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l1000 connectivity map (cmap) library of integrated network-based cellular signatures (lincs) dataset  (Broad Institute Inc)

 
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    Broad Institute Inc l1000 connectivity map (cmap) library of integrated network-based cellular signatures (lincs) dataset
    L1000 Connectivity Map (Cmap) Library Of Integrated Network Based Cellular Signatures (Lincs) Dataset, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/connectivity+map+cmap/l1000/pmc11782887-149-21-26
    Average 90 stars, based on 1 article reviews
    l1000 connectivity map (cmap) library of integrated network-based cellular signatures (lincs) dataset - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Software:

    Article Title: Protocol to infer off-target effects of drugs on cellular signaling using interactome-based deep learning.
    Article Snippet: Extracts and visualizes the mechanism of action of drugs’ off-target effects Drugs that target specific proteins often have off-target effects.. We present a protocol using artificial neural networks to model cellular transcriptional responses to drugs, aiming to understand their mechanisms of action.. We detail steps for predicting transcriptional activities, inferring drug-target interactions, and explaining the off-target mechanism of action.

    Article Title: Method of treating cognitive decline associated with neurological diseases based on a decrease in FLT4 expression or activity
    Article Snippet: .. Running a list of significantly altered genes (134 upregulated and 150 downregulated) on the CMap software (LINCS L1000 small molecule assay, Broad Institute Cambridge MA) revealed target genes that modulate some of the altered functional pathways in meningeal LECs from old mice (FIG. ..

    Expressing:

    Article Title: Graphical Learning and Causal Inference for Drug Repurposing
    Article Snippet: .. To illustrate that our approach has significant potential for identifying drug repurposing candidates, the proposed methods were applied to L1000 perturbational profiles of 978 genes from Broad Institute LINCS center under 4 drugs: ritonavir, chloroquine, ruxolinib and ribavirin to reconstruct drug induced causal networks, and to up- and down-gene expressions in post-mortem lung samples from COVID-19-positive patients to reconstruct disease causal expression networks. ..

    Functional Assay:

    Article Title: Method of treating cognitive decline associated with neurological diseases based on a decrease in FLT4 expression or activity
    Article Snippet: .. Running a list of significantly altered genes (134 upregulated and 150 downregulated) on the CMap software (LINCS L1000 small molecule assay, Broad Institute Cambridge MA) revealed target genes that modulate some of the altered functional pathways in meningeal LECs from old mice (FIG. ..

    other:

    Article Title: Computational investigation of the functional landscape of the protective role that extra virgin olive oil consumption may have on chronic lymphocytic leukemia
    Article Snippet: Developed by the Ma'ayan Laboratory at the Icahn School of Medicine, this tool leverages LINCS L1000 data from the Broad Institute's Connectivity Map team.

    Article Title: InTiCAR: Network-based identification of significant inter-tissue communicators for autoimmune diseases
    Article Snippet: The potential perturbation on disease genes by disease-specific ITCs were acquired by using L1000 Connectivity Map (CMap) Library of Integrated Network-based Cellular Signatures (LINCS) dataset by Broad Institute ( B).

    Gene Expression:

    Article Title: Graphical Learning and Causal Inference for Drug Repurposing
    Article Snippet: .. To illustrate the application of our proposed methods for drug repurposing, we applied them to phase I and II L1000 connectivity map perturbational profiles from the Broad Institute LINCS, which consist of gene-expression profiles for thousands of perturbagens at a variety of time points, doses, and cell lines, as well as disease gene expression data under-expressed and over-expressed in response to SARS-CoV-2. ..



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