ArticleMolecular cell2021
Simultaneous profiling of multiple chromatin proteins in the same cells.
Article in Molecular cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
82 citing papers in PubMed, 114 citations in OpenAlex.
- Genome-wide chromatin recording resolves dynamic cell state changes.Cell systems · 2026Article
- Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026Article
- Enhancers integrate microenvironmental signals in muscle stem cells during regeneration in health, disease, and aging.Skeletal muscle · 2026Review
- PATTY corrects open-chromatin bias for improved bulk and single-cell CUT&Tag profiling.Nature communications · 2026Article
- Histone modification cross-talk: analytical tools and molecular mechanisms.The Biochemical journal · 2026Review
- Article
- CoCUT&Tag maps linked chromatin states at single-molecule, single-cell resolution.bioRxiv : the preprint server for biology · 2026Article
- ECHOS enables spatial epigenome profiling at subcellular resolution.bioRxiv : the preprint server for biology · 2026Article
- Many roads lead to a plant cistrome: mapping and interpreting transcription factor binding in plants.Genome biology · 2026Review
- Integrative Single-Cell Epigenomic Atlas Annotates the Regulatory Genome of the Adult Mouse Brain.bioRxiv : the preprint server for biology · 2026Article
- Nanobody-Tethered Transposition for Dual Profiling of Histone Modification and DNA Methylation.JACS Au · 2026Article
- Article
- Af-CUT&Tag: a sensitive and antibody-free chromatin profiling method using genetically encoded tags and high-affinity binders fused to Tn5.Nature communications · 2026Article
- A hitchhiker's guide to single-cell epigenomics: Methods and applications for cancer research.International journal of cancer · 2026Review
- Advances in scCUT&Tag and computational analysis for single-cell gene regulatory element mapping.Briefings in bioinformatics · 2026Review
- Recent advances in methodologies of epigenomics.Epigenomics · 2026Review
- Reconstructing epigenomic dynamics through a single-cell multi-epigenome data integration framework.Nature communications · 2025Article
- Review
- Genome-wide investigation of transcription factor footprints and dynamics using cFOOT-seq.Protein & cell · 2025Article
- Remodelling bivalent chromatin is essential for mouse peri-implantation embryogenesis.Nature cell biology · 2025Article
22 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Methods derived from CUT&RUN and CUT&Tag enable genome-wide mapping of the localization of proteins on chromatin from as few as one cell. These and other mapping approaches focus on one protein at a time, preventing direct measurements of co-localization of different chromatin proteins in the same cells and requiring prioritization of targets where samples are limiting. Here, we describe multi-CUT&Tag, an adaptation of CUT&Tag that overcomes these hurdles by using antibody-specific barcodes to simultaneously map multiple proteins in the same cells. Highly specific multi-CUT&Tag maps of histone marks and RNA Polymerase II uncovered sites of co-localization in the same cells, active and repressed genes, and candidate cis-regulatory elements. Single-cell multi-CUT&Tag profiling facilitated identification of distinct cell types from a mixed population and characterization of cell-type-specific chromatin architecture. In sum, multi-CUT&Tag increases the information content per cell of epigenomic maps, facilitating direct analysis of the interplay of different chromatin proteins.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.