SeptiSearch
SeptiSearch aggregates gene sets and associated metadata from transcriptomics studies to support systems-level analyses of sepsis and the identification of diagnostic gene signatures.
Key Features:
- Compendium of Gene Sets: A curated collection of 103 unique gene sets from 74 transcriptomics studies related to acute infection, sepsis, and severe sepsis, encompassing 20,899 unique genes identified via differential expression analyses.
- Extensive Metadata Integration: Each gene set is annotated with study-level metadata including patient group comparisons, sample collection time points, tissue types, and other study parameters.
- Identification of Molecular Mechanisms: Frequently described genes are highlighted alongside associated molecular mechanisms such as neutrophil degranulation, second messenger molecule generation, IL-4 and -13 signaling, and IL-10 signaling.
Scientific Applications:
- Gene Expression Analysis: Compare and validate in-house gene expression results against the curated gene sets to support marker or target identification.
- Pathway Exploration: Investigate molecular pathways commonly associated with sepsis to inform mechanistic hypotheses.
- Cross-Study Comparisons: Perform aggregated cross-study comparisons to enhance robustness and reproducibility of sepsis-related findings.
Methodology:
Compilation of gene sets from high-throughput transcriptomics studies, identification of genes via differential expression analyses, annotation of gene sets with study metadata, and aggregation/highlighting of frequently reported genes and associated pathways (neutrophil degranulation, second messenger molecule generation, IL-4 and -13 signaling, IL-10 signaling).
Topics
Collections
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 1/29/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Baghela AS, Tam J, Blimkie TM, Dhillon BK, Hancock RE. Facilitating systems-level analyses of all-cause and Covid-mediated sepsis through SeptiSearch, a manually-curated compendium of dysregulated gene sets. Frontiers in Immunology. 2023;14. doi:10.3389/fimmu.2023.1135859. PMID:37304268. PMCID:PMC10250596.