Genomic profiling of mouse CD8 T cells electroporated with non-targeting or AR-specific gRNAs
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA817218 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18358792_1.fastq.gz | Fastqsanger.gz | |||
| SRR18358792_2.fastq.gz | Fastqsanger.gz | |||
| SRR18358793_1.fastq.gz | Fastqsanger.gz | |||
| SRR18358793_2.fastq.gz | Fastqsanger.gz | |||
| SRR18358794_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: Determine the change in expression of genes in AR deficient CD8 T cells Methods: C57Bl/6J splenocytes were isolated, total CD8 T cells magnetically enriched and electroporated with non-targeting gRNA or AR-specific gRNAs. Cells were stimulated with aCD3/28 for three days before isolating RNA and library prep. Sequencing was performed by the Massively Parallel Sequencing Shared Resource (MPSSR) at OHSU. Results: AR regulated genes in mouse CD8 T cells.
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Project description:This experiment addressed the question of whether full length Androgen receptor and Androgen Receptor variant ARv567es have similar transciptional activities. The transcriptomes of R1-AD1, a AR full length expressing cell line, are compared in an AR on (1nM DHT) to an AR off (ethanol vehicle) state. R1-D567 was derived from R1-AD1 and modified with TALENs in such a way as to express only AR-V567es. The AR on and off states were induced with a control siRNA (AR on) or a siRNA targeting exon 1 (AR off). R-AD1 was cultured for 24 hours in either base RPMI media with 1nM DHT or ethanol vehichle and RNA extracted. R1-D567 cells were electroporated with control siRNA or siRNA targeting exon 1 of AR and allowed to recover 48 hours and then cultured in base media with 1nM DHT or ethanol for 24 hrs. Each conditon was done in triplicate.
2013-09-01 | E-GEOD-49196 | biostudies-arrayexpress
Project description:The goal of this experiment was to compare the gene expression programs mediated by androgen/AR vs. constitutively active, truncated AR variants in castration-resistant CWR-R1 prostate cancer cells. Because constitutive activity of truncated AR variants can mask androgen/AR target genes, the androgen/AR transcriptional program was assessed by silencing the trucnated AR 1/2/3/CE3 variant with siRNA targeting AR exon CE3 and treating cells with vehicle (ethanol) or 1nM DHT. Similarly, because full-length AR activity can mask truncated AR variant target genes, the AR variant transcriptional program was assessed under castrate conditions by selectively silencing full-length AR with siRNA targeting AR exon 7, and comparing this profile with CWR-R1 cells transfected wtih siRNA targeting AR exon 1, which silences all AR expression (full-length and truncated AR variants). CWR-R1 cells were maintained under castrate conditions in long term culture in order to enrich for the population of cells harboring a 48kb intragenic deletion in AR intron 1. These late-passage CWR-R1 cells were electroporated with siRNAs targeting AR exon 1, AR exon 7, or AR exon CE3. Electroporated cells were seeded in RPMI 1640 medium containing antibiotics and 5% charcoal-stripped, steroid-depleted medium and allowed to recover for 48h. After this 48h recovery, electroporated cells were switched to serum-free RPMI 1640 with 1nM DHT or 0.1% ethanol (vehicle control) for an additional 24h prior to extraction of total RNA. Three independent biological replicates were performed.
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Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. Oct1 is an AR interacting partner and regulates the transcriptional activity of AR. In order to investigate the Oct1 function in prostate cancer cells, we performed gene expression in AR-positive prostate cancer cell lines after siOct1 or pyrrole-imidazole (PI) polyamide targeting Oct1-binding treatment. We also treated cells with vehicle or androgen to analyze the effects of Oct1 on AR function. Observation of androgen dependent gene expression changes after treatment with siOct1 or polyamide targeting Oct1 with microarray.
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Project description:We previously encountered regulatory processes where dihydrotestosterone (DHT) exerted its inhibitory effect on parathyroid hormone-related protein (PTHrP) gene repression through the estrogen receptor (ER)M-NM-1, but not the androgen receptor (AR) in breast cancer MCF-7 cells. Here, we investigated whether such an aberrant ligand-nuclear receptor (NR) interaction is present in prostate cancer LNCaP cells. First, we confirmed that LNCaP cells expressed a functional AR and at negligible levels of ERM-NM-1, and progesterone receptors. Both suppression of PTHrP and activation of the PSA genes were observed after treatment of E2, DHT and R5020. Consistent with the previous notion that the AR in LNCaP cells lost the ligand specificity due to a mutation AR (Thr-Ala877), our study using siRNA targeting each NR revealed that the AR, but not the other NRs, monopolized the role as the mediator of shared hormone-dependent regulation. These results were invariably associated with nuclear translocation of this mutant AR. Microarray of the genes regulated by either DHT, E2 or R5020 downstream of the AR (Thr-Ala877) revealed that more than half genes overlapped in LNCaP cells. Noticeably, AR (wild-type, wt) and AR (Thr-Ala877) were equally responsible for the E2-AR interactions. Fluorescent microscopic experiments demonstrated that both EGFP-AR (wt) and EGFP-AR (Thr-Ala877) were exclusively localized within the nucleus after E2 or DHT treatment. Further, a promoter assay revealed that breast cancer MCF-7 and Rv22 cells also exhibited such an aberrant E2-AR (wt) signaling. We postulate entangled interactions between the AR (wt) and E2 in a certain hormone-sensitive cancer cells. Total RNAs from the LNCaP cells transfected with control siRNA (siCT) or siRNA for AR (siAR) transfected LNCaP cells before 24 hr followed by exposed to 10-7M of DHT, E2 or R5020 exposure for another 24 h, respectively, were used.
