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Updated: Dec 14, 2025

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
Published on: January 13, 2016
Transcriptomic profiling identifies novel transcripts, isomorphs, and noncoding RNAs in Paracoccidioides brasiliensis
Fabiano B Menegidio1, David Aciole Barbosa1, Valquíria C Alencar1,2
1Núcleo Integrado de Biotecnologia, Universidade de Mogi das Cruzes (UMC), Brazil.
Abstract:
This paper describes a transcriptomic profiling of Paracoccidioides brasiliensis (Pb) performed with the aid of an RNA-seq-based approach, aimed at characterizing the general transcriptome in this human pathogenic fungus, responsible for paracoccidioidomycosis (PCM). Results confirm that ∼75% of the genes currently annotated in the P. brasiliensis genome are, in fact, transcribed in vivo and that ∼19% of them may display alternative isomorphs. Moreover, we identified 627 transcripts that do not match any gene currently mapped in the genome, represented by 114 coding transcripts (probably derived from previously unmapped protein-coding genes) and 513 noncoding RNAs (ncRNAs), including 203 long-noncoding RNAs (lncRNAs).
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