Unique Genetic Barcodes Improve Cell Line Verification

Misidentification and unauthorized use of genetically engineered cell lines have been persistent issues in biomedical research, leading to significant financial losses and jeopardizing scientific progress and intellectual property. Researchers at The University of Texas at Dallas have responded to this challenge by creating a new method for embedding unique genetic identifiers directly in engineered cell lines, effectively reducing identification errors and reinforcing security.

The novel technology leverages gene-editing techniques to embed unique “barcodes” in living cells, which serve as tamper-proof markers. Leonidas Bleris, senior author on the paper published in Advanced Science, emphasized that there are thousands of cell lines in circulation today, yet verifying their identity and origin has remained unreliable. “Our team has been tackling this challenge by developing innovative solutions that embed unique genetic IDs—essentially barcodes—directly into cells,” Bleris noted. This approach is particularly vital due to the widespread use of CRISPR, which has accelerated the creation of new custom cell models but has also made authentication more difficult.

Current authentication methods, according to Bleris, cannot distinguish cell lines with the same origin that possess different genetic modifications, making research susceptible to cross-contamination and misidentification. To bring stronger protection, UT Dallas researchers adapted a security concept from microchip manufacturing called physical unclonable functions (PUFs) to biology, resulting in patent-pending technology that produces unique, immutable genetic “fingerprints” for cell lines. “Biotechnology companies can now ‘barcode’ their cell lines to protect their product,” Bleris said.

A previous version of this technology created the genetic tags in two steps, but their latest research refines the process to a single step, improving ease of use. The method combines CRISPR with an enzyme, Cas9, that creates a break in a “safe-harbor” region of the genome—an area known not to disrupt cellular function. Then another enzyme, terminal deoxynucleotidyl transferase, repairs the break while inserting random DNA sequences that act as a unique pattern, thus labeling each cell line.

To complement the genetic barcoding, the UT Dallas team also developed machine learning tools for accurate cell line identification. According to co-lead author Taek Kang, “The machine learning-based method we developed allows us to fully utilize the space of genetic fingerprints and improve the resolution of cell-line identification.”