Project description:Three different progenitor cell subsets in subcutaneous and visceral adipose tissues derived from 5 obese patients were subjected to AmpliSeq transcriptome profiling. Transcriptomic profiles were analyzed to compare progenitor cell subsets and the impact of subcutaneous and visceral adipose tissue location.
Project description:Transcriptomic profile of human adipose tissue progenitor cells was performed as follows. For AmpliSeq transcriptome sequencing library construction, AmpliSeq™ Library PLUS, AmpliSeq Transcriptome Human Gene Expression Panel and AmpliSeq CD indexes SetA kits were purchased from Illumina and sequencing libraries were constructed as described in AmpliSeq for Illumina Transcriptome Human Gene Expression Panel reference guide (Illumina). Equimolar concentrations of libraries were pooled at 4 nM and denatured and diluted as described in Denature and Dilute Libraries Guide (Illumina) and adjusted to final concentration of 1.4 pM. Resulting library was sequenced on NextSeq 500 using NextSeq 500/550 High Output v2 kit with 2 X 151 bp cycle. Generated raw files were converted to FASTQ files and used for data analysis. AmpliSeq transcriptome FASTQ files were analyzed on Array studio V10.0 (Omicsoft, Qiagen). Following raw read QC, first and last 10 bases were trimmed and mapped to reference genome Human.B38. The read count data was generated using GeneModel RefGene20170606. Resulting data was normalized by DESeq package, transformed to log2 value and used for ANOVA analyses.
Project description:White adipose tissue (WAT) harbors functionally diverse subpopulations of adipose progenitor cells that differentially impact tissue plasticity in a sex- and depot-dependent manner. To date, the molecular basis of this cellular heterogeneity has not been fully defined. Here, we describe a multilayered omics approach to dissect adipose progenitor cell heterogeneity from in three dimensions: progenitor subpopulation, sex, and anatomical localization. We applied state-of-the-art mass spectrometry methods to quantify 4870 proteins in eight different stromal cell populations from perigonadal and inguinal WAT of male and female mice and acquired transcript expression levels of 15477 genes using RNA-seq. Notably, our data highlight the molecular signatures defining sex differences in PDGFR+ preadipocyte differentiation and identify regulatory pathways that functionally distinguish adipose tissue PDGFRb+ subpopulations. The data are freely accessible as a resource at "Pread Profiler. Together, the multilayered omics analysis provides unprecedented insights into adipose stromal cell heterogeneity.
Project description:The healthy growth of adipose tissue depends on the capacity of progenitor cells to undergo denovo adipogenesis. However, the cellular hierarchy and mechanisms governing adipocyteprogenitor differentiation are incompletely understood. Here, we identify a lineage hierarchy25 consisting of distinct mesenchymal cell types present in mouse and human adipose tissue. Cellsmarked by Dpp4 expression are highly proliferative, multipotent progenitors that give rise toIcam1+ committed pre-adipocytes and a related adipogenic population marked by Clec11a andCd142 expression. TGFβ maintains DPP4+ cell identity and inhibits adipogenic commitment ofDPP4+ and CD142+ cells. Intriguingly, DPP4+ progenitors reside in the reticular interstitium that30 envelope many organs including adipose depots. Altogether, this study defines the adipose lineagehierarchy and identifies a new anatomical niche for multipotent mesenchymal progenitors.
Project description:The healthy growth of adipose tissue depends on the capacity of progenitor cells to undergo denovo adipogenesis. However, the cellular hierarchy and mechanisms governing adipocyteprogenitor differentiation are incompletely understood. Here, we identify a lineage hierarchy25 consisting of distinct mesenchymal cell types present in mouse and human adipose tissue. Cellsmarked by Dpp4 expression are highly proliferative, multipotent progenitors that give rise toIcam1+ committed pre-adipocytes and a related adipogenic population marked by Clec11a andCd142 expression. TGFβ maintains DPP4+ cell identity and inhibits adipogenic commitment ofDPP4+ and CD142+ cells. Intriguingly, DPP4+ progenitors reside in the reticular interstitium that30 envelope many organs including adipose depots. Altogether, this study defines the adipose lineagehierarchy and identifies a new anatomical niche for multipotent mesenchymal progenitors.
Project description:Purpose: We here hypothesized that serglycin may have an impact on obese inflammation. To address this, we subjected Srgn+/+ and Srgn-/- male mice to an eight-week high fat/high sucrose diet, followed by an analysis of the effects of serglycin-deficiency on adipose tissue transcriptome. Methods: Ampliseq sequencing was performed on an Ion S5™ XL Sequencer. Total RNA was isolated from eWAT (n=5) using the Direct-zol RNA MiniPrep column kit (The Epigenetics Company, Irvine, CA). cDNA libraries were prepared and amplified with the Ion AmpliSeq™ Transcriptome Mouse Gene Expression Kit (Life Technologies, Carlsbad, CA), following the manufacturer`s instructions. Sequencing was performed on an Ion S5™ XL Sequencer (Thermo Scientific, Waltham, MA). Data had read lengths with average between 98 and 110 bp and high mapping (95% of aligned bases). The expression values were generated by using software Torrent Suite™ (version 5.10.1). Results: The absence of serglycin caused reduced expression of numerous genes linked to inflammatory pathways. Conclusions: This study identifies a role for serglycin, in particular the macrophages, in regulating the immune response in adipose inflammation.