Streamlined quantitative analysis of histone modification abundance at nucleosome-scale resolution with siQ-ChIP version 2.0.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
09 05 2023
09 05 2023
Historique:
received:
19
01
2023
accepted:
29
04
2023
medline:
11
5
2023
pubmed:
10
5
2023
entrez:
10
5
2023
Statut:
epublish
Résumé
We recently introduced an absolute and physical quantitative scale for chromatin immunoprecipitation followed by sequencing (ChIP-seq). The scale itself was determined directly from measurements routinely made on sequencing samples without additional reagents or spike-ins. We called this approach sans spike-in quantitative ChIP, or siQ-ChIP. Herein, we extend those results in several ways. First, we simplified the calculations defining the quantitative scale, reducing practitioner burden. Second, we reveal a normalization constraint implied by the quantitative scale and introduce a new scheme for generating 'tracks'. The constraint requires that tracks are probability distributions so that quantified ChIP-seq is analogous to a mass distribution. Third, we introduce some whole-genome analyses that allow us, for example, to project the IP mass (immunoprecipitated mass) onto the genome to evaluate how much of any genomic interval was captured in the IP. We applied siQ-ChIP to p300/CBP inhibition and compare our results to those of others. We detail how the same data-level observations are misinterpreted in the literature when tracks are not understood as probability densities and are compared without correct quantitative scaling, and we offer new interpretations of p300/CBP inhibition outcomes.
Identifiants
pubmed: 37160995
doi: 10.1038/s41598-023-34430-2
pii: 10.1038/s41598-023-34430-2
pmc: PMC10169836
doi:
Substances chimiques
Nucleosomes
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
7508Subventions
Organisme : NCI NIH HHS
ID : K00 CA245821
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM124736
Pays : United States
Informations de copyright
© 2023. The Author(s).
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