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Real-time dynamic single-molecule protein sequencing on an integrated semiconductor device

Authors :
Brian D. Reed
Michael J. Meyer
Valentin Abramzon
Omer Ad
Pat Adcock
Faisal R. Ahmad
Gün Alppay
James A. Ball
James Beach
Dominique Belhachemi
Anthony Bellofiore
Michael Bellos
Juan Felipe Beltrán
Andrew Betts
Mohammad Wadud Bhuiya
Kristin Blacklock
Robert Boer
David Boisvert
Norman D. Brault
Aaron Buxbaum
Steve Caprio
Changhoon Choi
Thomas D. Christian
Robert Clancy
Joseph Clark
Thomas Connolly
Kathren Fink Croce
Richard Cullen
Mel Davey
Jack Davidson
Mohamed M. Elshenawy
Michael Ferrigno
Daniel Frier
Saketh Gudipati
Stephanie Hamill
Zhaoyu He
Sharath Hosali
Haidong Huang
Le Huang
Ali Kabiri
Gennadiy Kriger
Brittany Lathrop
An Li
Peter Lim
Stephen Liu
Feixiang Luo
Caixia Lv
Xiaoxiao Ma
Evan McCormack
Michele Millham
Roger Nani
Manjula Pandey
John Parillo
Gayatri Patel
Douglas H. Pike
Kyle Preston
Adeline Pichard-Kostuch
Kyle Rearick
Todd Rearick
Marco Ribezzi-Crivellari
Gerard Schmid
Jonathan Schultz
Xinghua Shi
Badri Singh
Nikita Srivastava
Shannon F. Stewman
TR Thurston
T. R. Thurston
Philip Trioli
Jennifer Tullman
Xin Wang
Yen-Chih Wang
Eric A. G. Webster
Zhizhuo Zhang
Jorge Zuniga
Smita S. Patel
Andrew D. Griffiths
Antoine M. van Oijen
Michael McKenna
Matthew D. Dyer
Jonathan M. Rothberg
Source :
Science. 378:186-192
Publication Year :
2022
Publisher :
American Association for the Advancement of Science (AAAS), 2022.

Abstract

Studies of the proteome would benefit greatly from methods to directly sequence and digitally quantify proteins and detect posttranslational modifications with single-molecule sensitivity. Here, we demonstrate single-molecule protein sequencing using a dynamic approach in which single peptides are probed in real time by a mixture of dye-labeled N-terminal amino acid recognizers and simultaneously cleaved by aminopeptidases. We annotate amino acids and identify the peptide sequence by measuring fluorescence intensity, lifetime, and binding kinetics on an integrated semiconductor chip. Our results demonstrate the kinetic principles that allow recognizers to identify multiple amino acids in an information-rich manner that enables discrimination of single amino acid substitutions and posttranslational modifications. With further development, we anticipate that this approach will offer a sensitive, scalable, and accessible platform for single-molecule proteomic studies and applications.

Subjects

Subjects :
Multidisciplinary

Details

ISSN :
10959203 and 00368075
Volume :
378
Database :
OpenAIRE
Journal :
Science
Accession number :
edsair.doi...........6d3367086ac787e208c4c79a68cbb83f
Full Text :
https://doi.org/10.1126/science.abo7651