Secreted factors from M1 macrophages drive prostate cancer stem cell plasticity by upregulating NANOG, SOX2 and CD44 through NFκB signaling
RNA-seq (gene expression) · human · 30 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)
- Topic
- Prostate cancerThis series is part of our curated briefing on it.
- Samples
- 30 samples: 10 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.
- Paper
- Secreted factors from M1 macrophages drive prostate cancer stem cell plasticity by upregulating NANOG, SOX2, and CD44 through NFκB-signalingOncoimmunology · 2024
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 GSE264191_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 PRJNA1101426 and SRA study SRP502283. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 10 replicated groups read from 30 sample titles; they account for 30 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.
- GSM7989085 LNCaP_RNAseq_CTRL_rep1 LNCaP_RNAseq_CTRL
- GSM7989086 LNCaP_RNAseq_CTRL_rep2 LNCaP_RNAseq_CTRL
- GSM7989087 LNCaP_RNAseq_CTRL_rep3 LNCaP_RNAseq_CTRL
- GSM7989088 LNCaP_RNAseq_M0_rep1 LNCaP_RNAseq_M0
- GSM7989089 LNCaP_RNAseq_M0_rep2 LNCaP_RNAseq_M0
- GSM7989090 LNCaP_RNAseq_M0_rep3 LNCaP_RNAseq_M0
- GSM7989091 LNCaP_RNAseq_M1_rep1 LNCaP_RNAseq_M1
- GSM7989092 LNCaP_RNAseq_M1_rep2 LNCaP_RNAseq_M1
- GSM7989093 LNCaP_RNAseq_M1_rep3 LNCaP_RNAseq_M1
- GSM7989094 LNCaP_RNAseq_M2_rep1 LNCaP_RNAseq_M2
- GSM7989095 LNCaP_RNAseq_M2_rep2 LNCaP_RNAseq_M2
- GSM7989096 LNCaP_RNAseq_M2_rep3 LNCaP_RNAseq_M2
- GSM7989097 LNCaP_RNAseq_M1-DMSO_rep1 LNCaP_RNAseq_M1-DMSO
- GSM7989098 LNCaP_RNAseq_M1-DMSO_rep2 LNCaP_RNAseq_M1-DMSO
- GSM7989099 LNCaP_RNAseq_M1-DMSO_rep3 LNCaP_RNAseq_M1-DMSO
- GSM7989100 LNCaP_RNAseq_M1-IKK_rep1 LNCaP_RNAseq_M1-IKK
- GSM7989101 LNCaP_RNAseq_M1-IKK_rep2 LNCaP_RNAseq_M1-IKK
- GSM7989102 LNCaP_RNAseq_M1-IKK_rep3 LNCaP_RNAseq_M1-IKK
- GSM8213751 RPMI 1 RPMI
- GSM8213752 RPMI 2 RPMI
- GSM8213753 RPMI 3 RPMI
- GSM8213754 M0 conditioned medium 1 M0 conditioned medium
- GSM8213755 M0 conditioned medium 2 M0 conditioned medium
- GSM8213756 M0 conditioned medium 3 M0 conditioned medium
- GSM8213757 M1 conditioned medium 1 M1 conditioned medium
- GSM8213758 M1 conditioned medium 2 M1 conditioned medium
- GSM8213759 M1 conditioned medium 3 M1 conditioned medium
- GSM8213760 M2 conditioned medium 1 M2 conditioned medium
- GSM8213761 M2 conditioned medium 2 M2 conditioned medium
- GSM8213762 M2 conditioned medium 3 M2 conditioned medium
- 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
- GSE242541 ONECUT2 is a druggable driver of luminal to basal breast cancer plasticity 12 samples same disease briefing · shares plasticity
- 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
- GSE71008 Plasma extracellular RNA profiles in healthy and cancer patients 192 samples same disease briefing
- GSE251851 Secreted factors from M1 macrophages drive prostate cancer stem cell plasticity by upregulating NANOG, SOX2 and CD44 through NFκB signaling [LNCaP] 18 samples shares nanog, sox2, cd44, upregulating, macrophages, plasticity, secreted, prostate
- GSE264190 Secreted factors from M1 macrophages drive prostate cancer stem cell plasticity by upregulating NANOG, SOX2 and CD44 through NFκB signaling [LNCaP-C42B] 12 samples shares nanog, sox2, cd44, upregulating, macrophages, plasticity, secreted, prostate
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.