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Spatial gene expression in the adult rat patellar tendon.
Steffen, Danielle; Mienaltowski, Michael; Baar, Keith.
Afiliación
  • Steffen D; Department of Neurobiology, Physiology & Behavior, University of California Davis, Davis, CA, United States.
  • Mienaltowski M; Department of Animal Science, University of California Davis, Davis, CA, United States.
  • Baar K; Department of Neurobiology, Physiology & Behavior, University of California Davis, Davis, CA, United States.
Matrix Biol Plus ; 19-20: 100138, 2023 Dec.
Article en En | MEDLINE | ID: mdl-38124714
ABSTRACT
Tendons are dense connective tissues with relatively few cells which makes studying the molecular profile of the tissue challenging. There is not a consensus on the spatial location of various cell types within a tendon, nor the accompanying transcriptional profile. In the present study, we used two male rat patellar tendon samples for sequencing-based spatial transcriptomics to determine the gene expression profile. We integrated our data with a mouse Achilles single cell dataset to predict the cell type composition of the patellar tendon as a function of location within the tissue. The spatial location of the predicated cell types suggested that there were two populations of tendon fibroblasts, one located in the tendon midsubstance, while the other localized with red blood cells, pericytes, and immune cells to the tendon peripheral connective tissue. Of the highest expressed spatially variable genes, there were multiple genes with known function in tendon Col1a1, Col1a2, Dcn, Fmod, Sparc, and Comp. Further, a novel spatially regulated gene (AABR07000398.1) with no known function was identified. The spatial gene expression of tendon associated genes (Scx, Thbs4, Tnmd, Can, Bgn, Lum, Adamts2, Lox, Ppib, Col2a1, Col3a1, Col6a2) was also visualized. Both patellar tendon samples had similar expression patterns for all these genes. This dataset provides new spatial insights into gene expression in a healthy tendon.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Matrix Biol Plus Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Matrix Biol Plus Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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