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Laser Capture Microdissection-Assisted Protein Biomarker Discovery from Coccidioides-Infected Lung Tissue.


ABSTRACT: Laser capture microdissection (LCM) coupled to label-free quantitative mass spectrometry is a viable strategy to identify biomarkers from infected tissues. In this study, LCM was employed to take a "snapshot" of proteins produced in vivo during Coccidiodies spp. infection in human lungs. Proteomic analysis of LCM lung sections revealed hundreds of hosts and Coccidioidal proteins. Twenty-seven highly abundant Coccidioides spp. proteins were identified which do not share significant sequence orthology with human proteins. Three of the 27 Coccidioidal proteins are also potential Coccidoides-specific biomarkers, as they also do not share sequence homology to any other pathogenic fungus or microbe. Gene ontology analysis of the 27 biomarker candidate proteins revealed enriched hydrolase activity and increased purine and carbohydrate metabolism functions. Finally, we provide proteomic evidence that all 27 biomarker candidates are produced by the fungus when grown in vitro in a media- and growth-phase dependent manner.

SUBMITTER: Mitchell NM 

PROVIDER: S-EPMC7765061 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Laser Capture Microdissection-Assisted Protein Biomarker Discovery from <i>Coccidioides</i>-Infected Lung Tissue.

Mitchell Natalie M NM   Dasari Surendra S   Grys Thomas E TE   Lake Douglas F DF  

Journal of fungi (Basel, Switzerland) 20201214 4


Laser capture microdissection (LCM) coupled to label-free quantitative mass spectrometry is a viable strategy to identify biomarkers from infected tissues. In this study, LCM was employed to take a "snapshot" of proteins produced in vivo during <i>Coccidiodies</i> spp. infection in human lungs. Proteomic analysis of LCM lung sections revealed hundreds of hosts and Coccidioidal proteins. Twenty-seven highly abundant <i>Coccidioides</i> spp. proteins were identified which do not share significant  ...[more]

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2016-09-01 | GSE68531 | GEO