Investigating Cycle-to-Cycle Variation and the Impact of Endometrial Injury through Differential Gene Expression Analysis
RNA-seq (gene expression) · human · 40 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
- 40 samples: 19 conditions, mostly in duplicateGroups 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
- Investigating cycle-to-cycle variation and the impact of endometrial injury through differential gene expression analysisHuman reproduction (Oxford, England) · 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 GSE303049_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 PRJNA1293415 and SRA study SRP601842. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 38 samples.
How we read this: 19 replicated groups read from 40 sample titles; they account for 38 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.
- GSM9116592 A1 A
- GSM9116593 A2 A
- GSM9116594 B1 B
- GSM9116595 B2 B
- GSM9116596 C1 C
- GSM9116597 C2 C
- GSM9116598 D1 D
- GSM9116599 D2 D
- GSM9116600 E1 E
- GSM9116601 E2 E
- GSM9116602 F1 F
- GSM9116603 F2 F
- GSM9116604 G1 G
- GSM9116605 G2 G
- GSM9116606 H1 H
- GSM9116607 H2 H
- GSM9116608 I1 I
- GSM9116609 I2 I
- GSM9116610 J1 J
- GSM9116611 J2 J
- GSM9116612 K1 K
- GSM9116613 K2 K
- GSM9116614 L1 L
- GSM9116615 L2 L
- GSM9116616 M1 M
- GSM9116617 M2 M
- GSM9116618 N1 N
- GSM9116619 N2 N
- GSM9116620 O1 O
- GSM9116621 O2 O
- GSM9116622 P1 P
- GSM9116623 P2 P
- GSM9116624 Q1 Q
- GSM9116625 Q2 Q
- GSM9116626 R1
- GSM9116627 R2
- GSM9116628 S1 S
- GSM9116629 S2 S
- GSM9116630 T1 T
- GSM9116631 T2 T
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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.