Evidence map›Paper›PMID 35435920›Full record

ArticleJournal of visualized experiments : JoVE2022

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow.

Mohammad N Qasim, Ashley Valle Arevalo, Akshay D Paropkari, Craig L Ennis, Suzanne S Sindi, Clarissa J Nobile, Aaron D Hernday

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. mSphere · 2025
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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

7 authors at 1 institution in 1 country.

Mohammad N Qasim *Department of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced.
Ashley Valle Arevalo *Department of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced.
Akshay D Paropkari *Department of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced.
Craig L EnnisDepartment of Molecular and Cell Biology, University of California, Merced; Quantitative and Systems Biology Graduate Program, University of California, Merced; Health Sciences Research Institute, University of California, Merced.
Suzanne S SindiDepartment of Applied Mathematics, University of California, Merced.
Clarissa J NobileDepartment of Molecular and Cell Biology, University of California, Merced; Health Sciences Research Institute, University of California, Merced; cnobile@ucmerced.edu.
Aaron D HerndayDepartment of Molecular and Cell Biology, University of California, Merced; Health Sciences Research Institute, University of California, Merced; ahernday@ucmerced.edu.
University of California, Merced · US

Funding

Genetic regulation of inter- and intra-species microbial community formationR35GM124594 · NIGMS · UNIVERSITY OF CALIFORNIA, MERCED · PI NOBILE, CLARISSA JANE · 2017 to 2021
$2.0M
Development of a high-throughput assay for Candida albicans cell-type switchingR15AI137975 · NIAID · UNIVERSITY OF CALIFORNIA, MERCED · PI HERNDAY, AARON D · 2019 to 2019
$444k
Genetic regulation of antifungal drug resistance in Candida albicansF31DE028488 · NIDCR · UNIVERSITY OF CALIFORNIA, MERCED · PI ENNIS, CRAIG LEWIS · 2019 to 2021
$101k
NIAID NIH HHS R15 AI137975NIDCR NIH HHS F31 DE028488NIGMS NIH HHS R35 GM124594
6 · The paper itself

Abstract

Regulatory transcription factors control many important biological processes, including cellular differentiation, responses to environmental perturbations and stresses, and host-pathogen interactions. Determining the genome-wide binding of regulatory transcription factors to DNA is essential to understanding the function of transcription factors in these often complex biological processes. Cleavage under targets and release using nuclease (CUT&RUN) is a modern method for genome-wide mapping of in vivo protein-DNA binding interactions that is an attractive alternative to the traditional and widely used chromatin immunoprecipitation followed by sequencing (ChIP-seq) method. CUT&RUN is amenable to a higher-throughput experimental setup and has a substantially higher dynamic range with lower per-sample sequencing costs than ChIP-seq. Here, a comprehensive CUT&RUN protocol and accompanying data analysis workflow tailored for genome-wide analysis of transcription factor-DNA binding interactions in the human fungal pathogen Candida albicans are described. This detailed protocol includes all necessary experimental procedures, from epitope tagging of transcription factor-coding genes to library preparation for sequencing; additionally, it includes a customized computational workflow for CUT&RUN data analysis.

Indexed as

Candida albicansTranscription FactorsData AnalysisDNAEndonucleasesHigh-Throughput Nucleotide SequencingHumansWorkflowDNAEndonucleasesTranscription Factors

Identifiers

PMID35435920
PMCPMC9704063
OpenAlexW4224210551

What OpenQuestion holds

Textmetadata
LicenceTDM
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.