Cell selection by selective matrix adhesion is not sufficiently efficient for complete malignant cell depletion from contaminated human testicular cell suspensions  

Oleh:

Geens, Mieke ; Goossens, Ellen ; Tournaye, Herman

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Fertility and Sterility (keterangan: ada di ClinicalKey) vol. 95 no. 02 (Feb. 2011), page 787-791.
Topik: Cells; Germ cells; cancer; leukemia; spermatogonial stem cell transplantation; decontamination; matrix selection; MACS; CD49f

Ketersediaan

Perpustakaan FK Nomor Panggil: F02.K.2011.02 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Objective To investigate whether a selective matrix adhesion–based protocol can enrich germ cells and deplete cancer cells from contaminated human testicular cell suspensions. Design Artificially contaminated and control testicular cell suspensions were selectively cultured. After each experimental step, the presence of B cells was evaluated by fluorescence-activated cell sorting (FACS) and/or polymerase chain reaction (PCR). Setting Academic medical center. Patient(s) Five vasectomy reversal patients willing to donate testicular tissue for research after informed consent. Intervention(s) In vitro culture, magnetic-activated cell sorting (MACS), matrix adhesion, FACS, and PCR. Main Outcome Measure(s) FACS analysis for CD49f and human leukocyte antigen (HLA) class I expression; PCR analysis for a 120-bp fragment of the B-cell receptor. Result(s) With the use of a matrix adhesion–based protocol, CD49f+ HLA class I- cells could be highly enriched, but HLA class I+ CD49f- cells could still be detected. PCR proved that the cell suspensions contained malignant cells originating from the cell line used to contaminate them. Conclusion(s) Even though an efficient enrichment of germ cells was achieved, the resulting population was not pure. Malignant cells were detected in selected cell suspensions of all five patients, demonstrating that the efficacy of this protocol is insufficient for clinical application.

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