Genome-scale DNA methylome and transcriptome profiles of early prostate cancer recurrence after prostatectomy
DNA methylation · human · 29 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Topic
- Prostate cancerThis series is part of our curated briefing on it.
- Samples
- 29 samples: 5 conditions, mostly in duplicateGroups 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 GSE282574_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: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1189156 and SRA study SRP535013. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 5 replicated groups read from 29 sample titles; they account for 24 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.
- GSM8531341 Prostate tumour Biochemical Persistence EPIC V2, Patient 1
- GSM8531342 Prostate tumour Biochemical recurrence EPIC V2, Patient 7
- GSM8531343 Prostate tumour No biochemical recurrence EPIC V2, Patient 9 Prostate tumour No bioc…
- GSM8531344 Prostate tumour No biochemical recurrence EPIC V2, Patient 10, Replicate 1 Prostate tumour No bioc…
- GSM8531345 Prostate tumour No biochemical recurrence EPIC V2, Patient 10, Replicate 2 Prostate tumour No bioc…
- GSM8531346 Prostate tumour No biochemical recurrence EPIC V2, Patient 11 Prostate tumour No bioc…
- GSM8531347 Prostate tumour Biochemical recurrence EPIC V2, Patient 13, Replicate 1 Prostate tumour Biochem…
- GSM8531348 Prostate tumour Biochemical recurrence EPIC V2, Patient 13, Replicate 2 Prostate tumour Biochem…
- GSM8531349 Prostate tumour No biochemical recurrence EPIC V2, Patient 14 Prostate tumour No bioc…
- GSM8531350 Prostate tumour No biochemical recurrence EPIC V2, Patient 16 Prostate tumour No bioc…
- GSM8531351 Prostate tumour No biochemical recurrence EPIC V2, Patient 17 Prostate tumour No bioc…
- GSM8540645 Prostate tumour Biochemical persistence RNA-seq, Patient 1
- GSM8540646 Prostate tumour Biochemical recurrence RNA-seq, Patient 2 Prostate tumour Biochem…
- GSM8540647 Prostate tumour No biochemical recurrence RNA-seq, Patient 3 Prostate tumour No bioc…
- GSM8540648 Prostate tumour Biochemical recurrence RNA-seq, Patient 4 Prostate tumour Biochem…
- GSM8540649 Prostate tumour Biochemical recurrence RNA-seq, Patient 5 Prostate tumour Biochem…
- GSM8540650 Prostate tumour Biochemical recurrence RNA-seq, Patient 6 Prostate tumour Biochem…
- GSM8540651 Prostate tumour Biochemical recurrence RNA-seq, Patient 7 Prostate tumour Biochem…
- GSM8540652 Prostate tumour Biochemical recurrence RNA-seq, Patient 8 Prostate tumour Biochem…
- GSM8540653 Prostate tumour No biochemical recurrence RNA-seq, Patient 9 Prostate tumour No bioc…
- GSM8540654 Prostate tumour No biochemical recurrence RNA-seq, Patient 10 Prostate tumour No bioc…
- GSM8540655 Prostate tumour No biochemical recurrence RNA-seq, Patient 11 Prostate tumour No bioc…
- GSM8540656 Prostate tumour No biochemical recurrence RNA-seq, Patient 12 Prostate tumour No bioc…
- GSM8540657 Prostate tumour Biochemical recurrence RNA-seq, Patient 13 Prostate tumour Biochem…
- GSM8540658 Prostate tumour No biochemical recurrence RNA-seq, Patient 14, Repicate 1
- GSM8540659 Prostate tumour No biochemical recurrence RNA-seq, Patient 14, Replicate 2
- GSM8540660 Prostate tumour Biochemical recurrence RNA-seq, Patient 15 Prostate tumour Biochem…
- GSM8540661 Prostate tumour No biochemical recurrence RNA-seq, Patient 16 Prostate tumour No bioc…
- GSM8540662 Prostate tumour No biochemical recurrence RNA-seq, Patient 17 Prostate tumour No bioc…
- GSE71008 Plasma extracellular RNA profiles in healthy and cancer patients 192 samples same disease briefing · shares profiles
- GSE115501 RNA sequencing on circulating tumor cells from prostate cancer patients 136 samples same disease briefing · shares prostate
- GSE222467 The RNA binding proteins LARP4A and LARP4B promote tumour growth and metastasis in prostate cancer and osteosarcoma 12 samples same disease briefing · shares prostate
- GSE300947 A novel six-biomarker panel identified from male breast cancer-associated fibroblasts demonstrates prognostic power for prostate tumors 6 samples same disease briefing · shares prostate
- GSE120181 Human prostate cancer cell line, 22Rv1: Control vs. luteolin treatment 2 samples same disease briefing · shares prostate
- GSE242541 ONECUT2 is a druggable driver of luminal to basal breast cancer plasticity 12 samples same disease briefing
- GSE278135 Genome-scale DNA methylome and transcriptome profiles of early prostate cancer recurrence after prostatectomy [RNA-seq] 18 samples shares prostatectomy, genome-scale, recurrence, methylome, profiles, prostate, early
- GSE46691 Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy 545 samples shares prostatectomy, prostate, early
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.