The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Impact of cytosine methylation on DNA binding specificities of human transcription factors
Open accessAbstract
Positives and negatives of methylated CpG: When the DNA bases cytosine and guanine are next to each other, a methyl group is generally added to the pyrimidine, generating a mCpG dinucleotide. This modification alters DNA structure but can also affect function by inhibiting transcription factor (TF) binding. Yin et al. systematically analyzed the effect of CpG methylation on the binding of 542 human TFs (see the Perspective by Hughes and Lambert). In addition to inhibiting binding of some TFs, they found that mCpGs can promote binding of others, particularly TFs involved in development, such as homeodomain proteins. Science , this issue p. eaaj2239 ; see also p. 489
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
“Of interest, the HNF4A binding motif does not contain a CG which can be methylated, thus making it a methylation-insensitive TF (11, 17).”
From Hepatocyte Nuclear Factor 4‐Alpha Is Essential for the Active Epigenetic State at Enhancers in Mouse Liver (2019) · cites this paper as [17]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Although many TF, including several members of the ETS family, display reduced binding affinities to DNA motifs containing methylated cytosine residues (44)”
From PU.1-Dependent Enhancer Inhibition Separates Tet2 -Deficient Hematopoiesis from Malignant Transformation (2022) · cites this paper as [44]
The cited source says what the claim attributes to it.
In the citing paper
“Given that the affinity of many transcription factors, including CTCF31, is negatively impacted by methylation of their binding sites32, it is possible that hypermethylation of DMR_394 disrupts binding of regulatory proteins and adversely affects the organization and regulation of genes nearby.”
From Integrated analysis of behavioral, epigenetic, and gut microbiome analyses in AppNL-G-F, AppNL-F, and wild type mice (2021) · cites this paper as [32]
The cited source says what the claim attributes to it.
In the citing paper
“DNA methylation (5-methylcytosine or 5mC) is associated with gene repression (16) and can disrupt the binding of many TFs (17, 18).”
From Hepatocyte Nuclear Factor 4‐Alpha Is Essential for the Active Epigenetic State at Enhancers in Mouse Liver (2019) · cites this paper as [17]
In the citing paper
“These studies unexpectedly uncovered that certain interactions between TFs and low affinity binding sites can be enhanced by the presence of 5mC.”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [28]
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
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Coot : model-building tools for molecular graphics
Emsley, P., & Cowtan, K. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904019158 · Cited by 30,571
Features and development of Coot
Emsley, P., Lohkamp, B., Scott, W. G., & Cowtan, K. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910007493 · Cited by 29,915
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
Phaser crystallographic software
McCoy, A. J., Grosse-Kunstleve, R. W., Adams, P. D., Winn, M. D., Storoni, L. C., & Read, R. J. (2007) · Journal of Applied Crystallography · doi:10.1107/s0021889807021206 · Cited by 20,612
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
Kabsch, W. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909047337 · Cited by 16,463
Overview of the CCP 4 suite and current developments
Winn, M. D., Ballard, C. C., Cowtan, K. D., Dodson, E. J., Emsley, P., Evans, P. R., Keegan, R. M., Krissinel, E. B., Leslie, A. G. W., McCoy, A., et al. (2011) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910045749 · Cited by 12,353
