The nuclear cap-binding complex safeguards stress-resistant protein synthesis and proliferation of stem cells
RNA-seq (gene expression) · human · 24 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
- 24 samples: 12 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
- The nuclear cap-binding complex safeguards stress-resistant protein synthesis and proliferation of stem cellsScience advances · 2026
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 GSE225012_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 PRJNA933567 and SRA study SRP569539. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 12 replicated groups read from 24 sample titles; they account for 24 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.
- GSM7037041 HEK293T, control siRNA, sodium arsenite, CBP80 Iped, set1 HEK293T, control siRNA,…
- GSM7037042 HEK293T, eIF2A siRNA, sodium arsenite, CBP80 Iped, set1 HEK293T, eIF2A siRNA, s…
- GSM7037043 HEK293T, control siRNA, sodium arsenite, CBP80 Iped, set2 HEK293T, control siRNA,…
- GSM7037044 HEK293T, eIF2A siRNA, sodium arsenite, CBP80 Iped, set2 HEK293T, eIF2A siRNA, s…
- GSM7037045 HEK293T, control siRNA, sodium arsenite, eIF4E Iped, set1 HEK293T, control siRNA,…
- GSM7037046 HEK293T, eIF2A siRNA, sodium arsenite, eIF4E Iped, set1 HEK293T, eIF2A siRNA, s…
- GSM7037047 HEK293T, control siRNA, sodium arsenite, eIF4E Iped, set2 HEK293T, control siRNA,…
- GSM7037048 HEK293T, eIF2A siRNA, sodium arsenite, eIF4E Iped, set2 HEK293T, eIF2A siRNA, s…
- GSM7037049 H9, control shRNA, set1 H9, control shRNA,
- GSM7037050 H9, eIF2A shRNA, set1 H9, eIF2A shRNA,
- GSM7037051 H9, control shRNA, set2 H9, control shRNA,
- GSM7037052 H9, eIF2A shRNA, set2 H9, eIF2A shRNA,
- GSM7037053 HEK293T, control siRNA, sodium arsenite, set1 HEK293T, control siRNA,…
- GSM7037054 HEK293T, eIF2A siRNA, sodium arsenite, set1 HEK293T, eIF2A siRNA, s…
- GSM7037055 HEK293T, control siRNA, sodium arsenite, set2 HEK293T, control siRNA,…
- GSM7037056 HEK293T, eIF2A siRNA, sodium arsenite, set2 HEK293T, eIF2A siRNA, s…
- GSM7037057 RNA-seq_H9, control shRNA, set1 RNA-seq_H9, control shR…
- GSM7037058 RNA-seq_H9, eIF2A shRNA, set1 RNA-seq_H9, eIF2A shRNA,
- GSM7037059 RNA-seq_H9, control shRNA, set2 RNA-seq_H9, control shR…
- GSM7037060 RNA-seq_H9, eIF2A shRNA, set2 RNA-seq_H9, eIF2A shRNA,
- GSM8838562 H9 hESC CLIP-seq-1 H9 hESC CLIP-seq
- GSM8838563 H9 hESC CLIP-seq-2 H9 hESC CLIP-seq
- GSM8838564 H9 hESC mRNA-seq-1 H9 hESC mRNA-seq
- GSM8838565 H9 hESC mRNA-seq-2 H9 hESC mRNA-seq
- GSE289805 Histone H4 lysine 20 tri-methylation safeguards breast cancer lineage fidelity and unfolded protein response [ChIP-seq/ATAC-seq] 126 samples shares safeguards, protein
- GSE299960 Increased LEF1 protein levels and isoform switching drive cell proliferation in chronic lymphocytic leukemia [CUT&Run] 70 samples shares proliferation, protein
- GSE299964 Increased LEF1 protein levels and isoform switching drive cell proliferation in chronic lymphocytic leukemia [RNA-Seq] 50 samples shares proliferation, protein
- GSE265940 Overexpression of extracellular matrix proteins, increased cell death and reduced cell proliferation contribute to the pathophysiology of microphthalmia across in vitro patient-derived models 48 samples shares proliferation, protein
- GSE289189 Histone H4 lysine 20 tri-methylation safeguards breast cancer lineage fidelity and unfolded protein response [Bulk RNA-seq] 22 samples shares safeguards, protein
- GSE246371 An environmentally relevant mixture of Perfluoroalkyl Substances (PFAS) impacts proliferation, steroid hormone synthesis, and gene transcription in primary human granulosa cells 12 samples shares proliferation, synthesis
- GSE270169 GAPDH Controls Transcript Stability, Protein Translation and Drives Proliferation in Acute Myeloid Leukemia [GAPDH_KD_RNAseq] 12 samples shares proliferation, protein
- GSE301557 Carboxy-Methylation of the Catalytic Subunit of Protein Phosphatase 2A (PP2Ac) Integrates Methionine Availability with Methionine Addicted Cancer Cell Proliferation 12 samples shares proliferation, protein
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.