IGF2BP3 promotes mRNA degradation through internal m7G modification [RNA-Seq]
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
- IGF2BP3 promotes mRNA degradation through internal m(7)G modificationNature communications · 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 GSE241147_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 PRJNA1006643 and SRA study SRP455771. 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.
- GSM7717335 HepG2 siControl 0h rep1 HepG2 siControl 0h
- GSM7717336 HepG2 siControl 0h rep2 HepG2 siControl 0h
- GSM7717337 HepG2 siControl 3h rep1 HepG2 siControl 3h
- GSM7717338 HepG2 siControl 3h rep2 HepG2 siControl 3h
- GSM7717339 HepG2 siControl 6h rep1 HepG2 siControl 6h
- GSM7717340 HepG2 siControl 6h rep2 HepG2 siControl 6h
- GSM7717341 HepG2 siIGF2BP1 0h rep1 HepG2 siIGF2BP1 0h
- GSM7717342 HepG2 siIGF2BP1 0h rep2 HepG2 siIGF2BP1 0h
- GSM7717343 HepG2 siIGF2BP1 3h rep1 HepG2 siIGF2BP1 3h
- GSM7717344 HepG2 siIGF2BP1 3h rep2 HepG2 siIGF2BP1 3h
- GSM7717345 HepG2 siIGF2BP1 6h rep1 HepG2 siIGF2BP1 6h
- GSM7717346 HepG2 siIGF2BP1 6h rep2 HepG2 siIGF2BP1 6h
- GSM7717347 HepG2 siIGF2BP2 0h rep1 HepG2 siIGF2BP2 0h
- GSM7717348 HepG2 siIGF2BP2 0h rep2 HepG2 siIGF2BP2 0h
- GSM7717349 HepG2 siIGF2BP2 3h rep1 HepG2 siIGF2BP2 3h
- GSM7717350 HepG2 siIGF2BP2 3h rep2 HepG2 siIGF2BP2 3h
- GSM7717351 HepG2 siIGF2BP2 6h rep1 HepG2 siIGF2BP2 6h
- GSM7717352 HepG2 siIGF2BP2 6h rep2 HepG2 siIGF2BP2 6h
- GSM7717353 HepG2 siIGF2BP3 0h rep1 HepG2 siIGF2BP3 0h
- GSM7717354 HepG2 siIGF2BP3 0h rep2 HepG2 siIGF2BP3 0h
- GSM7717355 HepG2 siIGF2BP3 3h rep1 HepG2 siIGF2BP3 3h
- GSM7717356 HepG2 siIGF2BP3 3h rep2 HepG2 siIGF2BP3 3h
- GSM7717357 HepG2 siIGF2BP3 6h rep1 HepG2 siIGF2BP3 6h
- GSM7717358 HepG2 siIGF2BP3 6h rep2 HepG2 siIGF2BP3 6h
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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.