Flagged first, then by citations
Cited by
Sorted by citations
Items 301–400 of 1,002
The use of DNA methylation clock in aging research
He, X., Liu, J., Liu, B., & Shi, J. (2020) · Experimental Biology and Medicine · doi:10.1177/1535370220968802 · Cited by 38
Sadler, M. C., Auwerx, C., Lepik, K., Porcu, E., & Kutalik, Z. (2022) · Nature Communications · doi:10.1038/s41467-022-35196-3 · Cited by 35
The prognostic potential of CDX2 in colorectal cancer: Harmonizing biology and clinical practice
Badia-Ramentol, J., Gimeno-Valiente, F., Duréndez-Saéz, E., Martínez‐Ciarpaglini, C., Linares, J., Iglesias, M., Cervantes, A. M. R., Calon, A., & Tarazona, N. (2023) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2023.102643 · Cited by 37
Holmes, R. S., Spradling‐Reeves, K. D., & Cox, L. A. (2017) · Journal of Data Mining in Genomics & Proteomics · doi:10.4172/2153-0602.1000211 · Cited by 35
Li, H., Shi, L., Gao, W., Zhang, Z., Zhang, L., Zhao, Y., & Wang, G. (2022) · Methods · doi:10.1016/j.ymeth.2022.01.001 · Cited by 36
Xiao, X. O., Chen, M., Sang, Y., Xue, J., Jiang, K., Chen, Y., Zhang, L., Yu, S., Lv, W., Li, Y., et al. (2023) · Thyroid · doi:10.1089/thy.2023.0157 · Cited by 36
Falckenhayn, C., Bienkowska, A., Söhle, J., Wegner, K., Raddatz, G., Kristof, B., Kuck, D., Siegner, R., Kaufmann, R., Korn, J., et al. (2024) · Frontiers in Aging · doi:10.3389/fragi.2023.1258184 · Cited by 36
Native nucleosomes intrinsically encode genome organization principles
Park, S., Merino‐Urteaga, R., Karwacki-Neisius, V., Carrizo, G., Athreya, A., Marín-González, A., Benning, N. A., Park, J., Mitchener, M. M., Bhanu, N. V., et al. (2025) · Nature · doi:10.1038/s41586-025-08971-7 · Cited by 37
Andersen, G. B., & Tost, J. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7481-8_1 · Cited by 36
Herb, B. R., Shook, M., Fields, C. J., & Robinson, G. E. (2018) · BMC Genomics · doi:10.1186/s12864-018-4594-0 · Cited by 38
Lussier, A. A., Bodnar, T. S., Mingay, M., Morin, A., Hirst, M., Kobor, M. S., & Weinberg, J. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00610 · Cited by 36
Probing transcription factor combinatorics in different promoter classes and in enhancers
Vandel, J., Cassan, O., Lèbre, S., Lecellier, C., & Bréhélin, L. (2019) · BMC Genomics · doi:10.1186/s12864-018-5408-0 · Cited by 35
Song, G., Wang, G., Luo, X., Cheng, Y., Song, Q., Wan, J., Moore, C. D., Song, H., Jin, P., Qian, J. X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20950-w · Cited by 35
Pronounced sequence specificity of the TET enzyme catalytic domain guides its cellular function
Ravichandran, M., Rafalski, D., Davies, C. I., Ortega‐Recalde, O., Nan, X., Glanfield, C. R., Kötter, A., Misztal, K., Wang, A. H., Wojciechowski, M., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm2427 · Cited by 40
Charting the dynamic epigenome during B-cell development
Martín-Subero, J. I., & Oakes, C. C. (2017) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2017.08.008 · Cited by 41
Niu, Q., Xu, Y., Huang, H., Li, L., Tang, D., Wu, S., Liu, P., Liu, R., Ma, Y., Zhang, B., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2422798122 · Cited by 34
Wei, B., Jolma, A., Sahu, B., Orre, L. M., Zhong, F., Zhu, F., Kivioja, T., Sur, I., Lehtiö, J., Taipale, M., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4138 · Cited by 36
Self-citationStructural basis for preferential binding of human TCF4 to DNA containing 5-carboxylcytosine
Yang, J., Horton, J. R., Li, J., Huang, Y., Zhang, X., Blumenthal, R., & Cheng, X. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz381 · Cited by 34
