| Literature DB >> 34099939 |
Javier Antonio Alfaro1, Peggy Bohländer2, Mingjie Dai3,4, Mike Filius5, Cecil J Howard6, Xander F van Kooten7, Shilo Ohayon7, Adam Pomorski5, Sonja Schmid8, Amit Meller9,10, Chirlmin Joo11, Aleksei Aksimentiev12, Eric V Anslyn6, Georges Bedran13, Chan Cao14, Mauro Chinappi15, Etienne Coyaud16, Cees Dekker5, Gunnar Dittmar17,18, Nicholas Drachman19, Rienk Eelkema2, David Goodlett13,20, Sébastien Hentz21, Umesh Kalathiya13, Neil L Kelleher22, Ryan T Kelly23, Zvi Kelman24,25, Sung Hyun Kim5, Bernhard Kuster26,27, David Rodriguez-Larrea28, Stuart Lindsay29, Giovanni Maglia30, Edward M Marcotte31, John P Marino24, Christophe Masselon32, Michael Mayer33, Patroklos Samaras26, Kumar Sarthak12, Lusia Sepiashvili34, Derek Stein19, Meni Wanunu35,36, Mathias Wilhelm26, Peng Yin3,4.
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.Entities:
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Year: 2021 PMID： 34099939 PMCID： PMC8223677 DOI： 10.1038/s41592-021-01143-1
Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 47.990