Signature Libraries
Transcriptional signatures were constructed by further aggregating signatures of individual short hairpin RNA perturbations. The signatures are based only on the 978 Landmark Genes measured directly by the L1000 assay. The signatures for individual shRNA were created by aggregating (averaging) Level 4 data for biological replicates as defined by the signatures metadata. The signatures of...
In the "Signatures" pipeline, you may explore, analyze and visualize over 200,000 pre-computed signatures (i.e. list of "scores" (activity levels) for a list of genes or for all genes in the genome "genome-wide signatures"). One would land on the Signatures landing page by clicking "Signatures" on the iLINCS portal header.
As shown in the figure above, there are 9 pre-computed signature libraries...
These transcriptomic signatures were made using data from the Cancer Therapeutics Response Portal (CTRP) project. The data includes 860 cancer cell lines and combines basal (untreated) gene expression with measurements of sensitivity to 481 anti-cancer compounds. Drug sensitivity was measured as cell viability (ATP levels measured by CellTiter-Glo®) over a sixteen-point concentration-response...
Transcriptional signatures of perturbagen activity constructed based on the version 2 of the original Connectivity Map dataset using Affymetrix expression arrays. Each signature consists of differential expressions and associated p-values for all genes when comparing perturbagen treated cell lines with appropriate controls.
Transcriptional signatures constructed by comparing sample groups within the collection of public domain transcriptional dataset (GEO GDS collection). Each signature consists of differential expressions and associated p-values for all genes.
Transcriptional signatures of DrugMatrix. Signatures consist of differential gene expression and associated p-values for ~ 13,000 genes.
Transcription factor (TF) binding signatures constructed using ENCODE ChiP-seq data. Each signature consists of genome scale (i.e. for each gene) scores and probabilities of regulation by the given TF in the specific context (cell line and treatment). These signatures were developed using our in-house TREG methodology.
True REGulation (TREG) method integrates Transcription factor (TF) information...
Transcriptional signatures of perturbations by small molecules based on L1000 assay. Signatures were created by aggregating (ie averaging) Level 4 data for biological replicates as defined by the signatures metadata. Only signatures designated to be reproducible and self-connected ("gold") by the Broad institute are represented. The signatures consist of differential gene expressions and p-values...
Transcriptional signatures of gene overexpression based on L1000 assay. The signatures consist of differential gene expressions and p-values for 978 Landmark Genes measured by L1000 assay. The signatures were created by aggregating (ie averaging) Level 4 data for biological replicates as defined by the signatures metadata. Only signatures designated to be reproducible and self-connected ("gold...
Signatures of perturbations assayed by P100 against 96 phosphopeptide probes and GCP assay against ~60 probes that monitor combinations of post-translational modifications on histones. The data is generated by using mass spectrometry techniques to characterize proteome level molecular signatures of responses to small molecule and genetic pertubations in a number of different cell lines.
Transcriptional signatures constructed by comparing sample groups within the collection of public domain transcriptional dataset (EBI Array Express collection). Each signature consists of differential expressions and associated p-values for all genes.