Project description:Single-cell mRNA sequencing (scRNA-seq) study was conducted to to probe heterogeneity of human BPH associated cells. No cell sorting was conducted so all cells within the BPH environment could be represented.
Project description:Single-cell RNA-sequencing was conducted on heterogeneous human prostates FACS sorted for viability from BPH patients on the 10x Genomics platform.
Project description:Transcriptome analysis of BPH-resistant and BPH-susceptible rice seedlings in response to BPH infestation. RH vs. 02428: a microarray analysis of genes that were differentially expressed in a BPH-resistant cultivar, Rathu Heenati (RH) and a susceptible cultivar 02428 after infestation with BPH for 24h. RB vs. SB: a microarray analysis of genes that were differentially expressed in resistant seedling pool and susceptible seedling pool both infested with BPH for 24h. RB vs. RN: a microarray analysis of genes that were differentially expressed in resistant seedling pool infested with BPH for 24h and resistant seedling pool without BPH infestation. Goal was to explore the molecular basis underlying BPH-resistance in rice.
Project description:We investigated the epigenetic landscape of benign prostatic hyperplasia (BPH) by defining the DNA methylation profile of 18 BPH samples and 5 controls from normal transitional zone. We identified 92,046 hypermethylated CpG and 10,117 hypomethylated CpG across different genomic regions in BPH, and hypermethylation was the dominant signal across all genomic regions, even when controlling for bias of CpG-rich loci. We defined a methylation signature for BPH that included 696 differentially methylated CpGs in promoter regions.
Project description:The goal of this study is to identify genes of interest through high throughput sequencing of a mouse model for BPH and compare with control, WT mice. Additionally, to use the generated RNA expression profile to compare with a previously established human microarray for BPH. Through these comparisons we hope to identify novel genes contributing to the disease in humans. Specific results of these analyses are in progress and publication content is yet to be determined.
Project description:We identified a BPH transcriptional signature that included 392 significantly differential expressed genes between BPH and control samples, and validated this BPH transcriptional signature using two independent study cohorts. By performing integrative analysis using transcriptional and methylation profiling, we identified two distinct BPH subtypes, supporting robust biologically distinct subgroups across different data types. To validate these BPH subtypes, we tested our signature via k-means clustering in two independent cohorts, and identified nearly identical subgroups. To nominate potential subtype specific therapeutic options, we utilized a Connectivity Map analysis, and found 50% of nominated compounds in one subgroup were related to inhibition of mTOR signaling.
