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In situ spatial transcriptomic analysis of human skeletal muscle using the Xenium platform
ID Umek, Nejc (Author), ID Meznarič, Marija (Author), ID Šink, Žiga (Author), ID Blagotinšek Cokan, Kaja (Author), ID Prosenc Zmrzljak, Uršula (Author), ID Horvat, Simon (Author)

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Abstract
Traditional transcriptomic studies often overlook the complex heterogeneity of skeletal muscle, as they typically isolate RNA from mixed muscle fibre and cell populations, resulting in an averaged transcriptomic profile that obscures fibre type-specific differences. This study assessed the potential of the recently developed Xenium platform for high-resolution spatial transcriptomic analysis of human skeletal muscle histological sections. Human vastus lateralis muscle samples from two individuals were analysed using the Xenium platform and Human Multi-Tissue and Cancer Panel targeting 377 genes complemented by staining of successive sections for Myosin Heavy Chain isoforms to differentiate between type 1 and type 2 muscle fibres. Manual segmentation of muscle fibres allowed accurate comparisons of transcript densities across fibre types and subcellular regions, overcoming limitations in the platform’s automated segmentation. The analysis revealed higher transcript density in type 1 fibres, particularly in nuclear and perinuclear areas, and identified 191 out of 377 genes with differential expression between muscle fibres and perimysium. Genes such as PROX1, S100A1, LGR5, ACTA2, and LPL exhibited higher expression in type 1 fibres, whereas PEBP4, CAVIN1, GATM, and PVALB in type 2 fibres. We demonstrated that the Xenium platform is capable of high-resolution spatial in situ transcriptomic analysis of skeletal muscle histological sections. This study demonstrates that, with manual segmentation, the Xenium platform effectively performs fibre type-specific transcriptomic analysis, providing new insights into skeletal muscle biology.

Language:English
Keywords:spatial transcriptomic, skeletal muscle, xenium platform, muscle fibre, segmentation
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:MF - Faculty of Medicine
BF - Biotechnical Faculty
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:Str. 291-302
Numbering:Vol. 399, iss. 3
PID:20.500.12556/RUL-168472 This link opens in a new window
UDC:575
ISSN on article:0302-766X
DOI:10.1007/s00441-024-03945-z This link opens in a new window
COBISS.SI-ID:221773059 This link opens in a new window
Publication date in RUL:15.04.2025
Views:585
Downloads:145
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Record is a part of a journal

Title:Cell and tissue research
Shortened title:Cell Tissue Res
Publisher:Springer New York, Springer
ISSN:0302-766X
COBISS.SI-ID:17175 This link opens in a new window

Secondary language

Language:Slovenian
Keywords:genetika, skeletne mišice, transkriptomika

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P3-0043
Name:Molekularni mehanizmi razvoja in delovanja skeletne mišice

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P4-0220
Name:Primerjalna genomika in genomska biodiverziteta

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