HNRNPH controls alternative splicing cooperatively on a transcriptome-wide scale
RNA-seq (gene expression) · synthetic construct; Homo sapiens · 63 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
- synthetic construct; Homo sapiens
- Samples
- 63 samples: 43 distinct titles, 7 of them repeatedGroups 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
- RNA G-quadruplexes mediate cooperativity in HNRNPH binding and splicing regulationbioRxiv : the preprint server for biology · 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 GSE303138_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 PRJNA1294208 and SRA study SRP607643. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 63 sample titles: 43 distinct titles with little repetition. 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.
- GSM9118554 iCLIP, MCF7, HNRNPH immunoprecipitation, rep1
- GSM9118555 iCLIP, MCF7, HNRNPH immunoprecipitation, rep2
- GSM9118556 iCLIP, MCF7, HNRNPH immunoprecipitation, rep3
- GSM9118557 iCLIP, MCF7, HNRNPH immunoprecipitation, rep4
- GSM9118558 iCLIP, MCF7, HNRNPH immunoprecipitation, rep5
- GSM9118559 iCLIP, MCF7, HNRNPH immunoprecipitation, rep6
- GSM9118560 iCLIP, MCF7, HNRNPH immunoprecipitation, rep7
- GSM9118585 overexpression Ctrl, empty vector, rep1 (HNRNPH_OE_Ctrl_rep1)
- GSM9118586 600ng HNRNPH1 overexpression vector, rep1 (HNRNPH_OE_600ng_rep1)
- GSM9118587 1000ng HNRNPH1 overexpression vector, rep1 (HNRNPH_OE_1000ng_rep1)
- GSM9118588 2500ng HNRNPH1 overexpression vector, rep1 (HNRNPH_OE_2500ng_rep1)
- GSM9118589 overexpression Ctrl, empty vector, rep2 (HNRNPH_OE_Ctrl_rep2)
- GSM9118590 600ng HNRNPH1 overexpression vector, rep2 (HNRNPH_OE_600ng_rep2)
- GSM9118591 1000ng HNRNPH1 overexpression vector, rep2 (HNRNPH_OE_1000ng_rep2)
- GSM9118592 2500ng HNRNPH1 overexpression vector, rep2 (HNRNPH_OE_2500ng_rep2)
- GSM9118593 overexpression Ctrl, empty vector, rep3 (HNRNPH_OE_Ctrl_rep3)
- GSM9118594 600ng HNRNPH1 overexpression vector, rep3 (HNRNPH_OE_600ng_rep3)
- GSM9118595 1000ng HNRNPH1 overexpression vector, rep3 (HNRNPH_OE_1000ng_rep3)
- GSM9118596 2500ng HNRNPH1 overexpression vector, rep3 (HNRNPH_OE_2500ng_rep3)
- GSM9118597 siRNA knockdown Ctrl, rep1 (HNRNPH_KD_Ctrl_rep1)
- GSM9118598 0.05nM siRNA HNRNPH1 knockdown, rep1 (HNRNPH_KD_50pM_rep1)
- GSM9118599 0.1nM siRNA HNRNPH1 knockdown, rep1 (HNRNPH_KD_100pM_rep1)
- GSM9118600 0.25nM siRNA HNRNPH1 knockdown, rep1 (HNRNPH_KD_250pM_rep1)
- GSM9118601 0.5nM siRNA HNRNPH1 knockdown, rep1 (HNRNPH_KD_500pM_rep1)
- GSM9118602 1nM siRNA HNRNPH1 knockdown, rep1 (HNRNPH_KD_1000pM_rep1)
- GSM9118603 5nM siRNA HNRNPH1 knockdown, rep1 (HNRNPH_KD_5000pM_rep1)
- GSM9118604 10nM siRNA HNRNPH1 knockdown, rep1 (HNRNPH_KD_10000pM_rep1)
- GSM9118605 siRNA knockdown Ctrl, rep2 (HNRNPH_KD_Ctrl_rep2)
- GSM9118606 0.05nM siRNA HNRNPH1 knockdown, rep2 (HNRNPH_KD_50pM_rep2)
- GSM9118607 0.1nM siRNA HNRNPH1 knockdown, rep2 (HNRNPH_KD_100pM_rep2)
- GSM9118608 0.25nM siRNA HNRNPH1 knockdown, rep2 (HNRNPH_KD_250pM_rep2)
- GSM9118609 0.5nM siRNA HNRNPH1 knockdown, rep2 (HNRNPH_KD_500pM_rep2)
- GSM9118610 1nM siRNA HNRNPH1 knockdown, rep2 (HNRNPH_KD_1000pM_rep2)
- GSM9118611 5nM siRNA HNRNPH1 knockdown, rep2 (HNRNPH_KD_5000pM_rep2)
- GSM9118612 10nM siRNA HNRNPH1 knockdown, rep2 (HNRNPH_KD_10000pM_rep2)
- GSM9118613 siRNA knockdown Ctrl, rep3 (HNRNPH_KD_Ctrl_rep3)
- GSM9118614 0.05nM siRNA HNRNPH1 knockdown, rep3 (HNRNPH_KD_50pM_rep3)
- GSM9118615 0.1nM siRNA HNRNPH1 knockdown, rep3 (HNRNPH_KD_100pM_rep3)
- GSM9118616 0.25nM siRNA HNRNPH1 knockdown, rep3 (HNRNPH_KD_250pM_rep3)
- GSM9118617 0.5nM siRNA HNRNPH1 knockdown, rep3 (HNRNPH_KD_500pM_rep3)
+ 23 more — browse all 63 samples with per-sample file links →
- GSE304327 Transcriptomic analysis of BPA alternative chemicals in primary human mammary epithelial cells 666 samples shares alternative
- GSE287299 Transcriptome-wide mapping of N3-methylcytidine modification at single-base resolution 22 samples shares transcriptome-wide
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.