Expression
Quigley, I. K., & Kintner, C. R. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006538 · Cited by 103
Yang, M., Vesterlund, M., Siavelis, I., Moura‐Castro, L. H., Castor, A., Fioretos, T., Jafari, R., Lilljebjörn, H., Odom, D. T., Olsson, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09469-3 · Cited by 101
Madsen, J. G. S., Madsen, M. S., Rauch, A., Traynor, S., Hauwaert, E. L. V., Haakonsson, A. K., Javierre, B. M., Hyldahl, M., Fraser, P., & Mandrup, S. (2020) · Nature Genetics · doi:10.1038/s41588-020-0709-z · Cited by 97
Self-citationPan, D. Z., Garske, K. M., Alvarez, M., Bhagat, Y. V., Boocock, J., Nikkola, E., Miao, Z., Raulerson, C. K., Cantor, R. M., Civelek, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03554-9 · Cited by 95
Liang, Z., Li, G., Wang, Z., Djekidel, M. N., Li, Y., Qian, M., Zhang, M. Q., & Chen, Y. (2017) · Nature Communications · doi:10.1038/s41467-017-01754-3 · Cited by 90
Allele-specific control of replication timing and genome organization during developmentPreprint
Rivera‐Mulia, J. C., Dimond, A., Vera, D. L., Trevilla‐García, C., Sasaki, T., Zimmerman, J., Dupont, C., Gribnau, J. H., Fraser, P., & Gilbert, D. M. (2018) · Genome Research · doi:10.1101/gr.232561.117 · Cited by 81
Self-citationDeciphering Hi-C: from 3D genome to function
Kong, S., & Zhang, Y. (2019) · Cell Biology and Toxicology · doi:10.1007/s10565-018-09456-2 · Cited by 85
Inter-chromosomal Contact Properties in Live-Cell Imaging and in Hi-C
Maass, P. G., Barutcu, A. R., Weiner, C. L., & Rinn, J. L. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.02.007 · Cited by 73
Transcription-dependent cohesin repositioning rewires chromatin loops in cellular senescence
Olan, I., Parry, A. J., Schoenfelder, S., Narita, M., Ito, Y., Chan, A. S. L., Slater, G. S. C., Bihary, D., Bando, M., Shirahige, K., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19878-4 · Cited by 76
Self-citationOlfactory receptor genes make the case for inter-chromosomal interactions
Bashkirova, E., & Lomvardas, S. (2019) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2019.07.004 · Cited by 72
Genome-wide colocalization of RNA–DNA interactions and fusion RNA pairs
Yan, Z., Huang, N., Wu, W., Chen, W., Jiang, Y., Chen, J., Huang, X., Wen, X., Xu, J., Jin, Q., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1819788116 · Cited by 75
3D chromatin architecture and transcription regulation in cancer
Deng, S., Feng, Y., & Pauklin, S. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01271-x · Cited by 79
Qin, Y., Grimm, S. A., Roberts, J. D., Chrysovergis, K., & Wade, P. A. (2020) · Nature Communications · doi:10.1038/s41467-020-14796-x · Cited by 67
Epigenetic modulation of a hardwired 3D chromatin landscape in two naive states of pluripotency
Atlasi, Y., Megchelenbrink, W., Peng, T., Habibi, E., Joshi, O., Wang, S.-Y., Wang, C., Logie, C., Poser, I., Marks, H., et al. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0310-9 · Cited by 62
In Situ Hi-C for Plants: An Improved Method to Detect Long-Range Chromatin Interactions
Padmarasu, S., Himmelbach, A., Mascher, M., & Stein, N. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9045-0_28 · Cited by 60
Cresswell, K. G., Stansfield, J. C., & Dozmorov, M. G. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-03652-w · Cited by 64
The Epstein-Barr Virus Episome Maneuvers between Nuclear Chromatin Compartments during Reactivation
Moquin, S. A., Thomas, S., Whalen, S., Warburton, A., Fernandez, S. G., McBride, A. A., Pollard, K. S., & Miranda, J. L. (2017) · Journal of Virology · doi:10.1128/jvi.01413-17 · Cited by 65
Schoenfelder, S., Mifsud, B., Senner, C. E., Todd, C. D., Chrysanthou, S., Darbo, E., Hemberger, M., & Branco, M. R. (2018) · Nature Communications · doi:10.1038/s41467-018-06666-4 · Cited by 54
