Pregnancy Restricts an Age-Driven Accumulation of Hybrid Cells in the Mammary Gland [bulk RNA-Seq]
Single-cell RNA-seq · mouse · 18 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
- 18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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
- Pregnancy Reduces Il33+ Hybrid Progenitor Accumulation in the Aged Mammary GlandbioRxiv : the preprint server for biology · 2024
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 GSE272933_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 PRJNA1139321 and SRA study SRP521808. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 18 sample titles: 18 distinct titles with little repetition. 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.
- GSM8415306 M3_23_B
- GSM8415307 NP_23_B
- GSM8415308 P_23_B
- GSM8415309 M3_24_B
- GSM8415310 NP_24_B
- GSM8415311 P_24_B
- GSM8415312 M3_25_B
- GSM8415313 NP_25_B
- GSM8415314 P_25_B
- GSM8415315 M3_23_L
- GSM8415316 NP_23_L
- GSM8415317 P_23_L
- GSM8415318 M3_24_L
- GSM8415319 NP_24_L
- GSM8415320 P_24_L
- GSM8415321 M3_25_L
- GSM8415322 NP_25_L
- GSM8415323 P_25_L
- GSE299513 Tissue tension fosters macrophage-driven lipid peroxidation-induced DNA damage [RNA-seq] 43 samples shares age-driven, rna-seq
- GSE306262 Astrocyte glucocorticoid receptor signaling restricts neuronal plasticity [RNA-seq] 40 samples shares restricts, rna-seq
- GSE289996 Anti-Müllerian Hormone Reduces Uterine DNA Damage and Pregnancy Complications in Doxorubicin-Treated Mice [RNA-seq] 40 samples shares pregnancy, rna-seq
- GSE240912 Maternal IL-10 restricts fetal emergency myelopoiesis [Bulk RNA-seq] 36 samples shares restricts, rna-seq
- GSE311488 Chemotherapeutic Induction of Single-Stranded DNA Accumulation Sensitizes Triple-Negative Breast Cancer to Immunotherapy [scRNA-seq] 32 samples shares accumulation, rna-seq
- GSE297456 Threonine Phosphorylation of STAT1 Safeguards Gut Epithelial Integrity and Restricts Interferon-mediated Cytotoxicity [RNA-seq] 16 samples shares restricts, rna-seq
- GSE264673 EPOP Restricts PRC2.1 Targeting to Chromatin by Directly Modulating Enzyme Complex Dimerization (RNA-Seq) 12 samples shares restricts, rna-seq
- GSE246123 A noncanonical cytoplasmic role for BUB1 in restraining DNA damage-induced dsRNA accumulation and viral mimicry within stress granules [RNA-seq] 12 samples shares accumulation, 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.