The DOI matches its Crossref record; 71 of the 73 references it cites were found in a registry or an index.
Activation of proto-oncogenes by disruption of chromosome neighborhoods
Open accessAbstract
The spread of bad neighborhoods: Our genomes have complex three-dimensional (3D) arrangements that partition and regulate gene expression. Cancer cells frequently have their genomes grossly rearranged, disturbing this intricate 3D organization. Hnisz et al. show that the disruption of these 3D neighborhoods can bring oncogenes under the control of regulatory elements normally kept separate from them (see the Perspective by Wala and Beroukim). These novel juxtapositions can result in the inappropriate activation of oncogenes. Science , this issue p. 1454 ; see also p. 1398
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
“While genetic perturbation of CTCF binding has been shown to result in misregulation of gene expression in various cell lines and cancer9–11,28”
From Tissue-specific CTCF-cohesin-mediated chromatin architecture delimits enhancer interactions and function in vivo (2017) · cites this paper as [10]
In the citing paper
“Boundary disruption has recently been linked to cancer and diseases of limb development (Flavahan et al., 2016; Hnisz et al., 2016; Lupianez et al., 2015)”
From Disease-Associated Short Tandem Repeats Co-localize with Chromatin Domain Boundaries (2018) · cites this paper as Hnisz et al., 2016
In the citing paper
“Recent high-resolution Chromosome-Conformation-Capture sequencing studies have revealed that TAD boundaries are perturbed in rare human limb malformation diseases (Lupianez et al., 2015) and certain types of cancers (Flavahan et al., 2016; Hnisz et al., 2016), leading to enhancer miswiring and pathogenic disruption of gene expression.”
From Disease-Associated Short Tandem Repeats Co-localize with Chromatin Domain Boundaries (2018) · cites this paper as Hnisz et al., 2016
In the citing paper
“Several other studies have reported the deregulation of chromatin folding structures in different cancer types11,15,16.”
From Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (2020) · cites this paper as [15]
In the citing paper
“In a dozen loci and in multiple cell types, CRISPR/Cas9 deletion of CTCF binding sites at the anchors of insulated neighborhoods have been shown to produce changes in the expression of genes within the neighborhoods and immediately adjacent to the deleted neighborhood boundary.”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
In the citing paper
“Somatic mutations occur frequently and recurrently in the loop anchors of oncogene-containing Insulated neighborhoods in a variety of cancer cells (Figure 2E).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
In the citing paper
“Similarly, in T cell leukemia cells, ~90% of all enhancer or promoter-related DNA loops occur within insulated neighborhood boundaries (Hnisz et al., 2016).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
In the citing paper
“Silent proto-oncogenes typically occur within insulated neighborhoods and genetic modification of the neighborhood loop anchors can cause activation of these oncogenes (Flavahan et al., 2016; Hnisz et al., 2016).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
In the citing paper
“The vast majority of enhancer-gene interactions occur within insulated neighborhoods (Dowen et al., 2014; Hnisz et al., 2016; Ji et al., 2016; Phillips-Cremins et al., 2013).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
In the citing paper
“These observations are consistent with the idea that mutations that alter the loop anchor sites of oncogene-containing insulated neighborhoods make an important contribution to the misregulation of gene expression that is inherent to the cancer state (Flavahan et al., 2016; Hnisz et al., 2016; Katainen et al., 2015).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
In the citing paper
“Furthermore, chromosomal rearrangements such as translocations or deletions which activate oncogenes also disrupt insulated neighborhoods around those genes without altering the sequence of the gene itself (Groschel et al., 2014; Hnisz et al., 2016).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
In the citing paper
“Studies on insulated neighborhoods have estimated that approximately 80% of neighborhood boundaries of shared by any two cell types (Hnisz et al., 2016; Ji et al., 2016).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Hnisz et al., 2016
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
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · cited 1×
“This method yielded similar number of interactions as the correction of p-values by the Benjamini-Hochberg procedure (33) to control for multiple hypothesis testing.”
MethodUltrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · cited 2×
“1 (bowtie -e 70 -k 1 -m 1 -v 2 -p 4 --best --strata –S) (28).”
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386 · cited 4×
“CTCFChIP-seq and cohesin ChIA-PET interactions in Jurkat (T-ALL), GM12878 (lymphoblastoid), and K562 (CML) cells are displayed.”
BackgroundInfluentialMapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696 · cited 1×
“For a gene to be considered expressed the cutoff of >1 RPKM was used (50).”
MethodTopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
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 · cited 4×
“Comparison of the Jurkat T-ALL ChIA-PET interactions to interactions described in other cell types Interactions detected using Hi-C data in GM12878, HeLa, HMEC, HUVEC, IMR90, K562, KBM7 and NHEK were downloaded from a previous study (36).”
BackgroundMethodInfluentialComprehensive 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-citationVogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863 · cited 1×
“1A), and identifying such mutations in patient genomes is a major goal of cancer genomics (2, 3).”
BackgroundTopological 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 · cited 2×
“The cryptic chromosomal deletion del(11)(p12p13) as a new activation mechanism of LMO2 in pediatric T-cell acute lymphoblastic leukemia.”
BackgroundA Direct Approach to False Discovery Rates
Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603 · cited 1×
“To correct for multiple hypothesis testing, we converted all the p-values into q-values via pFDR (68) using the Bioconductor qvalue package.”
MethodCancer genes and the pathways they control
Vogelstein, B., & Kinzler, K. W. (2004) · Nature Medicine · doi:10.1038/nm1087 · Cited by 4,346 · cited 1×
“Tumor cell gene expression programs are typically driven by somatic mutations that alter the coding sequence or expression of proto-oncogenes (1) (Fig.”
BackgroundFIMO: scanning for occurrences of a given motif
Grant, C. E., Bailey, T. L., & Noble, W. S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr064 · Cited by 4,247 · cited 2×
“To rule out that the enrichment of mutations was not dependent on particular motif calling tool, we also identified CTCF motifs within the CTCF peaks using FIMO (43) with default parameters and the same JASPAR CTCF motif (Fig.”
Super-enhancers in the control of cell identity and disease
Hnisz, D., Abraham, B. J., Lee, T. I., Lau, A., Saint-André, V., Sigova, A. A., Hoke, H. A., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.09.053 · Cited by 3,662 · cited 1×
“Active oncogenes are often associated with super-enhancers (17, 18), and we found that 13 of the 27 active T-ALL Pathogenesis Genes associated with super-enhancers (Fig.”
BackgroundSelf-citationCapturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652 · cited 2×
“One major approach is based on previous studies using chromosome conformation capture methodologies that suggested that the genome has polymer-like properties such that the interaction frequency between two genomic loci decreases as a function of their linear genomic distance (34, 35).”
BackgroundMethodSelf-citationSelective Inhibition of Tumor Oncogenes by Disruption of Super-Enhancers
Lovén, J., Hoke, H. A., Lin, C. Y., Lau, A., Orlando, D. A., Vakoc, C. R., Bradner, J. E., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.036 · Cited by 2,961 · cited 3×
“High-confidence interactions between PET peaks (3 PET, > 5kb, F (18,240) CTCF-CTCF interactions (8,637) High-confidence interactions”
BackgroundMethodInfluentialSelf-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 · cited 1×
“Transcriptional enhancers normally interact with their target genes through the formation of DNA loops (5-7), which typically are constrained within larger CTCF-cohesin mediated loops called insulated neighborhoods (8-10), which in turn can form clusters that contribute to topologically associating domains (TADs) (11,…”
BackgroundSelf-citationRSeQC: quality control of RNA-seq experiments
Wang, L., Wang, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts356 · Cited by 2,753
Imaging individual mRNA molecules using multiple singly labeled probes
Raj, A., van den Bogaard, P., Rifkin, S. A., van Oudenaarden, A., & Tyagi, S. (2008) · Nature Methods · doi:10.1038/nmeth.1253 · Cited by 2,028 · cited 1×
“Single molecule mRNA fluorescence in situ hybridization (FISH) RNA FISH was performed as previously described (53).”
MethodMediator and cohesin connect gene expression and chromatin architecture
Kagey, M. H., Newman, J. J., Bilodeau, S., Zhan, Y., Orlando, D. A., van Berkum, N. L., Ebmeier, C. C., Goossens, J., Rahl, P. B., Levine, S. S., et al. (2010) · Nature · doi:10.1038/nature09380 · Cited by 1,939 · cited 2×
“Transcriptional enhancers normally interact with their target genes through the formation of DNA loops (5-7), which typically are constrained within larger CTCF-cohesin mediated loops called insulated neighborhoods (8-10), which in turn can form clusters that contribute to topologically associating domains (TADs) (11,…”
BackgroundSelf-citationGenome-wide analysis of genetic alterations in acute lymphoblastic leukaemia
Mullighan, C. G., Goorha, S., Radtke, I., Miller, C. B., Coustan‐Smith, E., Dalton, J., Girtman, K., Mathew, S., Ma, J., Pounds, S. B., et al. (2007) · Nature · doi:10.1038/nature05690 · Cited by 1,777 · cited 2×
“The deletion on the bottom indicates the minimally deleted region identified in (26).”
