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 Goodlett; Sébastien 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

doi:10.1038/s41592-021-01143-1

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

Department of Physics

Research output: Contribution to journal › Review article › peer-review

266 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 language	English
Pages (from-to)	604-617
Number of pages	14
Journal	Nature Methods
Volume	18
Issue number	6
DOIs	https://doi.org/10.1038/s41592-021-01143-1
State	Published - Jun 2021

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature America, Inc.

Access to Document

10.1038/s41592-021-01143-1

Cite this

Alfaro, J. A., Bohländer, P., Dai, M., Filius, M., Howard, C. J., van Kooten, X. F., Ohayon, S., Pomorski, A., Schmid, S., Aksimentiev, A., Anslyn, E. V., Bedran, G., Cao, C., Chinappi, M., Coyaud, E., Dekker, C., Dittmar, G., Drachman, N., Eelkema, R., ... Joo, C. (2021). The emerging landscape of single-molecule protein sequencing technologies. Nature Methods, 18(6), 604-617. https://doi.org/10.1038/s41592-021-01143-1

@article{4d55cff592394783ab4dbe659bbb1a6b,

title = "The emerging landscape of single-molecule protein sequencing technologies",

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.",

author = "Alfaro, \{Javier Antonio\} and Peggy Bohl{\"a}nder and Mingjie Dai and Mike Filius and Howard, \{Cecil J.\} and \{van Kooten\}, \{Xander F.\} and Shilo Ohayon and Adam Pomorski and Sonja Schmid and Aleksei Aksimentiev and Anslyn, \{Eric V.\} and Georges Bedran and Chan Cao and Mauro Chinappi and Etienne Coyaud and Cees Dekker and Gunnar Dittmar and Nicholas Drachman and Rienk Eelkema and David Goodlett and S{\'e}bastien Hentz and Umesh Kalathiya and Kelleher, \{Neil L.\} and Kelly, \{Ryan T.\} and Zvi Kelman and Kim, \{Sung Hyun\} and Bernhard Kuster and David Rodriguez-Larrea and Stuart Lindsay and Giovanni Maglia and Marcotte, \{Edward M.\} and Marino, \{John P.\} and Christophe Masselon and Michael Mayer and Patroklos Samaras and Kumar Sarthak and Lusia Sepiashvili and Derek Stein and Meni Wanunu and Mathias Wilhelm and Peng Yin and Amit Meller and Chirlmin Joo",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature America, Inc.",

year = "2021",

month = jun,

doi = "10.1038/s41592-021-01143-1",

language = "English",

volume = "18",

pages = "604--617",

journal = "Nature Methods",

issn = "1548-7091",

publisher = "Nature Research",

number = "6",

}

Alfaro, JA, Bohländer, P, Dai, M, Filius, M, Howard, CJ, van Kooten, XF, Ohayon, S, Pomorski, A, Schmid, S, Aksimentiev, A, Anslyn, EV, Bedran, G, Cao, C, Chinappi, M, Coyaud, E, Dekker, C, Dittmar, G, Drachman, N, Eelkema, R, Goodlett, D, Hentz, S, Kalathiya, U, Kelleher, NL, Kelly, RT, Kelman, Z, Kim, SH, Kuster, B, Rodriguez-Larrea, D, Lindsay, S, Maglia, G, Marcotte, EM, Marino, JP, Masselon, C, Mayer, M, Samaras, P, Sarthak, K, Sepiashvili, L, Stein, D, Wanunu, M, Wilhelm, M, Yin, P, Meller, A & Joo, C 2021, 'The emerging landscape of single-molecule protein sequencing technologies', Nature Methods, vol. 18, no. 6, pp. 604-617. https://doi.org/10.1038/s41592-021-01143-1

TY - JOUR

T1 - The emerging landscape of single-molecule protein sequencing technologies

AU - Alfaro, Javier Antonio

AU - Bohländer, Peggy

AU - Dai, Mingjie

AU - Filius, Mike

AU - Howard, Cecil J.

AU - van Kooten, Xander F.

AU - Ohayon, Shilo

AU - Pomorski, Adam

AU - Schmid, Sonja

AU - Aksimentiev, Aleksei

AU - Anslyn, Eric V.

AU - Bedran, Georges

AU - Cao, Chan

AU - Chinappi, Mauro

AU - Coyaud, Etienne

AU - Dekker, Cees

AU - Dittmar, Gunnar

AU - Drachman, Nicholas

AU - Eelkema, Rienk

AU - Goodlett, David

AU - Hentz, Sébastien

AU - Kalathiya, Umesh

AU - Kelleher, Neil L.

AU - Kelly, Ryan T.

AU - Kelman, Zvi

AU - Kim, Sung Hyun

AU - Kuster, Bernhard

AU - Rodriguez-Larrea, David

AU - Lindsay, Stuart

AU - Maglia, Giovanni

AU - Marcotte, Edward M.

AU - Marino, John P.

AU - Masselon, Christophe

AU - Mayer, Michael

AU - Samaras, Patroklos

AU - Sarthak, Kumar

AU - Sepiashvili, Lusia

AU - Stein, Derek

AU - Wanunu, Meni

AU - Wilhelm, Mathias

AU - Yin, Peng

AU - Meller, Amit

AU - Joo, Chirlmin

PY - 2021/6

Y1 - 2021/6

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85107573284

U2 - 10.1038/s41592-021-01143-1

DO - 10.1038/s41592-021-01143-1

M3 - Review article

C2 - 34099939

AN - SCOPUS:85107573284

SN - 1548-7091

VL - 18

SP - 604

EP - 617

JO - Nature Methods

JF - Nature Methods

IS - 6

ER -

The emerging landscape of single-molecule protein sequencing technologies

Abstract

Bibliographical note

Access to Document

Fingerprint

Cite this