Transcriptomics

Dataset Information

0

Expression data of CD107aLow and CD107aHigh cells isolated from human adipose tissue


ABSTRACT: The tunica adventitia of vessels within adipose tissue (AT) represents a heterogenous microanatomical niche for multipotent mesenchymal precursor cells. To investigate this heterogeneity, cell surface antibody array among CD34+ human adventicytes identified 13 novel antigens enriched within perivascular mesenchyme, including the endolysomal associated protein CD107a (LAMP1). Membranous CD107a can be used to divide perivascular / adventitial precursor cells into functional relevant subsets. CD107alow cells from human AT demonstrated high colony forming efficiency, osteoprogenitor cell frequency, and osteogenic potential. Conversely, CD107ahigh cells demonstrated heightened adipoprogenitor cell frequency and adipogenic potential. Knockdown experiments did not identity a functional role for CD107a in osteo/adipogenic differentiation. Instead, CD107a protein trafficking to the cell surface was associated with exocytosis during early adipogenic differentiation. Bulk and single cell RNA Sequencing suggested that CD107alow cells represent a precursor population for CD107ahigh cells. Functional roles for CD107alow/high subsets were confirmed in transplantation experiments. Intramuscular transplantation of CD107alow cells yielded increased bone formation in comparison to their CD107ahigh counterparts. Further, CD107alow cells induced spine fusion whereas their CD107ahigh counterparts did not. In sum, cell surface CD107a in mesenchymal progenitors correlates with exocytosis during early adipogenesis, and can be used to divide osteo- from adipogenic progenitor cells within human fat tissue.

ORGANISM(S): Homo sapiens

PROVIDER: GSE148519 | GEO | 2020/10/06

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2014-03-18 | E-GEOD-55977 | biostudies-arrayexpress
2023-09-20 | GSE241333 | GEO
2013-03-15 | E-GEOD-45169 | biostudies-arrayexpress
2022-10-31 | GSE168569 | GEO
2016-04-11 | E-ERAD-460 | biostudies-arrayexpress
2014-10-29 | E-GEOD-57182 | biostudies-arrayexpress
2013-03-15 | GSE45169 | GEO
2021-11-17 | GSE138689 | GEO
2016-06-02 | E-GEOD-69991 | biostudies-arrayexpress
2023-12-26 | GSE247232 | GEO