Integrative single-nucleus multiomic, CUT&Tag, and bulk RNA-seq profiling of human and mouse prefrontal cortex reveals gene regulatory mechanisms of cortical development and Meis2 function
Single-nucleus RNA-seq · human · 34 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
- Organism
- Homo sapiens (human)
- Samples
- 34 samples: 8 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.
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 GSE325427_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 PRJNA1438418 and SRA study SRP684386. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 8 replicated groups read from 34 sample titles; they account for 18 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.
- GSM9603485 snMultiome(snATAC-seq) of human mid-fetal dlPFC sample H421DFCm2
- GSM9603486 snMultiome(snRNA-seq) of human mid-fetal dlPFC sample H421DFCm2
- GSM9603487 snMultiome(snATAC-seq) of human mid-fetal dlPFC sample H431DFCm
- GSM9603488 snMultiome(snRNA-seq) of human mid-fetal dlPFC sample H431DFCm
- GSM9603489 snMultiome(snATAC-seq) of human mid-fetal dlPFC sample H596DFCm1
- GSM9603490 snMultiome(snRNA-seq) of human mid-fetal dlPFC sample H596DFCm1
- GSM9603491 snMultiome(snATAC-seq) of human mid-fetal dlPFC sample H429DFCm
- GSM9603492 snMultiome(snRNA-seq) of human mid-fetal dlPFC sample H429DFCm
- GSM9603505 snMultiome(snATAC-seq) of WT mouse P1 motor cortex sample MfP1MCm
- GSM9603506 snMultiome(snRNA-seq) of WT mouse P1 motor cortex sample MfP1MCm
- GSM9603507 snMultiome(snATAC-seq) of WT mouse P1 mPFC sample MfP1PFm
- GSM9603508 snMultiome(snRNA-seq) of WT mouse P1 mPFC sample MfP1PFm
- GSM9603509 snMultiome(snATAC-seq) of WT mouse P1 motor cortex sample MmP1MCm
- GSM9603510 snMultiome(snRNA-seq) of WT mouse P1 motor cortex sample MmP1MCm
- GSM9603511 snMultiome(snATAC-seq) of WT mouse P1 mPFC sample MmP1PFm
- GSM9603512 snMultiome(snRNA-seq) of WT mouse P1 mPFC sample MmP1PFm
- GSM9603513 RNA-seq of CTR mouse P0 mPFC sample MP0PFC1 RNA-seq of CTR mouse P0…
- GSM9603514 RNA-seq of CTR mouse P0 mPFC sample MP0PFC2 RNA-seq of CTR mouse P0…
- GSM9603515 RNA-seq of CTR mouse P0 mPFC sample MP0PFC3 RNA-seq of CTR mouse P0…
- GSM9603516 RNA-seq of Meis2-cKO mouse P0 mPFC sample MP0PFE1 RNA-seq of Meis2-cKO mo…
- GSM9603517 RNA-seq of Meis2-cKO mouse P0 mPFC sample MP0PFE2 RNA-seq of Meis2-cKO mo…
- GSM9603518 RNA-seq of Meis2-cKO mouse P0 mPFC sample MP0PFE3 RNA-seq of Meis2-cKO mo…
- GSM9829202 H3K27ac CUT&Tag of human mid-fetal dlPFC DFC1 H3K27ac CUT&Tag of huma…
- GSM9829203 H3K4me3 CUT&Tag of human mid-fetal dlPFC DFC1 H3K4me3 CUT&Tag of huma…
- GSM9829204 MEIS2 CUT&Tag of human mid-fetal dlPFC DFC1 MEIS2 CUT&Tag of human …
- GSM9829205 RARA CUT&Tag of human mid-fetal dlPFC DFC1 RARA CUT&Tag of human m…
- GSM9829206 RARB CUT&Tag of human mid-fetal dlPFC DFC1 RARB CUT&Tag of human m…
- GSM9829207 RXRG CUT&Tag of human mid-fetal dlPFC DFC1 RXRG CUT&Tag of human m…
- GSM9829208 H3K27ac CUT&Tag of human mid-fetal dlPFC DFC2 H3K27ac CUT&Tag of huma…
- GSM9829209 H3K4me3 CUT&Tag of human mid-fetal dlPFC DFC2 H3K4me3 CUT&Tag of huma…
- GSM9829210 MEIS2 CUT&Tag of human mid-fetal dlPFC DFC2 MEIS2 CUT&Tag of human …
- GSM9829211 RARA CUT&Tag of human mid-fetal dlPFC DFC2 RARA CUT&Tag of human m…
- GSM9829212 RARB CUT&Tag of human mid-fetal dlPFC DFC2 RARB CUT&Tag of human m…
- GSM9829213 RXRG CUT&Tag of human mid-fetal dlPFC DFC2 RXRG CUT&Tag of human m…
- GSE283531 MOZ and HBO1 Histone Acetyltransferase Complexes Are Molecular Dependencies and Therapeutic Targets in NUP98-Rearranged Acute Myeloid Leukemia [RNA-Seq] 54 samples shares cut, rna-seq
- GSE253138 A dual role for PSIP1/LEDGF in T-cell acute lymphoblastic leukemia [RNA-seq] 42 samples shares cut, rna-seq
- GSE253748 Functional Characterization of Cooperating MGA Mutations in RUNX1::RUNX1T1 Acute Myeloid Leukemia [RNA-seq] 29 samples shares cut, rna-seq
- GSE239350 Identifying STRN3-RARA as a new fusion gene for acute promyelocytic leukemia [RNA-seq 2] 6 samples shares cut, rna-seq
- GSE233208 Single-nucleus RNA-Seq and spatial transcriptomics characterization of Alzheimer’s Disease and Down Syndrome 185 samples shares single-nucleus, rna-seq
- GSE268496 A Simplified Preparation Method for Single-Nucleus RNA-Sequencing Using Long-Term Frozen Brain Tumor Tissues 15 samples shares single-nucleus, rna-seq
- GSE253753 Functional Characterization of Cooperating MGA Mutations in RUNX1::RUNX1T1 Acute Myeloid Leukemia 126 samples shares cut
- GSE295715 Leukemia-mutated proteins PHF6 and PHIP form a chromatin complex that represses acute myeloid leukemia stemness 90 samples shares cut
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.