Transcriptome profiling identified dysregulated signaling related to adipogenesis, metabolism, and inflammation in polycystic ovary syndrome patients
RNA-seq (gene expression) · human · 14 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
- Homo sapiens (human)
- Samples
- 14 samples: 4 × C vs 4 × PGroups 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
- Transcriptome Analysis of Mesenchymal Progenitor Cells Revealed Molecular Insights into Metabolic Dysfunction and Inflammation in Polycystic Ovary SyndromeInternational journal of molecular sciences · 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 GSE267287_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 PRJNA1110998 and SRA study SRP507283. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 2 replicated groups read from 14 sample titles; they account for 8 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.
- GSM8263508 C25 C
- GSM8263509 C25 w/ testosterone
- GSM8263510 C24 C
- GSM8263511 C24 w/ testosterone
- GSM8263512 C31 C
- GSM8263513 C31 w/ testosterone
- GSM8263514 C32 C
- GSM8263515 P2 P
- GSM8263516 P2 w/ testosterone
- GSM8263517 P5 P
- GSM8263518 P5 w/ testosterone
- GSM8263519 P11 P
- GSM8263520 P12 P
- GSM8263521 P12 w/ testosterone
- GSE249470 Immune dysfunction mediated by the competitive endogenous RNA network in fetal side placental tissue of polycystic ovary syndrome 20 samples shares polycystic, ovary
- GSE293353 Integrative metaprogram analysis reveals transcriptional dysregulation of oxidative stress response in granulosa cells from polycystic ovary syndrome 18 samples shares polycystic, ovary
- GSE338646 RNA-sequencing analysis of placental tissues from women with and without polycystic ovary syndrome 14 samples shares polycystic, ovary
- GSE242210 SIVA mutation, a candidate metastasis gene identified from clonally related bilateral breast cancers, promotes breast cancer cell aggressiveness in vitro and in vivo 12 samples shares identified, related
- GSE330821 THBS1 Induces Dysfunction of Ovarian Granulosa Cells in Patients with Polycystic Ovary Syndrome by Activating the TGF-β/Smad Pathway 6 samples shares polycystic, ovary
- GSE333241 Single-Cell RNA Sequencing of the Human Endometrium in Healthy Controls and Patients with Polycystic Ovary Syndrome 2 samples shares polycystic, ovary
- GSE313660 Single-cell analysis of follicular fluid reveals dysregulation of ovulatory immune function in Polycystic Ovary Syndrome patients undergoing ovarian stimulation 16 samples shares polycystic, ovary
- GSE106724 Profiles for long noncoding RNAs in ovarian granulosa cells from polycystic ovary syndrome patients with different serum concentrations of androgen 12 samples shares polycystic, ovary
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.