CoBATCH for High-Throughput Single-Cell Epigenomic Profiling
Open accessPublished version of a preprint
Abstract
An efficient, generalizable method for genome-wide mapping of single-cell histone modifications or chromatin-binding proteins is lacking. Here, we develop CoBATCH, combinatorial barcoding and targeted chromatin release, for single-cell profiling of genomic distribution of chromatin-binding proteins in cell culture and tissue. Protein A in fusion to Tn5 transposase is enriched through specific antibodies to genomic regions, and Tn5 generates indexed chromatin fragments ready for library preparation and sequencing. Importantly, this strategy enables not only low-input epigenomic profiling in intact tissues but also measures scalable up to tens of thousands of single cells per experiment under both native and cross-linked conditions. CoBATCH produces ∼12,000 reads/cell with extremely low background. Mapping of endothelial cell lineages from ten embryonic mouse organs through CoBATCH allows for efficient deciphering of epigenetic heterogeneity of cell populations and cis-regulatory mechanisms. Thus, obviating specialized devices, CoBATCH is broadly applicable and easily deployable for single-cell profiling of protein-DNA interactions.
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?
Single-cell characterization of histone post-translational modifications has not been achieved for highly complex adult organs such as the brain.
“However, for highly complex adult organs such as the brain, this single-cell characterization has not been achieved.”
From Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues (2021) · 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.
The citation lists haven’t been fetched yet
References 71 · Cited by 213
- Authors
- Wang, Q., Xiong, H., Ai, S., Yu, X., Liu, Y., Zhang, J., & He, A.
- Affiliations
- Peking University (CN)
- Corresponding author
- He, Aibin
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 76
- Issue
- 1
- Pages
- 206-216.e7
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W2971336800
- Cited by
- 213
- References
- 71
- Citations by year
- 2026: 13 · 2025: 28 · 2024: 28 · 2023: 26 · 2022: 40 · 2021: 46 · 2020: 28 · 2019: 4
- FWCI
- 9.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Molecular Cell (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China Stem Cell and Translational Research
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- single-cell epigenomics, chromatin-binding proteins, histone modifications, combinatorial barcoding, Tn5 transposase, protein A, chromatin release, protein-DNA interactions, low-input sequencing, epigenetic heterogeneity
- MeSH terms
- Mouse Embryonic Stem Cells, Epigenome, Acetylation, Animals, Cell Line, Chromatin, Histones, Methylation, Mice, Transgenic, Protein Binding, Protein Processing, Post-Translational, Mice, Epigenomics, Single-Cell Analysis, High-Throughput Nucleotide Sequencing
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