Small molecules which reverse bacterial infectious disease
Canned Analysis
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General Information
AccessionDCA00009879
TitleSmall molecules which reverse bacterial infectious disease
DescriptionThe L1000 database was queried in order to identify small molecule perturbations which reverse the bacterial infectious disease gene expression signature in the Peripheral blood mononuclear cell cell type.
Analysis URLhttp://amp.pharm.mssm.edu/L1000CDS2/#/result/58d1b552e467bea600fb7fd8
Upload DateSeptember 20, 2017
Uploadermaayanlab
Metadata
Analysis CuratorJoel.Dudley
CREEDS IDdz:322
Cell TypePeripheral blood mononuclear cell
DO IDDOID:104
Disease Namebacterial infectious disease
Organismhuman
UMLS CUIC0004623
L1000CDS2 parameters
Directionreverse
Characteristic Direction parameters
Control SamplesGSM66671, GSM66672, GSM66673, GSM66674, GSM66675, GSM66676, GSM66677, GSM66678, GSM66679, GSM66680, GSM66681, GSM66682, GSM66683, GSM66684, GSM66685, GSM66686, GSM66687, GSM66688, GSM66689
Perturbed SamplesGSM66617, GSM66618, GSM66619, GSM66620, GSM66621, GSM66622, GSM66623, GSM66624, GSM66625, GSM66626, GSM66627, GSM66628, GSM66629, GSM66630, GSM66631, GSM66632, GSM66633, GSM66634, GSM66635, GSM66636, GSM66637, GSM66638, GSM66639, GSM66640, GSM66641, GSM66
Tools used in the analysis
Dataset Accession
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
Datasets used in the analysis
Keyword
Tool Name
GSE3026
Gene Expression Omnibus
Gene expression Profiling of Peripheral Blood Leukocytes after Endotoxin Challenge in Humans
7
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