Long-term multi-modal recording reveals epigenetic adaptation routes in dormant breast cancer cells [RNA-Seq]
RNA-seq (gene expression) · human · 51 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
- 51 samples: 13 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.
- Paper
- Long-term Multimodal Recording Reveals Epigenetic Adaptation Routes in Dormant Breast Cancer CellsCancer discovery · 2024
Read the full summary ↓
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 GSE234171_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 PRJNA980226 and SRA study SRP441298. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 28 samples.
How we read this: 13 replicated groups read from 51 sample titles; they account for 28 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.
- GSM7451128 POT.1 POT
- GSM7451129 POT.2 POT
- GSM7451130 POT.3 POT
- GSM7451131 T7.1 T7
- GSM7451132 T7.2 T7
- GSM7451134 AI7.1 AI7
- GSM7451135 AI7.2 AI7
- GSM7451136 T14.1 T14
- GSM7451137 T14.2 T14
- GSM7451138 AI14.1 AI14
- GSM7451139 AI14.2 AI14
- GSM7451141 UT30.1 UT30
- GSM7451142 UT30.2 UT30
- GSM7451143 T30.1 T30
- GSM7451144 T30.2 T30
- GSM7451145 AI30.1 AI30
- GSM7451147 AI30.2 AI30
- GSM7451148 T60.1 T60
- GSM7451149 T60.2 T60
- GSM7451151 AI60.1 AI60
- GSM7451152 AI60.2 AI60
- GSM7451153 T.theta
- GSM7451154 T.eta
- GSM7451156 AI90.1 AI90
- GSM7451157 AI90.2 AI90
- GSM7451158 UT120.1 UT120
- GSM7451159 UT120.2 UT120
- GSM7451160 T.epsilon
- GSM7451162 T.zeta
- GSM7451163 AI.delta
- GSM7451164 T.gamma
- GSM7451165 T.delta
- GSM7451166 T.alpha
- GSM7451167 T.beta
- GSM7451168 AI.alpha
- GSM7451170 AI.gamma
- GSM7451171 AI.beta
- GSM7451172 AI.epsilon
- GSM7451173 U170.1 U170
- GSM7451174 U170.2 U170
+ 11 more — browse all 51 samples with per-sample file links →
- GSE234181 Long-term multi-modal recording reveals epigenetic adaptation routes in dormant breast cancer cells [scRNA-Seq] 184 samples shares multi-modal, epigenetic, adaptation, long-term, recording, dormant, rna-seq, routes
- GSE311827 AP-1 Mediates Cellular Adaptation and Memory Formation [Bulk RNA-seq] 192 samples shares adaptation, rna-seq
- GSE310388 In situ multi-modal characterization of pancreatic cancer reveals tumor cell identity as a defining factor of the surrounding microenvironment. [RNA-Seq] 171 samples shares multi-modal, rna-seq
- GSE232076 In vitro reconstitution of epigenetic reprogramming in the human germ line [RNA-Seq] 89 samples shares epigenetic, rna-seq
- GSE306915 Integrated epigenetic and genetic programming of primary human T cells [RNA-seq] 77 samples shares epigenetic, rna-seq
- GSE282444 Epigenetic Memory of Intestinal Epithelial Cells in Inflammatory Bowel Disease [RNA-seq] 56 samples shares epigenetic, rna-seq
- GSE295173 Multi-modal single-cell sequencing reveals network transition in circulating monocytes that aligns with faster recovery in trauma patients and favors a response to M-CSF [scRNA-Seq] 30 samples shares multi-modal, rna-seq
- GSE271456 Locus-specific and genome-wide analysis of adaptations to hypoxia in iPSC-derived endothelium from a population adapted to high altitude [RNA-Seq] 20 samples shares adaptation, rna-seq
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.