Nature communications · 2015
Systematic functional profiling of transcription factor networks in Cryptococcus neoformans.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Jung Kwang-Woo, Yang Dong-Hoon, Maeng Shinae, Lee Kyung-Tae, So Yee-Seul, Hong Joohyeon, Choi Jaeyoung, Byun Hyo-Jeong, Kim Hyelim, Bang Soohyun, Song Min-Hee, Lee Jang-Won, Kim Min Su, Kim Seo-Young, Ji Je-Hyun, Park Goun, Kwon Hyojeong, Cha Suyeon, Meyers Gena Lee, Wang Li Li, Jang Jooyoung, Janbon Guilhem, Adedoyin Gloria, Kim Taeyup, Averette Anna K, Heitman Joseph, Cheong Eunji, Lee Yong-Hwan, Lee Yin-Won, Bahn Yong-Sun
Аннотация
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.