Inflammatory proteomics of uterine fluid is potentially a non-invasive predictor for endometrial receptivity: a pilot study
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 12 samples
- 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
- Inflammatory proteomics of uterine fluid is potentially a non-invasive predictor for endometrial receptivity: a pilot studyJournal of assisted reproduction and genetics · 2026
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 GSE283724_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 PRJNA1195094 and SRA study SRP549829. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run P01 … P12 and carry no group information.
- GSM8671050 P01
- GSM8671051 P02
- GSM8671052 P03
- GSM8671053 P04
- GSM8671054 P05
- GSM8671055 P06
- GSM8671056 P07
- GSM8671057 P08
- GSM8671058 P09
- GSM8671059 P10
- GSM8671060 P11
- GSM8671061 P12
- GSE279514 Unveiling the Molecular Mechanisms of HPL in Enhancing Endometrial Receptivity 135 samples shares endometrial, receptivity
- GSE305811 Immune and Transcriptional Landscape of Endometrial Receptivity at P+5 Phase: A Triad Analysis of EIN, RIF, and Control Endometrial Profiles 92 samples shares endometrial, receptivity
- GSE287072 Alternative splicing and differential gene expression during changes in endometrial receptivity in patients with recurrent implantation failure 73 samples shares endometrial, receptivity
- GSE298658 Transcriptomic profiling of endometrial and dermal mesenchymal stromal cells before and after treatment with menstrual fluid 12 samples shares endometrial, fluid
- GSE307510 Microengineered Patient-derived Endometrium-on-a-Chip for the Evaluation of Endometrial Receptivity and Personalized Translational Medicine 10 samples shares endometrial, receptivity
- GSE217352 A Blood-based Transcriptomic Signature Stratifies Severe Crohn's disease and Defines Potentially Targetable Therapeutic Pathways 265 samples shares potentially
- GSE283409 Stratifying IVF population endometria using a prognosis gradient independent of endometrial timing 195 samples shares endometrial
- GSE307568 Patient-derived organoid – immune cell co-culture platform for therapeutics discovery in high-grade endometrial cancer 189 samples shares endometrial
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.