GEO series

The Contribution of Oestrogen in Muscle Mass, Function, and Molecular Signalling in Females Aged 18-80

GSE303107 Homo sapiens (human) RNA-seq (gene expression) 58 samples Submitted 2025/07/23 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 58 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: 58 samples: 58 samples, each with a distinct title — no replicated groupsGroups 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.

Summary (written by the submitters)

Whether, and how, the menopausal transition mediates the skeletal muscle response to ageing in females remains to be elucidated. We examined a tightly controlled, cross-sectional cohort of 96 females between 18-80 years to map the trajectory of muscle ageing and determine its relationship with female sex hormones. Across every decade of age, we quantified body composition with dual-energy x-ray absorptiometry, muscle morphology with peripheral quantitative computed tomography, muscle function with leg press and neuromuscular assessment.

Read the full summary ↓

Vastus lateralis morphology and gene expression was assessed with immunohistochemical staining and RNA sequencing, respectively, and circulating sex hormone concentrations were measured with liquid chromatography mass spectrometry. After adjusting for physical activity and protein intake, age was negatively associated with muscle mass, strength, and overall and type I muscle fibre size, and positively associated with hybrid type I/II fibre prevalence. We found 37 unique patterns of gene expression across individual decades of age. Immune signalling, cellular adhesion, and extracellular matrix organisation pathways were most up-regulated with age, while mitochondrial function pathways were the most down-regulated. Circulating oestradiol and progesterone, but not testosterone, concentrations across the lifespan were positively associated with lean mass and neuromuscular function, and negatively associated with hybrid muscle fibres. Oestrogen receptor binding sites were significantly enriched in genes that are upregulated in pre- versus post-menopausal muscle, suggesting a reduction in the translation of oestrogen target genes after menopause. The effects of sex hormone fluctuations across the female lifespan should therefore be considered in the development of therapies to combat age-related muscle wasting.

This dataset

Open GSE303107 in finder → Find more human RNA-seq datasets →

Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE303107_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1294182 and SRA study SRP602591. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

58 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 58 sample titles: 58 distinct titles with little repetition. 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.

Samples in this study

GSM9117981 FL-1, Muscle, Female, Age-33
GSM9117982 FL-11, Muscle, Female, Age-61
GSM9117983 FL-13, Muscle, Female, Age-44
GSM9117984 FL-14, Muscle, Female, Age-40
GSM9117985 FL-15, Muscle, Female, Age-31
GSM9117986 FL-17, Muscle, Female, Age-26
GSM9117987 FL-18, Muscle, Female, Age-59
GSM9117988 FL-20, Muscle, Female, Age-30
GSM9117989 FL-21, Muscle, Female, Age-67
GSM9117990 FL-24, Muscle, Female, Age-21
GSM9117991 FL-27, Muscle, Female, Age-28
GSM9117992 FL-28, Muscle, Female, Age-28
GSM9117993 FL-29, Muscle, Female, Age-21
GSM9117994 FL-30, Muscle, Female, Age-64
GSM9117995 FL-32, Muscle, Female, Age-68
GSM9117996 FL-33, Muscle, Female, Age-23
GSM9117997 FL-34, Muscle, Female, Age-25
GSM9117998 FL-35, Muscle, Female, Age-19
GSM9117999 FL-38, Muscle, Female, Age-35
GSM9118000 FL-39, Muscle, Female, Age-30
GSM9118001 FL-40, Muscle, Female, Age-62
GSM9118002 FL-41, Muscle, Female, Age-20
GSM9118003 FL-42, Muscle, Female, Age-29
GSM9118004 FL-43, Muscle, Female, Age-52
GSM9118005 FL-44, Muscle, Female, Age-28
GSM9118006 FL-45, Muscle, Female, Age-19
GSM9118007 FL-46, Muscle, Female, Age-27
GSM9118008 FL-47, Muscle, Female, Age-37
GSM9118009 FL-49, Muscle, Female, Age-47
GSM9118010 FL-5, Muscle, Female, Age-61
GSM9118011 FL-50, Muscle, Female, Age-47
GSM9118012 FL-52, Muscle, Female, Age-36
GSM9118013 FL-53, Muscle, Female, Age-58
GSM9118014 FL-55, Muscle, Female, Age-53
GSM9118015 FL-56, Muscle, Female, Age-47
GSM9118016 FL-58, Muscle, Female, Age-68
GSM9118017 FL-61, Muscle, Female, Age-24
GSM9118018 FL-62, Muscle, Female, Age-59
GSM9118019 FL-63, Muscle, Female, Age-58
GSM9118020 FL-66, Muscle, Female, Age-19

+ 18 more — browse all 58 samples with per-sample file links →

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Search all human RNA-seq datasets in GEO →

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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.