Dataset Information

Unified Feature Association Networks through Integration of Transcriptomic and Proteomic Data

ABSTRACT: Proteomic data from dengue virus infected U-937 cells. PVD_C samples were infected via antibody-mediated or DC-SIGN receptor mediated entry routes with wild-type DENV-4 or mock inoculum; time points 2, 8, 16, and 24 hours; 5 biological replicates. PVD_L samples were infected via antibody-mediated or DC-SIGN receptor mediated entry routes with wild-type DENV-1 or mock inoculum; time points 2, 6, 10, 18, 24, and 30 hours; 5 biological replicates.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human) Dengue Virus

TISSUE(S): U-937 Cell

SUBMITTER: Matthew Monroe

LAB HEAD: Joshua N. Adkins

PROVIDER: PXD014780 | Pride | 2019-08-22

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	PVD_C_C_C_1_16Hr_P_12Jun15_Pippen_14-12-24.mgf	Mgf
	PVD_C_C_C_1_16Hr_P_12Jun15_Pippen_14-12-24.pride.mgf.gz	Mgf
	PVD_C_C_C_1_16Hr_P_12Jun15_Pippen_14-12-24.raw	Raw
	PVD_C_C_C_1_16Hr_P_12Jun15_Pippen_14-12-24_msgfplus.mzid.gz	Mzid
	PVD_C_C_C_1_16Hr_P_12Jun15_Pippen_14-12-24_msgfplus.pride.mztab.gz	Mztab

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Unified feature association networks through integration of transcriptomic and proteomic data.

McClure Ryan S RS Wendler Jason P JP Adkins Joshua N JN Swanstrom Jesica J Baric Ralph R Kaiser Brooke L Deatherage BLD Oxford Kristie L KL Waters Katrina M KM McDermott Jason E JE

PLoS computational biology 20190917 9

High-throughput multi-omics studies and corresponding network analyses of multi-omic data have rapidly expanded their impact over the last 10 years. As biological features of different types (e.g. transcripts, proteins, metabolites) interact within cellular systems, the greatest amount of knowledge can be gained from networks that incorporate multiple types of -omic data. However, biological and technical sources of variation diminish the ability to detect cross-type associations, yielding netwo ...[more]

PMID: 31527878

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