The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
The transcription factor Grainy head primes epithelial enhancers for spatiotemporal activation by displacing nucleosomes
Open accessAbstract
Transcriptional enhancers function as docking platforms for combinations of transcription factors (TFs) to control gene expression. How enhancer sequences determine nucleosome occupancy, TF recruitment and transcriptional activation in vivo remains unclear. Using ATAC-seq across a panel of Drosophila inbred strains, we found that SNPs affecting binding sites of the TF Grainy head (Grh) causally determine the accessibility of epithelial enhancers. We show that deletion and ectopic expression of Grh cause loss and gain of DNA accessibility, respectively. However, although Grh binding is necessary for enhancer accessibility, it is insufficient to activate enhancers. Finally, we show that human Grh homologs-GRHL1, GRHL2 and GRHL3-function similarly. We conclude that Grh binding is necessary and sufficient for the opening of epithelial enhancers but not for their activation. Our data support a model positing that complex spatiotemporal expression patterns are controlled by regulatory hierarchies in which pioneer factors, such as Grh, establish tissue-specific accessible chromatin landscapes upon which other factors can act.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Thus, a potentially large fraction of accessible regions, as captured by scATAC-seq, may not represent functional enhancers.”
From Enhancer grammar of liver cell types and hepatocyte zonation states (2022) · cites this paper as [9]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The mechanisms of pioneer factor action are still being established [37], but at least some of them (such as FOXA, OCT4 and SOX2/SOX11) have been shown to initiate chromatin opening by direct displacement of histones [38–41], whilst many others recruit chromatin remodelers [42–50].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [41]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“However, chromatin accessibility is not necessarily always associated with enhancer activity35.”
From Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation (2024) · cites this paper as [35]
The cited source says what the claim attributes to it.
In the citing paper
“chromatin accessibility is necessary but not sufficient for activity9.”
From Enhancer grammar of liver cell types and hepatocyte zonation states (2022) · cites this paper as [9]
The cited source says what the claim attributes to it.
In the citing paper
“chromatin accessibility is not necessarily always associated with enhancer activity9.”
From Enhancer grammar of liver cell types and hepatocyte zonation states (2022) · cites this paper as [9]
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
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
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
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
The variant call format and VCFtools
Danecek, P., Auton, A., Abecasis, G. R., Albers, C. A., Banks, E., DePristo, M. A., Handsaker, R. E., Lunter, G. A., Marth, G., Sherry, S. T., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr330 · Cited by 16,450
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697
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
EMBOSS: the European molecular biology open software suite.
Rice, P., Longden, I., & Bleasby, A. (2000) · Trends in Genetics · doi:10.1016/s0168-9525(00)02024-2 · Cited by 9,466
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
Core Transcriptional Regulatory Circuitry in Human Embryonic Stem Cells
Boyer, L. A., Lee, T. I., Cole, M. F., Johnstone, S. E., Levine, S. S., Zucker, J. P., Guenther, M. G., Kumar, R. M., Murray, H. L., Jenner, R. G., et al. (2005) · Cell · doi:10.1016/j.cell.2005.08.020 · Cited by 4,505
Using RepeatMasker to Identify Repetitive Elements in Genomic Sequences
Tarailo‐Graovac, M., & Chen, N. (2009) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi0410s25 · Cited by 3,429
