Evidence map›Paper›PMID 20516494›Full record

ArticleGenetics2010

Comparative transcriptome analysis of the CO2 sensing pathway via differential expression of carbonic anhydrase in Cryptococcus neoformans.

Min Su Kim, Young-Joon Ko, Shinae Maeng, Anna Floyd, Joseph Heitman, Yong-Sun Bahn

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

33 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. High Carbon Dioxide Concentration Inhibits Pileus Growth ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  4. COProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Effects of COCurrent opinion in microbiology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. The impact of bZIP Atf1ortholog global regulators in fungi.Applied microbiology and biotechnology · 2021
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Stress-Activated Protein Kinases in Human Fungal Pathogens.Frontiers in cellular and infection microbiology · 2019
    Review
  16. Article
  17. Pseudohyphae formation inCurrent medical mycology · 2016
    Article
  18. Article
  19. Review
  20. New technology and resources for cryptococcal research.Fungal genetics and biology : FG & B · 2015
    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

6 authors at 2 institutions in 2 countries.

Min Su KimDepartment of Biotechnology, Center for Fungal Pathogenesis, Yonsei University, Seoul 120-749, Korea.
Young-Joon Ko
Shinae Maeng
Anna Floyd
Joseph Heitman
Yong-Sun Bahn
Yonsei University · KRDuke Medical Center · US

Funding

Novel Antifungal Therapeutic ApproachesR01AI050438 · NIAID · DUKE UNIVERSITY · PI HEITMAN, JOSEPH · 2001 to 2012
$3.3M
GPCR signaling cascades in Cryptococcus neoformansR21AI070230 · NIAID · DUKE UNIVERSITY · PI HEITMAN, JOSEPH · 2007 to 2008
$425k
NIAID NIH HHS R01 AI050438NIAID NIH HHS R01 AI50438NIAID NIH HHS R21 AI070230NIAID NIH HHS R21 AI70230
6 · The paper itself

Abstract

Carbon dioxide (CO(2)) sensing and metabolism via carbonic anhydrases (CAs) play pivotal roles in survival and proliferation of pathogenic fungi infecting human hosts from natural environments due to the drastic difference in CO(2) levels. In Cryptococcus neoformans, which causes fatal fungal meningoencephalitis, the Can2 CA plays essential roles during both cellular growth in air and sexual differentiation of the pathogen. However the signaling networks downstream of Can2 are largely unknown. To address this question, the present study employed comparative transcriptome DNA microarray analysis of a C. neoformans strain in which CAN2 expression is artificially controlled by the CTR4 (copper transporter) promoter. The P(CTR4)CAN2 strain showed growth defects in a CO(2)-dependent manner when CAN2 was repressed but resumed normal growth when CAN2 was overexpressed. The Can2-dependent genes identified by the transcriptome analysis include FAS1 (fatty acid synthase 1) and GPB1 (G-protein beta subunit), supporting the roles of Can2 in fatty acid biosynthesis and sexual differentiation. Cas3, a capsular structure designer protein, was also discovered to be Can2-dependent and yet was not involved in CO(2)-mediated capsule induction. Most notably, a majority of Can2-dependent genes were environmental stress-regulated (ESR) genes. Supporting this, the CAN2 overexpression strain was hypersensitive to oxidative and genotoxic stress as well as antifungal drugs, such as polyene and azole drugs, potentially due to defective membrane integrity. Finally, an oxidative stress-responsive Atf1 transcription factor was also found to be Can2-dependent. Atf1 not only plays an important role in diverse stress responses, including thermotolerance and antifungal drug resistance, but also represses melanin and capsule production in C. neoformans. In conclusion, this study provides insights into the comprehensive signaling networks orchestrated by CA/CO(2)-sensing pathways in pathogenic fungi.

Indexed as

Bacterial ProteinsCarbon DioxideCarbonic AnhydrasesCluster AnalysisCopperCryptococcosisCryptococcus neoformansFungal ProteinsGene Expression ProfilingGene Expression Regulation, BacterialHumansMeningoencephalitisMutationOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionSignal TransductionBacterial ProteinsCarbon DioxideCarbonic AnhydrasesCopperFungal Proteins

Identifiers

PMID20516494
PMCPMC2927750
OpenAlexW2081959052

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.