Evidence map›Paper›PMID 12397174›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2002

Metabolic specialization associated with phenotypic switching in Candidaalbicans.

Chung-Yu Lan, George Newport, Luis A Murillo, Ted Jones, Stewart Scherer, Ronald W Davis, Nina Agabian

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.

0numbers the graph read from it
0cells of the map it votes in
154citing 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

154 citing papers in PubMed.

  1. Article
  2. Response ofmSphere · 2026
    Article
  3. Genetic and environmental control of parasexual reproduction in the pathogenicMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  4. Whole-chromosome duplications drive antimicrobial resistance inbioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. White-opaque switching inMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  9. Strain background ofMicrobiology (Reading, England) · 2024
    Article
  10. Article
  11. Review
  12. Cell-type memory in a single-cell eukaryote requires the continuous presence of a specific transcription regulator.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Role of Cellular Metabolism duringPathogens (Basel, Switzerland) · 2022
    Review
  16. Article
  17. Article
  18. Role of themBio · 2021
    Article
  19. Review
  20. Article

94 more citing papers are in PubMed but not listed here.

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.

Chung-Yu LanDepartment of Stomatology, University of California, San Francisco 94143, USA.
George Newport
Luis A Murillo
Ted Jones
Stewart Scherer
Ronald W Davis
Nina Agabian

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
ORAL MANIFESTATIONS OF THE ACQUIRED IMMUNODEFICIENCY SP01DE007946 · NIDCR · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI GREENSPAN, JOHN S · 1987 to 2004
$5.8M
GENOMIC APPROACHES TO CANDIDA VIRULENCER01DE012940 · NIDCR · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI AGABIAN, NINA · 1999 to 2001
$582k
A NEW ES CELL DELETION RESOURCE AND WILLIAMS SYNDROMEF32HG000205 · NHGRI · JACKSON LABORATORY · PI GOODWIN, NEAL C · 1999 to 1999
–
NHGRI NIH HHS F32 HG000205NHGRI NIH HHS P01 HG000205NIDCR NIH HHS 1R01DE12940-01NIDCR NIH HHS P01 DE007946NIDCR NIH HHS P01DE07946
6 · The paper itself

Abstract

Phase and antigenic variation are mechanisms used by microbial pathogens to stochastically change their cell surface composition. A related property, referred to as phenotypic switching, has been described for some pathogenic fungi. This phenomenon is best studied in Candida albicans, where switch phenotypes vary in morphology, physiology, and pathogenicity in experimental models. In this study, we report an application of a custom Affymetrix GeneChip representative of the entire C. albicans genome and assay the global expression profiles of white and opaque switch phenotypes of the WO-1 strain. Of 13,025 probe sets examined, 373 ORFs demonstrated a greater than twofold difference in expression level between switch phenotypes. Among these, 221 were expressed at a level higher in opaque cells than in white cells; conversely, 152 were more highly expressed in white cells. Affected genes represent functions as diverse as metabolism, adhesion, cell surface composition, stress response, signaling, mating type, and virulence. Approximately one-third of the differences between cell types are related to metabolic pathways, opaque cells expressing a transcriptional profile consistent with oxidative metabolism and white cells expressing a fermentative one. This bias was obtained regardless of carbon source, suggesting a connection between phenotypic switching and metabolic flexibility, where metabolic specialization of switch phenotypes enhances selection in relation to the nutrients available at different anatomical sites. These results extend our understanding of strategies used in microbial phase variation and pathogenesis and further characterize the unanticipated diversity of genes expressed in phenotypic switching.

Indexed as

Base SequenceCandida albicansCell CycleDNA PrimersOligonucleotide Array Sequence AnalysisPhenotypePolymerase Chain ReactionReproducibility of ResultsRNA, FungalDNA PrimersRNA, Fungal

Identifiers

PMID12397174
PMCPMC137518

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.