BackgroundMethodAn oestrogen-receptor-α-bound human chromatin interactome
Fullwood, M. J., Liu, M. H., Pan, Y. F., Liu, J., Han, X., Mohamed, Y. B., Orlov, Y. L., Velkov, S., Ho, A., Poh, H. M., et al. (2009) · Nature · doi:10.1038/nature08497 · Cited by 1,752
Molecular themes in oncogenesis
Bishop, J. M. (1991) · Cell · doi:10.1016/0092-8674(91)90636-d · Cited by 1,629 · cited 1×
“Proto-oncogenes are generally activated by mutations that result in a dominant phenotype and tumor suppressor genes are de-activated by mutations that have a recessive phenotype (69), so we filtered for the genes whose mutations are annotated as dominant in the Cancer Gene Census.”
BackgroundThe genetic basis of early T-cell precursor acute lymphoblastic leukaemia
Zhang, J., Ding, L., Holmfeldt, L., Wu, G., Heatley, S. L., Payne-Turner, D., Easton, J., Chen, X., Wang, J., Rusch, M., et al. (2012) · Nature · doi:10.1038/nature10725 · Cited by 1,596 · cited 2×
“Patient deletions described in (22) are shown as bars below the gene models.”
BackgroundWhole–genome characterization of chemoresistant ovarian cancer
Patch, A., Christie, E. L., Etemadmoghadam, D., Garsed, D. W., George, J., Fereday, S., Nones, K., Cowin, P. A., Alsop, K., Bailey, P. J., et al. (2015) · Nature · doi:10.1038/nature14410 · Cited by 1,572
The long-range interaction landscape of gene promoters
Sanyal, A., Lajoie, B. R., Jain, G., & Dekker, J. (2012) · Nature · doi:10.1038/nature11279 · Cited by 1,489 · cited 4×
“5C was performed as described (55) with the following changes.”
MethodInfluentialSelf-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
Lessons from the Cancer Genome
Garraway, L. A., & Lander, E. S. (2013) · Cell · doi:10.1016/j.cell.2013.03.002 · Cited by 1,377
DNA-Binding Specificities of Human Transcription Factors
Jolma, A., Yan, J., Whitington, T., Toivonen, J., Nitta, K. R., Rastas, P. M. A., Morgunova, E. Y., Enge, M., Taipale, M., Wei, G., et al. (2013) · Cell · doi:10.1016/j.cell.2012.12.009 · Cited by 1,262 · cited 2×
“For this analysis, we used the CTCF motif PWM identified using HT-SELEX from a previous study (67) (Fig.”
BackgroundMethodDostie, J., Richmond, T., Arnaout, R., Selzer, R. R., Lee, W. L., Honan, T., Rubio, E. D., Krumm, A., Lamb, J., Nusbaum, C., et al. (2006) · Genome Research · doi:10.1101/gr.5571506 · Cited by 1,237
Self-citationLi, G., Ruan, X., Auerbach, R. K., Sandhu, K. S., Zheng, M., Wang, P., Poh, H. M., Goh, Y., Lim, J., Zhang, J., et al. (2012) · Cell · doi:10.1016/j.cell.2011.12.014 · Cited by 1,232
Cohesin mediates transcriptional insulation by CCCTC-binding factor
Wendt, K. S., Yoshida, K., Itoh, T., Bando, M., Koch, B., Schirghuber, E., Tsutsumi, S., Nagae, G., Ishihara, K., Mishiro, T., et al. (2008) · Nature · doi:10.1038/nature06634 · Cited by 1,193 · cited 2×
“Previous studies have established that CTCF is bound at the anchor sites of chromosome loop structures, but not every CTCF-bound site in the genome is involved in looping interactions, and the CTCF-bound sites that are detected at the boundaries at looping interactions tend to be co-bound by cohesin (8, 9, 11, 24, 40,…”
BackgroundArchitectural protein subclasses shape 3D organization of genomes during lineage commitment
Phillips-Cremins, J. E., Sauria, M. E. G., Sanyal, A., Gerasimova, T. I., Lajoie, B. R., Bell, J. S. K., Ong, C.-T., Hookway, T. A., Guo, C., Sun, Y., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.053 · Cited by 1,187 · cited 2×
“Transcriptional enhancers normally interact with their target genes through the formation of DNA loops (5-7), which typically are constrained within larger CTCF-cohesin mediated loops called insulated neighborhoods (8-10), which in turn can form clusters that contribute to topologically associating domains (TADs) (11,…”
