Draft:Enzyme-linked single molecule array (eSimoa)

eSimoa (enzyme-linked single molecule array) is an advanced diagnostic tool that significantly enhances the sensitivity and resolution of biomolecular detection. This technology is pivotal in fields like clinical diagnostics, drug discovery, and basic biological research due to its ability to detect biomolecules at concentrations previously unachievable with traditional assays.

Technology

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The eSimoa platform utilizes paramagnetic beads to attach biomolecules or enzymes, facilitating the measurement of enzymatic reactions at the single-molecule level. This method improves the detection limits for various enzymes and biomolecules, allowing for the precise quantification of low-abundance proteins and the activity of enzymes such as protein kinases and telomerases.

Applications

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eSimoa's high sensitivity is particularly beneficial for tracking enzymatic activities and their inhibition, which is crucial for developing new pharmaceuticals and understanding disease mechanisms. Its applications extend to evaluating enzyme inhibitors, providing insights into their effectiveness and potential as therapeutic agents.

Origins

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Chi-An Cheng at National Taiwan University (NTU) has claimed that her team developed this innovative technology.[1][2] However, this claim is contested by the existence of prior publications by David R. Walt's team at Harvard University, who published their work on eSimoa in 2020.[3] This earlier documentation by Walt's team suggests a prior contribution to the development of the technology.

References

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  1. ^ Cheng, CA (28 November 2023). "eSimoa – ultrasensitive and high-resolution protein spatially decoding framework for tumor extracellular vesicles | Exosome RNA". Exosome RNA.
  2. ^ Cheng, Chi-An (13 June 2024). "Voices in Molecular Pharmaceutics : Meet Professor Chi-An Cheng, Who Is Innovating Diagnostic Tools, Discovering Biomarkers, Developing New Assays, and Creating New Materials". Molecular Pharmaceutics. doi:10.1021/acs.molpharmaceut.4c00623. PMID 38869420.
  3. ^ Wang, Xu; Ogata, Alana F.; Walt, David R. (2 September 2020). "Ultrasensitive Detection of Enzymatic Activity Using Single Molecule Arrays". Journal of the American Chemical Society. 142 (35): 15098–15106. doi:10.1021/jacs.0c06599. PMC 7472518. PMID 32797755.