Self-citationChromatin architecture reorganization during neuronal cell differentiation in Drosophila genomePreprint
Chathoth, K. T., & Zabet, N. R. (2019) · Genome Research · doi:10.1101/gr.246710.118 · Cited by 56
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
NF-κB–Dependent Lymphoid Enhancer Co-option Promotes Renal Carcinoma Metastasis
Rodrigues, P., Patel, S. A., Harewood, L., Olan, I., Vojtasova, E., Syafruddin, S. E., Zaini, M. N., Richardson, E. K., Burge, J., Warren, A. Y., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1211 · Cited by 56
Global in situ profiling of RNA-RNA spatial interactions with RIC-seq
Cao, C., Cai, Z., Ye, R., Su, R., Hu, N., Zhao, H., & Xue, Y. (2021) · Nature Protocols · doi:10.1038/s41596-021-00524-2 · Cited by 51
Multiscale 3D genome reorganization during skeletal muscle stem cell lineage progression and aging
Zhao, Y. F., Ding, Y., He, L., Zhou, Q., Chen, X., Li, Y., Alfonsi, M. V., Wu, Z., Sun, H., & Wang, H. (2023) · Science Advances · doi:10.1126/sciadv.abo1360 · Cited by 56
PAR-TERRA directs homologous sex chromosome pairing
Chu, H.-P. C., Froberg, J. E., Kesner, B., Oh, H. J., Ji, F., Sadreyev, R. I., Pinter, S. F., & Lee, J. T. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3432 · Cited by 51
Genome-Wide Analysis of the Arabidopsis Replication Timing Program
Concia, L., Brooks, A. M., Wheeler, E., Zynda, G. J., Wear, E. E., LeBlanc, C., Song, J., Lee, T.-J., Pascuzzi, P. E., Martienssen, R. A., et al. (2018) · PLANT PHYSIOLOGY · doi:10.1104/pp.17.01537 · Cited by 49
CTCF maintains regulatory homeostasis of cancer pathways
Aitken, S. J., Ibarra-Soria, X., Kentepozidou, E., Flicek, P., Feig, C., Marioni, J. C., & Odom, D. T. (2018) · Genome biology · doi:10.1186/s13059-018-1484-3 · Cited by 47
The macro and micro of chromosome conformation capture
Goel, V. Y., & Hansen, A. S. (2020) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.395 · 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
Chromatin interactome mapping at 139 independent breast cancer risk signals
Beesley, J., Sivakumaran, H., Marjaneh, M. M., Lima, L. G., Hillman, K. M., Kaufmann, S., Tuano, N., Hussein, N., Ham, S., Mukhopadhyay, P., et al. (2020) · Genome biology · doi:10.1186/s13059-019-1877-y · Cited by 41
Sim3C: simulation of Hi-C and Meta3C proximity ligation sequencing technologies
DeMaere, M. Z., & Darling, A. E. (2017) · GigaScience · doi:10.1093/gigascience/gix103 · Cited by 41
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
Downes, D. J., Beagrie, R. A., Gosden, M. E., Telenius, J. M., Carpenter, S. J., Nußbaum, L., Ornellas, S. D., Sergeant, M. J., Eijsbouts, C. Q., Schweßinger, R., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20809-6 · Cited by 44
QuASAR: Quality Assessment of Spatial Arrangement Reproducibility in Hi-C DataPreprint
Sauria, M. E. G., & Taylor, J. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/204438 · Cited by 40
MDM2 facilitates adipocyte differentiation through CRTC-mediated activation of STAT3
Hallenborg, P., Siersbæk, M. S., Barrio‐Hernandez, I., Nielsen, R., Kristiansen, K., Mandrup, S., Grøntved, L., & Blagoev, B. (2016) · Cell Death and Disease · doi:10.1038/cddis.2016.188 · Cited by 38
Groves, I. J., Drane, E., Michalski, M., Monahan, J., Scarpini, C. G., Smith, S. P., Bussotti, G., Várnai, C., Schoenfelder, S., Fraser, P., et al. (2021) · PLoS Pathogens · doi:10.1371/journal.ppat.1009875 · Cited by 37
Self-citationmiRNA-independent function of long noncoding pri-miRNA loci
He, D. X., Wu, D., Müller, S., Wang, L., Saha, P., Ahanger, S. H., Liu, S. J., Cui, M., Hong, S. J., Jain, M., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2017562118 · Cited by 35
Practical Analysis of Hi-C Data: Generating A/B Compartment Profiles.
