SigCom LINCS

SigCom LINCS aggregates and processes millions of transcriptome samples into searchable gene expression signatures to link drugs, genes, pathways, and diseases.

Key Features:

• Extensive Database: Hosts over a million gene expression signatures derived from processed transcriptome samples.
• Signature Commons Framework: Built on Signature Commons, a cloud-agnostic framework that serves searchable signatures and supports integration of diverse datasets.
• Rapid Signature Similarity Search: Performs fast searches to identify mimickers and reversers using inputs such as sets of upregulated or downregulated genes, gene sets, single genes, or other search terms.
• Metadata Search Capabilities: Enables metadata queries to analyze subsets of signatures and retrieve detailed information about specific genes and drugs.
• FAIR Principles Compliance: Links data and signatures to standard ontologies and vocabularies to satisfy FAIR (Findable, Accessible, Interoperable, Reusable) principles.
• API Accessibility: Exposes all data via an API for programmatic access and integration into computational workflows.

Scientific Applications:

• Drug and Target Discovery: Identifies candidate drugs and targets by matching perturbation signatures to disease- or gene-associated signatures.
• Pathway and Mechanism Elucidation: Connects gene expression changes to pathways and molecular mechanisms by comparing signatures across perturbations and datasets.
• Translational Research and Personalized Medicine: Supports translational analyses by linking signatures to disease contexts and tissue data from GTEx and GEO for hypothesis generation.

Methodology:

Processes transcriptome samples into searchable signatures, integrates GTEx and GEO datasets, indexes signatures within the Signature Commons framework, performs signature similarity searches comparing input gene sets or single genes to computed signatures, and links metadata to standard ontologies.