Biomarkers to Assist in the Evaluation of Chest Pain

Sekhon, Navdeep; Peacock, W. Frank

doi:10.1016/b978-0-323-54835-9.00011-9

Cited by 1 publication

(1 citation statement)

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“…Myoglobin, an electrically neutral protein found in the human bloodstream after skeletal muscle injury or renal insufficiency, is a sensitive disease marker. , Subtle differences in the structure and charge properties between the heme-free (apo-) and heme-bound (holo-) forms of myoglobin make it a suitable model protein for structural methodology studies (Figure a) . Accordingly, myoglobin was applied to evaluate the sensing resolution of the MspA trap.…”

Section: Resultsmentioning

confidence: 99%

Machine Learning Assisted Simultaneous Structural Profiling of Differently Charged Proteins in a Mycobacterium smegmatis Porin A (MspA) Electroosmotic Trap

Liu

Wang

et al. 2022

J. Am. Chem. Soc.

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The nanopore is emerging as a means of singlemolecule protein sensing. However, proteins demonstrate different charge properties, which complicates the design of a sensor that can achieve simultaneous sensing of differently charged proteins. In this work, we introduce an asymmetric electrolyte buffer combined with the Mycobacterium smegmatis porin A (MspA) nanopore to form an electroosmotic flow (EOF) trap. Apo-and holo-myoglobin, which differ in only a single heme, can be fully distinguished by this method. Direct discrimination of lysozyme, apo/holo-myoglobin, and the ACTR/NCBD protein complex, which are basic, neutral, and acidic proteins, respectively, was simultaneously achieved by the MspA EOF trap. To automate event classification, multiple event features were extracted to build a machine learning model, with which a 99.9% accuracy is achieved. The demonstrated method was also applied to identify single molecules of α-lactalbumin and βlactoglobulin directly from whey protein powder. This protein-sensing strategy is useful in direct recognition of a protein from a mixture, suggesting its prospective use in rapid and sensitive detection of biomarkers or real-time protein structural analysis.

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Section: Resultsmentioning

confidence: 99%