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Transcriptome Analysis of Single Cells
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Transcriptomic Analysis of Trypanosomatids.

Carlos Mario Ospina1, Tatiana M Cáceres1, Luz Helena Patiño1

  • 1Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.

Methods in Molecular Biology (Clifton, N.J.)
|February 2, 2026
PubMed
Summary

A new bioinformatics workflow standardizes trypanosomatid transcriptomics analysis. This method enhances understanding of parasite gene expression, aiding drug resistance and targeted therapy development.

Keywords:
Differential expression analysisGene OntologyRNA-SeqTranscriptomicsTrypanosomatids

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Area of Science:

  • Parasitology
  • Genomics
  • Bioinformatics

Background:

  • Trypanosomatids exhibit unique post-transcriptional gene regulation.
  • Polycistronic transcription and lack of promoters complicate gene expression studies.
  • These parasites cause diseases like Chagas disease and leishmaniasis.

Purpose of the Study:

  • To develop a structured bioinformatics workflow for trypanosomatid transcriptomics.
  • To improve the efficiency and accuracy of RNA sequencing data analysis in these parasites.
  • To facilitate deeper insights into parasite biology and disease mechanisms.

Main Methods:

  • RNA sequencing data preprocessing (cleaning, filtering).
  • Differential gene expression analysis.
  • Functional annotation using Gene Ontology (GO) and KEGG Orthology (KO).
  • Data visualization techniques.

Main Results:

  • A standardized framework for trypanosomatid transcriptomic analysis.
  • Precise gene expression profiling.
  • Identification of genes involved in parasite survival, adaptation, immune evasion, and drug resistance.

Conclusions:

  • The workflow optimizes research by providing a standardized approach.
  • It is crucial for advancing research against trypanosomatid pathogens.
  • The methodology is adaptable for other parasites and fields like molecular epidemiology and targeted therapy.