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High-throughput Gene Tagging in Trypanosoma brucei
Published on: August 12, 2016
Methodology optimizing SAGE library tag-to-gene mapping: application to Leishmania
Sondos Smandi1, Fatma Z Guerfali, Mohamed Farhat
1Laboratoire d'Immuno-Pathologie, Vaccinologie et Génétique Moléculaire (LIVGM), WHO Collaborating Center for Research and Training in Leishmaniasis, Institut Pasteur de Tunis, 13 place Pasteur BP74 1002, Tunis, Tunisia. alia.benkahla@pasteur.rns.tn.
BMC Research Notes
|January 31, 2012
Summary
This study optimized a method for mapping Serial Analysis of Gene Expression (SAGE) tags to Leishmania genes. This improved understanding of parasite gene expression and host-parasite interactions for developing new treatments.
Area of Science:
- Parasitology
- Genomics
- Molecular Biology
Background:
- Leishmaniasis requires novel drugs and vaccines due to widespread parasitic disease.
- Understanding host-parasite interactions is key for Leishmania control.
- Existing SAGE tag-to-gene mapping is limited for Leishmania transcript analysis.
Purpose of the Study:
- To optimize SAGE tag-to-gene mapping for Leishmania.
- To enhance the understanding of Leishmania transcriptome organization and plasticity.
- To improve therapeutic and control strategies for leishmaniasis.
Main Methods:
- Developed an in silico method for mapping SAGE tags to the Leishmania genome using BLAST.
- Employed a data-driven probability distribution for tag-to-gene mapping.
- Applied optimized mapping to analyze gene expression and identify modulated biological processes.
Main Results:
- Improved knowledge of Leishmania genome structure and transcription.
- Enabled analysis of maximal Leishmania gene expression.
- Delimited 3' UTRs for 478 genes and identified differentially modulated biological processes during differentiation.
Conclusions:
- The developed method enhances SAGE tag assignment in trypanosomatidae genomes.
- This optimization is applicable to any genome with polycistronic transcription and small intergenic regions.
- Facilitates deeper insights into parasite biology for improved disease control.
