Biology subjects

Heitmeier, C. J.

Publications and source records attributed to Heitmeier, C. J..

3 recordsLinked to original sources

bioRxiv2024

MEMO: A Micro Memo Sensor Detecting microRNA-RISC using an Accurate Cell-Free Expression Platform

Circulating microRNAs have emerged as potential prognostic biomarkers of various diseases. They serve as micro memos sent out by cells, which scientists can intercept to gain real-time insights into cellular and disease status. However, establishing a standardized microRNA detection platform remains a challenge. Here, we integrate the RNA-induced silencing complex (RISC), which occupies mature microRNAs, into a complex cell-free synthetic genetic circuit using three different RNA polymerases, creating an innovative microRNA biosensor that is sensitive, precise, and cost-effective. The RISC protects the microRNA degradation during isolation and ensures the elimination of false target interactions, enhancing the detection robustness. With a limit of detection of 81 pM, affordability, and the possibility for on-demand use, this system proves to be a strong miRNA sensing tool.

synthetic biology↗

bioRxiv2023

Expanding the Cell-Free Reporter Protein Toolbox by Employing a Split mNeonGreen System to Reduce Protein Synthesis Workload

The cell-free system offers potential advantages in biosensor applications, but their limited substrate supply poses a challenge in balancing enough sensing resources to detect low limits of analyte while providing a robust output signal. In this study, we harnessed split versions of fluorescent proteins, particularly split super-folder green fluorescent protein and mNeonGreen, to improve energy efficiency and enhance detection limit in the cell-free system. A comparative analysis of the expression of 1-10 and eleventh segments of beta strands in both whole-cell and cell-free platforms revealed distinct fluorescence patterns. Moreover, integrating SynZip peptide linkers substantially improved complementation, achieving a fluorescence intensity reaching 73.6% of the full-length protein and a 4.8-fold increase in expression compared to the split system without the SynZip peptide linkers. The split protein reporter system can enable energy-efficient sensing of low analyte levels in the cell-free system, broadening the toolbox of cell-free biosensor repertoire.

synthetic biology↗

bioRxiv2022

Characterizing a New Fluorescent Protein for Low Limit of Detection Sensing in the Cell-Free System

Cell-free protein synthesis-based biosensors have been developed as highly accurate, low- cost biosensors. However, since most biomarkers exist at low concentrations in various types of biopsies, the biosensors dynamic range must be increased in the system to achieve the low limits of detection necessary while deciphering from higher background signals. Many attempts to increase the dynamic range have relied on amplifying the input signal from the analyte, which can lead to complications of false positives. In this study, we aimed to increase the protein synthesis capability of the cell-free protein synthesis system and the output signal of the reporter protein to achieve a lower limit of detection. We utilized a new fluorescent protein - mNeonGreen, which produces a higher output than those commonly used in cell-free biosensors. Optimizations of DNA sequence and the subsequent cell-free protein synthesis reaction conditions allowed characterizing protein expression variability by given DNA template types, reaction environment, and storage additives that cause the greatest time constraint on designing the cell-free biosensor. Finally, we characterized the fluorescence kinetics of mNeonGreen compared to the commonly used reporter protein, superfolder Green Fluorescent Protein. We expect that this finely tuned cell-free protein synthesis platform with the new reporter protein can be used with sophisticated synthetic gene circuitry networks to increase the dynamic range of a cell-free biosensor to reach lower detection limits and reduce false positives proportion.

synthetic biology↗