Cancer-associated SF3B1 Mutations Inhibit mRNA Nuclear Export by Disrupting SF3B1–THOC5 Interactions
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × HEK293T cells-WTNu vs 3 × HEK293T cells-WTCyto vs 3 × HEK293T cells-K700ENu vs 3 × HEK293T cells-K700ECytoGroups 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
- Cancer-associated SF3B1 mutations inhibit mRNA nuclear export by disrupting SF3B1-THOC5 interactionsJournal of biochemistry · 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 GSE268355_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 PRJNA1116549 and SRA study SRP509886. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8290028 HEK293T cells-WTNu_rep1 HEK293T cells-WTNu
- GSM8290029 HEK293T cells-WTNu_rep2 HEK293T cells-WTNu
- GSM8290030 HEK293T cells-WTNu_rep3 HEK293T cells-WTNu
- GSM8290031 HEK293T cells-WTCyto_rep1 HEK293T cells-WTCyto
- GSM8290032 HEK293T cells-WTCyto_rep2 HEK293T cells-WTCyto
- GSM8290033 HEK293T cells-WTCyto_rep3 HEK293T cells-WTCyto
- GSM8290034 HEK293T cells-K700ENu_rep1 HEK293T cells-K700ENu
- GSM8290035 HEK293T cells-K700ENu_rep2 HEK293T cells-K700ENu
- GSM8290036 HEK293T cells-K700ENu_rep3 HEK293T cells-K700ENu
- GSM8290037 HEK293T cells-K700ECyto_rep1 HEK293T cells-K700ECyto
- GSM8290038 HEK293T cells-K700ECyto_rep2 HEK293T cells-K700ECyto
- GSM8290039 HEK293T cells-K700ECyto_rep3 HEK293T cells-K700ECyto
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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.