m6A sites in the coding region trigger translation-dependent mRNA decay (RNA-seq)
RNA-seq (gene expression) · human · 32 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
- 32 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
- m6A sites in the coding region trigger translation-dependent mRNA decayMolecular cell · 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 GSE248571_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 PRJNA1044802 and SRA study SRP474024. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 10 replicated groups read from 32 sample titles; they account for 32 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.
- GSM7917298 HEK293T, DMSO, 6h, RNA-seq rep1 HEK293T, DMSO, 6h, RNA-…
- GSM7917299 HEK293T, DMSO, 6h, RNA-seq rep2 HEK293T, DMSO, 6h, RNA-…
- GSM7917300 HEK293T, DMSO, 6h, RNA-seq rep3 HEK293T, DMSO, 6h, RNA-…
- GSM7917301 HEK293T, STM2457, 6h, RNA-seq rep1 HEK293T, STM2457, 6h, R…
- GSM7917302 HEK293T, STM2457, 6h, RNA-seq rep2 HEK293T, STM2457, 6h, R…
- GSM7917303 HEK293T, STM2457, 6h, RNA-seq rep3 HEK293T, STM2457, 6h, R…
- GSM7917304 HEK293T, DMSO, 9h, RNA-seq rep1 HEK293T, DMSO, 9h, RNA-…
- GSM7917305 HEK293T, DMSO, 9h, RNA-seq rep2 HEK293T, DMSO, 9h, RNA-…
- GSM7917306 HEK293T, DMSO, 9h, RNA-seq rep3 HEK293T, DMSO, 9h, RNA-…
- GSM7917307 HEK293T, DMSO, 9h, RNA-seq rep4 HEK293T, DMSO, 9h, RNA-…
- GSM7917308 HEK293T, STM2457, 9h, RNA-seq rep1 HEK293T, STM2457, 9h, R…
- GSM7917309 HEK293T, STM2457, 9h, RNA-seq rep2 HEK293T, STM2457, 9h, R…
- GSM7917310 HEK293T, STM2457, 9h, RNA-seq rep3 HEK293T, STM2457, 9h, R…
- GSM7917311 HEK293T, STM2457, 9h, RNA-seq rep4 HEK293T, STM2457, 9h, R…
- GSM7917312 HEK293T, YTHDF2 KD, DMSO, 6h, RNA-seq rep1 HEK293T, YTHDF2 KD, DMS…
- GSM7917313 HEK293T, YTHDF2 KD, DMSO, 6h, RNA-seq rep2 HEK293T, YTHDF2 KD, DMS…
- GSM7917314 HEK293T, YTHDF2 KD, DMSO, 6h, RNA-seq rep3 HEK293T, YTHDF2 KD, DMS…
- GSM7917315 HEK293T, YTHDF2 KD, STM2457, 6h, RNA-seq rep1 HEK293T, YTHDF2 KD, STM…
- GSM7917316 HEK293T, YTHDF2 KD, STM2457, 6h, RNA-seq rep2 HEK293T, YTHDF2 KD, STM…
- GSM7917317 HEK293T, YTHDF2 KD, STM2457, 6h, RNA-seq rep3 HEK293T, YTHDF2 KD, STM…
- GSM8424168 HEK293T (RNA-Seq), DMSO 6h, DMSO 2h, rep1 HEK293T (RNA-Seq), DMSO…
- GSM8424169 HEK293T (RNA-Seq), DMSO 6h, DMSO 2h, rep2 HEK293T (RNA-Seq), DMSO…
- GSM8424170 HEK293T (RNA-Seq), DMSO 6h, DMSO 2h, rep3 HEK293T (RNA-Seq), DMSO…
- GSM8424171 HEK293T (RNA-Seq), STM2457 6h, DMSO 2h, rep1 HEK293T (RNA-Seq), STM2…
- GSM8424172 HEK293T (RNA-Seq), STM2457 6h, DMSO 2h, rep2 HEK293T (RNA-Seq), STM2…
- GSM8424173 HEK293T (RNA-Seq), STM2457 6h, DMSO 2h, rep3 HEK293T (RNA-Seq), STM2…
- GSM8424174 HEK293T (RNA-Seq), DMSO 6h, Emetine 2h, rep1 HEK293T (RNA-Seq), DMSO…
- GSM8424175 HEK293T (RNA-Seq), DMSO 6h, Emetine 2h, rep2 HEK293T (RNA-Seq), DMSO…
- GSM8424176 HEK293T (RNA-Seq), DMSO 6h, Emetine 2h, rep3 HEK293T (RNA-Seq), DMSO…
- GSM8424177 HEK293T (RNA-Seq), STM2457 6h, Emetine 2h, rep1 HEK293T (RNA-Seq), STM2…
- GSM8424178 HEK293T (RNA-Seq), STM2457 6h, Emetine 2h, rep2 HEK293T (RNA-Seq), STM2…
- GSM8424179 HEK293T (RNA-Seq), STM2457 6h, Emetine 2h, rep3 HEK293T (RNA-Seq), STM2…
- GSE270680 A spatially resolved atlas of gastric cancer characterises a lymphocyte aggregated region [scRNA-seq] 77 samples shares rna-seq, region
- GSE245414 RNA-seq profiling of breast metastases from different sites 42 samples shares rna-seq, sites
- GSE308629 Pooled CRISPR screens identify genes and non-coding genomic regions that regulate red blood cell density 99 samples shares coding, region
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares rna-seq
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares rna-seq
- GSE297742 Bulk RNA-seq of primary tumor biopsy samples from prostate adenocarcinoma patients 234 samples shares rna-seq
- GSE293805 Single nucleus RNA-sequencing atlas of pediatric solid tumors 182 samples shares 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.