Transcriptional profiling by 3' digital gene expression of human CD34+ HSPCs isolated from the umbilical cord blood
RNA-seq (gene expression) · human · 96 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
- Homo sapiens (human)
- Samples
- 96 samples: 11 conditions, mostly with about 9 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.
- Paper
- Distinct subsets of multi-lymphoid progenitors support ontogeny-related changes in human lymphopoiesisCell reports · 2023
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 GSE215045_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 PRJNA888207. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 96 samples.
How we read this: 11 replicated groups read from 96 sample titles; they account for 96 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.
- GSM6620354 HSCs_rep1 HSCs
- GSM6620355 HSCs_rep2 HSCs
- GSM6620356 HSCs_rep3 HSCs
- GSM6620357 HSCs_rep4 HSCs
- GSM6620358 HSCs_rep5 HSCs
- GSM6620359 HSCs_rep6 HSCs
- GSM6620360 HSCs_rep7 HSCs
- GSM6620361 HSCs_rep8 HSCs
- GSM6620362 HSCs_rep9 HSCs
- GSM6620363 HSCs_rep10 HSCs
- GSM6620364 HSCs_rep11 HSCs
- GSM6620365 HSCs_rep12 HSCs
- GSM6620366 HSCs_rep13 HSCs
- GSM6620367 HSCs_rep14 HSCs
- GSM6620368 HSCs_rep15 HSCs
- GSM6620369 HPCs_rep1 HPCs
- GSM6620370 HPCs_rep2 HPCs
- GSM6620371 HPCs_rep3 HPCs
- GSM6620372 117hi_CD7n_MPPs_rep1 117hi_CD7n_MPPs
- GSM6620373 117hi_CD7n_MPPs_rep2 117hi_CD7n_MPPs
- GSM6620374 117hi_CD7n_MPPs_rep3 117hi_CD7n_MPPs
- GSM6620375 117hi_CD7n_MPPs_rep4 117hi_CD7n_MPPs
- GSM6620376 117hi_CD7n_MPPs_rep5 117hi_CD7n_MPPs
- GSM6620377 117hi_CD7n_MPPs_rep6 117hi_CD7n_MPPs
- GSM6620378 117hi_CD7n_MPPs_rep7 117hi_CD7n_MPPs
- GSM6620379 117hi_CD7n_MPPs_rep8 117hi_CD7n_MPPs
- GSM6620380 117hi_CD7n_MPPs_rep9 117hi_CD7n_MPPs
- GSM6620381 117hi_CD7p_MPPs_rep1 117hi_CD7p_MPPs
- GSM6620382 117hi_CD7p_MPPs_rep2 117hi_CD7p_MPPs
- GSM6620383 117hi_CD7p_MPPs_rep3 117hi_CD7p_MPPs
- GSM6620384 117hi_CD7p_MPPs_rep4 117hi_CD7p_MPPs
- GSM6620385 117int_CD7n_MPPs_rep1 117int_CD7n_MPPs
- GSM6620386 117int_CD7n_MPPs_rep2 117int_CD7n_MPPs
- GSM6620387 117int_CD7n_MPPs_rep3 117int_CD7n_MPPs
- GSM6620388 117int_CD7n_MPPs_rep4 117int_CD7n_MPPs
- GSM6620389 117int_CD7n_MPPs_rep5 117int_CD7n_MPPs
- GSM6620390 117int_CD7n_MPPs_rep6 117int_CD7n_MPPs
- GSM6620391 117int_CD7n_MPPs_rep7 117int_CD7n_MPPs
- GSM6620392 117int_CD7n_MPPs_rep8 117int_CD7n_MPPs
- GSM6620393 117int_CD7n_MPPs_rep9 117int_CD7n_MPPs
+ 56 more — browse all 96 samples with per-sample file links →
- GSE324988 Effect of BHLHE40 silencing using short-hair pin RNA on CD34+ cells isolated from human cord blood, during TGF-B1 depedent Langerhans cell differentiation 12 samples shares cd34, isolated, blood, cord
- GSE302178 Umbilical Cord Blood Cell Transcriptional and Methylation Signatures at Birth Are Associated with BPD Development [RNA-Seq] 27 samples shares umbilical, blood, cord
- GSE302180 Umbilical Cord Blood Cell Transcriptional and Methylation Signatures at Birth Are Associated with BPD Development 54 samples shares umbilical, blood, cord
- GSE229196 Effect of HES6 knockdown on gene expression in vitro differentiated megakaryocytes, erythroblasts and precursor cells, cultured from CB CD34+ HSPCs. 36 samples shares cd34, hspcs
- GSE248671 Gene expression analysis of human sickle cell disease (SCD) and healthy donor (HD) CD34+ hematopoietic stem/progenitor cells (HSPCs) treated with CRISPR/Cas9 targeting the HBG promoters or untreated samples 24 samples shares cd34, hspcs
- GSE277708 Transcriptional profiling of isolated T cells of healthy individuals after treatment with supernatant of peripheral blood mononuclear cells (PBMCs) of the same individuals treated overnight with soluble CD14 (sCD14) 12 samples shares isolated, blood
- GSE272978 Multi-omics Analysis of Umbilical Cord Hematopoietic Stem Cells from a Multi-ethnic Cohort of Hawaii Reveals the Intergenerational Effect of Maternal Pre-Pregnancy Obesity and Risk Prediction for Cancers 50 samples shares umbilical, cord
- GSE298520 An engineered hypoxia-response promoter for human umbilical cord-derived mesenchymal stem cell-based therapeutics 15 samples shares umbilical, cord
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.