DDX50 cooperates with STAU1 to effect stabilization of pro-differentiation RNAs
RNA-seq (gene expression) · mouse · 134 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
- Mus musculus (mouse)
- Samples
- 134 samples: 92 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 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
- DDX50 cooperates with STAU1 to effect stabilization of pro-differentiation RNAsCell reports · 2025
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 GSE252442_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 PRJNA1060656 and SRA study SRP480826. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 134 sample titles: 92 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.
- GSM7999461 Exp119 DDX50 Prog KC 109
- GSM7999462 Exp119 DDX50 Prog KC 209
- GSM7999463 Exp119 DDX50 Prog KC 309
- GSM7999464 Exp119 DDX50 L gluc KC 109
- GSM7999465 Exp119 DDX50 L gluc KC 209
- GSM7999466 Exp119 DDX50 L gluc KC 309
- GSM7999467 Exp119 DDX50 H gluc KC 109
- GSM7999468 Exp119 DDX50 H gluc KC 209
- GSM7999469 Exp119 DDX50 H gluc KC 309
- GSM7999470 Exp115 DDX50 Prog KC 112
- GSM7999471 Exp115 DDX50 Prog KC 212
- GSM7999472 Exp115 DDX50 Prog KC 312
- GSM7999473 Exp115 DDX50 L gluc KC 112
- GSM7999474 Exp115 DDX50 L gluc KC 212
- GSM7999475 Exp115 DDX50 L gluc KC 312
- GSM7999476 Exp115 DDX50 H gluc KC 112
- GSM7999477 Exp115 DDX50 H gluc KC 212
- GSM7999478 Exp115 DDX50 H gluc KC 312
- GSM7999479 shControl biorep1 adipocyte
- GSM7999480 shControl biorep2 adipocyte
- GSM7999481 shDDX50-1 biorep1 adipocyte
- GSM7999482 shDDX50-1 biorep2 adipocyte
- GSM7999483 shDDX50-2 biorep1 adipocyte
- GSM7999484 shDDX50-2 biorep2 adipocyte
- GSM7999485 shSTAU1-2 biorep1 adipocyte
- GSM7999486 shSTAU1-2 biorep2 adipocyte
- GSM7999487 shSTAU1-4 biorep1 adipocyte
- GSM7999488 shSTAU1-4 biorep2 adipocyte
- GSM7999489 shControl cervical 1
- GSM7999490 shDDX50-13 cervical 1
- GSM7999491 shDDX50-4 cervical 1
- GSM7999492 shControl cervical 2
- GSM7999493 shDDX50-13 cervical 2
- GSM7999494 shDDX50-4 cervical 2
- GSM7999495 shControl biorep1 techrep1 organoid
- GSM7999496 shControl biorep1 techrep2 organoid
- GSM7999497 shControl biorep2 techrep1 organoid
- GSM7999498 shControl biorep2 techrep2 organoid
- GSM7999499 shControl biorep3 techrep1 organoid
- GSM7999500 shControl biorep3 techrep2 organoid
+ 94 more — browse all 134 samples with per-sample file links →
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.