BackgroundSelf-citationChemically modified guide RNAs enhance CRISPR-Cas genome editing in human primary cells
Hendel, A., Bak, R. O., Clark, J. T., Kennedy, A. B., Ryan, D. E., Roy, S., Steinfeld, I., Lunstad, B. D., Kaiser, R. J., Wilkens, A. B., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3290 · Cited by 1,090
Self-citationCTCF: an architectural protein bridging genome topology and function
Ong, C., & Corces, V. G. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3663 · Cited by 1,088 · cited 1×
“Because control of 3D chromosome structure involves binding of specific sites by CTCF and cohesin, which is affected by protein cofactors, DNA methylation and local RNA synthesis (25), future advances in our understanding of these regulatory processes may provide new approaches to therapeutics that impact aberrant chr…”
BackgroundCroce, C. M. (2008) · New England Journal of Medicine · doi:10.1056/nejmra072367 · Cited by 1,055 · cited 1×
“Dysregulation of proto-oncogenes frequently involves mutations that bring transcriptional enhancers into proximity of these genes (4).”
BackgroundMathelier, A., Zhao, X., Zhang, A. W., Parcy, F., Worsley-Hunt, R., Arenillas, D. J., Buchman, S., Chen, C., Chou, A., Ienasescu, H., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt997 · Cited by 983
CTCF-Mediated Human 3D Genome Architecture Reveals Chromatin Topology for Transcription
Tang, Z., Luo, O. J., Li, X., Zheng, M., Zhu, J. J., Szalaj, P., Trzaskoma, P., Magalska, A., Wlodarczyk, J., Ruszczycki, B., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.024 · Cited by 982 · cited 1×
“The ChIA-PET technique generates a high-resolution (~5kb) chromatin interaction map of sites in the genome bound by a specific protein factor (8, 15, 16).”
MethodCohesins Functionally Associate with CTCF on Mammalian Chromosome Arms
Parelho, V., Hadjur, S., Spivakov, M., Leleu, M., Sauer, S., Gregson, H. C., Jarmuz, A., Canzonetta, C., Webster, Z., Nesterova, T., et al. (2008) · Cell · doi:10.1016/j.cell.2008.01.011 · Cited by 900
Control of cell identity genes occurs in insulated neighborhoods in mammalian chromosomes
Dowen, J. M., Fan, Z. P., Hnisz, D., Ren, G., Abraham, B. J., Zhang, L. N., Weintraub, A. S., Schuijers, J., Lee, T. I., Zhao, K., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.030 · Cited by 884 · cited 6×
“Transcriptional enhancers normally interact with their target genes through the formation of DNA loops (5-7), which typically are constrained within larger CTCF-cohesin mediated loops called insulated neighborhoods (8-10), which in turn can form clusters that contribute to topologically associating domains (TADs) (11,…”
BackgroundMethodInfluentialSelf-citationThe genomic landscape of hypodiploid acute lymphoblastic leukemia
Holmfeldt, L., Wei, L., Díaz-Flores, E., Walsh, M. F., Zhang, J., Ding, L., Payne-Turner, D., Churchman, M. L., Andersson, A., Chen, S.-C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2532 · Cited by 738
Chromatin immunoprecipitation and microarray-based analysis of protein location
Lee, T. I., Johnstone, S. E., & Young, R. A. (2006) · Nature Protocols · doi:10.1038/nprot.2006.98 · Cited by 735
Self-citationThe Hierarchy of the 3D Genome
Gibcus, J. H., & Dekker, J. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.02.011 · Cited by 727 · cited 2×
“Transcriptional enhancers normally interact with their target genes through the formation of DNA loops (5-7), which typically are constrained within larger CTCF-cohesin mediated loops called insulated neighborhoods (8-10), which in turn can form clusters that contribute to topologically associating domains (TADs) (11,…”
