Short tandem repeat profiling for the authentication of cancer stem‐like cells. Issue 6 (9th November 2020)

• Record Type: Journal Article
• Authors: Visconti, Paola; Parodi, Federica; Parodi, Barbara; Casarino, Lucia; Romano, Paolo; Buccarelli, Mariachiara; Pallini, Roberto; D'Alessandris, Quintino Giorgio; Montori, Andrea; Pilozzi, Emanuela; Ricci‐Vitiani, Lucia
• Is Part Of: International journal of cancer. Volume 148:Issue 6(2021)
• Page Start: 1489
• Page End: 1498
• Publication Date: 2020-11-09
• Subjects: cell line authentication -- colorectal tumor -- glioblastoma -- human stem‐like cell lines -- short tandem repeat profiling; Cancer -- Periodicals; Cancer -- Prevention -- Periodicals; 616.994
• DOI: 10.1002/ijc.33370
• Languages: English
• ISSNs: 0020-7136

Abstract

Abstract: Colorectal and glioblastoma cancer stem‐like cells (CSCs) are essential for translational research. Cell line authentication by short tandem repeat (STR) profiling ensures reproducibility of results in oncology research. This technique enables to identify mislabeling or cross‐contamination of cell lines. In our study, we provide a reference dataset for a panel of colorectal and glioblastoma CSCs that allows authentication. Each cell line was entered into the cell Line Integrated Molecular Authentication database 2.1 to be compared to the STR profiles of 4485 tumor cell lines. This article also provides clinical data of patients from whom CSCs arose and data on the parent tumor stage and mutations. STR profiles and information of our CSCs are also available in the Cellosaurus database (ExPASy) as identified by unique research resource identifier codes. What's new?: Human cell lines obtained from cancer stem‐like cells represent an invaluable model for studying tumor properties. Cell line authentication by short tandem repeat (STR) profiling is an important tool to identify the potential mislabeling or cross‐contamination of cell lines. Here, the authors characterized 18 colorectal cancer stem‐like cell lines from 17 patients and 103 glioblastoma cancer stem‐like cell lines from 95 patients by STR profiling to create a reference dataset that allows the authentication of these cell lines and their identification through a unique research resource identifier. The results will help further ensure the reliability and reproducibility of research experiments.