| Literature DB >> 26710108 |
Yuan Lu1,2,3, Nicholas Starkey1,2, Wei Lei2,4, Jilong Li2,5,6, Jianlin Cheng2,5,6, William R Folk1,2, Dennis B Lubahn1,2.
Abstract
Sutherlandia frutescens (L) R. Br. (Sutherlandia) is a South African botanical that is traditionally used to treat a variety of health conditions, infections and diseases, including cancer. We hypothesized Sutherlandia might act through Gli/ Hedgehog (Hh)-signaling in prostate cancer cells and used RNA-Seq transcription profiling to profile gene expression in TRAMPC2 murine prostate cancer cells with or without Sutherlandia extracts. We found 50% of Hh-responsive genes can be repressed by Sutherlandia ethanol extract, including the canonical Hh-responsive genes Gli1 and Ptch1 as well as newly distinguished Hh-responsive genes Hsd11b1 and Penk.Entities:
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Year: 2015 PMID: 26710108 PMCID: PMC4694108 DOI: 10.1371/journal.pone.0145507
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Sutherlandia Extract alters genes in TRAMPC2 cells.
(A) Differentially expressed genes in response to Sutherlandia extract treatment. Genes that are related to (B, C, D) are labeled. (B) Gene Ontology analysis of Sutherlandia responsive genes. (C, D) KEGG pathway analysis of Sutherlandia responsive genes.
Fig 2Heat map of Sutherlandia Extract altered Hedgehog-signaling pathway target genes expression.
TRAMPC2 cell were treated with either Hh-CM or co-treated with Hh-CM and 80μg/ml SFE. Over 50% of Hh-responsive genes were repressed by SFE treatment. Gene expression values were represented by Log2 transformed normalized RNA-seq reads (Log2 count-per-million-reads) and color coded.
Fig 3qPCR validation of RNA-seq result.
Quantitative PCR for (A) gli1, (B) ptch1, and (C) hsd11b1 was performed on Hh ligand treated and Hedgehog ligand and SFE co-treated TRAMPC2 cells. Transcripts concentrations were normalized to control. * indicates p<0.05. In the lower figure, transcripts concentrations of (A) gli1, (B) ptch1, and (C) hsd11b1 are represented by quantified sequencing reads, in the form of counts-per-million-reads.