PLoS ONEBioinformaticsPeer-reviewed journal article
A Course-Undergraduate Research Experience (CURE) to explore the effect of structural variants on gene expression in C. elegans balancers
Tatiana MaroilleyiD, Victoria Rodrigues Alves Barbosa, Rumika Mascarenhas, Suzanne FerrisiD, Catherine T.M. Diao, Fatemah AlAwadhi, Saood Aldakheel, Ahmad AliiD, Denah Alkanderi, Meshary Alshatti, Samyah Alsuwaileh, Ryan BuiiD, Bentley Chai, Lara DsouzaiD, Parisa Etemadi NezhadiD, Emily Garcia-Volk, Zainub Haq, Sadeeb Hossain, Grace Johnson, Nidhi KotikalapudiiD, Inara Lalani, Courtney Lenz, Taye Louie, Stephen Moore, Shubh K. PateliD, , Maja Tarailo‐GraovaciD
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Abstract
Bioinformatics, a discipline at the crossroads of Biology and Computational Sciences, also referred to as Computational Biology, is nowadays widely spread in research programs. However, implementing any Bioinformatics projects requires the ability to comprehend biological concepts and apply computational approaches, and rare are the undergraduate programs offering such multi-disciplinary training. In addition, understanding the dynamic between Biology research projects and Bioinformatics analyses is challenging with no real-life experience. Course-based undergraduate research experience (CURE) courses are innovative programs that allow more students to acquire research experience and provide the perfect setting to introduce students to applied bioinformatics. As a part of the Bachelor of Health Sciences of the Cumming School of Medicine at the University of Calgary (Canada), a CURE applied bioinformatics was implemented in the Winter of 2023 to 2025. Students investigated the effect of structural variants (SVs, genetic variants larger than 50 bp) on gene expression in the model organism Caenorhabditis elegans (a hermaphrodite 1-mm long roundworm). The students detected and characterized SVs by analyzing genome and transcriptome sequencing data of C. elegans strains called balancers, as they are known to carry large genomic variations balancing regions of the genome by limiting recombination and allowing maintenance of lethal mutations. They used Galaxy, a public web-based supercomputing resource, but also a local High-Performance computing system, and R, to report different effects of SVs on gene expression and splicing. Students research explained the molecular mechanism behind the uncoordinated phenotype caused by the reciprocal translocation eT1(III;V) and uncovered unexpected effects on gene expression on an understudied gene. We evaluated the courses impact on student learning journeys and showed that the CURE favored students understanding of the Bioinformatics field and fostered their research interest. We provide here guidelines to facilitate the CURE implementations to improve access for undergraduate students to bioinformatics research experiences.
- organism: C. elegans
- assay: whole-genome sequencing
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: database / resource
- approach: experimental assay
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