Endometrial gene expression differences in women with coronavirus disease 2019
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 18 samples: 9 × COV vs 9 × CGroups 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
- Endometrial gene expression differences in women with coronavirus disease 2019Fertility and sterility · 2022
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 GSE202553_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 PRJNA836552 and SRA study SRP374344. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 2 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.
- GSM6124298 COV1 COV
- GSM6124299 COV8 COV
- GSM6124300 COV3 COV
- GSM6124301 COV13 COV
- GSM6124302 COV6 COV
- GSM6124303 COV7 COV
- GSM6124304 COV11 COV
- GSM6124305 COV14 COV
- GSM6124306 COV15 COV
- GSM6124307 C11 C
- GSM6124308 C12 C
- GSM6124309 C3 C
- GSM6124310 C14 C
- GSM6124311 C5 C
- GSM6124312 C7 C
- GSM6124313 C8 C
- GSM6124314 C9 C
- GSM6124315 C10 C
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- GSE306395 A very low carbohydrate, ketogenic diet suppresses tumor insulin signaling and enhances immune infiltration in women with endometrial cancer: results from a randomized feasibility study. 16 samples shares endometrial, women
- GSE91077 Global transcriptional profiling confirmed failed decidualization of human Endometrial Stromal Cells (hESCs) obtained from non-pregnant women with a previous pregnancy complicated by severe preeclampsia (sPE). 20 samples shares endometrial, women
- GSE268903 Neoadjuvant immune checkpoint blockade in women with mismatch repair deficient endometrial cancer: a phase I study 10 samples shares endometrial, women
- GSE251756 Cell and state-specific eQTL analysis in human endometrial mesenchymal cells uncovers candidate susceptibility genes for reproductive diseases and traits 59 samples shares endometrial
- GSE293398 Sex-related differences in gene expression in early-stage bladder cancer revealed by whole-transcriptome sequencing 186 samples shares differences
- GSE287072 Alternative splicing and differential gene expression during changes in endometrial receptivity in patients with recurrent implantation failure 73 samples shares endometrial
- GSE303049 Investigating Cycle-to-Cycle Variation and the Impact of Endometrial Injury through Differential Gene Expression Analysis 40 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.