Miura, H., Poonperm, R., Takahashi, S., & Hiratani, I. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8766-5_16 · Cited by 31
Iteratively improving Hi-C experiments one step at a time
Golloshi, R., Sanders, J. T., & McCord, R. P. (2018) · Methods · doi:10.1016/j.ymeth.2018.04.033 · Cited by 28
Niu, L., Shen, W., Huang, Y., He, N., Zhang, Y., Sun, J., Wan, J., Jiang, D., Yang, M., Tse, Y. C., et al. (2019) · Communications Biology · doi:10.1038/s42003-019-0519-y · Cited by 28
Johanson, T. M., Coughlan, H. D., Lun, A. T. L., Bediaga, N. G., Naselli, G., Garnham, A. L., Harrison, L. C., Smyth, G. K., & Allan, R. S. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007431 · Cited by 27
Ultraconserved Elements Occupy Specific Arenas of Three-Dimensional Mammalian Genome Organization
McCole, R. B., Erceg, J., Saylor, W., & Wu, C.-T. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.06.031 · Cited by 30
Identification of physical interactions between genomic regions by enCh IP ‐Seq
Fujita, T., Yuno, M., Suzuki, Y., Sugano, S., & Fujii, H. (2017) · Genes to Cells · doi:10.1111/gtc.12492 · Cited by 29
Sanders, J. T., Golloshi, R., Das, P., Xu, Y., Terry, P. H., Nash, D. G., Dekker, J., & McCord, R. P. (2022) · Scientific Reports · doi:10.1038/s41598-022-08602-5 · Cited by 26
Measuring the reproducibility and quality of Hi-C dataPreprint
Yardımcı, G. G., Özadam, H., Sauria, M. E. G., Ursu, O., Yan, K., Yang, T., Chakraborty, A., Kaul, A., Lajoie, B. R., Song, F., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/188755 · Cited by 28
C-TALE, a new cost-effective method for targeted enrichment of Hi-C/3C-seq libraries
Golov, A. K., Ulianov, S. V., Luzhin, A. V., Kalabusheva, E. P., Kantidze, O. L., Flyamer, I. M., Razin, S. V., & Gavrilov, A. A. (2019) · Methods · doi:10.1016/j.ymeth.2019.06.022 · Cited by 28
Liu, C. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7125-1_11 · Cited by 25
Garske, K. M., Pan, D. Z., Miao, Z., Bhagat, Y. V., Comenho, C., Robles, C. R., Benhammou, J. N., Alvarez, M., Ko, A., Ye, C., et al. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0071-6 · Cited by 22
Rodríguez, S., Scadden, A. W., Reckard, A. T., Shtanko, Y., Hull-Crew, C., & Klocko, A. D. (2022) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac053 · Cited by 18
Huang, H., Liu, J., Li, M., Guo, H., Zhu, J., Zhu, L., Wu, S., Mo, K., Huang, Y., Tan, J., et al. (2022) · Science Advances · doi:10.1126/sciadv.abo5668 · Cited by 17
Capturing Three-Dimensional Genome Organization in Individual Cells by Single-Cell Hi-C
Nagano, T., Wingett, S., & Fraser, P. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7231-9_6 · Cited by 16
Self-citationInter-chromosomal contacts demarcate genome topology along a spatial gradient