Piqué, D. G., Montagna, C., Greally, J. M., & Mar, J. C. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0387-8 · Cited by 36
Davis, J. E., Insigne, K. D., Jones, E. M., Hastings, Q. B., Boldridge, W. C., & Kosuri, S. (2020) · Cell Systems · doi:10.1016/j.cels.2020.05.011 · Cited by 34
Sexual Dimorphism of the Heart: Genetics, Epigenetics, and Development
Deegan, D. F., Nigam, P., & Engel, N. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.668252 · Cited by 37
Dukatz, M., Dittrich, M., Stahl, E., Adam, S., de Mendoza, A., Bashtrykov, P., & Jeltsch, A. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.102462 · Cited by 35
Epigenetic Maintenance of Acquired Gene Expression Programs during Memory CD8 T Cell Homeostasis
Abdelsamed, H. A., Zebley, C. C., & Youngblood, B. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00006 · Cited by 33
TFregulomeR reveals transcription factors’ context-specific features and functions
Lin, Q. X. X., Thieffry, D., Jha, S., & Benoukraf, T. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1088 · Cited by 33
Mahajan, V. S., Mattoo, H., Sun, N., Viswanadham, V., Yuen, G. J., Allard‐Chamard, H., Ahmad, M., Murphy, S. J. H., Cariappa, A., Tuncay, Y., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22458-9 · Cited by 36
Schwope, R. M., Magris, G., Miculan, M., Paparelli, E., Celii, M., Tocci, A., Marroni, F., Fornasiero, A., Paoli, E. D., & Morgante, M. (2021) · The Plant Journal · doi:10.1111/tpj.15404 · Cited by 33
DNA methylation and histone variants in aging and cancer
Mangelinck, A., & Mann, C. (2021) · International review of cytology · doi:10.1016/bs.ircmb.2021.06.002 · Cited by 35
Reduced NCOR2 expression accelerates androgen deprivation therapy failure in prostate cancer
Long, M. D., Jacobi, J. J., Singh, P. K., Llimos, G., Wani, S. A., Rowsam, A. M., Rosario, S. R., Hoogstraat, M., Linder, S., Kirk, J. S., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110109 · Cited by 33
Benaglio, P., Zhu, H., Okino, M.-L., Yan, J., Elgamal, R. M., Nariai, N., Beebe, E., Korgaonkar, K., Qiu, Y., Donovan, M. K. R., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100214 · Cited by 35
Self-citationEpigenomic insights into common human disease pathology
Bell, C. G. (2024) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-024-05206-2 · Cited by 36
Prenatal Malnutrition-Induced Epigenetic Dysregulation as a Risk Factor for Type 2 Diabetes
Vaiserman, A. M., & Lushchak, O. V. (2019) · International Journal of Genomics · doi:10.1155/2019/3821409 · Cited by 37
Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci
Clark, A. D., Nair, N., Anderson, A. E., Thalayasingam, N., Naamane, N., Skelton, A. J., Diboll, J., Barton, A. C., Eyre, S., Isaacs, J. D., et al. (2020) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2019.12.910 · Cited by 32
Complex impact of DNA methylation on transcriptional dysregulation across 22 human cancer types
Wang, Z., Yin, J., Zhou, W., Bai, J., Xie, Y., Xu, K., Zheng, X., Xiao, J. Y., Zhou, L., Qi, X., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa041 · Cited by 32
Amenyah, S., McMahon, A. J., Ward, M., Deane, J., McNulty, H., Hughes, C., Strain, J., Horigan, G., Purvis, J., Walsh, C. P., et al. (2020) · Biochimie · doi:10.1016/j.biochi.2020.04.007 · Cited by 33
Nam, A.-R., Lee, K.-H., Hwang, H., Schabort, J. J., An, J., Won, S., & Cho, J. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00888-4 · Cited by 32
Epigenetic Neuropharmacology: Drugs Affecting the Epigenome in the Brain
Tóth, M. (2020) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-030220-022920 · Cited by 33
