ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors
Open accessAbstract
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is widely used to map histone marks and transcription factor binding throughout the genome. Here we present ChIPmentation, a method that combines chromatin immunoprecipitation with sequencing library preparation by Tn5 transposase ('tagmentation'). ChIPmentation introduces sequencing-compatible adaptors in a single-step reaction directly on bead-bound chromatin, which reduces time, cost and input requirements, thus providing a convenient and broadly useful alternative to existing ChIP-seq protocols.
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
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?
ChIPmentation experiments were performed as previously described with few modifications.
“ChIPmentation experiments were performed as previously described,76 with few modifications.”
From Super-enhancers include classical enhancers and facilitators to fully activate gene expression (2023) · cites this paper as [76]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437 · see citing works
Flagged first, then by citations
Research works printed but not linked: 25
- [1]Park PJ Nat Rev Genet 2009 10 669 680 19736561 PMC3191340
- [2]Furey TS Nat Rev Genet 2012 13 840 852 23090257 PMC3591838
- [3]Adey A Genome Biol 2010 11 R119 21143862 PMC3046479
- [4]Buenrostro JD Giresi PG Zaba LC Chang HY Greenleaf WJ Nat Methods 2013 10 1213 1218 24097267 PMC3959825
- [5]Adli M Zhu J Bernstein BE Nat Methods 2010 7 615 618 20622861 PMC2924612
- [6]Jakobsen JS BMC Genomics 2015 16 46 25652644 PMC4328043
- [7]Lara-Astiaso D Science 2014 345 943 949 25103404 PMC4412442
- [8]Ng JH Dev Cell 2013 24 324 333 23352811
- [9]Sachs M Cell Rep 2013 3 1777 1784 23727241 PMC3700580
- [10]Shankaranarayanan P Nat Methods 2011 8 565 567 21642965
- [11]Zwart W BMC Genomics 2013 14 232 23565824 PMC3637562
- [12]He Q Johnston J Zeitlinger J Nat Biotechnol 2015 33 395 401 25751057 PMC4390430
- [13]Rhee HS Pugh BF Cell 2011 147 1408 1419 22153082 PMC3243364
- [14]Winter DR Song L Mukherjee S Furey TS Crawford GE Genome Res 2013 23 1118 1129 23657885 PMC3698505
- [15]Schep A bioRxiv 2015 doi: 10.1101/016642 · DOI
- [16]Adams D Nat Biotechnol 2012 30 224 226 22398613
- [17]Bock C Genome Med 2014 6 41 25031623 PMC4062064
- [18]Satterlee JS Schübeler D Ng HH Nat Biotechnol 2010 28 1039 1044 20944594
- [19]Farlik M Cell Reports 2015 10 1386 1397 25732828 PMC4542311
- [20]Jiang H Lei R Ding SW Zhu S BMC Bioinformatics 2014 15 182 24925680 PMC4074385
- [21]Langmead B Salzberg SL Nature Methods 2012 9 357 U354 22388286 PMC3322381
- [22]Quinlan AR Hall IM Bioinformatics 2010 26 841 842 20110278 PMC2832824
- [23]Zhang Y Genome Biol 2008 9 R137 18798982 PMC2592715
- [24]Heinz S Mol Cell 2010 38 576 589 20513432 PMC2898526
- [25]Thurman RE Nature 2012 489 75 82 22955617 PMC3721348
Cited by
Sorted by citations
HiChIP: efficient and sensitive analysis of protein-directed genome architecture
Mumbach, M. R., Rubin, A. J., Flynn, R. A., Dai, C., Khavari, P. A., Greenleaf, W. J., & Chang, H. Y. (2016) · Nature Methods · doi:10.1038/nmeth.3999 · Cited by 1,139 · see citing works
Chromatin accessibility profiling by ATAC-seq
Grandi, F. C., Modi, H., Kampman, L., & Corces, M. R. (2022) · Nature Protocols · doi:10.1038/s41596-022-00692-9 · Cited by 557 · see citing works
Structural cells are key regulators of organ-specific immune responses
Krausgruber, T., Fortelny, N., Fife-Gernedl, V., Senekowitsch, M., Schuster, L. C., Lercher, A., Nemc, A., Schmidl, C., Rendeiro, A. F., Bergthaler, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2424-4 · Cited by 434 · see citing works
Self-citationGene expression variability across cells and species shapes innate immunity
Hagai, T., Chen, X., Miragaia, R. J., Rostom, R., Gomes, T., Kunowska, N., Henriksson, J., Park, J.-E., Proserpio, V., Donati, G., et al. (2018) · Nature · doi:10.1038/s41586-018-0657-2 · Cited by 220 · see citing works
Probing the Tumor Suppressor Function of BAP1 in CRISPR-Engineered Human Liver Organoids
Artegiani, B., van Voorthuijsen, L., Lindeboom, R. G. H., Seinstra, D., Heo, I., Tapia, P., López-Iglesias, C., Postrach, D., Dayton, T., Oka, R., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2019.04.017 · Cited by 218 · see citing works