An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
Corces, M. R., Trevino, A. E., Hamilton, E. G., Greenside, P. G., Sinnott-Armstrong, N. A., Vesuna, S., Satpathy, A. T., Rubin, A. J., Montine, K. S., Wu, B., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4396 · Cited by 2,496
The ENCODE (ENCyclopedia Of DNA Elements) Project
(2004) · Science · doi:10.1126/science.1105136 · Cited by 2,390
Single-cell chromatin accessibility reveals principles of regulatory variation
Buenrostro, J. D., Wu, B., Litzenburger, U. M., Ruff, D., Gonzales, M. L., Snyder, M. P., Chang, H. Y., & Greenleaf, W. J. (2015) · Nature · doi:10.1038/nature14590 · Cited by 2,308
BEDTools: The Swiss‐Army Tool for Genome Feature Analysis
Quinlan, A. R. (2014) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1112s47 · Cited by 2,286
Transcription factors: from enhancer binding to developmental control
Spitz, F., & Furlong, E. E. M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3207 · Cited by 2,227
The NIH Roadmap Epigenomics Mapping Consortium
Bernstein, B. E., Stamatoyannopoulos, J. A., Costello, J. F., Ren, B., Milosavljevic, A., Meissner, A., Kellis, M., Marra, M. A., Beaudet, A. L., Ecker, J. R., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1010-1045 · Cited by 1,892
A comparative encyclopedia of DNA elements in the mouse genome
Yue, F., Cheng, Y., Breschi, A., Vierstra, J., Wu, W., Ryba, T., Sandstrom, R., Ma, Z., Davis, C., Pope, B. D., et al. (2014) · Nature · doi:10.1038/nature13992 · Cited by 1,781
chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data
Schep, A. N., Wu, B., Buenrostro, J. D., & Greenleaf, W. J. (2017) · Nature Methods · doi:10.1038/nmeth.4401 · Cited by 1,680
The Drosophila melanogaster Genetic Reference Panel
Mackay, T. F. C., Richards, S., Stone, E. A., Barbadilla, A., Ayroles, J. F., Zhu, D., Casillas, S., Han, Y., Magwire, M. M., Cridland, J. M., et al. (2012) · Nature · doi:10.1038/nature10811 · Cited by 1,654
Pioneer transcription factors: establishing competence for gene expression
Zaret, K. S., & Carroll, J. S. (2011) · Genes & Development · doi:10.1101/gad.176826.111 · Cited by 1,589
Mutations affecting the pattern of the larval cuticle inDrosophila melanogaster
N�sslein-Volhard, C., Wieschaus, E. F., & Kluding, H. (1984) · Development Genes and Evolution · doi:10.1007/bf00848156 · Cited by 1,552
Robertson, G., Hirst, M., Bainbridge, M., Bilenky, M., Zhao, Y., Zeng, T., Euskirchen, G., Bernier, B., Varhol, R., Delaney, A., et al. (2007) · Nature Methods · doi:10.1038/nmeth1068 · Cited by 1,454
Transcriptional enhancers: from properties to genome-wide predictions
Shlyueva, D., Stampfel, G., & Stark, A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3682 · Cited by 1,356
The Logic of Inductive Inference
Fisher, R. A. (1935) · Journal Of The Royal Statistical Society · doi:10.2307/2342435 · Cited by 1,308
Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE
Roy, S., Ernst, J., Kharchenko, P. V., Kheradpour, P., Nègre, N., Eaton, M. L., Landolin, J. M., Bristow, C. A., Ma, L., Lin, M. F., et al. (2010) · Science · doi:10.1126/science.1198374 · Cited by 1,242
The DNA-encoded nucleosome organization of a eukaryotic genome
Kaplan, N., Moore, I. K., Fondufe‐Mittendorf, Y. N., Gossett, A. J., Tillo, D., Field, Y., LeProust, E. M., Hughes, T. R., Lieb, J. D., Widom, J., et al. (2008) · Nature · doi:10.1038/nature07667 · Cited by 1,207
Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq
Arnold, C. D., Gerlach, D., Stelzer, C., Boryń, Ł. M., Rath, M., & Stark, A. (2013) · Science · doi:10.1126/science.1232542 · Cited by 1,125
Tools for neuroanatomy and neurogenetics in Drosophila
Pfeiffer, B. D., Jenett, A., Hammonds, A. S., Ngo, T.-T. B., Misra, S., Murphy, C., Scully, A. L., Carlson, J. W., Wan, K. H., Laverty, T., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803697105 · Cited by 996
Luo, L., Liao, Y. J., Jan, L. Y., & Jan, Y. N. (1994) · Genes & Development · doi:10.1101/gad.8.15.1787 · Cited by 976
124: The Logic of Inductive Inference.