2014-06-19 | E-GEOD-58615 | biostudies-arrayexpress
Project description:Recent technological developments in single-cell RNA-seq CRISPR screens enable high-throughput investigation of the genome. Through transduction of a gRNA library to a cell population followed by transcriptomic profiling by scRNA-seq, it is possible to characterize the effects of thousands of genomic perturbations on global gene expression. A major source of noise in scRNA-seq CRISPR screens are ambient gRNAs, which are contaminating gRNAs that likely originate from other cells. If not properly filtered, ambient gRNAs can result in an excess of false positive gRNA assignments. Here, we utilize CRISPR barnyard assays to characterize ambient gRNA noise in single-cell CRISPR screens. We use these datasets to develop and train CLEANSER, a mixture model that identifies and filters ambient gRNA noise. This model takes advantage of the bimodal distribution between native and ambient gRNAs and includes both gRNA and cell-specific normalization parameters, correcting for confounding technical factors that affect individual gRNAs and cells. The output of CLEANSER is the probability that a gRNA-cell assignment is in the native distribution over the ambient distribution. We find that ambient gRNA filtering methods impact differential gene expression analysis outcomes and that CLEANSER outperforms alternate approaches by increasing gRNA-cell assignment accuracy.
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Project description:Androgen Receptor (AR) variants (AR-V) drive prostate cancer (PCa) resistance to first and second-generation therapies targeting endocrine regulation of AR. To understand the sets of genomic targets of full-length AR vs. AR-Vs, we conducted genome-wide ChIP-seq using isogenic pairs of genome engineering cell lines expressing either ARv567es (R1-D567) or full-length AR (R1-AD1). Our data demonstrate that androgen-activated full-length AR and AR-Vs both bind to similar genomic targets, which are enriched for high affinity androgen response elements (AREs). Overall, this study demonstrates that AR-Vs restore the broad AR cistrome that is otherwise lost during endocrine-targeted therapy.
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Project description:We previously encountered regulatory processes where dihydrotestosterone (DHT) exerted its inhibitory effect on parathyroid hormone-related protein (PTHrP) gene repression through the estrogen receptor (ER)α, but not the androgen receptor (AR) in breast cancer MCF-7 cells. Here, we investigated whether such an aberrant ligand-nuclear receptor (NR) interaction is present in prostate cancer LNCaP cells. First, we confirmed that LNCaP cells expressed a functional AR and at negligible levels of ERα, and progesterone receptors. Both suppression of PTHrP and activation of the PSA genes were observed after treatment of E2, DHT and R5020. Consistent with the previous notion that the AR in LNCaP cells lost the ligand specificity due to a mutation AR (Thr-Ala877), our study using siRNA targeting each NR revealed that the AR, but not the other NRs, monopolized the role as the mediator of shared hormone-dependent regulation. These results were invariably associated with nuclear translocation of this mutant AR. Microarray of the genes regulated by either DHT, E2 or R5020 downstream of the AR (Thr-Ala877) revealed that more than half genes overlapped in LNCaP cells. Noticeably, AR (wild-type, wt) and AR (Thr-Ala877) were equally responsible for the E2-AR interactions. Fluorescent microscopic experiments demonstrated that both EGFP-AR (wt) and EGFP-AR (Thr-Ala877) were exclusively localized within the nucleus after E2 or DHT treatment. Further, a promoter assay revealed that breast cancer MCF-7 and Rv22 cells also exhibited such an aberrant E2-AR (wt) signaling. We postulate entangled interactions between the AR (wt) and E2 in a certain hormone-sensitive cancer cells.
2014-06-19 | GSE58615 | GEO
Project description:Recent technological developments in single-cell RNA-seq CRISPR screens enable high-throughput investigation of the genome. Through transduction of a gRNA library to a cell population followed by transcriptomic profiling by scRNA-seq, it is possible to characterize the effects of thousands of genomic perturbations on global gene expression. A major source of noise in scRNA-seq CRISPR screens are ambient gRNAs, which are contaminating gRNAs that likely originate from other cells. If not properly filtered, ambient gRNAs can result in an excess of false positive gRNA assignments. Here, we utilize CRISPR barnyard assays to characterize ambient gRNA noise in single-cell CRISPR screens. We use these datasets to develop and train CLEANSER, a mixture model that identifies and filters ambient gRNA noise. This model takes advantage of the bimodal distribution between native and ambient gRNAs and includes both gRNA and cell-specific normalization parameters, correcting for confounding technical factors that affect individual gRNAs and cells. The output of CLEANSER is the probability that a gRNA-cell assignment is in the native distribution over the ambient distribution. We find that ambient gRNA filtering methods impact differential gene expression analysis outcomes and that CLEANSER outperforms alternate approaches by increasing gRNA-cell assignment accuracy.
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