Back to Search Start Over

Automated ChIPmentation procedure on limited biological material of the human blood fluke Schistosoma mansoni .

Authors :
Lasica C
de Carvalho Augusto R
Moné H
Mouahid G
Chaparro C
Veillard AC
Zelisko-Schmidt A
Grunau C
Source :
Wellcome open research [Wellcome Open Res] 2024 Feb 13; Vol. 7, pp. 133. Date of Electronic Publication: 2024 Feb 13 (Print Publication: 2022).
Publication Year :
2024

Abstract

In living cells, the genetic information stored in the DNA sequence is always associated with chromosomal and extra-chromosomal epigenetic information. Chromatin is formed by the DNA and associated proteins, in particular histones. Covalent histone modifications are important bearers of epigenetic information and as such have been increasingly studied since about the year 2000. One of the principal techniques to gather information about the association between DNA and modified histones is chromatin immunoprecipitation (ChIP), also combined with massive sequencing (ChIP-Seq). Automated ChIPmentation procedure is a convenient alternative to native chromatin immunoprecipitation (N-ChIP). It is now routinely used for ChIP-Seq in many model species, using in general roughly 10 <superscript>6</superscript> cells per experiment. Such high cell numbers are sometimes difficult to produce. Using the human parasite Schistosoma mansoni , whose production requires sacrificing animals and should therefore be kept to a minimum, we show here that automated ChIPmentation is suitable for limited biological material. We define the operational limit as ≥20,000 Schistosoma cells with 30,000-300,000 cells as optimum. We also present a streamlined protocol for the preparation of ChIP input libraries.<br />Competing Interests: Competing interests: Diagenode is the company which commercialized the ChIPmentation technology. ACV and AZS are employees of Diagenode.<br /> (Copyright: © 2024 Lasica C et al.)

Details

Language :
English
ISSN :
2398-502X
Volume :
7
Database :
MEDLINE
Journal :
Wellcome open research
Publication Type :
Academic Journal
Accession number :
37521535
Full Text :
https://doi.org/10.12688/wellcomeopenres.17779.2