The emerging landscape of single-molecule protein sequencing technologies

Javier Antonio Alfaro*, Peggy Bohländer, Mingjie Dai, Mike Filius, Cecil J. Howard, Xander F. van Kooten, Shilo Ohayon, Adam Pomorski, Sonja Schmid, Aleksei Aksimentiev, Eric V. Anslyn, Georges Bedran, Chan Cao, Mauro Chinappi, Etienne Coyaud, Cees Dekker, Gunnar Dittmar, Nicholas Drachman, Rienk Eelkema, David GoodlettSébastien Hentz, Umesh Kalathiya, Neil L. Kelleher, Ryan T. Kelly, Zvi Kelman, Sung Hyun Kim, Bernhard Kuster, David Rodriguez-Larrea, Stuart Lindsay, Giovanni Maglia, Edward M. Marcotte, John P. Marino, Christophe Masselon, Michael Mayer, Patroklos Samaras, Kumar Sarthak, Lusia Sepiashvili, Derek Stein, Meni Wanunu, Mathias Wilhelm, Peng Yin, Amit Meller, Chirlmin Joo

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Single-cell profiling methods have had a profound impact on the understanding of cellular heterogeneity. While genomes and transcriptomes can be explored at the single-cell level, single-cell profiling of proteomes is not yet established. Here we describe new single-molecule protein sequencing and identification technologies alongside innovations in mass spectrometry that will eventually enable broad sequence coverage in single-cell profiling. These technologies will in turn facilitate biological discovery and open new avenues for ultrasensitive disease diagnostics.

Original languageEnglish (US)
Pages (from-to)604-617
Number of pages14
JournalNature Methods
Volume18
Issue number6
DOIs
StatePublished - Jun 2021

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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