Evidence map›Paper›PMID 35524117›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

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

Lasse van Wijlick, Ansh Goyal, Sophie Bachellier-Bassi, Christophe d'Enfert

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 85% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

4 authors at 2 institutions in 2 countries.

Lasse van WijlickUnité Biologie et Pathogénicité Fongiques, Département de Mycologie, Institut Pasteur, USC 2019 INRAE, Paris, France. lasse.van-wijlick@pasteur.fr.ORCID https://orcid.org/0000-0001-5222-1866
Ansh GoyalUnité Biologie et Pathogénicité Fongiques, Département de Mycologie, Institut Pasteur, USC 2019 INRAE, Paris, France.ORCID https://orcid.org/0000-0002-5608-5889
Sophie Bachellier-BassiUnité Biologie et Pathogénicité Fongiques, Département de Mycologie, Institut Pasteur, USC 2019 INRAE, Paris, France.ORCID https://orcid.org/0000-0003-3970-4825
Christophe d'EnfertUnité Biologie et Pathogénicité Fongiques, Département de Mycologie, Institut Pasteur, USC 2019 INRAE, Paris, France.ORCID https://orcid.org/0000-0002-6235-3886
Institut Pasteur · FRNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Candida albicansYeastsChromatinChromatin ImmunoprecipitationGene Regulatory NetworksChromatinCandida albicansChromatin immunoprecipitationGene-regulatory networksMass spectrometryNext-generation sequencingYeast

Identifiers

PMID35524117
OpenAlexW4285150312

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.