lincs

is a Data Source.

The Library of Integrated Network-based Cellular Signatures (LINCS) is a comprehensive collection of data that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. It aims to better understand human disease and advance the development of new therapies by assembling an integrated picture of the range of responses of human cells exposed to many perturbations.

Domains

biomedical, drug discovery, systems biology, genomics, proteomics, precision medicine

License

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Homepage

lincs

Repository

Unknown

Infores ID

infores:lincs

FAIRsharing ID

Unknown

Product Summary

Contacts

BD2K-LINCS Data Coordination and Integration Center

Email: ilincs@googlegroups.com

National Institutes of Health (NIH) Common Fund

Publications

The Library of Integrated Network-Based Cellular Signatures NIH Program - System-Level Cataloging of Human Cells Response to Perturbations Preferred

Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program - integrated access to diverse large-scale cellular perturbation response data

Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS

Products

From this Resource

ID	Name	URL	Category	Format	Description
lincs.portal	LINCS Data Portal 2.0	home	GraphicalInterface	❔	Web interface that allows users to ex...
lincs.api	LINCS API	swagger-ui.html#	ProgrammingInterface	❔	API for programmatic access to LINCS ...

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ID	Name	URL	Category	Format	Description
ubkg.neo4j	UBKG Neo4j Docker Distribution	ubkg-downloads.xconsortia.org	GraphProduct	❔	Turnkey neo4j distributions that depl...
ubkg.csv	UBKG Ontology CSV Files	ubkg-downloads.xconsortia.org	GraphProduct	csv	Ontology CSV files that can be import...
bioteque.embeddings	Bioteque Embeddings	embeddings	Product	❔	Network embeddings of the Bioteque gr...

Relevant Taxa

Human (NCBITaxon:9606)

Details

The Library of Integrated Network-based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies.

LINCS contains data on cellular responses to thousands of perturbagens (including drugs, genetic perturbations, tissue micro-environments, antibodies, and disease-causing mutations) across multiple cell types. These responses are measured using various high-throughput technologies including:

L1000 Technology: A cost-effective method to measure the expression of ~1,000 landmark genes that can be used to infer the expression of the rest of the transcriptome
P100 Assay: A targeted mass spectrometry-based proteomics approach that measures ~100 key phosphorylation sites
Cell Painting: A high-content imaging method that uses multiple fluorescent dyes to label different cellular components
Other Assays: Including RNA-seq, proteomics, epigenomics, and other cellular measurements

The program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders. The data generated by LINCS is freely available to the research community through various portals and tools, with iLINCS being one of the primary access points.

LINCS data has led to important research discoveries, including new tools for enhancing drug discovery and predicting adverse health events. Although the NIH Common Fund supported the LINCS program from 2011 to 2020, the data and resources continue to be available for researchers worldwide.

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Created: May 29, 2025 | Last modified: December 13, 2025