Saturday, March 3, 2012

Validation of an automated procedure to isolate human adipose tissue-derived cells by using the Sepax� technology.

Validation of an automated procedure to isolate human adipose tissue-derived cells by using the Sepax� technology.

Tissue Eng Part C Methods. 2012 Feb 29;

Authors: G�ven S, Karagianni M, Schwalbe M, Schreiner S, Farhadi J, Bula S, Bieback K, Martin I, Scherberich A

Abstract
The stromal vascular fraction of adipose tissue has raised an increased interest as a source of autologous progenitor cells for tissue engineering and regenerative medicine applications. The aim of this study was to validate a newly developed automated procedure to isolate adipose-derived mesenchymal stem/stromal cells (ASC) from adult human lipoaspirates in a closed and clinical-grade device, based on the Sepax� technology. Using a total of 11 donors, this procedure was compared to the standard operator-based manual separation in terms of isolation yield, clonogenic fraction, phenotype and differentiation potential of ASC. As compared to the manual process, the automated one resulted in a 62% higher isolation yield, with 2.6�1.2 x 105 nucleated cells per mL of liposuction, and a 24% higher frequency of clonogenic progenitors. The variability in the isolation yield and clonogenicity across different preparations was reduced respectively by 18% and 50%. The cytofluorimetric profile and in vitro multilineage differentiation capacity were comparable in the cells isolated using the two procedures. The new Sepax�-based process thus allows an efficient isolation of ASC with higher and more reproducible yields than the standard manual procedure, along with minimal operator intervention. These results are expected to facilitate the use of ASC for clinical purposes, either within an introperative setting or in combination with further in vitro cell expansion/cultivation.

PMID: 22372873 [PubMed - as supplied by publisher]

Source: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?tmpl=NoSidebarfile&db=PubMed&cmd=Retrieve&list_uids=22372873&dopt=Abstract

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