BackgroundSelf-citationCTCF-mediated functional chromatin interactome in pluripotent cells
Handoko, L., Han, X., Li, G., Ngan, C. Y., Chew, E. G. Y., Schnapp, M., Lee, C. W. H., Ye, C., Ping, J. L. H., Mulawadi, F. H., et al. (2011) · Nature Genetics · doi:10.1038/ng.857 · Cited by 646 · cited 2×
“Previous studies have established that CTCF is bound at the anchor sites of chromosome loop structures, but not every CTCF-bound site in the genome is involved in looping interactions, and the CTCF-bound sites that are detected at the boundaries at looping interactions tend to be co-bound by cohesin (8, 9, 11, 24, 40,…”
BackgroundRevisiting Global Gene Expression Analysis
Lovén, J., Orlando, D. A., Sigova, A. A., Lin, C. Y., Rahl, P. B., Burge, C. B., Levens, D. L., Lee, T. I., & Young, R. A. (2012) · Cell · doi:10.1016/j.cell.2012.10.012 · Cited by 616
Self-citationCTCF physically links cohesin to chromatin
Rubio, E. D., Reiss, D. J., Welcsh, P. L., Disteche, C. M., Filippova, G. N., Baliga, N. S., Aebersold, R., Ranish, J. A., & Krumm, A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801273105 · Cited by 511 · cited 2×
“Previous studies have established that CTCF is bound at the anchor sites of chromosome loop structures, but not every CTCF-bound site in the genome is involved in looping interactions, and the CTCF-bound sites that are detected at the boundaries at looping interactions tend to be co-bound by cohesin (8, 9, 11, 24, 40,…”
BackgroundThe molecular basis of T cell acute lymphoblastic leukemia
Vlierberghe, P. V., & Ferrando, A. A. (2012) · Journal of Clinical Investigation · doi:10.1172/jci61269 · Cited by 489 · cited 2×
“The LMO2 gene encodes a transcription factor that is overexpressed and oncogenic in some forms of T-ALL (14, 20).”
BackgroundConvergence of Developmental and Oncogenic Signaling Pathways at Transcriptional Super-Enhancers
Hnisz, D., Schuijers, J., Lin, C. Y., Weintraub, A. S., Abraham, B. J., Lee, T. I., Bradner, J. E., & Young, R. A. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.02.014 · Cited by 476
Self-citationCTCF/cohesin-binding sites are frequently mutated in cancer
Katainen, R., Dave, K., Pitkänen, E., Palin, K., Kivioja, T., Välimäki, N., Gylfe, A. E., Ristolainen, H., Hänninen, U. A., Cajuso, T., et al. (2015) · Nature Genetics · doi:10.1038/ng.3335 · Cited by 447 · cited 1×
“A recent study noted that mutations in CTCF binding sites occur frequently in cancers (23), but it is unclear if mutations in boundaries are common as only a subset of CTCF sites form insulated neighborhoods (8, 10, 24).”
Background3D Chromosome Regulatory Landscape of Human Pluripotent Cells
Ji, X., Dadon, D. B., Powell, B. E., Fan, Z. P., Borges-Rivera, D., Shachar, S., Weintraub, A. S., Hnisz, D., Pegoraro, G., Lee, T. I., et al. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2015.11.007 · Cited by 400 · cited 4×
“Transcriptional enhancers normally interact with their target genes through the formation of DNA loops (5-7), which typically are constrained within larger CTCF-cohesin mediated loops called insulated neighborhoods (8-10), which in turn can form clusters that contribute to topologically associating domains (TADs) (11,…”
BackgroundInfluentialSelf-citationPapaemmanuil, E., Rapado, I., Li, Y., Potter, N. E., Wedge, D. C., Tubío, J. M. C., Alexandrov, L. B., Loo, P. V., Cooke, S. L., Marshall, J., et al. (2014) · Nature Genetics · doi:10.1038/ng.2874 · Cited by 393 · cited 1×
“T-ALL deletion catalog and overlap analysis Deletions in T-ALL genomes were compiled from multiple studies (22, 26, 59, 60).”
