Transcriptomic Profiling Reveals Ageing-Related Molecular Signatures in Women with Diminished Ovarian Reserve
RNA-seq (gene expression) · human · 20 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
- 20 samples: 10 × NO vs 10 × DOGroups 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 GSE315266_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 PRJNA1395527 and SRA study SRP658861. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 2 replicated groups read from 20 sample titles; they account for 20 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.
- GSM9424066 NOR01 NO
- GSM9424067 NOR02 NO
- GSM9424068 NOR03 NO
- GSM9424069 NOR04 NO
- GSM9424070 NOR05 NO
- GSM9424071 NOR06 NO
- GSM9424072 NOR07 NO
- GSM9424073 NOR08 NO
- GSM9424074 NOR09 NO
- GSM9424075 NOR10 NO
- GSM9424076 DOR01 DO
- GSM9424077 DOR02 DO
- GSM9424078 DOR03 DO
- GSM9424079 DOR04 DO
- GSM9424080 DOR05 DO
- GSM9424081 DOR06 DO
- GSM9424082 DOR07 DO
- GSM9424083 DOR08 DO
- GSM9424084 DOR09 DO
- GSM9424085 DOR10 DO
- GSE286918 Metabolic reprogramming and ferroptosis occurring in granulosa cells from patients with diminished ovarian reserve 116 samples shares diminished, ovarian, reserve
- GSE193136 Long noncoding RNAs expression profiles in granulosa of woman with diminished ovarian reserve based on high-throughput sequencing 12 samples shares diminished, ovarian, reserve
- GSE273995 Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer cell lines and isogenic models 36 samples shares signatures, ovarian
- GSE274006 Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer cell lines and isogenic models [isogenic models] 33 samples shares signatures, ovarian
- GSE286042 Transcriptomic and Proteomic Signatures Following AS03-adjuvanted Influenza A/H7N9 Vaccine 1232 samples shares signatures
- GSE315442 Transcriptomic profiling reveals distinct molecular signatures among lesion types in hidradenitis suppurativa 48 samples shares signatures
- GSE291471 Integrative blood profiling uncovers inflammatory network signatures in high-altitude pulmonary edema 83 samples shares signatures
- GSE243625 Inflammatory transcriptomic signatures and cell type compositions in inflamed and non-inflamed colonic mucosa of ulcerative colitis 45 samples shares signatures
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.