Super-enhancers include classical enhancers and facilitators to fully activate gene expression
Blayney, J. W., Francis, H., Rampasekova, A., Camellato, B., Mitchell, L., Stolper, R., Cornell, L., Babbs, C., Boeke, J. D., Higgs, D. R., et al. (2023) · Cell · doi:10.1016/j.cell.2023.11.030 · Cited by 196 · see citing works
Single-cell chromatin immunocleavage sequencing (scChIC-seq) to profile histone modification
Ku, W. L., Nakamura, K., Gao, W., Cui, K., Hu, G., Tang, Q., Ni, B., & Zhao, K. (2019) · Nature Methods · doi:10.1038/s41592-019-0361-7 · Cited by 181 · see citing works
Loss of EZH2 Reprograms BCAA Metabolism to Drive Leukemic Transformation
Gu, Z., Liu, Y., Cai, F., Patrick, M., Zmajkovic, J., Cao, H., Zhang, Y., Tasdogan, A., Chen, M., Qi, L., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0152 · Cited by 173 · see citing works
Targeted degradation of the enhancer lysine acetyltransferases CBP and p300
Vannam, R., Sayilgan, J., Ojeda, S., Karakyriakou, B., Hu, E., Kreuzer, J., Morris, R., Herrera Lopez, X. I., Rai, S., Haas, W., et al. (2021) · Cell Chemical Biology · doi:10.1016/j.chembiol.2020.12.004 · Cited by 177 · see citing works
Jacobs, J., Atkins, M., Davie, K., Imrichova, H., Romanelli, L., Christiaens, V., Hulselmans, G., Potier, D., Wouters, J., Taskiran, I. I., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0140-x · Cited by 155 · see citing works
Rendeiro, A. F., Schmidl, C., Strefford, J. C., Walewska, R., Davis, Z., Farlik, M., Oscier, D., & Bock, C. (2016) · Nature Communications · doi:10.1038/ncomms11938 · Cited by 146 · see citing works
Self-citationProfiling chromatin states using single-cell itChIP-seq
Ai, S., Xiong, H., Li, C. C., Luo, Y., Shi, Q., Liu, Y., Yu, X., Li, C., & He, A. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0383-5 · Cited by 140 · see citing works
Lau, S.-F., Chen, C., Fu, W.-Y., Qu, J. Y., Cheung, T. H., Fu, A. K. Y., & Ip, N. Y. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107530 · Cited by 114 · see citing works
Modulating Androgen Receptor-Driven Transcription in Prostate Cancer with Selective CDK9 Inhibitors
Richters, A., Doyle, S. K., Freeman, D. B., Lee, C., Leifer, B. S., Jagannathan, S., Kabinger, F., Koren, J. V., Struntz, N. B., Urgiles, J., et al. (2021) · Cell Chemical Biology · doi:10.1016/j.chembiol.2020.10.001 · Cited by 86 · see citing works
Generation of human adult hepatocyte organoids with metabolic functions
Igarashi, R., Oda, M., Okada, R., Yano, T., Takahashi, S., Pastuhov, S., Matano, M., Masuda, N., Togasaki, K., Ohta, Y., et al. (2025) · Nature · doi:10.1038/s41586-025-08861-y · Cited by 85 · see citing works
HNF1A recruits KDM6A to activate differentiated acinar cell programs that suppress pancreatic cancer
Kalisz, M., Bernardo, E., Beucher, A., Maestro, M. A., del Pozo, N., Millán, I., Haeberle, L., Schlensog, M., Safi, S. A., Knoefel, W. T., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019102808 · Cited by 77 · see citing works
Ferreira, A. C. F., Szeto, A. C. H., Clark, P. A., Crisp, A., Kozik, P., Jolin, H. E., & McKenzie, A. N. J. (2023) · Immunity · doi:10.1016/j.immuni.2023.05.010 · Cited by 23 · see citing works
- Authors
- Schmidl, C., Rendeiro, A. F., Sheffield, N. C., & Bock, C.
- Affiliations
- Austrian Academy of Sciences (AT)
- Corresponding author
- Bock, Christoph
- Venue
- Nature Methods
- Published
- 2015-08-17
- Volume
- 12
- Issue
- 10
- Pages
- 963-965
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC4589892
- OpenAlex
- W1925000049
- Cited by
- 509
- References
- 1
- Citations by year
- 2026: 44 · 2025: 35 · 2024: 60 · 2023: 41 · 2022: 43 · 2021: 60 · 2020: 67 · 2019: 63 · 2018: 44 · 2017: 26 · 2016: 23 · 2015: 2 · 2014: 1
- FWCI
- 13.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Figshare (submittedVersion, cc-by)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Figshare (cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- tagmentation, Tn5 transposase, chromatin immunoprecipitation, histone modifications, transcription factor binding, low-input sequencing
- MeSH terms
- Histones, Humans, Transcription Factors, Genome, Human, K562 Cells, Chromatin Immunoprecipitation
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