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Nat Commun. 2015 Apr 7;6:6757. doi: 10.1038/ncomms7757.

Systematic functional profiling of transcription factor networks in Cryptococcus neoformans.

Author information

  • 1Department of Biotechnology, Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University, Seoul 120-749, Korea.
  • 2Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 120-749, Korea.
  • 3Department of Agricultural Biotechnology, Center for Fungal Pathogenesis, Seoul National University, Seoul 151-921, Korea.
  • 4Unité Biologie et Pathogénicité Fongiques, Département de Mycologie, Institut Pasteur, Paris F-75015, France.
  • 5Department of Molecular Genetics and Microbiology, Medicine, and Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.

Abstract

Cryptococcus neoformans causes life-threatening meningoencephalitis in humans, but its overall biological and pathogenic regulatory circuits remain elusive, particularly due to the presence of an evolutionarily divergent set of transcription factors (TFs). Here, we report the construction of a high-quality library of 322 signature-tagged gene-deletion strains for 155 putative TF genes previously predicted using the DNA-binding domain TF database, and examine their in vitro and in vivo phenotypic traits under 32 distinct growth conditions. At least one phenotypic trait is exhibited by 145 out of 155 TF mutants (93%) and ∼85% of them (132/155) are functionally characterized for the first time in this study. The genotypic and phenotypic data for each TF are available in the C. neoformans TF phenome database (http://tf.cryptococcus.org). In conclusion, our phenome-based functional analysis of the C. neoformans TF mutant library provides key insights into transcriptional networks of basidiomycetous fungi and human fungal pathogens.

PMID:
25849373
PMCID:
PMC4391232
DOI:
10.1038/ncomms7757
[PubMed - indexed for MEDLINE]
Free PMC Article
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