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Transcript Level Expression Profiling: anticancer pathways of Smilax Glabra rhizome extract (SW) [HepG2 cells]

ABSTRACT: To find the possible signaling pathways which contribute to the anticancer effect of SW-treated HepG2 cells Global gene expression profiling is an ideal technique to obtain useful clues for exploration of the anticancer mechanism of SW. Through comparing microarray results between solvent- and SW-treated cells, differentially expressed genes were obtained (>1.5 fold). The microarray results were validated using real-time RT-PCR. We used the KEGG database, STRING database and GO database for further ananlysis, and therefore got the possible signaling pathways underlying the anticancer effect of SW.

ORGANISM(S): Homo sapiens

PROVIDER: GSE58201 | GEO | 2014/06/08

SECONDARY ACCESSION(S): PRJNA251556

REPOSITORIES: GEO

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Transcript Level Expression Profiling: anticancer pathways of Smilax Glabra rhizome extract (SW)

Project description:Find the possible signaling pathways which contribute to the cell growth inhibition effect of SW-treated AGS cells Global gene expression profiling is an ideal technique to obtain useful clues for exploration of the anticancer mechanism of SW. Through comparing microarray results between solvent- and SW-treated cells, differentially expressed genes were obtained (>1.5 fold). The microarray results were validated using real-time RT-PCR. We used the KEGG database, STRING database and GO database for further ananlysis, and therefore got the possible signaling pathways underlying the anticancer effect of SW.

2014-04-09 | GSE56593 | GEO

Transcript Level Expression Profiling: anticancer pathways of Smilax Glabra rhizome extract (SW)

2014-04-09 | E-GEOD-56593 | biostudies-arrayexpress

Transcript Level Expression Profiling: anticancer pathways of Smilax Glabra rhizome extract (SW) [HepG2 cells]

Project description:To find the possible signaling pathways which contribute to the anticancer effect of SW-treated HepG2 cells Global gene expression profiling is an ideal technique to obtain useful clues for exploration of the anticancer mechanism of SW. Through comparing microarray results between solvent- and SW-treated cells, differentially expressed genes were obtained (>1.5 fold). The microarray results were validated using real-time RT-PCR. We used the KEGG database, STRING database and GO database for further ananlysis, and therefore got the possible signaling pathways underlying the anticancer effect of SW. We analyzed total RNA samples of solvent- and SW-treated HepG2 cells using the Affymetrix Human Gene 1.0 ST platform. No techinical replicates were performed.

2014-06-08 | E-GEOD-58201 | biostudies-arrayexpress

Rhodospirillum centenum SW strain:SW

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Genome-wide expression analysis of sh-Ctrl and sh-PRLR SW-1990 cells

Project description:The study is to explore differentially expressed genes in SW-1990 cells infected with sh-Ctrl or sh-PRLR.

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Trnascriptome analysis of HeLa cells infected with rTHOV-wt, -dML, -SW mutant or mock-treated

Project description:The goal of the study was to compare transcriptome changes in HeLa cells after infection with recombinant Thogoto virus (wild-type, ML deletioin mutant or ML SW mutant not able to interact wiith TFIIB. While wild-type virus is able to inhibit inflammatory genes, ML deletion mutant and TFIIB-non-interacting mutant lose this effect on gene transcription.

2018-04-01 | GSE105152 | GEO

Anticancer properties of distinct antimalaria drug classes

Project description:Background: Antimalarials have anticancer potential. Results: We have systematically tested five distinct antimalaria drugs in a panel of cancer cell lines. Conclusion: Three antimalarial classes display potent antiproliferative activity, and their potency is correlated with cancer cell gene expression patterns. Significance: We confirm and extend anticancer potential of these antimalarials and we discuss their therapeutic potential based on clinical data. Key words: Malaria, Anticancer drug, Drug Discovery, Genomics, Gene Expression, Bioinformatics, Cancer AffymetrixM-BM-. HG-U133 Plus 2.0 mRNA expression arrays were used to determine the expression. CEL result files were pre-processed using the RMA (Irizarry et al, 2003) algorithm. This microarray analysis was performed for 91 cell lines.

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