Single-cell RNA-seq with Waterfall Reveals Molecular Cascades underlying Adult Hippocampal Neurogenesis
Single-cell RNA-seq · mouse · 173 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
- 173 samples: 141 × C vs 26 × N vs 2 × C27Groups 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 GSE71485_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 PRJNA291386 and SRA study SRP061746. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 169 samples.
How we read this: 3 replicated groups read from 173 sample titles; they account for 169 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.
- GSM1835360 C68 C
- GSM1835361 C102 C
- GSM1835362 C91 C
- GSM1835363 C95 C
- GSM1835364 C82 C
- GSM1835365 C136 C
- GSM1835366 C130 C
- GSM1835367 C134 C
- GSM1835368 C141 C
- GSM1835369 C97 C
- GSM1835370 C46 C
- GSM1835371 C41 C
- GSM1835372 C94 C
- GSM1835373 C55 C
- GSM1835374 C51 C
- GSM1835375 C116 C
- GSM1835376 C96 C
- GSM1835377 C93 C
- GSM1835378 C90 C
- GSM1835379 C119 C
- GSM1835380 C114 C
- GSM1835381 C58 C
- GSM1835382 C23 C
- GSM1835383 C50 C
- GSM1835384 C65 C
- GSM1835385 N21 N
- GSM1835386 R2
- GSM1835387 C121 C
- GSM1835388 C87 C
- GSM1835389 C62 C
- GSM1835390 C106 C
- GSM1835391 C135 C
- GSM1835392 C109 C
- GSM1835393 C122 C
- GSM1835394 C107 C
- GSM1835395 C48 C
- GSM1835396 C78 C
- GSM1835397 C105 C
- GSM1835398 C115 C
- GSM1835399 C73 C
+ 133 more — browse all 173 samples with per-sample file links →
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares single-cell, rna-seq
- GSE166225 Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates [RNA-seq] 288 samples shares single-cell, rna-seq
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares single-cell, rna-seq
- GSE245838 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse scRNA-seq] 21 samples shares underlying, rna-seq
- GSE262879 Single-cell RNA-sequencing of murine pancreatic tumors derived from the orthotopic transplantation of Smad4 wild-type (WT) or Smad4 knockout (KO) pancreatic ductal adenocarcinoma (PDAC) KPC organoids in nu/nu mice. 18 samples shares single-cell, rna-seq
- GSE227108 Integrated single-cell analysis defines the epigenetic basis of castration-resistant prostate luminal cells (scRNA-seq) 18 samples shares single-cell, rna-seq
- GSE264278 TIme-cource single-cell RNA-seq analysis of bleomycin and LPS-induced lung injury and fibrosis 18 samples shares single-cell, rna-seq
- GSE297298 Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer 18 samples shares single-cell, rna-seq
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.