Cui, F., Li, S., Zhang, Z., Sui, M., Cao, C., Hesham, A. E., & Zou, Q. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.04.029 · Cited by 32
Local CpG density affects the trajectory and variance of age-associated DNA methylation changes
Higham, J., Kerr, L., Zhang, Q., Walker, R. M., Harris, S. E., Howard, D. M., Hawkins, E. L., Sandu, A., Steele, J. D., Waiter, G. D., et al. (2022) · Genome biology · doi:10.1186/s13059-022-02787-8 · Cited by 32
Marjonen, H., Auvinen, P., Kahila, H. K., Tšuiko, O., Kõks, S., Tiirats, A., Viltrop, T., Tuuri, T., Söderström‐Anttila, V., Suikkari, A., et al. (2018) · Clinical Epigenetics · doi:10.1186/s13148-018-0511-2 · Cited by 32
Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information
Liu, M., Su, W., Wang, J.-S., Yang, Y. R., Yang, H. Q., & Lin, H. (2020) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2020.07.035 · Cited by 31
Epigenetic mechanisms underlying stress-induced depression
de Carvalho, L. M., Chen, W.-Y., & Lasek, A. W. (2020) · International review of neurobiology · doi:10.1016/bs.irn.2020.08.001 · Cited by 33
A ride through the epigenetic landscape: aging reversal by reprogramming
Camillo, L. P. D. L., & Quinlan, R. B. A. (2021) · GeroScience · doi:10.1007/s11357-021-00358-6 · Cited by 30
Bernaudat, F., Gustems, M., Günther, J. C., Oliva, M. F., Buschle, A., Göbel, C., Pagniez, P., Lupo, J., Signor, L., Müller, C. W., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab1183 · Cited by 31
Transcriptional memory in skeletal muscle. Don't forget (to) exercise
Beiter, T., Niess, A. M., & Moser, D. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29535 · Cited by 30
High-throughput sequencing SELEX for the determination of DNA-binding protein specificities in vitro
Pantier, R., Chhatbar, K., Alston, G., Lee, H. Y., & Bird, A. (2022) · STAR Protocols · doi:10.1016/j.xpro.2022.101490 · Cited by 28
Paes, D., Lardenoije, R., Carollo, R. M., Roubroeks, J. A. Y., Schepers, M., Coleman, P. D., Mastroeni, D., Delvaux, E., Pishva, E., Lunnon, K., et al. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.004 · Cited by 30
Álvarez, V., Bandau, S., Jiang, H., Rios-Szwed, D. O., Hukelmann, J. L., Garcia-Wilson, E., Wiechens, N., Griesser, E., ten Have, S., Owen‐Hughes, T., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.111996 · Cited by 27
Okuda, K., Nakahara, K., Ito, A., Iijima, Y., Nomura, R., Kumar, A., Fujikawa, K., Adachi, K., Shimada, Y., Fujio, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36232-6 · Cited by 30
Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet
Viner, C., Ishak, C. A., Johnson, J., Walker, N. J., Shi, H., Sjöberg-Herrera, M. K., Shen, S. Y., Lardo, S. M., Adams, D. J., Ferguson-Smith, A. C., et al. (2024) · Genome Biology · doi:10.1186/s13059-023-03070-0 · Cited by 30
Hudson, N. O., Whitby, F. G., & Buck‐Koehntop, B. A. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.ra118.005147 · Cited by 28
Integrating multiomics longitudinal data to reconstruct networks underlying lung development
Ding, J., Ahangari, F., Espinoza, C. R., Chhabra, D., Nicola, T., Yan, X., Lal, C. V., Hagood, J. S., Kaminski, N., Bar‐Joseph, Z., et al. (2019) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00554.2018 · Cited by 29
Mitotic inheritance of DNA methylation: more than just copy and paste
Ming, X., Zhu, B., & Li, Y. (2021) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2021.01.006 · Cited by 30
Detection of transcription factors binding to methylated DNA by deep recurrent neural network
Li, H., Gong, Y., Liu, Y., Lin, H., & Wang, G. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab533 · Cited by 29
Flexibility of flanking DNA is a key determinant of transcription factor affinity for the core motif
