miR-375 Regulates Intestinal Crypt Cell Landscape, Proliferation, and Regenerative Capacity
Single-cell RNA-seq · mouse · 54 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
- Mus musculus (mouse)
- Samples
- 54 samples: 15 conditions, mostly with about 4 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.
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 GSE151088_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 PRJNA634565 and SRA study SRP263026. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 2 samples read as cases, 2 as controls.
How we read this: 15 replicated groups read from 54 sample titles; they account for 51 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.
- GSM4566149 Wildtype sample, set1 Wildtype sample,
- GSM4566150 Wildtype sample, set2 Wildtype sample,
- GSM4566151 375-KO sample, set1 375-KO sample,
- GSM4566152 375-KO sample, set2 375-KO sample,
- GSM4566153 CD24 Low sample 1 CD24 Low sample
- GSM4566154 CD24 Low sample 2 CD24 Low sample
- GSM4566155 CD24 Low sample 3 CD24 Low sample
- GSM4566156 CD24 Low sample 4 CD24 Low sample
- GSM4566157 Lgr5-High sample 1 Lgr5-High sample
- GSM4566158 Lgr5-High sample 2 Lgr5-High sample
- GSM4566159 Sox9-eGFP low sample 1 Sox9-eGFP low sample
- GSM4566160 Sox9-eGFP low sample 2 Sox9-eGFP low sample
- GSM4566161 Sox9-eGFP low sample 3 Sox9-eGFP low sample
- GSM4566162 Sox9-eGFP low sample 4 Sox9-eGFP low sample
- GSM4566163 Conventionalized sample 1 Conventionalized sample
- GSM4566164 Conventionalized sample 2 Conventionalized sample
- GSM4566165 Germ-free sample 1 Germ-free sample
- GSM4566166 Germ-free sample 2 Germ-free sample
- GSM4566167 Germ-free sample 3 Germ-free sample
- GSM4566168 Germ-free sample 4 Germ-free sample
- GSM4566169 Conventionalized sample 3 Conventionalized sample
- GSM4566170 Conventionalized sample 4 Conventionalized sample
- GSM4566171 Sox9-eGFP negative sample 1 Sox9-eGFP negative samp…
- GSM4566172 Sox9-eGFP negative sample 2 Sox9-eGFP negative samp…
- GSM4566173 Sox9-eGFP negative sample 3 Sox9-eGFP negative samp…
- GSM4566174 Sox9-eGFP negative sample 4 Sox9-eGFP negative samp…
- GSM4566175 crypt sample 1 crypt sample
- GSM4566176 crypt sample 2 crypt sample
- GSM4566177 crypt sample 3 crypt sample
- GSM4566178 crypt sample 4 crypt sample
- GSM4566179 villi sample 1 villi sample
- GSM4566180 villi sample 2 villi sample
- GSM4566181 villi sample 3 villi sample
- GSM4566182 villi sample 4 villi sample
- GSM4566183 APC mutant sample 1 APC mutant sample
- GSM4566184 Control sample 1 for APC mutant
- GSM4566185 APC mutant sample 2 APC mutant sample
- GSM4566186 Control sample 2 for APC mutant
- GSM4566187 Sox9-eGFP low RNA-seq sample 1 Sox9-eGFP low RNA-seq s…
- GSM4566188 Sox9-eGFP low RNA-seq high fat diet sample 1 Sox9-eGFP low RNA-seq h…
+ 14 more — browse all 54 samples with per-sample file links →
- GSE295472 NOD2 drives regenerative fetal-like reprogramming in the intestinal epithelium 15 samples shares regenerative, intestinal
- GSE298394 Gut resident T-bet expressing Tr1 cells driven by dietary signals dominate the small intestinal immune landscape IV 28 samples shares intestinal
- GSE298371 Gut resident T-bet expressing Tr1 cells driven by dietary signals dominate the small intestinal immune landscape I 24 samples shares intestinal
- GSE296763 Mitochondrial respiration is necessary for CD8 T cell proliferation and cell fate 99 samples shares proliferation
- GSE294512 eIF4G2-mediated Translation Initiation of Histone Modifiers is Essential for Intestinal Stem Cell Maintenance and Differentiation [RNA-seq] 92 samples shares intestinal
- GSE285141 Histone H3.3 ensures cell proliferation and genomic stability during myeloid cell development [RNA-seq] 81 samples shares proliferation
- GSE279388 Inactivation of Atp7b copper transporter in the intestinal epithelial cells is associated with altered lipid processing and cell growth machinery that are independent from hepatic copper accumulation and liver histology severity 76 samples shares intestinal
- GSE293228 Compartment size and proliferation shape the murine T cell receptor repertoire in splenic T- and B cell zones during an immune response 72 samples shares proliferation
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.