Establishment of hematopoietic stem cell compartment after single cell transplantation tracked by FIT approach
Single-cell RNA-seq · mouse · 62 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 62 samples: 5 conditions, mostly with about 4 replicates eachGroups 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.
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 GSE165881_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1243167 and SRA study SRP576311. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 62 samples.
How we read this: 5 replicated groups read from 62 sample titles; they account for 62 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.
- GSM8877286 E0102 E
- GSM8877287 E0101 E
- GSM8877288 E0103 E
- GSM8877289 E0105 E
- GSM8877290 F0108 F
- GSM8877291 F0109 F
- GSM8877292 F0110 F
- GSM8877293 F0111 F
- GSM8877294 F0118 F
- GSM8877295 F0122 F
- GSM8877296 F0402 F
- GSM8877297 F0401 F
- GSM8877298 F0403 F
- GSM8877299 F0405 F
- GSM8877300 F0406 F
- GSM8877301 F0408 F
- GSM8877302 F0409 F
- GSM8877303 F0410 F
- GSM8877304 F0411 F
- GSM8877305 F0413 F
- GSM8877306 F0415 F
- GSM8877307 F0418 F
- GSM8877308 F0419 F
- GSM8877309 F0417 F
- GSM8877310 F0421 F
- GSM8877311 F0420 F
- GSM8877312 F0423 F
- GSM8877313 F0425 F
- GSM8877314 F0429 F
- GSM8877315 F0431 F
- GSM8877316 F0432 F
- GSM8877317 F0438 F
- GSM8877318 F0440 F
- GSM8877319 F0435 F
- GSM8877320 F0436 F
- GSM8877321 F0434 F
- GSM8877322 F1202 F
- GSM8877323 F1203 F
- GSM8877324 F1204 F
- GSM8877325 F1205 F
+ 22 more — browse all 62 samples with per-sample file links →
- GSE296499 CK2α deletion in the hematopoietic compartment leads to mild alterations in terminally differentiated cells and expansion of stem cells 22 samples shares hematopoietic, compartment, stem
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares fit, stem
- GSE271006 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [ATAC-seq] 34 samples shares fit, stem
- 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, stem
- GSE266509 A Bcl11a-driven mechanism maintaining hematopoietic stem cell functionality gives rise to dysfunction during aging [RNA-Seq] 52 samples shares hematopoietic, stem
- GSE278496 HiJAKing the hematopoietic system: a low-frequency JAK2V617F clone drives myeloproliferative neoplasm pathology 43 samples shares hematopoietic, stem
- GSE278208 STING Mediates Increased Self-Renewal and Lineage Skewing in DNMT3A-Mutated Hematopoietic Stem/Progenitor Cells 40 samples shares hematopoietic, stem
- GSE276137 The ac4C acetyltransferase Nat10 promotes RNA stability to support hematopoietic stem cell fate [RNA-seq-32D] 24 samples shares hematopoietic, 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.