Ghoshdastidar, D., & Bansal, M. (2022) · Biophysical Journal · doi:10.1016/j.bpj.2022.08.015 · Cited by 29
Esposito, C. L., Autiero, I., Sandomenico, A., Li, H., Bassal, M. A., Ibba, M. L., Wang, D., Rinaldi, L., Ummarino, S., Gaggi, G., et al. (2023) · Nature Communications · doi:10.1038/s41467-022-35222-4 · Cited by 30
High‐resolution transcriptomic and epigenetic profiling identifies novel regulators of COPD
Schwartz, U., Prada, M. L., Pohl, S. T., Richter, M., Tamas, R., Schuler, M. J., Keller, C., Mijošek, V., Muley, T., Schneider, M. A., et al. (2023) · The EMBO Journal · doi:10.15252/embj.2022111272 · Cited by 31
Identification of FDA-approved drugs that induce heart regeneration in mammals
Ahmed, M. S., Nguyen, N. U. N., Nakada, Y., Hsu, C., Farag, A., Lam, N. T., Wang, P., Thet, S., Menendez-Montes, I., Elhelaly, W. M., et al. (2024) · Nature Cardiovascular Research · doi:10.1038/s44161-024-00450-y · Cited by 30
ZBTB2 reads unmethylated CpG island promoters and regulates embryonic stem cell differentiation
Karemaker, I. D., & Vermeulen, M. (2018) · EMBO Reports · doi:10.15252/embr.201744993 · Cited by 28
iASPP mediates p53 selectivity through a modular mechanism fine-tuning DNA recognition
Chen, S., Wu, J.-L., Zhong, S., Li, Y.-T., Zhang, P., Ma, J., Ren, J.-S., Tan, Y., Wang, Y.-H., Au, K., et al. (2019) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1909393116 · Cited by 29
Multiple overlapping binding sites determine transcription factor occupancy
Khetan, S., Carroll, B. S., & Bulyk, M. L. (2025) · Nature · doi:10.1038/s41586-025-09472-3 · Cited by 29
Structural basis for effects of CpA modifications on C/EBPβ binding of DNA
Yang, J., Horton, J. R., Wang, D., Ren, R., Li, J., Sun, D., Huang, Y., Zhang, X., Blumenthal, R., & Cheng, X. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1264 · Cited by 27
Transcription factors–DNA interactions in rice: identification and verification
Shen, Z., Lin, Y., & Zou, Q. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbz045 · Cited by 28
Kaur, G., & Batra, S. (2020) · Cell Biology and Toxicology · doi:10.1007/s10565-020-09522-8 · Cited by 27
Peñaloza, E., Soto‐Carrasco, G., & Krause, B. J. (2020) · Biochemical Pharmacology · doi:10.1016/j.bcp.2020.114288 · Cited by 29
Flanking sequence preference modulates de novo DNA methylation in the mouse genome
Mallona, I., Ilie, I. M., Karemaker, I. D., Butz, S., Manzo, M., Caflisch, A., & Baubec, T. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1168 · Cited by 33
Flook, M., Escalera‐Balsera, A., Gallego‐Martinez, A., Espinosa-Sánchez, J. M., Arán, I., Soto-Varela, A., & Lopez-Escamez, J. A. (2021) · Biomedicines · doi:10.3390/biomedicines9111530 · Cited by 28
Mechanisms Controlling MicroRNA Expression in Tumor
Chen, S., Wang, Y., Li, D., Wang, H., Zhao, X., Yang, J., Chen, L., Guo, M., Zhao, J., Chen, C., et al. (2022) · Cells · doi:10.3390/cells11182852 · Cited by 28
Identification of mammalian transcription factors that bind to inaccessible chromatin
Pop, R. T., Pisante, A., Nagy, D., Martin, P. C. N., Mikheeva, L. A., Hayat, A., Ficz, G., & Zabet, N. R. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad614 · Cited by 30
Blood DNA methylation in post-acute sequelae of COVID-19 (PASC): a prospective cohort study
Balnis, J., Madrid, A., Drake, L. A., Vancavage, R., Tiwari, A., Patel, V., Ramos, R. B., Schwarz, J. J., Yucel, R. M., Singer, H. A., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105251 · Cited by 26
Jurkowska, R. Z. (2024) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2024.108732 · Cited by 29
Erasure of Tet-Oxidized 5-Methylcytosine by a SRAP Nuclease
