Evaluating and mitigating clinical samples matrix effects on TX-TL cell-free performance.

ABSTRACT: Cell-free biosensors are promising tools for medical diagnostics, yet their performance can be affected by matrix effects arising from the sample itself or from external components. Here we systematically evaluate the performance and robustness of cell-free systems in serum, plasma, urine, and saliva using two reporter systems, sfGFP and luciferase. In all cases, clinical samples have a strong inhibitory effect. Of the different inhibitors, only RNase inhibitor mitigated matrix effects. However, we found that the recovery potential of RNase inhibitor was partially muted by interference from glycerol contained in the commercial buffer. We solved this issue by designing a strain producing an RNase inhibitor protein requiring no additional step in extract preparation. Furthermore, our new ext

SUBMITTER: Voyvodic PL 

PROVIDER: S-EPMC9374283 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature