RNA-Seq Dataset of <em>Candida tropicalis</em> Under Antifungal Stress: Transcriptomic Profiles Supporting Studies on Adaptation and Resistance
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Candida tropicalis is one of the main causes of invasive candidiasis. Its ability to form powerful biofilms and its resistance to the antifungals used for its control make it a pathogen of great relevance and global concern. The purpose of this study is to show data on the changes in the transcriptome of C. tropicalis caused by the natural monoterpene isoespintanol (ISO). We present an RNA-Seq dataset profiling the transcriptomic response of C. tropicalis exposed to antifungal treatment ISO compared to untreated controls. RNA was extracted from six biological samples and sequenced using the Illumina NovaSeq platform, generating over 160 million paired end reads with an average mapping rate of 84% against the C. tropicalis reference genome (GCA_000006335v3 The dataset includes the processed read-count table, normalized expression matrices and a list of differentially expressed transcripts, along with metadata describing experimental conditions, sequencing platform, mapping statistics, and treatment information. Together, these files enable downstream analyses of differential expression, functional enrichment, and comparative antifungal response. This dataset constitutes a valuable resource for exploring molecular mechanisms of antifungal response and adaptation in Candida species.