Kweon, S.-M., Zhu, B., Chen, Y., Aravind, L., Xu, S.-Y., & Feldman, D. E. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.055 · Cited by 26
Wang, X., Srivastava, Y., Jankowski, A., Malik, V., Wei, Y., del Rosario, R. C. H., Cojocaru, V., Prabhakar, S., & Jauch, R. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky259 · Cited by 27
Shared nucleotide flanks confer transcriptional competency to bZip core motifs
Cohen, D. M., Lim, H., Won, K., & Steger, D. J. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky681 · Cited by 23
Control of zygotic genome activation in Xenopus
Blitz, I. L., & Cho, K. W. Y. (2021) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2021.03.003 · Cited by 27
Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine
Lange, M., Begolli, R., & Giakountis, A. (2021) · Non-Coding RNA · doi:10.3390/ncrna7030047 · Cited by 26
Regulatory Network of PD1 Signaling Is Associated with Prognosis in Glioblastoma Multiforme
Lopes‐Ramos, C. M., Belova, T., Brunner, T. H., Guebila, M. B., Osorio, D., Quackenbush, J. F., & Kuijjer, M. L. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-0730 · Cited by 26
Brown, A. P. C., Cai, L. P., Laufer, B. I., Miller, L. A., LaSalle, J. M., & Ji, H. (2021) · Environment International · doi:10.1016/j.envint.2021.106993 · Cited by 29
MethReg: estimating the regulatory potential of DNA methylation in gene transcription
Silva, T. C., Young, J. I., Martin, E. R., Chen, X. S., & Wang, L. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac030 · Cited by 26
The Mutagenic Consequences of DNA Methylation within and across Generations
Hanson, H. E., & Liebl, A. L. (2022) · Epigenomes · doi:10.3390/epigenomes6040033 · Cited by 28
DNA methylation signatures of early-life adversity are exposure-dependent in wild baboons
Anderson, J. A., Lin, D., Lea, A. J., Johnston, R. A., Voyles, T., Akinyi, M. Y., Archie, E. A., Alberts, S. C., & Tung, J. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2309469121 · Cited by 26
Ghosh, K., Chatterjee, B., Behera, P., & Kanade, S. R. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2019.125186 · Cited by 27
Mathur, J., Shenoy, V. B., & Pathak, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.20.000802 · Cited by 31
DNA Methylation in the Adaptive Response to Exercise
Bittel, A. J., & Chen, Y.-W. (2024) · Sports Medicine · doi:10.1007/s40279-024-02011-6 · Cited by 30
Zhao, B., Yu, X., Shi, J., Ma, S., Li, S., Shi, H., Xia, S., Ye, Y., Zhang, Y., Du, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54433-5 · Cited by 27
DNA Methylation, Aging, and Cancer
Vaidya, H., Jelı́nek, J., & Issa, J. J. (2025) · Epigenomes · doi:10.3390/epigenomes9020018 · Cited by 33
Shen, Z., & Zou, Q. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa492 · Cited by 26
Epigenetic inheritance of circadian period in clonal cells
Li, Y., Shan, Y., Kilaru, G., Berto, S., Wang, G., Cox, K. H., Yoo, S. H., Yang, S., Konopka, G., & Takahashi, J. S. (2020) · eLife · doi:10.7554/elife.54186 · Cited by 28
Unique features and emerging in vitro models of human placental development
Shibata, S., Kobayashi, E. H., Kobayashi, N., Oike, A., Okae, H., & Arima, T. (2020) · Reproductive Medicine and Biology · doi:10.1002/rmb2.12347 · Cited by 27
Jurkowska, R. Z., & Jeltsch, A. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-11454-0_1 · Cited by 27
Physicochemical models of protein–DNA binding with standard and modified base pairs
Chiu, T.-P., Rao, S., & Rohs, R. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2205796120 · Cited by 28
Nguyen, J. D., Llamas, J., Shi, T., Crump, J. G., Groves, A. K., & Segil, N. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2300839120 · Cited by 26
