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Related Experiment Video

Updated: Jul 8, 2025

Polysome Profiling in Leishmania, Human Cells and Mouse Testis
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Datasets of Iso-Seq transcripts for decoding transcriptome complexity in four Leishmania species.

Sandra González-de la Fuente1, Jose M Requena2,3, Begoña Aguado1

  • 1Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Genomic and NGS Facility (GENGS), 28049 Madrid, Spain.

Data in Brief
|December 11, 2023
PubMed
Summary

Iso-Seq technology revealed full-length transcripts in four Leishmania species, offering insights into gene regulation. This data aids in developing new treatments for leishmaniasis and guides analysis of related parasites.

Keywords:
L. braziliensisL. donovaniL. infantumL. majorRNA sequencingTranscriptomics

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Area of Science:

  • Parasitology
  • Molecular Biology
  • Genomics

Background:

  • Leishmania parasites cause leishmaniasis, a widespread disease.
  • Gene expression regulation in Leishmania occurs primarily at the post-transcriptional level.
  • Understanding Leishmania transcriptomes is crucial for drug development.

Purpose of the Study:

  • To characterize the full-length transcriptome of four Leishmania species using Iso-Seq.
  • To identify complete and truncated transcripts, including those with Spliced-Leader (SL) sequences.
  • To provide a bioinformatics pipeline for analyzing Iso-Seq data in trypanosomatids.

Main Methods:

  • Total RNA was extracted from promastigotes of four Leishmania species.
  • Single Molecule, Real-Time (SMRT) Sequencing (PacBio Iso-Seq) was employed for transcript sequencing.
  • Transcripts were classified based on the presence of SL sequences and poly-A tails.

Main Results:

  • High-quality, full-length transcripts were generated for Leishmania braziliensis, L. donovani, L. infantum, and L. major.
  • Complete transcripts (with SL sequences) and truncated transcripts were identified.
  • The study provides valuable data for discovering novel transcripts and alternative splicing events.

Conclusions:

  • The generated dataset enhances understanding of Leishmania gene expression regulation.
  • This research may facilitate the development of novel therapeutic strategies against leishmaniasis.
  • The described bioinformatics approach can be applied to other trypanosomatids, such as Trypanosoma cruzi and Trypanosoma brucei.