TY - JOUR
T1 - Dissecting Candida pathobiology
T2 - Post-Translational modifications on the Candida tropicalis proteome
AU - Patil, Arun H.
AU - Datta, Keshava K.
AU - Behera, Santosh Kumar
AU - Kasaragod, Sandeep
AU - Pinto, Sneha M.
AU - Koyangana, Shashanka G.
AU - Mathur, Premendu P.
AU - Gowda, Harsha
AU - Pandey, Akhilesh
AU - Prasad, Thottethodi Subrahmanya Keshava
N1 - Funding Information:
We thank the Government of Karnataka for funding Ye-nepoya (Deemed to be University) under Biotechnology Skill Enhancement Programme (BiSEP). We also thank the Department of Biotechnology (DBT), Government of India for research support to the Institute of Bioinformatics. We thank the ‘‘Infosys Foundation’’ for research support to the Institute of Bioinformatics. S.K.B. is a recipient of BINC-Junior Research Fellowship from DBT, Government of India. S.M.P. is a recipient of INSPIRE Faculty Award from the Department of Science and Technology (DST), Government of India.
Publisher Copyright:
© Mary Ann Liebert, Inc.
PY - 2018
Y1 - 2018
N2 - Candida tropicalis belongs to the non-albicans group of Candida, and causes epidermal, mucosal, or systemic candidiasis in immunocompromised individuals. Although the prevalence of candidiasis has increased worldwide and non-albicans Candida (NAC) are becoming more significant, there are very few studies that focus on the NAC biology. Proteins and their post-translational modifications (PTMs) are an integral aspect in the pathobiology of such medically important fungi. Previously, we had reported the largest proteomic catalog of C. tropicalis. Notably, PTMs can be identified from proteomics data without a priori enrichment for a particular PTM, thus allowing broad-scale omics analyses. In this study, we developed the ''PTM-Pro,'' a graphical user interface-based tool for identification and summary of high-confidence PTM sites based on statistical threshold of users' choice. We mined available proteomic data of C. tropicalis, and using PTM-Pro identified nearly 600 high-confidence PTM sites. The PTMs identified include phosphorylation of serine, threonine, and tyrosine; acetylation, crotonylation, methylation, and succinylation of lysine. These PTMs reside on biologically significant molecules, including histones, enzymes, and transcription factors. To our knowledge, this is the first report of PTMs in C. tropicalis and lays a foundation for future investigations of C. tropicalis PTMs. In addition, the PTM-Pro offers a graphical user interface tool for research on PTM sites in the field of proteomics.
AB - Candida tropicalis belongs to the non-albicans group of Candida, and causes epidermal, mucosal, or systemic candidiasis in immunocompromised individuals. Although the prevalence of candidiasis has increased worldwide and non-albicans Candida (NAC) are becoming more significant, there are very few studies that focus on the NAC biology. Proteins and their post-translational modifications (PTMs) are an integral aspect in the pathobiology of such medically important fungi. Previously, we had reported the largest proteomic catalog of C. tropicalis. Notably, PTMs can be identified from proteomics data without a priori enrichment for a particular PTM, thus allowing broad-scale omics analyses. In this study, we developed the ''PTM-Pro,'' a graphical user interface-based tool for identification and summary of high-confidence PTM sites based on statistical threshold of users' choice. We mined available proteomic data of C. tropicalis, and using PTM-Pro identified nearly 600 high-confidence PTM sites. The PTMs identified include phosphorylation of serine, threonine, and tyrosine; acetylation, crotonylation, methylation, and succinylation of lysine. These PTMs reside on biologically significant molecules, including histones, enzymes, and transcription factors. To our knowledge, this is the first report of PTMs in C. tropicalis and lays a foundation for future investigations of C. tropicalis PTMs. In addition, the PTM-Pro offers a graphical user interface tool for research on PTM sites in the field of proteomics.
KW - Bioinformatics
KW - Candidiasis
KW - Infectious diseases
KW - Mass spectrometry
KW - Proteomics
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U2 - 10.1089/omi.2018.0093
DO - 10.1089/omi.2018.0093
M3 - Article
C2 - 30106353
AN - SCOPUS:85056267531
SN - 1536-2310
VL - 22
SP - 544
EP - 552
JO - OMICS A Journal of Integrative Biology
JF - OMICS A Journal of Integrative Biology
IS - 8
ER -