Khabiri, M., & Freddolino, L. (2017) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.6b12450 · Cited by 26
Detection of DNA Modifications by Sequence-Specific Transcription Factors
Yang, J., Zhang, X., Blumenthal, R., & Cheng, X. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.09.013 · Cited by 29
Spindola, L. M., Santoro, M. L., Pan, P. M., Ota, V. K., Xavier, G., Carvalho, C. M., Talarico, F., Sleiman, P., March, M., Pellegrino, R., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0740-z · Cited by 25
Comparison of ChIP-Seq Data and a Reference Motif Set for Human KRAB C2H2 Zinc Finger Proteins
Barazandeh, M., Lambert, S. A., Albu, M., & Hughes, T. R. (2017) · G3 Genes Genomes Genetics · doi:10.1534/g3.117.300296 · Cited by 27
Unravelling the Epigenome of Myelodysplastic Syndrome: Diagnosis, Prognosis, and Response to Therapy
Bond, D. R., Lee, H. J., & Enjeti, A. K. (2020) · Cancers · doi:10.3390/cancers12113128 · Cited by 26
Takouda, J., Katada, S., Imamura, T., Sanosaka, T., & Nakashima, K. (2021) · Pharmacology Research & Perspectives · doi:10.1002/prp2.749 · Cited by 25
Dominant role of DNA methylation over H3K9me3 for IAP silencing in endoderm
Wang, Z., Fan, R., Russo, A., Cernilogar, F. M., Nuber, A., Schirge, S., Shcherbakova, I., Dzhilyanova, I., Ugur, E., Anton, T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32978-7 · Cited by 27
The Role of DNA Methylation and DNA Methyltransferases in Cancer
Weisenberger, D. J., Lakshminarasimhan, R., & Liang, G. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-11454-0_13 · Cited by 27
Methyl-CpG binding domain 2 (Mbd2) is an epigenetic regulator of autism-risk genes and cognition
Lax, E., Carmo, S. D., Enuka, Y., Sapozhnikov, D. M., Welikovitch, L. A., Mahmood, N., Rabbani, S. A., Wang, L., Britt, J. P., Hancock, W. W., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02561-9 · Cited by 25
Metadata
- Authors
- Yin, Y., Morgunova, E., Jolma, A., Kaasinen, E., Sahu, B., Khund-Sayeed, S., Das, P. K., Kivioja, T., Dave, K., Zhong, F., Nitta, K. R., Taipale, M., Popov, A., Ginno, P. A., Domcke, S., Yan, J., Schübeler, D., Vinson, C., & Taipale, J.
- Affiliations
- Karolinska Institutet (SE)
- University of Helsinki (FI)
- National Institutes of Health (US)
- European Synchrotron Radiation Facility (FR)
- Friedrich Miescher Institute (CH)
- University of Basel (CH)
- Corresponding author
- Taipale, Jussi
- ORCID
- Venue
- Science
- Published
- 2017-05-05
- Volume
- 356
- Issue
- 6337
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC8009048
- OpenAlex
- W2610903912
- Cited by
- 1,257
- References
- 97
- Citations by year
- 2026: 92 · 2025: 138 · 2024: 148 · 2023: 159 · 2022: 166 · 2021: 150 · 2020: 125 · 2019: 125 · 2018: 113 · 2017: 37
- FWCI
- 44.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Academy of Finland Center of Excellence in Cancer Genetics
- European Research Area SynBio
- Center for Innovative Medicine at Karolinska Institutet
- Knut and Alice Wallenberg Foundation
- Göran Gustafsson Foundation
- Vetenskapsrådet
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Nucleic Acid Chemistry
- Keywords
- cytosine methylation, CpG methylation, transcription factor binding specificity, DNA methylation, homeodomain transcription factor, 5-methylcytosine, hydrophobic interactions, epigenetic regulation, gene regulatory elements
- MeSH terms
- Protein Domains, Cytosine, DNA, Humans, Protein Binding, Transcription Factors, Dinucleoside Phosphates, Genome, Human, CpG Islands, DNA Methylation, Epigenesis, Genetic, SELEX Aptamer Technique
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