MethodThe 3D genome in transcriptional regulation and pluripotency
Gorkin, D. U., Leung, D., & Ren, B. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.05.017 · Cited by 391 · cited 2×
“Transcriptional enhancers normally interact with their target genes through the formation of DNA loops (5-7), which typically are constrained within larger CTCF-cohesin mediated loops called insulated neighborhoods (8-10), which in turn can form clusters that contribute to topologically associating domains (TADs) (11,…”
BackgroundMolecular Genetics of Acute Lymphoblastic Leukemia
Armstrong, S. A., & Look, A. T. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.05.047 · Cited by 372 · cited 1×
“A T-cell acute lymphoblastic leukemia (TALL) cell (Jurkat) was selected for these studies because key T-ALL oncogenes and genetic alterations are well-known (13, 14).”
BackgroundSite‐specific recombination of the tal‐1 gene is a common occurrence in human T cell leukemia.
Brown, J. L., Cheng, J. T., Chen, Q., Siciliano, M. J., Crist, W., Buchanan, G., & Baer, R. J. (1990) · The EMBO Journal · doi:10.1002/j.1460-2075.1990.tb07535.x · Cited by 342 · cited 4×
“Several patient deletions, however, retained the TAL1 promoter SCIENCE sciencemag.org 25 MARCH 2016 • VOL 351 ISSUE 6280 1455 TAL1 9 8 ChIA-PET interactions: 40k 10 kb CTCF H3K27Ac RNA-Seq 72 kb 9 8 ChIA-PET interactions: 40k 115 kb 10 kb CTCF H3K27Ac RNA-Seq LMO2 Insulated neighborhood: Insulated neighborhood: LMO2 C…”
BackgroundInfluentialKieffer-Kwon, K.-R., Tang, Z., Mathé, E. A., Qian, J., Sung, M., Li, G., Resch, W., Baek, S., Pruett, N. D., Grøntved, L., et al. (2013) · Cell · doi:10.1016/j.cell.2013.11.039 · Cited by 337
ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing
Li, G., Fullwood, M. J., Han, X., Mulawadi, F. H., Velkov, S., Vega, V. B., Ariyaratne, P. N., Mohamed, Y. B., Ooi, H.-S., Tennakoon, C., et al. (2010) · Genome biology · doi:10.1186/gb-2010-11-2-r22 · Cited by 323 · cited 3×
“pipeline was adapted from a previous report (8) and was recently developed based on multiple previous studies (15, 32, 39).”
MethodInfluentialGenetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal Interactions
Grubert, F., Zaugg, J. B., Kasowski, M., Ursu, O., Spacek, D. V., Martin, A. R., Greenside, P., Srivas, R., Phanstiel, D. H., Pekowska, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.048 · Cited by 319 · cited 3×
“We have analyzed our ChIA-PET data using two analytical approaches: one that estimates the background contact frequency based on the genomic proximity bias (Mango pipeline) adapted from previous reports (24, 30, 40), and an analytical approach that estimates the background contact frequency based on the ligation frequ…”
BackgroundMethodSeitan, V. C., Faure, A. J., Zhan, Y., McCord, R. P., Lajoie, B. R., Ing-Simmons, E., Lenhard, B., Giorgetti, L., Heard, E., Fisher, A. G., et al. (2013) · Genome Research · doi:10.1101/gr.161620.113 · Cited by 318 · cited 3×
“at the CD3 and GATA3 loci (41, 42) (Table S2A-B).”
BackgroundSelf-citationRoss-Innes, C. S., Becq, J., Warren, A., Cheetham, R. K., Northen, H., O’Donovan, M., Malhotra, S., di Pietro, M., Ivakhno, S., He, M., et al. (2015) · Nature Genetics · doi:10.1038/ng.3357 · Cited by 293
Genome-wide map of regulatory interactions in the human genome
Heidari, N., Phanstiel, D. H., He, C., Grubert, F., Jahanbani, F., Kasowski, M., Zhang, M. Q., & Snyder, M. P. (2014) · Genome Research · doi:10.1101/gr.176586.114 · Cited by 278 · cited 2×
“A recent study noted that mutations in CTCF binding sites occur frequently in cancers (23), but it is unclear if mutations in boundaries are common as only a subset of CTCF sites form insulated neighborhoods (8, 10, 24).”
BackgroundExploring long-range genome interactions using the WashU Epigenome Browser
Zhou, X., Lowdon, R. F., Li, D., Lawson, H. A., Madden, P. A. F., Costello, J., & Wang, T. (2013) · Nature Methods · doi:10.1038/nmeth.2440 · Cited by 209
Analysis of long-range chromatin interactions using Chromosome Conformation Capture
Naumova, N., Smith, E. M., Zhan, Y., & Dekker, J. (2012) · Methods · doi:10.1016/j.ymeth.2012.07.022 · Cited by 183 · cited 1×
“Generation of 5C libraries 3C was performed with HindIII restriction enzyme as previously described with some minor modifications (34, 57).”
