U2AF1-S34F and U2AF1-Q157R induce distinct RNA splicing and hematopoietic phenotypes in vivo
RNA-seq (gene expression) · mouse · 9 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
- 9 samples: 3 × WT_KL_Native vs 3 × S34F_KL_Native vs 3 × Q157R_KL_NativeGroups 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.
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 GSE282060_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 PRJNA1186736 and SRA study SRP545523. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM8635039 WT_KL_Native_1 WT_KL_Native
- GSM8635040 WT_KL_Native_2 WT_KL_Native
- GSM8635041 WT_KL_Native_3 WT_KL_Native
- GSM8635042 S34F_KL_Native_1 S34F_KL_Native
- GSM8635043 S34F_KL_Native_2 S34F_KL_Native
- GSM8635044 S34F_KL_Native_3 S34F_KL_Native
- GSM8635045 Q157R_KL_Native_1 Q157R_KL_Native
- GSM8635046 Q157R_KL_Native_2 Q157R_KL_Native
- GSM8635047 Q157R_KL_Native_3 Q157R_KL_Native
- GSE277393 Temporal misexpression of En1 during limb development causes distinct phenotypes [RNA-seq] 33 samples shares phenotypes, distinct
- GSE310548 Distinct contributions of Etv2+ and Flk1+ progenitors to endothelial, hematopoietic, and cardiac lineages [RNA-seq] 21 samples shares hematopoietic, distinct
- GSE308698 Impaired IL-10 Receptor Signaling Leads to Inflammation Induced Exhaustion in Hematopoietic Stem Cells 17 samples shares hematopoietic, induce
- GSE277443 EMP1 preserves hematopoietic stem cell potential under homeostasis and radiation-induced injury by alleviating ER stress [ER-stress RNA-seq] 10 samples shares hematopoietic, induce
- GSE294393 Translational Control of Splicing Factors Directs Hematopoietic Stem Cell Fate [RNA-Seq] 8 samples shares hematopoietic, splicing
- GSE272588 Multipotent progenitors with distinct origins, clonal lineage fates, transcriptomes, and surface markers yield two hematopoietic trees 605 samples shares hematopoietic, distinct
- GSE264569 Distinct roles for NF-κB in hematopoietic stem cells and the bone marrow milieu in promoting hematopoietic aging 24 samples shares hematopoietic, distinct
- GSE277445 EMP1 preserves hematopoietic stem cell potential under homeostasis and radiation-induced injury by alleviating ER stress 22 samples shares hematopoietic, induce
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.