Systematic functional profiling of transcription factor networks in Cryptococcus neoformans.

Published online

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Jung, K-W; Yang, D-H; Maeng, S; Lee, K-T; So, Y-S; Hong, J; Choi, J; Byun, H-J; Kim, H; Bang, S; Song, M-H; Lee, J-W; Kim, MS; Kim, S-Y; Ji, J-H; Park, G; Kwon, H; Cha, S; Meyers, GL; Wang, LL; Jang, J; Janbon, G; Adedoyin, G; Kim, T; Averette, AK; Heitman, J; Cheong, E; Lee, Y-H; Lee, Y-W; Bahn, Y-S

Published Date

  • April 7, 2015

Published In

Volume / Issue

  • 6 /

Start / End Page

  • 6757 -

PubMed ID

  • 25849373

Pubmed Central ID

  • 25849373

Electronic International Standard Serial Number (EISSN)

  • 2041-1723

Digital Object Identifier (DOI)

  • 10.1038/ncomms7757

Language

  • eng

Conference Location

  • England