Journal of Experimental Zoology Part B Molecular and Developmental EvolutionSystems BiologyPeer-reviewed journal article
From Genes to Pathways: A Curated Gene Approach to Accurate Pathway Reconstruction in Teleost Fish Transcriptomics
Marcela HerreraiD, Stefano VianelloiD, Laurie J. MitchelliD, Zoé ChamotiD, Catherine Lorin‐NebeliD, Edith BonnelyeiD, Natacha RouxiD, Laurence Besseau AiD, Yann GibertiD, Vincent LaudetiD
Abstract
Interpreting the vast amounts of data generated by high-throughput sequencing technologies can often present a significant challenge, particularly for non-model organism. While automated approaches like GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analyses are widely used, they often lack specificity for non-model organisms. To bridge this gap, we present a manually curated gene list tailored for teleost fish transcriptomics. This resource focuses on key biological processes crucial for understanding teleost fish physiology, development, and adaptation, including hormone signaling, various metabolic pathways, appetite regulation, digestion, gastrointestinal function, vision, ossification, osmoregulation, and pigmentation. Developed through collaborative efforts of specialists in diverse fields, the list prioritizes genes with established roles in teleost physiology, experimental evidence, and conservation across species. This curated list aims to provide researchers with a reliable starting point for transcriptomic analyses, offering a carefully evaluated set of genes relevant to current research priorities. By streamlining the process of gene selection and interpretation, this resource supports the broader teleost fish research community in designing and analyzing studies that investigate molecular responses to developmental and environmental changes. We encourage the scientific community to collaboratively expand and refine this list, ensuring its continued relevance and utility for teleost fish research.
- organism: multiple species
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: database / resource
- research focus: cell type annotation
- research focus: clustering
- Citations
- 15
- FWCI
- 4.48
- Field percentile
- top 4%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Navigating the Urban River: Transcriptomic Responses of Freshwater Fish to Multiple Anthropogenic Stressors
Camilo Escobar-Sierra, Kathrin P. Lampert·bioRxiv·Aug 19, 2024
- Tissue-specific transcriptomes reveal mechanisms of microbiome regulation in an ancient fish
M. J. Thorstensen, A. M. Weinrauch, … W. G. Anderson·bioRxiv·Oct 12, 2022
- FEVER: An interactive web-based resource for evolutionary transcriptomics across fishes
J. Montfort, F. Hervas-Sotomayor, … F. Murat·bioRxiv·Mar 22, 2024
- Field application of de novo transcriptomic analysis to evaluate the effects of sublethal freshwater salinization on Gasterosteus aculeatus in urban streams
Camilo Escobar-Sierra, Kathrin P. Lampert·bioRxiv·Aug 14, 2023
- Does transcriptome of freshly hatched fish larvae describe past or predict future developmental trajectory?
Rossella Debernardis, Katarzyna Palińska‐Żarska, … Daniel Żarski·AquaculturePeer-reviewed·Aug 14, 2024
- Characterization and analysis of the transcriptome in Arapaima gigas using multi-tissue RNA-sequencing
Danilo Martins, Leonardo R. S. Campos, … Jorge Estefano Santana de Souza·bioRxiv·Sep 29, 2020