An in vivo and in vitro spatiotemporal atlas of human fetal midbrain development
Single-cell RNA-seq · human · 29 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 29 samples: 6 conditions, mostly in triplicateGroups 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
- An in vivo and in vitro spatiotemporal profile of human midbrain developmentNature communications · 2026
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 GSE277032_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 PRJNA1160261 and SRA study SRP532348. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 25 samples.
How we read this: 6 replicated groups read from 29 sample titles; they account for 25 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.
- GSM8513009 PC_AGE_1_REP_1 PC_AGE_1
- GSM8513010 PC_AGE_1_REP_2 PC_AGE_1
- GSM8513011 PC_AGE_1_REP_3 PC_AGE_1
- GSM8513012 PC_AGE_2_REP_1 PC_AGE_2
- GSM8513013 PC_AGE_2_REP_2 PC_AGE_2
- GSM8513014 PC_AGE_2_REP_3 PC_AGE_2
- GSM8513015 PC_AGE_3_REP_1 PC_AGE_3
- GSM8513016 PC_AGE_3_REP_2 PC_AGE_3
- GSM8513017 PC_AGE_3_REP_3 PC_AGE_3
- GSM8513018 PC_AGE_4_REP_1 PC_AGE_4
- GSM8513019 PC_AGE_4_REP_2 PC_AGE_4
- GSM8513020 PC_AGE_4_REP_3 PC_AGE_4
- GSM8513021 OCT_BLOCK_1 OCT_BLOCK
- GSM8513022 OCT_BLOCK_2 OCT_BLOCK
- GSM8513023 OCT_BLOCK_3 OCT_BLOCK
- GSM8513024 OCT_BLOCK_4 OCT_BLOCK
- GSM8513025 mid_organoids8644112 mid_organoids
- GSM8513026 mid_organoids8644113 mid_organoids
- GSM8513027 mid_organoids8644114 mid_organoids
- GSM8513028 mid_organoids8643920 mid_organoids
- GSM8513029 mid_organoids8643921 mid_organoids
- GSM8513030 mid_organoids8643922 mid_organoids
- GSM8513031 mid_organoids8644016 mid_organoids
- GSM8513032 mid_organoids8644017 mid_organoids
- GSM8513033 mid_organoids8644018 mid_organoids
- GSM8513034 F10121620_A
- GSM8513035 F10121620_B
- GSM8513036 F10121620_C
- GSM8513037 F10121620_D
- GSE281641 In vitro to in vivo extrapolation modeling to facilitate the integration of transcriptomics data into genotoxicity assessment 161 samples shares vitro, vivo
- GSE230562 Anti-epileptic drugs are endocrine disruptors for the human fetal testis ex vivo. 12 samples shares fetal, vivo
- GSE231666 Gestational and Postnatal Age Define Airway Epithelial Maturation and RSV Responses During the First Year of Life: Results of an ex-vivo/in-vitro Airway Epithelial Cell Study 47 samples shares vitro, vivo
- GSE303026 CDK8/19 inhibition suppresses adaptive resistance to CDK4/6 inhibitors in vitro and in vivo 44 samples shares vitro, vivo
- GSE287622 DNA virus infections shape transposable element activity in vitro and in vivo (DUX4 knockout) 32 samples shares vitro, vivo
- GSE287078 Time- and Dose-Dependent Effects of Irradiation on Endothelial and Tumor Endothelial Cells: Transcriptional, Molecular, and Functional Changes Driving Activation In Vitro and In Vivo 30 samples shares vitro, vivo
- GSE336973 Col1a1 Knockdown Suppresses EMT, Migration, and Invasion of Oral Squamous Cell Carcinoma both In Vitro and In Vivo. 8 samples shares vitro, vivo
- GSE307215 Spatiotemporal Single-Cell Profiling Reveals T Cell Clonal Dynamics and Phenotypic Plasticity in Human Graft-versus-Host Disease 104 samples shares spatiotemporal
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.