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Large-scale tethering of RNA binding proteins discovers alternative splicing regulators

GSE100638 Homo sapiens (human) Expression microarray 220 samples Submitted 2025/04/27 Platform GPL20301Platform GPL17585
At a glance

Expression microarray · human · 220 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
220 samples: 196 distinct titles, 24 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
This dataset
Open GSE100638 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE100638_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA392334 and SRA study SRP110718. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
196 distinct titles, 24 of them repeated
BOLL_IP ×2 DAZAP1_IP ×2 CSTF1_IP ×2 CCNL1_IP ×2 FUBP1_IP ×2 RBM11_IP ×2 LUC7L_IP ×2 TRNAU1AP_IP ×2 +16 more

How we read this: Read from 220 sample titles: 196 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.

Samples in this study

+ 180 more — browse all 220 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.