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Figure 1.

Isolation and characterization of human ASC.

A. Morphology of human ASC populations, as detected under bright field. B. Expression of specific markers measured by qRT-PCR. Cells were harvested at passage 0, and RNA was analyzed for markers of adipose-derived stem cells (CD105, CD44, CD49d), human leukocytes and macrophages (CD45, CD11b), and mature endothelial cells (CD31).+or – signs indicate the relative levels of marker expression. Results are from 5 independent adipose tissue donors.

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Figure 2.

mRNA expression levels of contaminating mesenchymal lineage markers (CD45, CD31, CD11b) (A) and adipose-derived stem cell markers (CD105, CD44, CD49d) (B), measured by qRT-PCR.

ASCSVF were analyzed at passage 0 (P0) and at passage 4 (P4). Open bars, Sc-ASC; filled bars, V-ASC. *p<0.001 vs. P0. Results are from 5 independent adipose tissue donors.

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Figure 3.

Venn diagrams summarizing the number of differentially expressed genes in Sc and V ASC populations.

A. Genes found to be differentially expressed by comparing Sc-ASC and V-ASC subsets (inter-depot analysis). B. Genes found to be differentially expressed by comparing ASCSVF, ASCBottom, and ASCCeiling from the Sc adipose tissue (Sc intra-depot analysis). C. Genes found to be differentially expressed by comparing ASCSVF, ASCBottom, and ASCCeiling from the V adipose tissue (V intra-depot analysis). In each panel, figures for conjoint (and non-conjoint) differentially expressed genes are also indicated.

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Figure 4.

Global views of gene expression utilizing the Principal Component Analysis (PCA).

A. PCA comparing gene expression of Sc-ASC (blue) and V-ASC (red) subsets. B. PCA comparing gene expression of ASCSVF (red), ASCBottom (blue), and ASCCeiling (green) from Sc and V fat depots, respectively. PCA analyses were performed by Partek GS software using default settings that include a threshold to remove low background level intensities. PCA percent mapping on the top of each plot indicates the explained variability on the first coordinate.

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Table 1.

Significant top list of associated network functions from IPA in Sc and V ASCs.

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Table 2.

Significant top list of canonical pathways from IPA in Sc and V ASCs.

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Figure 5.

Quantitative analysis of specific genes previously identified in the microarray analysis and found to be differentially expressed in the distinct ASC subsets.

mRNA levels were analyzed by qRT-PCR, as described under Methods. Open bars, Sc-ASC; filled bars, V-ASC. All data represent mean ± SE from 9 independent adipose tissue donors. *p<0.05 vs. V-ASC; #p<0.05 vs. other ASC populations from the same adipose tissue depot (ANOVA test followed by Fisher’s post-hoc test). SVF, stromo-vascular; B, bottom; C, ceiling.

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Figure 6.

Release of cytokines from Sc-ASC and V-ASC populations.

Culture medium from Sc-ASC (open bars) and V-ASC (filled bars) subsets (106 cells) was collected after a 16-h period, and levels of specific cytokines were determined using the multiplex technique, as described under Materials and Methods. Data represent the mean ± SE of results from 9 independent adipose tissue donors. *p<0.05 vs. V; #p<0.05 vs. other ASC subsets from the same adipose tissue depot (ANOVA test followed by Fisher’s post-hoc test).

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