NOTCH1 mediates a reciprocal switch between two distinct secretomes during senescence
RNA-seq (gene expression) · human · 48 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
- 48 samples
- 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 GSE72409_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 PRJNA293985 and SRA study SRP062871. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 48 more — browse all 48 samples with per-sample file links →
- GSE240377 Distinct functions of wild-type and mutant Δ133p53α R273H differentially regulate glioblastoma aggressiveness and therapy-induced senescence 72 samples shares senescence, distinct
- GSE255978 Senescence defines a distinct subset of myofibroblasts that orchestrates immunosuppression in pancreatic cancer 30 samples shares senescence, distinct
- GSE253279 Single-Cell Gene Expression Profiling reveals distinct exhaustion and senescence signatures in T cells across various types of male infertility 15 samples shares senescence, distinct
- GSE285137 A phosphorylation switch within the Mediator subunit MED15 controls cellular senescence and cognitive decline [ChIP-seq] 10 samples shares senescence, switch
- GSE288952 KROX20-Notch1 Network Transcriptionally Regulates Meibomian Gland Stem Cells for Its Development and Homeostasis 19 samples shares notch1
- GSE262001 Gene expression profiling of Triple Negative Breast Cancer MB157 cells and GSI-resistant MB157R cells upon induction of Notch1 or Sox2 signaling. 12 samples shares notch1
- GSE244944 NOTCH1 reverses immune suppression in small cell lung cancer through reactivation of STING [CHIP-seq] 18 samples shares notch1
- GSE307755 Direct contact between iPSC-derived macrophages and hepatocytes drives reciprocal acquisition of Kupffer cell identity and hepatocyte maturation 53 samples shares reciprocal
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.