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Datasets of Iso-Seq transcripts for decoding transcriptome complexity in four Leishmania species

The Iso-Seq technology, based on PacBio sequencing, enables the generation of high-quality, full-length transcripts, providing insights into transcriptome complexity. In this study, total RNA from promastigotes of four Leishmania species (Leishmania braziliensis, Leishmania donovani, Leishmania infa...

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Published in:Data in brief 2024-02, Vol.52, p.109838-109838, Article 109838
Main Authors: González-de la Fuente, Sandra, Requena, Jose M., Aguado, Begoña
Format: Article
Language:English
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Summary:The Iso-Seq technology, based on PacBio sequencing, enables the generation of high-quality, full-length transcripts, providing insights into transcriptome complexity. In this study, total RNA from promastigotes of four Leishmania species (Leishmania braziliensis, Leishmania donovani, Leishmania infantum and Leishmania major) was sequenced using Single Molecule, Real-Time (SMRT) Sequencing (PacBio) methodology. The Iso-seq transcripts were categorized as either complete or truncated according to the presence or absence of the Spliced-Leader (SL) sequence at their 5′-end, respectively. Moreover, only transcripts having a poly-A+ at their 3’-end were considered. Supplied datasets represent valuable information that may help to uncover novel transcripts and alternative splicing events in a parasite that regulates its gene expression at the post-transcriptional level. A better knowledge of gene expression regulation in Leishmania will open avenues for the development of new drugs to treat leishmaniasis, a devastating disease that has worldwide distribution. Additionally, the bioinformatics pipeline followed here may guide the analysis of Iso-Seq data derived from related trypanosomatids like Trypanosoma cruzi (Chagas disease agent) and Trypanosoma brucei (sleeping disease). © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2023.109838