Proline‐Selective Electrochemiluminescence Detecting a Single Amino Acid Variation Between A1 and A2 β‐Casein Containing Milks

The proline amino acid and prolyl residues of peptides/proteins confer unique biological and biochemical properties that motivates the development of proline-selective analysis. The study focuses on one specific class of problem, the detection of single amino acid variants involving proline, and reports a Pro-selective electrochemiluminescence (ECL) method. To develop this method, the A1-/A2- variants of milk's β-casein protein are investigated because it is a well-established example and abundant samples are readily available. Specifically, β-casein has 209 amino acids with 34 (or 35) proline residues: the A1-variant has a Pro-to-His substitution at position 67 (relative to the A2 variant). The study shows that proline's strong luminescence allows the generic discrimination of: Pro from other amino acids; an A2-oligopeptide from an A1-oligopeptide; the A2-β-casein variant from the A1-variant; and commercially-available A2 milks from A1-containing regular milks. The evidence indicates that luminescence depends on proline content and accessibility, as well as signal quenching. Compared to conventional immunoassays, the ECL method is simple, rapid, and inexpensive. Further, the ECL-method is Pro-selective (vs molecularly-selective like typical immunoassays) which should make it broadly useful for studying the role of proline in biology and especially useful for tracking the digestion of proline-rich proteins in the diet.

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Publication Details

Journal
Advanced Science
Published
2024-12-07
DOI
https://doi.org/10.1002/advs.202411956
Citations
7
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
1.64

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article

Proline‐Selective Electrochemiluminescence Detecting a Single Amino Acid Variation Between A1 and A2 β‐Casein Containing Milks

Monica J. Chu, William E. Bentley, Chen‐Yu Chen, Eunkyoung Kim et al.
7 citations
Advanced Science
Advanced biosensing and bioanalysis techniques
1.64
article

Proline‐Selective Electrochemiluminescence Detecting a Single Amino Acid Variation Between A1 and A2 β‐Casein Containing Milks

Monica J. Chu, William E. Bentley, Chen‐Yu Chen, Eunkyoung Kim, Gregory F. Payne, Mya F. Hamstra
article en
7 citations

Abstract

The proline amino acid and prolyl residues of peptides/proteins confer unique biological and biochemical properties that motivates the development of proline-selective analysis. The study focuses on one specific class of problem, the detection of single amino acid variants involving proline, and reports a Pro-selective electrochemiluminescence (ECL) method. To develop this method, the A1-/A2- variants of milk's β-casein protein are investigated because it is a well-established example and abundant samples are readily available. Specifically, β-casein has 209 amino acids with 34 (or 35) proline residues: the A1-variant has a Pro-to-His substitution at position 67 (relative to the A2 variant). The study shows that proline's strong luminescence allows the generic discrimination of: Pro from other amino acids; an A2-oligopeptide from an A1-oligopeptide; the A2-β-casein variant from the A1-variant; and commercially-available A2 milks from A1-containing regular milks. The evidence indicates that luminescence depends on proline content and accessibility, as well as signal quenching. Compared to conventional immunoassays, the ECL method is simple, rapid, and inexpensive. Further, the ECL-method is Pro-selective (vs molecularly-selective like typical immunoassays) which should make it broadly useful for studying the role of proline in biology and especially useful for tracking the digestion of proline-rich proteins in the diet.

Advanced ScienceVol. 12(5)
Institute for Bioscience and Biotechnology Research, University of Maryland, College Park (US)
National Science Foundation, Gordon and Betty Moore Foundation, Defense Threat Reduction Agency
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Advanced biosensing and bioanalysis techniques
1.64
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