Fisher, R. A. (1935) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 881
Pioneer Transcription Factors Target Partial DNA Motifs on Nucleosomes to Initiate Reprogramming
Soufi, A., Garcia, M. F., Jaroszewicz, A., Osman, N., Pellegrini, M., & Zaret, K. S. (2015) · Cell · doi:10.1016/j.cell.2015.03.017 · Cited by 780
Visualization of a Correlation Matrix [R package corrplot version 0.84]
Wei, T., & Šimko, V. (2017) · Cited by 726
Melnikov, A., Murugan, A., Zhang, X., Tesileanu, T., Wang, L., Rogov, P., Feizi, S., Gnirke, A., Callan, C. G., Kinney, J. B., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2137 · Cited by 711
Determinants of nucleosome positioning
Struhl, K., & Segal, E. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2506 · Cited by 696
Huang, W., Massouras, A., Inoue, Y., Peiffer, J., Ràmia, M., Tarone, A. M., Turlapati, L., Zichner, T., Zhu, D., Lyman, R. F., et al. (2014) · Genome Research · doi:10.1101/gr.171546.113 · Cited by 661
Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures
Stark, A., Lin, M. F., Kheradpour, P., Pedersen, J. S., Parts, L., Carlson, J. W., Crosby, M. A., Rasmussen, M. D., Roy, S., Deoras, A. N., et al. (2007) · Nature · doi:10.1038/nature06340 · Cited by 640
Self-citationSong, L., & Crawford, G. E. (2010) · Cold Spring Harbor Protocols · doi:10.1101/pdb.prot5384 · Cited by 636
DNase I sensitivity QTLs are a major determinant of human expression variation
Degner, J. F., Pai, A. A., Piqué-Regi, R., Veyrieras, J., Gaffney, D. J., Pickrell, J. K., Leon, S. D., Michelini, K., Lewellen, N., Crawford, G. E., et al. (2012) · Nature · doi:10.1038/nature10808 · Cited by 630
Pioneer transcription factors in cell reprogrammingPreprint
Iwafuchi, M., & Zaret, K. S. (2014) · Genes & Development · doi:10.1101/gad.253443.114 · Cited by 613
Emerging properties of animal gene regulatory networks
Davidson, E. H. (2010) · Nature · doi:10.1038/nature09645 · Cited by 579
FlyBase at 25: looking to the future
Gramates, L. S., Marygold, S. J., dos Santos, G., Urbano, J.-M., Antonazzo, G., Matthews, B. B., Rey, A. J., Tabone, C. J., Crosby, M. A., Emmert, D. B., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1016 · Cited by 539
Massively parallel functional dissection of mammalian enhancers in vivo
Patwardhan, R. P., Hiatt, J. B., Witten, D. M., Kim, M. J., Smith, R. P., May, D., Lee, C., Andrie, J. M., Lee, S.-I., Cooper, G. M., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2136 · Cited by 536
ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors
Schmidl, C., Rendeiro, A. F., Sheffield, N. C., & Bock, C. (2015) · Nature Methods · doi:10.1038/nmeth.3542 · Cited by 509
Transcription Factors Bind Thousands of Active and Inactive Regions in the Drosophila Blastoderm
Li, X., MacArthur, S., Bourgon, R., Nix, D. A., Pollard, D. A., Iyer, V. N., Hechmer, A., Simirenko, L., Stapleton, M., Hendriks, C. L. L., et al. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060027 · Cited by 485
The zinc-finger protein Zelda is a key activator of the early zygotic genome in Drosophila
Liang, H.-L., Nien, C.-Y., Liu, H.-Y., Metzstein, M. M., Kirov, N., & Rushlow, C. (2008) · Nature · doi:10.1038/nature07388 · Cited by 478
STAMP: a web tool for exploring DNA-binding motif similarities
Mahony, S., & Benos, P. V. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm272 · Cited by 467
Genome-scale functional characterization of Drosophila developmental enhancers in vivo
Kvon, E. Z., Kazmar, T., Stampfel, G., Yáñez-Cuna, J. O., Pagani, M., Schernhuber, K., Dickson, B. J., & Stark, A. (2014) · Nature · doi:10.1038/nature13395 · Cited by 456
seqMINER: an integrated ChIP-seq data interpretation platform
Ye, T., Krebs, A. R., Choukrallah, M.-A., Keime, C., Plewniak, F., Davidson, I., & Tora, L. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1287 · Cited by 432
Sox2, a key factor in the regulation of pluripotency and neural differentiation
