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Omics · study · 2026

Single-Nucleus RNA Sequencing Reveals Molecular Determinants of Functional and Physiological Differences Between Extraocular and Quadriceps Muscles in Macaca fascicularis

Listed in NCBI GEO

Purpose: Extraocular muscles (EOMs) display unique physiological and pathological features distinct from limb skeletal muscles.

Description

To elucidate the molecular and cellular basis of these differences, we performed a comparative single-nucleus transcriptomic analysis of macaque EOM and quadriceps femoris muscle (QFM).

Methods

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EOM and QFM tissues from Macaca fascicularis were subjected to single-nucleus RNA sequencing (snRNA-seq). Unsupervised clustering, cell-type annotation, differential gene expression, pathway enrichment, and intercellular communication analyses were performed to compare cellular composition, gene expression, and signaling patterns between the two muscles. Results: We constructed a high-resolution single-nucleus transcriptomic atlas of EOM, identifying major cell types including multiple myofiber subtypes, fibro-adipogenic progenitors (FAPs), Schwann cells, astrocytes, and immune cells.

Compared to QFM, EOM exhibited a higher proportion of fast-twitch fibers (2A/2X), FAPs, and neural-associated cells. EOM myonuclei showed enriched expression of genes related to synaptic transmission and axon development, while QFM fibers expressed genes involved in oxidative phosphorylation and glycolysis. EOM uniquely expressed diverse myosin isoforms, including MYH13 and MYH4, supporting its specialized contractile properties.

Disease-associated gene profiling revealed that EOM had lower expression of limb muscle disease genes but was susceptible to mitochondrial dysfunction. Cell-cell communication analysis showed that EOM relied more on neuromuscular and regenerative signaling (e.g., WNT, nWNT), while QFM favored immune and metabolic pathways. Conclusions: Our study reveals the unique cellular composition, gene expression patterns, and intercellular signaling features of EOM compared to QFM.

These findings provide a comprehensive molecular framework for understanding the specialized function and disease susceptibility of EOM.

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From keywords
Life Sciences
Inferred from text
Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE29810214 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title