Whole Cancer Cell Vaccine Protects Ovarian Functions in Tumor-bearing Mice through Downregulating CXCL10
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × ovary ,Control vs 3 × ovary,MCA205 vs 3 × ovary,MCA205_PD1 vs 3 × ovary,MCA205_VACGroups 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 GSE248829_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 PRJNA1046078 and SRA study SRP475507. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7920770 ovary ,Control _1 ovary ,Control
- GSM7920771 ovary ,Control _2 ovary ,Control
- GSM7920772 ovary ,Control _3 ovary ,Control
- GSM7920773 ovary,MCA205_1 ovary,MCA205
- GSM7920774 ovary,MCA205_2 ovary,MCA205
- GSM7920775 ovary,MCA205_3 ovary,MCA205
- GSM7920776 ovary,MCA205_PD1_1 ovary,MCA205_PD1
- GSM7920777 ovary,MCA205_PD1_2 ovary,MCA205_PD1
- GSM7920778 ovary,MCA205_PD1_3 ovary,MCA205_PD1
- GSM7920779 ovary,MCA205_VAC_1 ovary,MCA205_VAC
- GSM7920780 ovary,MCA205_VAC_2 ovary,MCA205_VAC
- GSM7920781 ovary,MCA205_VAC_3 ovary,MCA205_VAC
- GSE238261 Akr1b7 functions as a master regulator in ovarian aging 41 samples shares functions, ovarian
- GSE238259 Akr1b7 functions as a master regulator in ovarian aging [RNA-seq] 17 samples shares functions, ovarian
- GSE246193 Genetic and pharmaceutical targeting of Suv39h1 ameliorates renal fibrosis by unlocking CXCL10 transcription 22 samples shares cxcl10
- GSE254538 CXCL10 and IFN-γ Mediate Myocarditis Post-COVID19 mRNA Vaccination [mouse] 18 samples shares cxcl10
- GSE304626 The CXCL10/CXCR3 axis is essential for sustaining immunological dormancy in triple-negative breast cancer 12 samples shares cxcl10
- GSE301139 Regorafenib combined with PD1 blockade increases CD8 T-cell infiltration by inducing CXCL10 expression in hepatocellular carcinoma 12 samples shares cxcl10
- GSE271546 The expression order determines the pioneer functions of Ngn3 and NeuroD1 in pancreatic endocrine differentiation -2 447 samples shares functions
- GSE228457 IL-7 mediated immunoregulatory feedback loop promotes dampening of immune effector functions by hypoinflammatory monocytes. 305 samples shares functions
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.