scholarly journals Authentication of Primary Murine Cell Lines by a Microfluidics-Based Lab-On-Chip System

Biomedicines ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 590
Author(s):  
Yingfen Hong ◽  
Nikita Singh ◽  
Stefanos Bamopoulos ◽  
Enio Gjerga ◽  
Laura K. Schmalbrock ◽  
...  

The reliable authentication of cell lines is a prerequisite for the reproducibility and replicability of experiments. A common method of cell line authentication is the fragment length analysis (FLA) of short-tandem repeats (STR) by capillary electrophoresis. However, this technique is not always accessible and is often costly. Using a microfluidic electrophoresis system, we analyzed the quality and integrity of different murine cell lines by STR profiling. As a proof of concept, we isolated and immortalized hematopoietic progenitor cells (HPC) of various genotypes through retroviral transduction of the fusion of the estrogen receptor hormone-binding domain with the coding sequence of HoxB8. Cell lines were maintained in the HPC state with Flt3 ligand (FL) and estrogen treatment and could be characterized upon differentiation. In a validation cohort, we applied this technique on primary mutant Kras-driven pancreatic cancer cell lines, which again allowed for clear discrimination. In summary, our study provides evidence that FLA of STR-amplicons by microfluidic electrophoresis allows for stringent quality control and the tracking of cross-contaminations in both genetically stable HPC lines and cancer cell lines, making it a simple and cost-efficient alternative to traditional capillary electrophoresis.

2019 ◽  
Author(s):  
Ahmed Ibrahim Samir Khalil ◽  
Anupam Chattopadhyay ◽  
Amartya Sanyal

Abstract Background The widespread concern about genetic drift and cross-contamination of cell lines calls for a pressing need for their authentication. The current genetic techniques for authentication are time-consuming and require specific documentary standard and laboratory protocols. Given the fact that whole-genome sequencing (WGS) data are readily available, read depth (RD)-based computational analyses has allowed the estimation of genetic profiles of cell lines. Results We propose WGS-derived aneuploidy profiling as a prototype of digital karyotyping for authentication of cancer cell lines. Here, we describe a Python-based software AStra for de novo estimation of the genome-wide aneuploidy profile, the copy number of every genomic loci, from raw WGS reads. We demonstrated that aneuploidy profile offers a unique signature that can distinguish the clonal variants (strains) of a cell line. We evaluated our approach using simulated data and variety of cancer cell lines. We further showed that cell lines exhibit distinct aneuploidy patterns which corroborate well with the experimental observations. Conclusions AStra is a simple, user-friendly, and free tool that provides the elementary information about the chromosomal aneuploidy for cell line authentication. AStra provides an analytical and visualization platform for rapid and easy comparison between different cell lines/strains. We recommend AStra for rapid first-pass quality assessment of scientific data that employ cancer cell lines. AStra is an open source software and is available at https://github.com/AISKhalil/AStra.


2006 ◽  
Vol 175 (4S) ◽  
pp. 258-258
Author(s):  
Ruth Schwaninger ◽  
Cyrill A. Rentsch ◽  
Antoinette Wetterwald ◽  
Irena Klima ◽  
Gabri Van der Pluijm ◽  
...  

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