Evidence map›Paper›PMID 30654749›Full record

ArticleBMC genomics2019

SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome.

Luis A Vale-Silva, Tovah E Markowitz, Andreas Hochwagen

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Wild West of spike-in normalization.Nature biotechnology · 2024
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  6. Review
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  9. Context-dependent function of the transcriptional regulator Rap1 in gene silencing and activation inProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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  11. Article
  12. Article
  13. Review
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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

3 authors.

Luis A Vale-SilvaDepartment of Biology, New York University, New York, NY, 10003, USA.
Tovah E MarkowitzDepartment of Biology, New York University, New York, NY, 10003, USA.
Andreas HochwagenDepartment of Biology, New York University, New York, NY, 10003, USA. andi@nyu.edu.ORCID http://orcid.org/0000-0002-6184-443X

Funding

Mechanisms of Chromosome Scale Signal PropagationR01GM111715 · NIGMS · NEW YORK UNIVERSITY · PI HOCHWAGEN, ANDREAS · 2015 to 2022
$2.6M
Chromosomal control of meiotic double-strand break formationR01GM123035 · NIGMS · NEW YORK UNIVERSITY · PI HOCHWAGEN, ANDREAS · 2018 to 2021
$1.2M
March of Dimes Foundation FY16-208National Institute of General Medical Sciences R01 GM111715National Institute of General Medical Sciences R01 GM123035NIGMS NIH HHS R01 GM111715NIGMS NIH HHS R01 GM123035
6 · The paper itself

Abstract

backgroundChromatin-immunoprecipitation followed by sequencing (ChIP-seq) is the method of choice for mapping genome-wide binding of chromatin-associated factors. However, broadly applicable methods for between-sample comparisons are lacking.

resultsHere, we introduce SNP-ChIP, a method that leverages small-scale intra-species polymorphisms, mainly SNPs, for quantitative spike-in normalization of ChIP-seq results. Sourcing spike-in material from the same species ensures antibody cross-reactivity and physiological coherence, thereby eliminating two central limitations of traditional spike-in approaches. We show that SNP-ChIP is robust to changes in sequencing depth and spike-in proportions, and reliably identifies changes in overall protein levels, irrespective of changes in binding distribution. Application of SNP-ChIP to test cases from budding yeast meiosis allowed discovery of novel regulators of the chromosomal protein Red1 and quantitative analysis of the DNA-damage associated histone modification γ-H2AX.

conclusionSNP-ChIP is fully compatible with the intra-species diversity of humans and most model organisms and thus offers a general method for normalizing ChIP-seq results.

Indexed as

Genome, FungalCell Cycle ProteinsChromatin ImmunoprecipitationChromosomal Proteins, Non-HistoneCohesinsMutationPolymorphism, Single NucleotideProtein BindingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, DNACell Cycle ProteinsChromosomal Proteins, Non-HistoneCohesinsSaccharomyces cerevisiae ProteinsChIP-seqChromatin immunoprecipitationChromosomal proteinsMeiosisNormalizationPost-translational modificationS. cerevisiaeSpike-in

Identifiers

PMID30654749
PMCPMC6337847

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Registered trials

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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.