MethodSelf-citationVlierberghe, P. V., van Grotel, M., Beverloo, H. B., Lee, C., Helgason, T., Buijs-Gladdines, J. G. C. A. M., Passier, M., van Wering, E. R., Veerman, A. J. P., Kamps, W. A., et al. (2006) · Blood · doi:10.1182/blood-2006-04-019927 · Cited by 178 · cited 13×
“3G); a previous study proposed that deletion of cryptic repressors located in the deleted region enables activation of LMO2 (21).”
BackgroundInfluentialMechanisms of transcription factor deregulation in lymphoid cell transformation
O’Neil, J., & Look, A. T. (2007) · Oncogene · doi:10.1038/sj.onc.1210766 · Cited by 128 · cited 2×
“The LMO2 gene encodes a transcription factor that is overexpressed and oncogenic in some forms of T-ALL (14, 20).”
BackgroundMango: a bias-correcting ChIA-PET analysis pipeline
Phanstiel, D. H., Boyle, A. P., Heidari, N., & Snyder, M. P. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv336 · Cited by 114 · cited 5×
“Several computational pipelines have thus been developed to estimate background contact frequencies based on this “genomic proximity bias,” both for chromosome conformation capture data (35, 36) and ChIA-PET data (30, 37).”
BackgroundMethodInfluentialMy5C: web tools for chromosome conformation capture studies
Lajoie, B. R., van Berkum, N. L., Sanyal, A., & Dekker, J. (2009) · Nature Methods · doi:10.1038/nmeth1009-690 · Cited by 89 · cited 2×
“5C read mapping Sequencing data were obtained from both an Illumina MiSeq and an Illumina HiSeq 2000 machine and was processed by a custom pipeline to map and assemble 5C interactions, as previously described (55, 56).”
MethodSelf-citationWang, J., Li, J.-W., Wang, X.-C., Zheng, C., & Ma, W.-D. (2013) · Biochemical and Biophysical Research Communications - BBRC · doi:10.1016/j.bbrc.2013.08.032 · Cited by 81 · cited 1×
“4G, 4H) the following evidence indicated activation of the genes in the cancer types the mutations were documented in: FGFR1 was found overexpressed in liver carcinoma in previous studies (70, 71).”
BackgroundA statistical model of ChIA-PET data for accurate detection of chromatin 3D interactions
Paulsen, J., Rødland, E. A., Holden, L., Holden, M., & Hovig, E. J. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku738 · Cited by 61 · cited 1×
“Several computational pipelines have thus been developed to estimate background contact frequencies based on this “genomic proximity bias,” both for chromosome conformation capture data (35, 36) and ChIA-PET data (30, 37).”
MethodFrom cells to chromatin: Capturing snapshots of genome organization with 5C technology
Ferraiuolo, M. A., Sanyal, A., Naumova, N., Dekker, J., & Dostie, J. (2012) · Methods · doi:10.1016/j.ymeth.2012.10.011 · Cited by 55
Self-citationAn NK and T Cell Enhancer Lies 280 Kilobase Pairs 3′ to the Gata3 Structural Gene
Hosoya-Ohmura, S., Lin, Y.-H., Herrmann, M., Kuroha, T., Rao, A. U. K., Moriguchi, T., Lim, K.-C., Hosoya, T., & Engel, J. D. (2011) · Molecular and Cellular Biology · doi:10.1128/mcb.05065-11 · Cited by 45 · cited 1×
“at the CD3 and GATA3 loci (41, 42) (Table S2A-B).”
