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Systematic functional profiling of transcription factor networks in Cryptococcus neoformans

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  • Kwang-Woo Jung

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Dong-Hoon Yang

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Shinae Maeng

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Kyung-Tae Lee

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Yee-Seul So

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Joohyeon Hong

    (College of Life Science and Biotechnology, Yonsei University)

  • Jaeyoung Choi

    (Center for Fungal Pathogenesis, Seoul National University)

  • Hyo-Jeong Byun

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Hyelim Kim

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Soohyun Bang

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Min-Hee Song

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Jang-Won Lee

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Min Su Kim

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Seo-Young Kim

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Je-Hyun Ji

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Goun Park

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Hyojeong Kwon

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Suyeon Cha

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Gena Lee Meyers

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Li Li Wang

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Jooyoung Jang

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

  • Guilhem Janbon

    (Unité Biologie et Pathogénicité Fongiques, Institut Pasteur)

  • Gloria Adedoyin

    (Medicine, and Pharmacology and Cancer Biology, Duke University Medical Center)

  • Taeyup Kim

    (Medicine, and Pharmacology and Cancer Biology, Duke University Medical Center)

  • Anna K. Averette

    (Medicine, and Pharmacology and Cancer Biology, Duke University Medical Center)

  • Joseph Heitman

    (Medicine, and Pharmacology and Cancer Biology, Duke University Medical Center)

  • Eunji Cheong

    (College of Life Science and Biotechnology, Yonsei University)

  • Yong-Hwan Lee

    (Center for Fungal Pathogenesis, Seoul National University)

  • Yin-Won Lee

    (Center for Fungal Pathogenesis, Seoul National University)

  • Yong-Sun Bahn

    (Center for Fungal Pathogenesis, College of Life Science and Biotechnology, Yonsei University)

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.

Suggested Citation

  • 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 & S, 2015. "Systematic functional profiling of transcription factor networks in Cryptococcus neoformans," Nature Communications, Nature, vol. 6(1), pages 1-14, November.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7757
    DOI: 10.1038/ncomms7757
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    Cited by:

    1. Xindi Gao & Yi Fu & Shengyi Sun & Tingyi Gu & Yanjian Li & Tianshu Sun & Hailong Li & Wei Du & Chenhao Suo & Chao Li & Yiru Gao & Yang Meng & Yue Ni & Sheng Yang & Tian Lan & Sixiang Sai & Jiayi Li & , 2022. "Cryptococcal Hsf3 controls intramitochondrial ROS homeostasis by regulating the respiratory process," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

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