Zhang, S. (2014) · World Journal of Stem Cells · doi:10.4252/wjsc.v6.i3.305 · Cited by 426
Evaluation of methods for modeling transcription factor sequence specificity
DREAM5 Consortium, Weirauch, M. T., Cote, A., Norel, R., Annala, M., Zhao, Y., Riley, T. R., Saez-Rodriguez, J., Cokelaer, T., Vedenko, A., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2486 · Cited by 381
FlyMine: an integrated database for Drosophila and Anopheles genomics
Lyne, R., Smith, R. N., Rutherford, K., Wakeling, M. N., Varley, A., Guillier, F., Janssens, H., Ji, W., Mclaren, P., North, P., et al. (2007) · Genome biology · doi:10.1186/gb-2007-8-7-r129 · Cited by 372
Combinatorial function of transcription factors and cofactors
Reiter, F., Wienerroither, S., & Stark, A. (2017) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.12.007 · Cited by 366
DNA Methylation Detection: Bisulfite Genomic Sequencing Analysis
Li, Y., & Tollefsbol, T. O. (2011) · Methods in Molecular Biology · doi:10.1007/978-1-61779-316-5_2 · Cited by 352
Cluster-Buster: finding dense clusters of motifs in DNA sequences
Frith, M. C. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg540 · Cited by 323
High-resolution genome-wide in vivo footprinting of diverse transcription factors in human cellsPreprint
Boyle, A. P., Song, L., Lee, B., London, D., Keefe, D., Birney, E., Iyer, V. R., Crawford, G. E., & Furey, T. S. (2010) · Genome Research · doi:10.1101/gr.112656.110 · Cited by 313
Transcriptional enhancers: Intelligent enhanceosomes or flexible billboards?
Arnosti, D. N., & Kulkarni, M. M. (2005) · Journal of Cellular Biochemistry · doi:10.1002/jcb.20352 · Cited by 309
An Epidermal Barrier Wound Repair Pathway in Drosophila Is Mediated by grainy head
Mace, K. A., Pearson, J. C., & McGinnis, W. J. (2005) · Science · doi:10.1126/science.1107573 · Cited by 250
RSAT peak-motifs: motif analysis in full-size ChIP-seq datasets
Thomas‐Chollier, M., Herrmann, C., Defrance, M., Sand, O., Thieffry, D., & van Helden, J. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1104 · Cited by 245
Cirillo, L. A., & Zaret, K. S. (1999) · Molecular Cell · doi:10.1016/s1097-2765(00)80225-7 · Cited by 243
Detection of cis -element clusters in higher eukaryotic DNA
Frith, M. C., Hansen, U. M., & Weng, Z. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.10.878 · Cited by 240
Fine-mapping cellular QTLs with RASQUAL and ATAC-seq
Kumasaka, N., Knights, A. J., & Gaffney, D. J. (2015) · Nature Genetics · doi:10.1038/ng.3467 · Cited by 240
Propeller-Twisting of Base-pairs and the Conformational Mobility of Dinucleotide Steps in DNA
Hassan, M. A. E., & Calladine, C. R. (1996) · Journal of Molecular Biology · doi:10.1006/jmbi.1996.0304 · Cited by 229
Herrmann, C., de Sande, B. V., Potier, D., & Aerts, S. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks543 · Cited by 211
Self-citationBarozzi, I., Simonatto, M., Bonifacio, S., Yang, L., Rohs, R., Ghisletti, S., & Natoli, G. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.04.006 · Cited by 209
i-cisTarget 2015 update: generalized cis-regulatory enrichment analysis in human, mouse and fly
Imrichová, H., Hulselmans, G., Kalender Atak, Z., Potier, D., & Aerts, S. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv395 · Cited by 202
Self-citationDavie, K., Jacobs, J., Atkins, M., Potier, D., Christiaens, V., Halder, G. A., & Aerts, S. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1004994 · Cited by 164
Self-citationWilanowski, T., Tuckfield, A., Cerruti, L., O’Connell, S., Saint, R. B., Parekh, V., Tao, J., Cunningham, J. M., & Jane, S. M. (2002) · Mechanisms of Development · doi:10.1016/s0925-4773(02)00046-1 · Cited by 152
Chung, V. Y., Tan, T. Z., Tan, M., Wong, M. K., Kuay, K. T., Yang, Z., Ye, J., Müller, J., Koh, C. M., Guccione, E., et al. (2016) · Scientific Reports · doi:10.1038/srep19943 · Cited by 152
