Next Generation Sequencing Facilitates Quantitative Analysis of the Role of Dhx16 in hematopoietic stem cells [RNA-seq]
RNA-seq (gene expression) · mouse · 10 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
- 10 samples
- 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.
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 GSE271860_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 PRJNA1133768 and SRA study SRP518847. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 10 more — browse all 10 samples with per-sample file links →
- GSE278201 Next Generation Sequencing Facilitates Quantitative Analysis of BALB/C mice triple-negative breast cancer Transcriptomes 10 samples shares quantitative, facilitates, generation, next
- GSE240160 Next Generation Sequencing Facilitates Quantitative Analysis of wild type and Rbm25-deficient Bone Marrow Derived macrophages 12 samples shares quantitative, facilitates, generation, next
- GSE265909 yHSC and oHSC scRNAseq with oHSC AThi ATlo Index Sorting. Assessing the transcriptional changes associated with autophagy engagement in old hematopoietic stem cells at single cell resolution. [scRNA-Seq] 563 samples shares hematopoietic, rna-seq, stem
- GSE266509 A Bcl11a-driven mechanism maintaining hematopoietic stem cell functionality gives rise to dysfunction during aging [RNA-Seq] 52 samples shares hematopoietic, rna-seq, stem
- GSE274033 RNA-seq of sorted murine long-term hematopoietic stem cells segmented on CUX1 levels with and without CUX1 knockdown 35 samples shares hematopoietic, rna-seq, stem
- GSE276137 The ac4C acetyltransferase Nat10 promotes RNA stability to support hematopoietic stem cell fate [RNA-seq-32D] 24 samples shares hematopoietic, rna-seq, stem
- GSE262396 Mitochondria-enriched hematopoietic stem cells exhibit elevated self-renewal capabilities, thriving within the context of aged bone marrow [bulk RNA-seq] 24 samples shares hematopoietic, rna-seq, stem
- GSE338821 RNA profiles of hematopoietic stem cells before and after long-term culture [RNA-Seq] 24 samples shares hematopoietic, rna-seq, stem
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.