Gene expression profiling of LNCaP, LNCap-abl and 22Rv1 cells following transfection with toxic siRNAs (siGUGUGUA, siUGUUUGC), siAR or non-target control as indicated
RNA-seq (gene expression) · human · 45 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 45 samples: 11 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE227987_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA947627 and SRA study SRP428795. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 45 samples.
How we read this: 11 replicated groups read from 45 sample titles; they account for 45 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM7111880 Rv1_NT1 Rv1_NT
- GSM7111881 Rv1_NT2 Rv1_NT
- GSM7111882 Rv1_NT3 Rv1_NT
- GSM7111883 Rv1_41 Rv1
- GSM7111884 Rv1_42 Rv1
- GSM7111885 Rv1_43 Rv1
- GSM7111886 Rv1_61 Rv1
- GSM7111887 Rv1_62 Rv1
- GSM7111888 Rv1_63 Rv1
- GSM7111889 Rv1_AR1 Rv1_A
- GSM7111890 Rv1_AR2 Rv1_A
- GSM7111891 Rv1_AR3 Rv1_A
- GSM7111892 LN_NT1 LN_NT
- GSM7111893 LN_NT2 LN_NT
- GSM7111894 LN_NT3 LN_NT
- GSM7111895 LN_41 LN
- GSM7111896 LN_42 LN
- GSM7111897 LN_43 LN
- GSM7111898 LN_61 LN
- GSM7111899 LN_62 LN
- GSM7111900 LN_63 LN
- GSM7111901 Rv1D_NT2 Rv1D_NT
- GSM7111902 Rv1D_NT3 Rv1D_NT
- GSM7111903 Rv1D_NT1 Rv1D_NT
- GSM7111904 Rv1D_41 Rv1D
- GSM7111905 Rv1D_43 Rv1D
- GSM7111906 Rv1D_42 Rv1D
- GSM7111907 Rv1D_61 Rv1D
- GSM7111908 Rv1D_62 Rv1D
- GSM7111909 Rv1D_63 Rv1D
- GSM7111910 Rv1D_AR1 Rv1D_A
- GSM7111911 Rv1D_AR2 Rv1D_A
- GSM7111912 Rv1D_AR3 Rv1D_A
- GSM7111913 abl_NT1 abl_NT
- GSM7111914 abl_NT2 abl_NT
- GSM7111915 abl_NT3 abl_NT
- GSM7111916 abl_41 abl
- GSM7111917 abl_42 abl
- GSM7111918 abl_43 abl
- GSM7111919 abl_61 abl
+ 5 more — browse all 45 samples with per-sample file links →
- GSE309153 RNA-seq profiling following a 5’ isomiR transfection 4 samples shares transfection, following
- GSE16267 Profiling gene expression in HeLa cells following TFEB transient transfection 6 samples shares transfection, following
- GSE240370 Transcriptomic analysis of the in vivo effects of CDK8/19 inactivation in 22Rv1 xenografts growing in intact and castrated NSG mice 66 samples shares 22rv1
- GSE240369 Effects of CDK8/19 Mediator Kinase inhibition on gene expression in castration-resistant prostate cancer cell line 22Rv1 and its derivatives grown in vitro. 48 samples shares 22rv1
- GSE275778 AR coactivators, CBP/p300, are critical mediators of DNA repair in prostate cancer [RNA-seq: 22RV1] 20 samples shares 22rv1
- GSE154951 RNA-seq analysis of 22Rv1 cells with PRMT5, MEP50, pICln knockdown 16 samples shares 22rv1
- GSE234734 Splicing targeting approaches highlight actionable vulnerabilities in advanced prostate cancer [22Rv1] 12 samples shares 22rv1
- GSE269640 Transcriptional profiling of 22Rv1 cells upon treatments of RBN-2397 and tapinarof 10 samples shares 22rv1
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.