Zelda Potentiates Morphogen Activity by Increasing Chromatin Accessibility
Foo, S. M., Sun, Y., Lim, B., Ziukaite, R., O’Brien, K. M., Nien, C.-Y., Kirov, N., Shvartsman, S. Y., & Rushlow, C. A. (2014) · Current Biology · doi:10.1016/j.cub.2014.04.032 · Cited by 134
Castro-Mondragon, J. A., Jaeger, S., Thieffry, D., Thomas‐Chollier, M., & van Helden, J. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx314 · Cited by 128
Different combinations of gap repressors for common stripes in Anopheles and Drosophila embryos
Goltsev, Y., Hsiong, W., Lanzaro, G. C., & Levine, M. (2004) · Developmental Biology · doi:10.1016/j.ydbio.2004.08.021 · Cited by 109
Genome-wide identification of direct targets of the Drosophila retinal determination protein EyelessPreprint
Ostrin, E. J., Li, Y., Hoffman, K. L., Liu, J., Wang, K., Zhang, L., Mardon, G., & Chen, R. (2006) · Genome Research · doi:10.1101/gr.4673006 · Cited by 107
Aerts, S., Quan, X., Claeys, A., Naval-Sánchez, M., Tate, P., Yan, J., & Hassan, B. A. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000435 · Cited by 97
Self-citationGenome-wide identification of neuronal activity-regulated genes in Drosophila
Chen, X., Rahman, R., Guo, F., & Rosbash, M. (2016) · eLife · doi:10.7554/elife.19942 · Cited by 94
Venkatesan, K. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg644 · Cited by 92
Grainyhead and Zelda compete for binding to the promoters of the earliest-expressed Drosophila genes
Harrison, M. M., Botchan, M. R., & Cline, T. W. (2010) · Developmental Biology · doi:10.1016/j.ydbio.2010.06.026 · Cited by 90
Gao, X., Vockley, C. M., Pauli, F., Newberry, K. M., Xue, Y., Randell, S. H., Reddy, T. E., & Hogan, B. L. M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307589110 · Cited by 87
The tyrosine kinase Stitcher activates Grainy head and epidermal wound healing in Drosophila
Wang, S., Tsarouhas, V., Xylourgidis, N., Sabri, N., Tiklová, K., Nautiyal, N., Gallio, M., & Samakovlis, C. (2009) · Nature Cell Biology · doi:10.1038/ncb1898 · Cited by 87
Roles of Grainyhead-like transcription factors in cancer
Frisch, S. M., Farris, J. C., & Pifer, P. M. (2017) · Oncogene · doi:10.1038/onc.2017.178 · Cited by 83
Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
Verfaillie, A., Svetlichnyy, D., Imrichova, H., Davie, K., Fiers, M., Kalender Atak, Z., Hulselmans, G., Christiaens, V., & Aerts, S. (2016) · Genome Research · doi:10.1101/gr.204149.116 · Cited by 82
Self-citationVarma, S., Cao, Y., Tagne, J.-B., Lakshminarayanan, M., Li, J., Friedman, T. B., Morell, R. J., Warburton, D., Kotton, D. N., & Ramirez, M. I. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.408401 · Cited by 79
Grainy head promotes expression of septate junction proteins and influences epithelial morphogenesis
Narasimha, M., Uv, A., Krejčı́, A., Brown, N. H., & Bray, S. J. (2008) · Journal of Cell Science · doi:10.1242/jcs.019422 · Cited by 75
Potier, D., Davie, K., Hulselmans, G. J., Naval-Sánchez, M., Haagen, L., Huynh‐Thu, V. A., Koldere, D., Çelik, A., Geurts, P., Christiaens, V., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.11.038 · Cited by 75
Self-citationp53 regulates enhancer accessibility and activity in response to DNA damage
Younger, S. T., & Rinn, J. L. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx577 · Cited by 73
GBshape: a genome browser database for DNA shape annotations
Chiu, T.-P., Yang, L., Zhou, T., Main, B. J., Parker, S. C. J., Nuzhdin, S. V., Tullius, T. D., & Rohs, R. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku977 · Cited by 62
Paré, A. C., Kim, M.-J., Juarez, M. T., Brody, S., & McGinnis, W. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036254 · Cited by 56
Nevil, M., Bondra, E. R., Schulz, K. N., Kaplan, T., & Harrison, M. M. (2016) · Genetics · doi:10.1534/genetics.116.195685 · Cited by 54
Structural basis of gene regulation by the Grainyhead/CP2 transcription factor family
