PI3K-AKT activation determines oncogenic RAS-induced hypertranscription and replication stress [RNASeq]
RNA-seq (gene expression) · human · 18 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
- 18 samples: 6 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.
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 GSE322525_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 PRJNA1430365 and SRA study SRP680194. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9553638 RNA-Seq, BJ-hTert cells, HRASG12V expression, 0h induction, Rep 1 RNA-Seq, BJ-hTert cells…
- GSM9553639 RNA-Seq, BJ-hTert cells, HRASG12V expression, 0h induction, Rep 2 RNA-Seq, BJ-hTert cells…
- GSM9553640 RNA-Seq, BJ-hTert cells, HRASG12V expression, 0h induction, Rep 3 RNA-Seq, BJ-hTert cells…
- GSM9553641 RNA-Seq, BJ-hTert cells, HRASG12V expression, 24h induction, Rep 1 RNA-Seq, BJ-hTert cells…
- GSM9553642 RNA-Seq, BJ-hTert cells, HRASG12V expression, 24h induction, Rep 2 RNA-Seq, BJ-hTert cells…
- GSM9553643 RNA-Seq, BJ-hTert cells, HRASG12V expression, 24h induction, Rep 3 RNA-Seq, BJ-hTert cells…
- GSM9553644 RNA-Seq, BJ-hTert cells, HRASG12V expression, 48h induction, Rep 1 RNA-Seq, BJ-hTert cells…
- GSM9553645 RNA-Seq, BJ-hTert cells, HRASG12V expression, 48h induction, Rep 2 RNA-Seq, BJ-hTert cells…
- GSM9553646 RNA-Seq, BJ-hTert cells, HRASG12V expression, 48h induction, Rep 3 RNA-Seq, BJ-hTert cells…
- GSM9553647 RNA-Seq, BJ-hTert cells, KRASG12V expression, 0h induction, Rep 1 RNA-Seq, BJ-hTert cells…
- GSM9553648 RNA-Seq, BJ-hTert cells, KRASG12V expression, 0h induction, Rep 2 RNA-Seq, BJ-hTert cells…
- GSM9553649 RNA-Seq, BJ-hTert cells, KRASG12V expression, 0h induction, Rep 3 RNA-Seq, BJ-hTert cells…
- GSM9553650 RNA-Seq, BJ-hTert cells, KRASG12V expression, 24h induction, Rep 1 RNA-Seq, BJ-hTert cells…
- GSM9553651 RNA-Seq, BJ-hTert cells, KRASG12V expression, 24h induction, Rep 2 RNA-Seq, BJ-hTert cells…
- GSM9553652 RNA-Seq, BJ-hTert cells, KRASG12V expression, 24h induction, Rep 3 RNA-Seq, BJ-hTert cells…
- GSM9553653 RNA-Seq, BJ-hTert cells, KRASG12V expression, 48h induction, Rep 1 RNA-Seq, BJ-hTert cells…
- GSM9553654 RNA-Seq, BJ-hTert cells, KRASG12V expression, 48h induction, Rep 2 RNA-Seq, BJ-hTert cells…
- GSM9553655 RNA-Seq, BJ-hTert cells, KRASG12V expression, 48h induction, Rep 3 RNA-Seq, BJ-hTert cells…
- GSE322526 PI3K-AKT activation determines oncogenic RAS-induced hypertranscription and replication stress 30 samples shares pi3k-akt, hypertranscription, ras-induced, replication, activation, determines, oncogenic, stress
- GSE322524 PI3K-AKT activation determines oncogenic RAS-induced hypertranscription and replication stress [ChrRNAseq] 12 samples shares pi3k-akt, hypertranscription, ras-induced, replication, activation, determines, oncogenic, stress
- GSE263947 IRF3 drives replication stress signaling and determines sensitivity to genotoxic agents in triple-negative breast cancer cells 12 samples shares replication, determines, stress
- GSE269696 Overexpressed PRR11-SKA2-miR301a/454 bidirectional transcription unit essentially and coordinately promotes PI3K-AKT pathway activation and lung cancer progression 13 samples shares pi3k-akt, activation
- GSE268776 Multi-omics approaches reveal that Diffuse Midline Gliomas are susceptible to replication stress therapy and cholesterol biosynthesis inhibition [RNA-seq] 64 samples shares replication, stress
- GSE288191 Replication stress responses in human lymphocytes change sex-specifically during aging 24 samples shares replication, stress
- GSE296394 PRMT5 regulates splicing of detained introns from DNA damage repair genes to protect against replication stress. 18 samples shares replication, stress
- GSE250616 Cannabinoid Receptor 2 Agonists Attenuate HIV Replication and Inflammatory Activation in HIV-infected Myeloid Cells 16 samples shares replication, activation
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.