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

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

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/).

Apa Reference González-de la Fuente, S., Requena, J.M. & Aguado, B. (2024). Datasets of Iso-Seq transcripts for decoding transcriptome complexity in four Leishmania species. Data in Brief, 52, 109838. 10.1016/j.dib.2023.109838
Doi 10.1016/j.dib.2023.109838
Publication Date Feb 2024
Publication Type Article
Researcher Begoña Aguado Orea †
Ontology Transcriptomics, Genome Assembly, Expression Profiling, Long-read sequencing
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