Your browser doesn't support javascript.
loading
Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies.
Wooten, David J; Zañudo, Jorge Gómez Tejeda; Murrugarra, David; Perry, Austin M; Dongari-Bagtzoglou, Anna; Laubenbacher, Reinhard; Nobile, Clarissa J; Albert, Réka.
Afiliação
  • Wooten DJ; Department of Physics, Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Zañudo JGT; Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.
  • Murrugarra D; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Perry AM; Department of Mathematics, University of Kentucky, Lexington, Kentucky, United States of America.
  • Dongari-Bagtzoglou A; Department of Molecular and Cell Biology, School of Natural Sciences, University of California Merced, Merced, California, United States of America.
  • Laubenbacher R; Quantitative and Systems Biology Graduate Program, University of California Merced, Merced, California, United States of America.
  • Nobile CJ; Department of Oral Health and Diagnostic Sciences, University of Connecticut Health Center, Farmington, Connecticut, United States of America.
  • Albert R; Department of Medicine, University of Florida, Gainesville, Florida, United States of America.
PLoS Comput Biol ; 17(3): e1008690, 2021 03.
Article em En | MEDLINE | ID: mdl-33780439
Candida albicans, an opportunistic fungal pathogen, is a significant cause of human infections, particularly in immunocompromised individuals. Phenotypic plasticity between two morphological phenotypes, yeast and hyphae, is a key mechanism by which C. albicans can thrive in many microenvironments and cause disease in the host. Understanding the decision points and key driver genes controlling this important transition and how these genes respond to different environmental signals is critical to understanding how C. albicans causes infections in the host. Here we build and analyze a Boolean dynamical model of the C. albicans yeast to hyphal transition, integrating multiple environmental factors and regulatory mechanisms. We validate the model by a systematic comparison to prior experiments, which led to agreement in 17 out of 22 cases. The discrepancies motivate alternative hypotheses that are testable by follow-up experiments. Analysis of this model revealed two time-constrained windows of opportunity that must be met for the complete transition from the yeast to hyphal phenotype, as well as control strategies that can robustly prevent this transition. We experimentally validate two of these control predictions in C. albicans strains lacking the transcription factor UME6 and the histone deacetylase HDA1, respectively. This model will serve as a strong base from which to develop a systems biology understanding of C. albicans morphogenesis.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Candida albicans / Hifas / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Candida albicans / Hifas / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos