Literature DB >> 35524117

ChIP-SICAP: A New Tool to Explore Gene-Regulatory Networks in Candida albicans and Other Yeasts.

Lasse van Wijlick1, Ansh Goyal2,3, Sophie Bachellier-Bassi2, Christophe d'Enfert2.   

Abstract

Chromatin immunoprecipitation followed by mass spectrometry (ChIP-MS) is a powerful method to identify protein interactions, and has long been used to gain insights into regulatory networks in relevant fungal species as well as many other organisms. In this chapter, we discuss a similar technique called ChIP-SICAP (chromatin immunoprecipitation with selective isolation of chromatin-associated proteins) that overcomes many of the traditional limitations of ChIP-MS, and describe a protocol that allows ChIP-SICAP to be applied to Candida albicans and other yeasts. Notably, the technique design permits stringent washing to remove contaminating proteins and antibodies before subsequent mass spectrometry processing, allows for genome-wide mapping of the bait protein by ChIP-seq after ChIP-SICAP from the same sample through a DNA recovery process, and specifically purifies and identifies proteins associating with chromatin. In the future, ChIP-SICAP will provide the yeast genomics research community an additional method to explore the complex dynamics of the gene-regulatory networks modulating morphology, metabolism and response to stress.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Candida albicans; Chromatin immunoprecipitation; Gene-regulatory networks; Mass spectrometry; Next-generation sequencing; Yeast

Mesh:

Substances:

Year:  2022        PMID: 35524117     DOI: 10.1007/978-1-0716-2257-5_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  22 in total

1.  THE PROPERTIES OF STREPTAVIDIN, A BIOTIN-BINDING PROTEIN PRODUCED BY STREPTOMYCETES.

Authors:  L CHAIET; F J WOLF
Journal:  Arch Biochem Biophys       Date:  1964-07-20       Impact factor: 4.013

2.  Rapid immunoprecipitation mass spectrometry of endogenous proteins (RIME) for analysis of chromatin complexes.

Authors:  Hisham Mohammed; Christopher Taylor; Gordon D Brown; Evaggelia K Papachristou; Jason S Carroll; Clive S D'Santos
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3.  Chromatin proteomic profiling reveals novel proteins associated with histone-marked genomic regions.

Authors:  Xiong Ji; Daniel B Dadon; Brian J Abraham; Tong Ihn Lee; Rudolf Jaenisch; James E Bradner; Richard A Young
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-09       Impact factor: 11.205

4.  A recently evolved transcriptional network controls biofilm development in Candida albicans.

Authors:  Clarissa J Nobile; Emily P Fox; Jeniel E Nett; Trevor R Sorrells; Quinn M Mitrovich; Aaron D Hernday; Brian B Tuch; David R Andes; Alexander D Johnson
Journal:  Cell       Date:  2012-01-20       Impact factor: 41.582

5.  Detecting protein-DNA interactions in vivo: distribution of RNA polymerase on specific bacterial genes.

Authors:  D S Gilmour; J T Lis
Journal:  Proc Natl Acad Sci U S A       Date:  1984-07       Impact factor: 11.205

6.  ChIC and ChEC; genomic mapping of chromatin proteins.

Authors:  Manfred Schmid; Thérèse Durussel; Ulrich K Laemmli
Journal:  Mol Cell       Date:  2004-10-08       Impact factor: 17.970

7.  Expanding the Circuitry of Pluripotency by Selective Isolation of Chromatin-Associated Proteins.

Authors:  Mahmoud-Reza Rafiee; Charles Girardot; Gianluca Sigismondo; Jeroen Krijgsveld
Journal:  Mol Cell       Date:  2016-10-20       Impact factor: 17.970

8.  An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites.

Authors:  Peter J Skene; Steven Henikoff
Journal:  Elife       Date:  2017-01-16       Impact factor: 8.140

9.  ChEC-seq kinetics discriminates transcription factor binding sites by DNA sequence and shape in vivo.

Authors:  Gabriel E Zentner; Sivakanthan Kasinathan; Beibei Xin; Remo Rohs; Steven Henikoff
Journal:  Nat Commun       Date:  2015-10-22       Impact factor: 14.919

10.  High-Resolution Genome-Wide Occupancy in Candida spp. Using ChEC-seq.

Authors:  Faiza Tebbji; Inès Khemiri; Adnane Sellam
Journal:  mSphere       Date:  2020-10-14       Impact factor: 4.389

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  1 in total

Review 1.  Overexpression approaches to advance understanding of Candida albicans.

Authors:  Laxmi Shanker Rai; Lasse van Wijlick; Murielle Chauvel; Christophe d'Enfert; Mélanie Legrand; Sophie Bachellier-Bassi
Journal:  Mol Microbiol       Date:  2021-10-18       Impact factor: 3.979

  1 in total

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