Evidence map›Paper›PMID 39126650›Full record

ArticleCell reports2024

Functional genomic analysis of genes important for Candida albicans fitness in diverse environmental conditions.

Emily H Xiong, Xiang Zhang, Huijuan Yan, Henry N Ward, Zhen-Yuan Lin, Cassandra J Wong, Ci Fu, Anne-Claude Gingras, Suzanne M Noble, Nicole Robbins and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genomic analyses reveal high diversity and rapid evolution ofAntimicrobial agents and chemotherapy · 2025
    Article
  9. 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

12 authors.

Emily H XiongDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Xiang ZhangDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Huijuan YanDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA 94143, USA.
Henry N WardDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Bioinformatics and Computational Biology Graduate Program, University of Minnesota, Minneapolis, MN 55455, USA.
Zhen-Yuan LinLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON M5G 1X5, Canada.
Cassandra J WongLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON M5G 1X5, Canada.
Ci FuDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Anne-Claude GingrasDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON M5G 1X5, Canada.
Suzanne M NobleDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA 94143, USA.
Nicole RobbinsDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Chad L MyersDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA; Bioinformatics and Computational Biology Graduate Program, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: chadm@umn.edu.
Leah E CowenDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada. Electronic address: leah.cowen@utoronto.ca.

Funding

Systematic Analysis of Morphogenesis, Commensalism, and Virulence in a Leading Human Fungal PathogenR01AI127375 · NIAID · UNIVERSITY OF TORONTO · PI LEAH Elizabeth Cowen · 2017 to 2026
$5.3M
Methods for large-scale analysis of chemical-genetic interactionsR01HG005084 · NHGRI · UNIVERSITY OF MINNESOTA · PI MYERS, CHAD L · 2010 to 2022
$2.9M
NHGRI NIH HHS R01 HG005084NIAID NIH HHS R01 AI127375
6 · The paper itself

Abstract

Fungal pathogens such as Candida albicans pose a significant threat to human health with limited treatment options available. One strategy to expand the therapeutic target space is to identify genes important for pathogen growth in host-relevant environments. Here, we leverage a pooled functional genomic screening strategy to identify genes important for fitness of C. albicans in diverse conditions. We identify an essential gene with no known Saccharomyces cerevisiae homolog, C1_09670C, and demonstrate that it encodes subunit 3 of replication factor A (Rfa3). Furthermore, we apply computational analyses to identify functionally coherent gene clusters and predict gene function. Through this approach, we predict the cell-cycle-associated function of C3_06880W, a previously uncharacterized gene required for fitness specifically at elevated temperatures, and follow-up assays confirm that C3_06880W encodes Iml3, a component of the C. albicans kinetochore with roles in virulence in vivo. Overall, this work reveals insights into the vulnerabilities of C. albicans.

Indexed as

Candida albicansFungal ProteinsGenetic FitnessGenome, FungalGenomicsHumansVirulenceFungal ProteinsCandida albicansCP: GenomicsCP: MicrobiologyDNA damage repairfitnessfunctional genomicsfungal pathogenGalleria mellonellakinetochorevirulence

Identifiers

PMID39126650
PMCPMC11416860

What OpenQuestion holds

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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.