Nano-encapsulated senolytics cocktail ameliorates germ cell senescence in female mice
RNA-seq (gene expression) · mouse · 18 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 18 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
- Nano-encapsulated senolytic cocktail attenuates germ cell senescence in female miceCellular and molecular life sciences : CMLS · 2025
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 GSE264327_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1101973 and SRA study SRP502619. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 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.
- GSM8216140 RNAseq_Ctrl_1 RNAseq_Ctrl
- GSM8216141 RNAseq_Ctrl_2 RNAseq_Ctrl
- GSM8216142 RNAseq_Ctrl_3 RNAseq_Ctrl
- GSM8216143 RNAseq_Cy_1 RNAseq_Cy
- GSM8216144 RNAseq_Cy_2 RNAseq_Cy
- GSM8216145 RNAseq_Cy_3 RNAseq_Cy
- GSM8216146 RNAseq_DQ_1 RNAseq_DQ
- GSM8216147 RNAseq_DQ_2 RNAseq_DQ
- GSM8216148 RNAseq_DQ_3 RNAseq_DQ
- GSM8535325 RNAseq_oocyte_Ctrl_1 RNAseq_oocyte_Ctrl
- GSM8535326 RNAseq_oocyte_Ctrl_2 RNAseq_oocyte_Ctrl
- GSM8535327 RNAseq_oocyte_Ctrl_3 RNAseq_oocyte_Ctrl
- GSM8535328 RNAseq_oocyte_Cy_1 RNAseq_oocyte_Cy
- GSM8535329 RNAseq_oocyte_Cy_2 RNAseq_oocyte_Cy
- GSM8535330 RNAseq_oocyte_Cy_3 RNAseq_oocyte_Cy
- GSM8535331 RNAseq_oocyte_DQ_1 RNAseq_oocyte_DQ
- GSM8535332 RNAseq_oocyte_DQ_2 RNAseq_oocyte_DQ
- GSM8535333 RNAseq_oocyte_DQ_3 RNAseq_oocyte_DQ
- GSE294362 Aged bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes 80 samples shares senescence
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares senescence
- GSE301216 Distinct lung functional, histological and cell senescence signatures in the single vs repetitive bleomycin mouse model of idiopathic pulmonary fibrosis 53 samples shares senescence
- GSE278372 Identification of lipid senolytics targeting senescent cells through ferroptosis induction 45 samples shares senolytics
- GSE302792 SenCat: Cataloging human cell senescence through multiomic profiling of multiple senescent primary cell types 33 samples shares senescence
- GSE271670 Identifying specific functional roles for senescence across cell types 32 samples shares senescence
- GSE267450 Loss of Nuclear Receptor Nr4a3 Alleviates Cellular Senescence to Promote Adult Direct Cardiac Reprogramming (RNA-Seq) 30 samples shares senescence
- GSE277063 Cell-autonomous IL6ST activation suppresses prostate cancer development via STAT3/ARF/p53-driven senescence and confers an immune-active tumor microenvironment 23 samples shares senescence
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.