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2015 ; 5
(ä): 10889
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gab.com Text
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English Wikipedia
Gene Perturbation Atlas (GPA): a single-gene perturbation repository for
characterizing functional mechanisms of coding and non-coding genes
#MMPMID26039571
Xiao Y
; Gong Y
; Lv Y
; Lan Y
; Hu J
; Li F
; Xu J
; Bai J
; Deng Y
; Liu L
; Zhang G
; Yu F
; Li X
Sci Rep
2015[Jun]; 5
(ä): 10889
PMID26039571
show ga
Genome-wide transcriptome profiling after gene perturbation is a powerful means
of elucidating gene functional mechanisms in diverse contexts. The comprehensive
collection and analysis of the resulting transcriptome profiles would help to
systematically characterize context-dependent gene functional mechanisms and
conduct experiments in biomedical research. To this end, we collected and curated
over 3000 transcriptome profiles in human and mouse from diverse gene
perturbation experiments, which involved 1585 different perturbed genes
(microRNAs, lncRNAs and protein-coding genes) across 1170 different cell
lines/tissues. For each profile, we identified differential genes and their
associated functions and pathways, constructed perturbation networks, predicted
transcription regulation and cancer/drug associations, and assessed cooperative
perturbed genes. Based on these transcriptome analyses, the Gene Perturbation
Atlas (GPA) can be used to detect (i) novel or cell-specific functions and
pathways affected by perturbed genes, (ii) protein interactions and regulatory
cascades affected by perturbed genes, and (iii) perturbed gene-mediated
cooperative effects. The GPA is a user-friendly database to support the rapid
searching and exploration of gene perturbations. Particularly, we visualized
functional effects of perturbed genes from multiple perspectives. In summary, the
GPA is a valuable resource for characterizing gene functions and regulatory
mechanisms after single-gene perturbations. The GPA is freely accessible at
http://biocc.hrbmu.edu.cn/GPA/.