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Systematic functional profiling of transcription factor networks in Cryptococcus neoformans
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 Authours
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Kwang-Woo Jung˘Ó, Dong-Hoon Yang˘Ó, 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 Wang, Jooyoung Jang, Guilhem Janbon, Gloria Adedoyin, Taeyup Kim, Anna K. Averette, Joseph Heitman, Eunji Cheong, Yong-Hwan Lee, Yin-Won Lee & Yong-Sun Bahn |
| Title |
Systematic functional profiling of transcription factor networks in Cryptococcus neoformans |
| Journal |
NATURE COMMUNICATIONS, 2015 (6) ~ |
Abstract
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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 B85% 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. |
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