Transcriptomic changes in paired eutopic and ectopic endometrium of ovarian endometriosis
RNA-seq (gene expression) · human · 10 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
- 10 samples: 5 × EM vs 5 × OMAGroups 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 GSE282532_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 PRJNA1189111 and SRA study SRP547389. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8645614 EM_1 EM
- GSM8645615 OMA_1 OMA
- GSM8645616 EM_2 EM
- GSM8645617 OMA_2 OMA
- GSM8645618 EM_3 EM
- GSM8645619 OMA_3 OMA
- GSM8645620 EM_4 EM
- GSM8645621 OMA_4 OMA
- GSM8645622 EM_5 EM
- GSM8645623 OMA_5 OMA
- GSE276193 Integrative Single-Cell Analysis Reveals Iron Overload-Induced Senescence and Metabolic Reprogramming in Ovarian Endometriosis-Associated Infertility 18 samples shares endometriosis, ovarian
- GSE255690 Spatiotemporal transcriptomic changes of human ovarian aging and the key regulatory role of FOXP1 24 samples shares changes, ovarian
- GSE192636 mRNA, lncRNA and circular RNA expression profiles and ceRNA network construction of granulosa cells in ovarian endometriosis 10 samples shares endometriosis, ovarian
- GSE86469 Single cell transcriptomics defines human islet cell signatures and reveals cell-type-specific expression changes in type 2 diabetes [single cell] 638 samples shares changes
- GSE268599 Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease 146 samples shares changes
- GSE316750 Individualized transcriptomic changes in malignant and benign prostate identify markers of disease recurrence 82 samples shares changes
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares changes
- GSE250130 Time-series single-cell transcriptomic profiling of luteal-phase endometrium uncovers dynamic characteristics and its dysregulation in recurrent implantation failures 28 samples shares endometrium
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.