Codon-dependent regulation of mRNA translation and stability by ZC3H7A and ZC3H7B RNA-binding proteins [RNA-seq]
RNA-seq (gene expression) · human · 15 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
- 15 samples: 5 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 GSE297338_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 PRJNA1263547 and SRA study SRP585650. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8988844 Flag/HA-control-RNA-Seq- replicate 1 Flag/HA-control-RNA-Seq
- GSM8988845 Flag/HA-control-RNA-Seq- replicate 2 Flag/HA-control-RNA-Seq
- GSM8988846 Flag/HA-control-RNA-Seq- replicate 3 Flag/HA-control-RNA-Seq
- GSM8988847 Flag/HA-ZC3H7A-RNA-Seq- replicate 1 Flag/HA-ZC3H7A-RNA-Seq
- GSM8988848 Flag/HA-ZC3H7A-RNA-Seq- replicate 2 Flag/HA-ZC3H7A-RNA-Seq
- GSM8988849 Flag/HA-ZC3H7A-RNA-Seq- replicate 3 Flag/HA-ZC3H7A-RNA-Seq
- GSM8988850 Flag/HA-ZC3H7B-RNA-Seq- replicate 1 Flag/HA-ZC3H7B-RNA-Seq
- GSM8988851 Flag/HA-ZC3H7B-RNA-Seq- replicate 2 Flag/HA-ZC3H7B-RNA-Seq
- GSM8988852 Flag/HA-ZC3H7B-RNA-Seq- replicate 3 Flag/HA-ZC3H7B-RNA-Seq
- GSM8988853 Parental-RNA-Seq- Replicate 1 Parental-RNA-Seq
- GSM8988854 Parental-RNA-Seq- Replicate 2 Parental-RNA-Seq
- GSM8988855 Parental-RNA-Seq- Replicate 3 Parental-RNA-Seq
- GSM8988856 ZC3H7A/B-DD-RNA-Seq- Replicate 1 ZC3H7A/B-DD-RNA-Seq
- GSM8988857 ZC3H7A/B-DD-RNA-Seq- Replicate 2 ZC3H7A/B-DD-RNA-Seq
- GSM8988858 ZC3H7A/B-DD-RNA-Seq- Replicate 3 ZC3H7A/B-DD-RNA-Seq
- GSE325326 Codon-dependent regulation of mRNA translation and stability by ZC3H7A and ZC3H7B RNA-binding proteins 24 samples shares zc3h7a, zc3h7b, codon-dependent, translation, rna-binding, stability, proteins
- GSE297337 Codon-dependent regulation of mRNA translation and stability by ZC3H7A and ZC3H7B RNA-binding proteins [Ribo-seq] 15 samples shares zc3h7a, zc3h7b, codon-dependent, translation, rna-binding, stability, proteins
- GSE256237 The G3BP Stress-Granule Proteins Reinforce the Translation Program of the Integrated Stress Response 68 samples shares translation, proteins
- GSE248571 m6A sites in the coding region trigger translation-dependent mRNA decay (RNA-seq) 32 samples shares translation, rna-seq
- GSE289390 pTα enhances mRNA translation and potentiates CAR T cells for solid tumor eradication [bulk RNA-seq] 25 samples shares translation, rna-seq
- GSE301531 S100A8/A9 Priming Alters Translational Related Proteins and Upregulates Pro‑Regenerative Factors in Mesenchymal Stromal Cells 18 samples shares translation, proteins
- GSE100303 Histone demethylation and c-MYC activation enhance translational capacity in response to amino acid restriction [RNA-seq] 14 samples shares translation, rna-seq
- GSE313691 Translational Downregulation of 5’ TOP mRNAs During T Cell Exhaustion [RNA-Seq] 12 samples shares translation, 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.