ArticleCell2017
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.
Article in Cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,095 papers, 1 of them a synthesis that pooled it.
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Who cites it
2,095 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- VCCV: conservative transcriptomic corroboration for measurement prioritization of computational drug-target hypotheses.Bioinformatics (Oxford, England) · 2026Article
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- Tissue-specific aging clocks map structured aging-modulatory drug-score patterns across 49 human tissue and cell-line categories.Biogerontology · 2026Article
- Fasudil induces anti-inflammatory transcriptomic changes and increased proliferation in human trisomy 21 neural progenitor cells.Biology open · 2026Article
- Systems genetics approaches model the heritable architecture of polyendocrine metabolic ovarian syndrome.The Journal of clinical investigation · 2026Article
2,035 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
56 authors.
Funding
Abstract
We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs, and disease states are connected by virtue of common gene-expression signatures. Here, we report more than a 1,000-fold scale-up of the CMap as part of the NIH LINCS Consortium, made possible by a new, low-cost, high-throughput reduced representation expression profiling method that we term L1000. We show that L1000 is highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts. We further show that the expanded CMap can be used to discover mechanism of action of small molecules, functionally annotate genetic variants of disease genes, and inform clinical trials. The 1.3 million L1000 profiles described here, as well as tools for their analysis, are available at https://clue.io.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.