Systematic functional profiling of transcription factor networks in Cryptococcus neoformans

Kwang Woo Jung, Dong Hoon Yang, Shinae Maeng, Kyung Tae Lee, Yee Seul So, Joohyeon Hong, Jaeyoung Choi, Hyo Jeong Byun, Hyelim Kim, Soohyun Bang, Min Hee Song, Jang Won Lee, Min Su Kim, Seo Young Kim, Je Hyun Ji, Goun Park, Hyojeong Kwon, Suyeon Cha, Gena Lee Meyers, Li Li WangJooyoung Jang, Guilhem Janbon, Gloria Adedoyin, Taeyup Kim, Anna K. Averette, Joseph Heitman, Eunji Cheong, Yong Hwan Lee, Yin Won Lee, Yong Sun Bahn

Research output: Contribution to journalArticlepeer-review

142 Citations (Scopus)

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.

Original languageEnglish
Article number6757
JournalNature Communications
Volume6
DOIs
Publication statusPublished - 13 Apr 2015

Bibliographical note

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© 2015 Macmillan Publishers Limited.

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