Mokhtaridoost, M., Chalmers, J. J., Soleimanpoor, M., McMurray, B. J., Lato, D. F., Nguyen, S. C., Musienko, V., Nash, J. O., Espeso‐Gil, S., Ahmed, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53983-y · Cited by 18
BAT Hi-C maps global chromatin interactions in an efficient and economical way
Huang, J. S., Jiang, Y., Zheng, H., & Ji, X. (2019) · Methods · doi:10.1016/j.ymeth.2019.08.004 · Cited by 16
Chandradoss, K. R., Guthikonda, P. K., Kethavath, S., Dass, M., Singh, H., Nayak, R., Kurukuti, S., & Sandhu, K. S. (2020) · BMC Genomics · doi:10.1186/s12864-020-6580-6 · Cited by 15
Xiao, Y., Jiao, S., He, M., Lin, D., Zuo, H., Han, J., Sun, Y., Cao, G., Chen, Z., & Liu, H. (2022) · International Journal of Oral Science · doi:10.1038/s41368-022-00194-0 · Cited by 15
Liu, X., Sun, Q., Wang, Q., Hu, C., Chen, X., Li, H., Czajkowsky, D. M., & Shao, Z. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2020.06.017 · Cited by 18
Cell type-specific interchromosomal interactions as a mechanism for transcriptional diversityPreprint
Horta, A., Monahan, K., Bashkirova, E., & Lomvardas, S. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/287532 · Cited by 14
Chromatin‐Associated RNA Sequencing (ChAR‐seq)
Jukam, D., Limouse, C., Smith, O. K., Risca, V. I., Bell, J. C., & Straight, A. F. (2019) · Current Protocols in Molecular Biology · doi:10.1002/cpmb.87 · Cited by 13
Technologies to study spatial genome organization: beyond 3C
Übelmesser, N., & Papantonis, A. (2019) · Briefings in Functional Genomics · doi:10.1093/bfgp/elz019 · Cited by 13
Golov, A. K., Abashkin, D. A., Kondratyev, N. V., Razin, S. V., Gavrilov, A. A., & Голимбет, В. Е. (2020) · Scientific Reports · doi:10.1038/s41598-020-72496-4 · Cited by 13
Metadata
- Authors
- Nagano, T., Várnai, C., Schoenfelder, S., Javierre, B.-M., Wingett, S. W., & Fraser, P.
- Affiliations
- Babraham Institute (GB)
- Corresponding author
- Nagano, Takashi
- Fraser, Peter
- ORCID
- Venue
- Genome Biology
- Published
- 2015-08-26
- Volume
- 16
- Issue
- 1
- Pages
- 175-175
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC4580221
- OpenAlex
- W2116261028
- Cited by
- 166
- References
- 26
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 8 · 2023: 8 · 2022: 11 · 2021: 20 · 2020: 17 · 2019: 23 · 2018: 25 · 2017: 27 · 2016: 12 · 2015: 5
- FWCI
- 9.99
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Genome biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Apollo (cc-by)
- Funders
- European Research Council (111608)
- BBSRC (BBS/E/B/000C0405)
- 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 › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- Hi-C, chromosome conformation capture, 3D genome organization, topologically associating domains, single-cell Hi-C
- MeSH terms
- Animals, Cell Nucleus, Cells, Cultured, Chromatin, Humans, Mice, Inbred C57BL, Genomics, Mice
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