ArticleNature protocols2020
Chromatin integration labeling for mapping DNA-binding proteins and modifications with low input.
Article in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 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
11 citing papers in PubMed, 18 citations in OpenAlex.
- Reconstructing epigenomic dynamics through a single-cell multi-epigenome data integration framework.Nature communications · 2025Article
- Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery.Nature neuroscience · 2024Review
- Emerging toolkits for decoding the co-occurrence of modified histones and chromatin proteins.EMBO reports · 2024Review
- Multifactorial epigenomic profiling of six chromatin states in single cells.Nature methods · 2024Article
- Combinatorial single-cell profiling of major chromatin types with MAbID.Nature methods · 2024Article
- FFPE-ATAC: A Highly Sensitive Method for Profiling Chromatin Accessibility in Formalin-Fixed Paraffin-Embedded Samples.Current protocols · 2022Article
- Chromatin accessibility profiling by ATAC-seq.Nature protocols · 2022Review
- Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq.Cell & bioscience · 2021Article
- FACT-seq: profiling histone modifications in formalin-fixed paraffin-embedded samples with low cell numbers.Nucleic acids research · 2021Article
- Modeling population size independent tissue epigenomes by ChIL-seq with single thin sections.Molecular systems biology · 2021Article
- Tn5 Transposase Applied in Genomics Research.International journal of molecular sciences · 2020Review
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell identity is determined by the selective activation or silencing of specific genes via transcription factor binding and epigenetic modifications on the genome. Chromatin immunoprecipitation (ChIP) has been the standard technique for mapping the sites of transcription factor binding and histone modification. Recently, alternative methods to ChIP have been developed for addressing the increasing demands for low-input epigenomic profiling. Chromatin integration labeling (ChIL) followed by sequencing (ChIL-seq) has been demonstrated to be particularly useful for epigenomic profiling of low-input samples or even single cells because the technique amplifies the target genomic sequence before cell lysis. After labeling the target protein or modification in situ with an oligonucleotide-conjugated antibody (ChIL probe), the nearby genome sequence is amplified by Tn5 transposase-mediated transposition followed by T7 RNA polymerase-mediated transcription. ChIL-seq enables the detection of the antibody target localization under a fluorescence microscope and at the genomic level. Here we describe the detailed protocol of ChIL-seq with assessment methods for the key steps, including ChIL probe reaction, transposition, in situ transcription and sequencing library preparation. The protocol usually takes 3 d to prepare the sequencing library, including overnight incubations for the ChIL probe reaction and in situ transcription. The ChIL probe can be separately prepared and stored for several months, and its preparation and evaluation protocols are also documented in detail. An optional analysis for multiple targets (multitarget ChIL-seq) is also described. We anticipate that the protocol presented here will make the ChIL technique more widely accessible for analyzing precious samples and facilitate further applications.
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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.