Evidence map›Paper›PMID 31483109›Full record

ArticleCurrent protocols in cell biology2019

Pinpointing the Genomic Localizations of Chromatin-Associated Proteins: The Yesterday, Today, and Tomorrow of ChIP-seq.

Sarah M Lloyd, Xiaomin Bao

Abstract read
In one paragraph

Article in Current protocols in cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Chromatin Immunoprecipitation Sequencing in Cancer Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Article
  5. The Molecular Landscape of Thymic Epithelial Tumors: A Comprehensive Review.International journal of molecular sciences · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sarah M LloydDepartment of Molecular Biosciences, Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Evanston, Illinois.
Xiaomin BaoDepartment of Molecular Biosciences, Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Evanston, Illinois.

Funding

CELLULAR &MOLECULAR BASIS OF DISEASE TRAINING PROGRAMT32GM008061 · NIGMS · NORTHWESTERN UNIVERSITY · PI CARTHEW, RICHARD W. · 1985 to 2022
$17.1M
Regulators of Epidermal Gene ExpressionR00AR065480 · NIAMS · NORTHWESTERN UNIVERSITY · PI BAO, XIAOMIN · 2016 to 2018
$728k
NIAMS NIH HHS R00 AR065480NIGMS NIH HHS T32 GM008061
6 · The paper itself

Abstract

Chromatin-associated proteins are instrumental for controlling spatiotemporal gene expression. Determining where these proteins bind across the genome is critical for understanding gene regulation. A widely used technique at present is ChIP-seq, which leverages chromatin fragmentation, antibody-mediated enrichment, next-generation sequencing, and data analysis to uncover the genomic sequences and patterns of protein-DNA interactions. In this article, we will provide an overview of how ChIP-seq was developed, the key elements of the experimentation and data analysis pipeline, and the recent variations that push the boundaries of precision and cell number requirements. We will also briefly discuss how future development of ChIP-seq may further advance our understanding of chromatin biology. © 2019 by John Wiley & Sons, Inc.

Indexed as

Chromatin Immunoprecipitation SequencingAnimalsBinding SitesChromatinChromatin Assembly and DisassemblyDNA-Binding ProteinsGene Expression RegulationGenomicsHumansTranscription FactorsChromatinDNA-Binding ProteinsTranscription FactorsChIP-seqchromatinDNAgene regulationgenomenucleus

Identifiers

PMID31483109
PMCPMC6727970

What OpenQuestion holds

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Registered trials

None linked

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.