BackgroundChromatin looping defines expression of TAL1, its flanking genes, and regulation in T-ALL
Zhou, Y., Kurukuti, S., Saffrey, P., Vukovic, M., Michie, A. M., Strogantsev, R., West, A. G., & Vetrie, D. L. P. (2013) · Blood · doi:10.1182/blood-2013-02-483875 · Cited by 34
Kwon, J., Lee, N., Park, J. Y., Yu, Y. S., Kim, J. P., Shin, J. H., Kim, D., Joh, J., Kim, D. S., Choi, K. Y., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064260 · Cited by 19
Flagged first, then by citations
2 of the 73 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- 10.1016/0092-8674(91)90636-D · DOI
Cited by
Sorted by citations
Coactivator condensation at super-enhancers links phase separation and gene control
Sabari, B. R., Dall’Agnese, A., Boija, A., Klein, I. A., Coffey, E. L., Shrinivas, K., Abraham, B. J., Hannett, N. M., Zamudio, A. V., Manteiga, J. C., et al. (2018) · Science · doi:10.1126/science.aar3958 · Cited by 2,595
Self-citationHiGlass: web-based visual exploration and analysis of genome interaction maps
Kerpedjiev, P., Abdennur, N. A., Lekschas, F., McCallum, C., Dinkla, K., Strobelt, H., Luber, J. M., Ouellette, S., Azhir, A., Kumar, N., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1486-1 · Cited by 2,430
Nora, E. P., Goloborodko, A., Valton, A.-L., Gibcus, J. H., Uebersohn, A., Abdennur, N., Dekker, J., Mirny, L. A., & Bruneau, B. G. (2017) · Cell · doi:10.1016/j.cell.2017.05.004 · Cited by 1,709
“This highlights the crucial role of boundaries in mediating the physical insulation of neighboring chromosome domains, with important implications for disease-causing chromosomal rearrangements in humans (Flavahan et al., 2016; Franke et al., 2016; Hnisz et al., 2016).”
Self-citationA Phase Separation Model for Transcriptional Control
Hnisz, D., Shrinivas, K., Young, R. A., Chakraborty, A. K., & Sharp, P. A. (2017) · Cell · doi:10.1016/j.cell.2017.02.007 · Cited by 1,753
Self-citationEpigenetic plasticity and the hallmarks of cancer
Flavahan, W. A., Gaskell, E., & Bernstein, B. E. (2017) · Science · doi:10.1126/science.aal2380 · Cited by 1,340
“Indeed, frequentmutations of CTCFmotifs in the vicinity of oncogenes have been reported in colorectal, liver, and esophageal cancer (50, 51).”
Background
Metadata
- Authors
- Hnisz, D., Weintraub, A. S., Day, D. S., Valton, A.-L., Bak, R. O., Li, C. H., Goldmann, J., Lajoie, B. R., Fan, Z. P., Sigova, A. A., Reddy, J., Borges-Rivera, D., Lee, T. I., Jaenisch, R., Porteus, M. H., Dekker, J., & Young, R. A.
- Affiliations
- Whitehead Institute for Biomedical Research (US)
- University of Massachusetts Chan Medical School (US)
- Stanford Medicine (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Hnisz, Denes
- Weintraub, Abraham S.
- Young, Richard A.
- ORCID
- Venue
- Science
- Published
- 2016-03-25
- Volume
- 351
- Issue
- 6280
- Pages
- 1454-1458
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4884612
- OpenAlex
- W2303393194
- Cited by
- 1,042
- References
- 73
- Citations by year
- 2026: 48 · 2025: 67 · 2024: 90 · 2023: 106 · 2022: 90 · 2021: 124 · 2020: 129 · 2019: 132 · 2018: 102 · 2017: 104 · 2016: 48
- FWCI
- 66.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship@UMassChan (submittedVersion)
- HAL (submittedVersion)
- Funders
- Austrian Science Fund (J3490)
- Ludwig Graduate Fellowship
- Laurie Kraus Lacob Faculty Scholar Award in Pediatric Translational Research
- Hyundai Hope on Wheels
- Danish Council for Independent Research, Medical Sciences
- Sapere Aude Research Talent (DFF-1331-00735B)
- National Human Genome Research Institute (R01 HG003143, U54 HG007010, U01 HG007910)
- National Cancer Institute (U54 CA193419)
- NIH (HG002668, CA109901, NS088538, MH104610, AI120766, U54 DK107980, U01 DA 040588)
- National Institute of General Medical Sciences (R01 GM 112720)
- National Institute of Allergy and Infectious Diseases (U01 R01 AI 117839)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- proto-oncogenes, oncogene activation, T-cell acute lymphoblastic leukemia, microdeletion, chromosome structure, cancer genetics, gene expression regulation
- MeSH terms
- Chromosome Aberrations, Chromosome Mapping, Humans, Mutation, Proto-Oncogenes, Translocation, Genetic, Transcriptional Activation, Gene Expression Regulation, Leukemic, Sequence Deletion, Precursor T-Cell Lymphoblastic Leukemia-Lymphoma, HEK293 Cells
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