Ming, Q., Roske, Y., Schuetz, A., Walentin, K., Ibraimi, I., Schmidt-Ott, K. M., & Heinemann, U. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1299 · Cited by 49
van Bergeijk, P., Heimiller, J., Uyetake, L., & Su, T. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036539 · Cited by 35
Grainyhead-like Transcription Factors in Craniofacial Development
Carpinelli, M. R., de Vries, M. E., Jane, S. M., & Dworkin, S. (2017) · Journal of Dental Research · doi:10.1177/0022034517719264 · Cited by 25
Svetlichnyy, D., Imrichová, H., Fiers, M. W. E. J., Atak, Z. K., & Aerts, S. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004590 · Cited by 22
Self-citationVarma, S., Mahavadi, P., Sasikumar, S., Cushing, L., Hyland, T., Rosser, A., Riccardi, D., Lü, J., Kalin, T. V., Kalinichenko, V. V., et al. (2013) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00143.2013 · Cited by 19
ChromVAR: Inferring transcription factor variation from single-cell epigenomic data
Schep, A. N., Wu, B.-J., Buenrostro, J. D., & Greenleaf, W. (2017) · bioRxiv · doi:10.1101/110346 · Cited by 16
Cited by
Sorted by citations
Pioneer Transcription Factors Initiating Gene Network Changes
Zaret, K. S. (2020) · Annual Review of Genetics · doi:10.1146/annurev-genet-030220-015007 · Cited by 409
Ulz, P., Perakis, S. O., Zhou, Q. X., Moser, T., Belic, J., Lazzeri, I., Wölfler, A., Zebisch, A., Gerger, A., Pristauz, G., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12714-4 · Cited by 264
Pioneer factors as master regulators of the epigenome and cell fate
Balsalobre, A., & Drouin, J. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00464-z · Cited by 251
Chromatin accessibility profiling methods
Minnoye, L., Marinov, G. K., Krausgruber, T., Pan, L., Marand, A. P., Secchia, S., Greenleaf, W. J., Furlong, E. E. M., Zhao, K., Schmitz, R. J., et al. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-020-00008-9 · Cited by 206
Self-citationHypoxia, partial EMT and collective migration: Emerging culprits in metastasis
Saxena, K., Jolly, M. K., & Balamurugan, K. (2020) · Translational Oncology · doi:10.1016/j.tranon.2020.100845 · Cited by 198
Metadata
- Authors
- Jacobs, J., Atkins, M., Davie, K., Imrichova, H., Romanelli, L., Christiaens, V., Hulselmans, G., Potier, D., Wouters, J., Taskiran, I. I., Paciello, G., González-Blas, C. B., Koldere, D., Aibar, S., Halder, G., & Aerts, S.
- Affiliations
- VIB-KU Leuven Center for Brain & Disease Research (BE)
- VIB-KU Leuven Center for Cancer Biology (BE)
- Boğaziçi University (TR)
- Politecnico di Torino (IT)
- Corresponding author
- Aerts, Stein
- ORCID
- Venue
- Nature Genetics
- Published
- 2018-06-04
- Volume
- 50
- Issue
- 7
- Pages
- 1011-1020
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC6031307
- OpenAlex
- W2806844404
- Cited by
- 155
- References
- 98
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 22 · 2023: 15 · 2022: 23 · 2021: 17 · 2020: 28 · 2019: 16 · 2018: 8
- FWCI
- 6.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion)
- Lirias (submittedVersion, other-oa)
- Funders
- National Institutes of Health (P40OD018537)
- 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 › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- transcription factors, enhancer accessibility, nucleosome displacement, pioneer factors, chromatin accessibility, GRHL1, GRHL2, GRHL3, Drosophila, transcriptional activation, regulatory hierarchy, tissue-specific gene expression, single nucleotide polymorphisms
- MeSH terms
- Animals, Binding Sites, Chromatin, DNA-Binding Proteins, Drosophila melanogaster, Enhancer Elements, Genetic, Epithelial Cells, Humans, Nucleosomes, Transcription Factors, Transcriptional Activation, Gene Expression Regulation, Developmental, Polymorphism, Single Nucleotide, Drosophila Proteins, Animals, Genetically Modified, Cell Line, Tumor, MCF-7 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