https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE92742
`Series GSE92742 </geo/q uery/acc.cgi?acc=GSE92742>`__: Query DataSets for GSE92742
Status: Public on Mar 03, 2017
Title: L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS Pilot PHASE I (n=1,319,138; updated March 03, 2017)
Project: Connectivity Map
Sample organism: Homo sapiens
Experiment type: Expression profiling by array
Web link: https://clue.io/
Submission date: Dec 22, 2016
Last update date: Sep 08, 2021
Contact name: Aravind Subramanian
Organization name: The Broad Institute
Lab: Connectivity Map
Street address: 415 Main Street
City: Cambridge
State/province: MA
ZIP/Postal code: 02142
Country: USA
The Library of Integrated Cellular Signatures (LINCS) is an NIH program which funds the generation of perturbational profiles across multiple cell and perturbation types, as well as read-outs, at a massive scale. The LINCS Center for Transcriptomics at the Broad Institute uses the L1000 high-throughput gene-expression assay to build a Connectivity Map which seeks to enable the discovery of functional connections between drugs, genes and diseases through analysis of patterns induced by common gene-expression changes. These files represent L1000 data generated during the LINCS Pilot Phase (2012-2015), as well as profiles generated for more specific purposes, such as assay development and validation projects or testing custom compounds or non-standard cell lines (not part of the core LINCS cell lines). Note: Related GEO projects include (a) Additional L1000 and RNA-Seq data used to validate the assay and improve the inference model, available at GSE92743 (b) The LINCS “production phase” (also termed Phase II, 2015-2020) which is generating an additional cohort of L1000 data, available at GSE70138. The Platform is GPL20573: Broad Institute Human L1000 epsilon https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL20573 For questions or assistance with this dataset, please email the CMap support team at: clue@broadinstitute.org
LINCS aims to enable a functional understanding of biology by cataloging changes in gene expression and other cellular processes that occur when cells are exposed to a variety of perturbing agents. The Broad Institute LINCS Center for Transcriptomics contributes to this collaborative effort by application of the Connectivity Map concept. In brief, the study design involves the generation of a compendium of transcriptional expression data from cultured human cells treated with small-molecule and genetic loss/gain of function perturbagens. These measurements are made using the L1000 high-throughput gene-expression assay that enables data generation at an unprecedented scale. The data are processed through a computational system, that converts raw fluorescence intensities into differential gene expression signatures. The data at each stage of the pre-processing are available: Level 1 (LXB) - raw, unprocessed flow cytometry data from Luminex scanners. One LXB file is generated for each well of a 384-well plate, and each file contains a fluorescence intensity value for every observed analyte in the well. Level 2 (GEX) - gene expression values per 1,000 genes after deconvolution from Luminex beads. Level 3 (Q2NORM) - gene expression profiles of both directly measured landmark transcripts plus inferred genes. Normalized using invariant set scaling followed by quantile normalization. Level 4 (Z-SCORES) - signatures with differentially expressed genes computed by robust z-scores for each profile relative to control (PC relative to plate population as control; VC relative to vehicle control). Level 5 (SIG) consists of the replicates, usually 3 per treatment, aggregated into a single differential expression vector derived from the weighted averages of the individual replicates. Please note that a description of the latest file, and a table listing the contents of the 'Broad_LINCS_auxiliary_datasets.tar.gz' file are updated in the following document; ` <https://docs.google.com/document/d/1q2gciWRhVCA%3Ctr%20valign=>`__
Subramanian A, Narayan R, Corsello SM, Peck DD et al. A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles. Cell 2017 Nov 30;171(6):1437-1452.e17. PMID: 29195078
Seçilmiş D, Hillerton T, Morgan D, Tjärnberg A et al. Uncovering cancer gene regulation by accurate regulatory network inference from uninformative data. NPJ Syst Biol Appl 2020 Nov 9;6(1):37. PMID: 33168813
| Download family | Format |
| SOFT formatted family file(s) | SOFT |
| MINiML formatted family file(s) | MINiML |
| Series Matrix File(s) | TXT |
| Supplementary file | Size | Download | File type/resource |
| GSE92742_Broad_ LINCS_Level1_LXB _n1403502.tar.gz | 1.2 Tb | (ftp) (http) | TAR |
| GSE92742 _Broad_LINCS_Lev el2_GEX_delta_n4 9216x978.gctx.gz | 98.9 Mb | (ftp) (http) | GCTX |
| GSE92742_Bro ad_LINCS_Level2_ GEX_epsilon_n126 9922x978.gctx.gz | 2.3 Gb | (ftp) (http) | GCTX |
| GSE92742_Broa d_LINCS_Level3_I NF_mlr12k_n13191 38x12328.gctx.gz | 48.8 Gb | (ftp) (http) | GCTX |
| G SE92742_Broad_LI NCS_Level4_ZSPCI NF_mlr12k_n13191 38x12328.gctx.gz | 49.6 Gb | (ftp) (http) | GCTX |
| GSE92742_Bro ad_LINCS_Level5_ COMPZ.MODZ_n4736 47x12328.gctx.gz | 19.9 Gb | (ftp) (http) | GCTX |
| GSE92742_Broad_ LINCS_README.pdf | 25.8 Kb | (ftp) (http) | |
| GSE92742_Broad _LINCS_auxiliary _datasets.tar.gz | 1.6 Gb | (ftp) (http) | TAR |
| GSE92 742_Broad_LINCS_ cell_info.txt.gz | 2.5 Kb | (ftp) (http) | TXT |
| GSE92 742_Broad_LINCS_ gene_info.txt.gz | 211.6 Kb | (ftp) (http) | TXT |
| GSE9 2742_Broad_LINCS _gene_info_delta _landmark.txt.gz | 18.3 Kb | (ftp) (http) | TXT |
| GSE92 742_Broad_LINCS_ inst_info.txt.gz | 11.5 Mb | (ftp) (http) | TXT |
| GSE92 742_Broad_LINCS_ pert_info.txt.gz | 1.1 Mb | (ftp) (http) | TXT |
| GSE92742 _Broad_LINCS_per t_metrics.txt.gz | 908.9 Kb | (ftp) (http) | TXT |
| GSE9 2742_Broad_LINCS _sig_info.txt.gz | 10.6 Mb | (ftp) (http) | TXT |
| GSE9274 2_Broad_LINCS_si g_metrics.txt.gz | 11.9 Mb | (ftp) (http) | TXT |
| GSE92742_S HA512SUMS.txt.gz | 1.4 Kb | (ftp) (http) | TXT |
Raw data are available on Series record
Processed data are available on Series record