Transcriptional profiling by 3' digital gene expression of human HSPCs isolated from the bone marrow of fetal, adult or elderly donors
RNA-seq (gene expression) · human · 57 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
- 57 samples: 26 conditions, mostly in duplicateGroups 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 GSE215052_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 PRJNA888126. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 52 samples.
How we read this: 26 replicated groups read from 57 sample titles; they account for 52 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.
- GSM6620524 HSCs_young_GP12
- GSM6620525 HSCs_young_FP6.1 HSCs_young_FP6
- GSM6620526 HSCs_young_FP6.2 HSCs_young_FP6
- GSM6620527 HSCs_old_CP12.1 HSCs_old_CP12
- GSM6620528 HSCs_old_CP12.2 HSCs_old_CP12
- GSM6620529 HSCs_old_EP12.1 HSCs_old_EP12
- GSM6620530 HSCs_old_EP12.2 HSCs_old_EP12
- GSM6620531 CD7n_HSCs_fetal_HP6.1 CD7n_HSCs_fetal_HP6
- GSM6620532 CD7n_HSCs_fetal_HP6.2 CD7n_HSCs_fetal_HP6
- GSM6620533 CD7n_HSCs_fetal_DP6.1 CD7n_HSCs_fetal_DP6
- GSM6620534 CD7n_HSCs_fetal_DP6.2 CD7n_HSCs_fetal_DP6
- GSM6620535 CD7p_HSCs_fetal_HP15.1 CD7p_HSCs_fetal_HP15
- GSM6620536 CD7p_HSCs_fetal_HP15.2 CD7p_HSCs_fetal_HP15
- GSM6620537 CD7p_HSCs_fetal_DP8.1 CD7p_HSCs_fetal_DP8
- GSM6620538 CD7p_HSCs_fetal_DP8.2 CD7p_HSCs_fetal_DP8
- GSM6620539 117hi_CD7n_MPPs_fetal_HP8.1 117hi_CD7n_MPPs_fetal_H…
- GSM6620540 117hi_CD7n_MPPs_fetal_HP8.2 117hi_CD7n_MPPs_fetal_H…
- GSM6620541 117hi_CD7n_MPPs_young_GP10
- GSM6620542 117hi_CD7n_MPPs_young_FP8.1 117hi_CD7n_MPPs_young_F…
- GSM6620543 117hi_CD7n_MPPs_young_FP8.2 117hi_CD7n_MPPs_young_F…
- GSM6620544 117hi_CD7n_MPPs_old_CP10.1 117hi_CD7n_MPPs_old_CP10
- GSM6620545 117hi_CD7n_MPPs_old_CP10.2 117hi_CD7n_MPPs_old_CP10
- GSM6620546 117hi_CD7n_MPPs_old_EP10.1 117hi_CD7n_MPPs_old_EP10
- GSM6620547 117hi_CD7n_MPPs_old_EP10.2 117hi_CD7n_MPPs_old_EP10
- GSM6620548 117p_CD7n_MPPs_fetal_DP13.1 117p_CD7n_MPPs_fetal_DP…
- GSM6620549 117p_CD7n_MPPs_fetal_DP13.2 117p_CD7n_MPPs_fetal_DP…
- GSM6620550 117p_CD7p_MPPs_fetal_DP14.1 117p_CD7p_MPPs_fetal_DP…
- GSM6620551 117p_CD7p_MPPs_fetal_DP14.2 117p_CD7p_MPPs_fetal_DP…
- GSM6620552 CD7n_MLPs_fetal_HP13.1 CD7n_MLPs_fetal_HP13
- GSM6620553 CD7n_MLPs_fetal_HP13.2 CD7n_MLPs_fetal_HP13
- GSM6620554 CD7n_MLPs_young_GP11
- GSM6620555 CD7n_MLPs_young_FP13.1 CD7n_MLPs_young_FP13
- GSM6620556 CD7n_MLPs_young_FP13.2 CD7n_MLPs_young_FP13
- GSM6620557 CD7n_MLPs_old_CP11.1 CD7n_MLPs_old_CP11
- GSM6620558 CD7n_MLPs_old_CP11.2 CD7n_MLPs_old_CP11
- GSM6620559 CD7n_MLPs_old_EP11.1 CD7n_MLPs_old_EP11
- GSM6620560 CD7n_MLPs_old_EP11.2 CD7n_MLPs_old_EP11
- GSM6620561 CD7p_MLPs_fetal_HP14.1 CD7p_MLPs_fetal_HP14
- GSM6620562 CD7p_MLPs_fetal_HP14.2 CD7p_MLPs_fetal_HP14
- GSM6620563 CD7n10p_MLPs_young_GP13
+ 17 more — browse all 57 samples with per-sample file links →
- GSE269411 RNAseq of human plasmacytoid dendritic cells in adult and elderly donors 12 samples shares elderly, donors, adult
- GSE211032 Expression Analysis (RNA-Seq) of adult Myelodysplastic Syndromes (MDS)/Acute Myeloid Leukemia (AML) with isolated monosomy 7 compared to controls 45 samples shares isolated, adult
- GSE275071 Single cell RNAseq analysis of PBMCs isolated from healthy adults subjeccted to sleep restriction 32 samples shares isolated, adult
- GSE235646 Single cell multiome profiles of bone marrow hematopoietic stem and progenitor cells from young and aged donors. 4 samples shares marrow, donors
- GSE285217 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_A549 270 samples shares digital
- GSE283054 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_HepG2 270 samples shares digital
- GSE285424 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing [HT29] 270 samples shares digital
- GSE285554 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_SW1783 270 samples shares digital
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.