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Journal Articles Nature Methods Year : 2021

The emerging landscape of single-molecule protein sequencing technologies

1 UG - University of Gdańsk
2 TU Delft - Delft University of Technology
3 Harvard University
4 HMS - Harvard Medical School [Boston]
5 University of Texas at Austin [Austin]
6 Technion - Israel Institute of Technology [Haifa]
7 WUR - Wageningen University and Research [Wageningen]
8 UIUC - University of Illinois at Urbana-Champaign [Urbana]
9 EPFL - Ecole Polytechnique Fédérale de Lausanne
10 Università degli Studi di Roma Tor Vergata [Roma] = University of Rome Tor Vergata
11 CHRU Lille - Centre Hospitalier Régional Universitaire [CHU Lille]
12 PRISM - Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U 1192
13 LIH - Luxembourg Institute of Health
14 University of Luxembourg [Luxembourg]
15 Brown University
16 UVIC - University of Victoria [Canada]
17 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
18 UGA - Université Grenoble Alpes
19 Northwestern University [Evanston]
20 BYU - Brigham Young University
21 IBBR - Institute for Bioscience and Biotechnology Research [Rockville, MD, États-Unis]
22 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
23 UPV/EHU - Universidad del Pais Vasco / Euskal Herriko Unibertsitatea [Espagne]
24 ASU - Arizona State University [Tempe]
25 University of Groningen [Groningen]
26 BGE - UMR S1038 - Laboratoire de Biologie à Grande Échelle
27 UNIFR - Université de Fribourg = University of Fribourg
28 University of Toronto
29 Northeastern University [Boston]
Derek Stein
  • Function : Author

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.
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Dates and versions

hal-03605364 , version 1 (08-02-2024)

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Javier Antonio Alfaro, Peggy Bohländer, Mingjie Dai, Mike Filius, Cecil J. Howard, et al.. The emerging landscape of single-molecule protein sequencing technologies. Nature Methods, 2021, 18 (6), pp.604--617. ⟨10.1038/s41592-021-01143-1⟩. ⟨hal-03605364⟩
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