Evidence map›Paper›PMID 24681685›Full record

ArticleEukaryotic cell2014

Modeling the transcriptional regulatory network that controls the early hypoxic response in Candida albicans.

Adnane Sellam, Marco van het Hoog, Faiza Tebbji, Cécile Beaurepaire, Malcolm Whiteway, André Nantel

Abstract read
In one paragraph

Article in Eukaryotic cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
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

48 citing papers in PubMed.

  1. Two Ume6 target gene classes in the biofilm regulatory network ofbioRxiv : the preprint server for biology · 2026
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  5. Transcriptomic insights intoMicrobiology spectrum · 2025
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  13. Selection of Ethanol Tolerant Strains ofbioRxiv : the preprint server for biology · 2023
    Article
  14. Review
  15. Article
  16. CONPJ biofilms and microbiomes · 2021
    Article
  17. Review
  18. Article
  19. Function Analysis ofFrontiers in fungal biology · 2021
    Article
  20. Transcriptional Control of Hypoxic Hyphal Growth in the Fungal PathogenFrontiers in cellular and infection microbiology · 2021
    Article
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

6 authors.

Adnane SellamInfectious Diseases Research Centre, CHUL Research Centre (CHUQ), Laval University, Quebec City, QC, Canada.
Marco van het Hoog
Faiza Tebbji
Cécile Beaurepaire
Malcolm Whiteway
André Nantel

Funding

CIHR 42516-4CIHR 79843-1CIHR 84341-1CIHR CTP 79843
6 · The paper itself

Abstract

We determined the changes in transcriptional profiles that occur in the first hour following the transfer of Candida albicans to hypoxic growth conditions. The impressive speed of this response is not compatible with current models of fungal adaptation to hypoxia that depend on the depletion of sterol and heme. Functional analysis using Gene Set Enrichment Analysis (GSEA) identified the Sit4 phosphatase, Ccr4 mRNA deacetylase, and Sko1 transcription factor (TF) as potential regulators of the early hypoxic response. Cells mutated in these and other regulators exhibit a delay in their transcriptional responses to hypoxia. Promoter occupancy data for 29 TFs were combined with the transcriptional profiles of 3,111 in vivo target genes in a Network Component Analysis (NCA) to produce a model of the dynamic and highly interconnected TF network that controls this process. With data from the TF network obtained from a variety of sources, we generated an edge and node model that was capable of separating many of the hypoxia-upregulated and -downregulated genes. Upregulated genes are centered on Tye7, Upc2, and Mrr1, which are associated with many of the gene promoters that exhibit the strongest activations. The connectivity of the model illustrates the high redundancy of this response system and the challenges that lie in determining the individual contributions of specific TFs. Finally, treating cells with an inhibitor of the oxidative phosphorylation chain mimics most of the early hypoxic profile, which suggests that this response may be initiated by a drop in ATP production.

Indexed as

Gene Expression Regulation, FungalGene Regulatory NetworksModels, GeneticCandida albicansFungal ProteinsOxidative PhosphorylationOxygenTranscription FactorsFungal ProteinsOxygenTranscription Factors

Identifiers

PMID24681685
PMCPMC4060469

What OpenQuestion holds

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Registered trials

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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.