Literature DB >> 32847821

Single-cell Proteomics: Progress and Prospects.

Ryan T Kelly1.   

Abstract

MS-based proteome profiling has become increasingly comprehensive and quantitative, yet a persistent shortcoming has been the relatively large samples required to achieve an in-depth measurement. Such bulk samples, typically comprising thousands of cells or more, provide a population average and obscure important cellular heterogeneity. Single-cell proteomics capabilities have the potential to transform biomedical research and enable understanding of biological systems with a new level of granularity. Recent advances in sample processing, separations and MS instrumentation now make it possible to quantify >1000 proteins from individual mammalian cells, a level of coverage that required an input of thousands of cells just a few years ago. This review discusses important factors and parameters that should be optimized across the workflow for single-cell and other low-input measurements. It also highlights recent developments that have advanced the field and opportunities for further development.
© 2020 Kelly.

Entities:  

Keywords:  Cell biology; Cell sorting; FAIMS; Label-free quantification; Mass Spectrometry; Tandem Mass Spectrometry; Tissues*; nanoLC; nanoPOTS; single-cell; ultrasensitive

Mesh:

Substances:

Year:  2020        PMID: 32847821      PMCID: PMC7664119          DOI: 10.1074/mcp.R120.002234

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  71 in total

1.  Universal sample preparation method for proteome analysis.

Authors:  Jacek R Wiśniewski; Alexandre Zougman; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2009-04-19       Impact factor: 28.547

2.  Comparison of Protein Quantification in a Complex Background by DIA and TMT Workflows with Fixed Instrument Time.

Authors:  Jan Muntel; Joanna Kirkpatrick; Roland Bruderer; Ting Huang; Olga Vitek; Alessandro Ori; Lukas Reiter
Journal:  J Proteome Res       Date:  2019-02-20       Impact factor: 4.466

3.  The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.

Authors:  Stefka Tyanova; Tikira Temu; Juergen Cox
Journal:  Nat Protoc       Date:  2016-10-27       Impact factor: 13.491

Review 4.  Sessile droplets for chemical and biological assays.

Authors:  Jose L Garcia-Cordero; Z Hugh Fan
Journal:  Lab Chip       Date:  2017-06-27       Impact factor: 6.799

5.  Nanoliter-Scale Oil-Air-Droplet Chip-Based Single Cell Proteomic Analysis.

Authors:  Zi-Yi Li; Min Huang; Xiu-Kun Wang; Ying Zhu; Jin-Song Li; Catherine C L Wong; Qun Fang
Journal:  Anal Chem       Date:  2018-03-27       Impact factor: 6.986

6.  BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes.

Authors:  Florian Meier; Philipp E Geyer; Sebastian Virreira Winter; Juergen Cox; Matthias Mann
Journal:  Nat Methods       Date:  2018-05-07       Impact factor: 28.547

7.  Over 4100 protein identifications from a Xenopus laevis fertilized egg digest using reversed-phase chromatographic prefractionation followed by capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry analysis.

Authors:  Xiaojing Yan; Liangliang Sun; Guijie Zhu; Olivia F Cox; Norman J Dovichi
Journal:  Proteomics       Date:  2016-12       Impact factor: 3.984

8.  The ion funnel: theory, implementations, and applications.

Authors:  Ryan T Kelly; Aleksey V Tolmachev; Jason S Page; Keqi Tang; Richard D Smith
Journal:  Mass Spectrom Rev       Date:  2010 Mar-Apr       Impact factor: 10.946

9.  Single-Cell Mass Spectrometry for Discovery Proteomics: Quantifying Translational Cell Heterogeneity in the 16-Cell Frog (Xenopus) Embryo.

Authors:  Camille Lombard-Banek; Sally A Moody; Peter Nemes
Journal:  Angew Chem Int Ed Engl       Date:  2016-01-12       Impact factor: 15.336

10.  A Compact Quadrupole-Orbitrap Mass Spectrometer with FAIMS Interface Improves Proteome Coverage in Short LC Gradients.

Authors:  Dorte B Bekker-Jensen; Ana Martínez-Val; Sophia Steigerwald; Patrick Rüther; Kyle L Fort; Tabiwang N Arrey; Alexander Harder; Alexander Makarov; Jesper V Olsen
Journal:  Mol Cell Proteomics       Date:  2020-02-12       Impact factor: 5.911

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  37 in total

Review 1.  Towards high throughput and high information coverage: advanced single-cell mass spectrometric techniques.

Authors:  Shuting Xu; Cheng Yang; Xiuping Yan; Huwei Liu
Journal:  Anal Bioanal Chem       Date:  2021-08-26       Impact factor: 4.142

2.  Photoredox-Catalyzed Decarboxylative C-Terminal Differentiation for Bulk- and Single-Molecule Proteomics.

Authors:  Le Zhang; Brendan M Floyd; Maheshwerreddy Chilamari; James Mapes; Jagannath Swaminathan; Steven Bloom; Edward M Marcotte; Eric V Anslyn
Journal:  ACS Chem Biol       Date:  2021-11-04       Impact factor: 5.100

Review 3.  Deciphering combinatorial post-translational modifications by top-down mass spectrometry.

Authors:  Jennifer S Brodbelt
Journal:  Curr Opin Chem Biol       Date:  2022-06-29       Impact factor: 8.972

Review 4.  Recent Advances in Molecular Diagnosis of Pulmonary Fibrosis for Precision Medicine.

Authors:  Mi Ho Jeong; Hongwei Han; David Lagares; Hyungsoon Im
Journal:  ACS Pharmacol Transl Sci       Date:  2022-07-20

5.  Optimizing Accuracy and Depth of Protein Quantification in Experiments Using Isobaric Carriers.

Authors:  Harrison Specht; Nikolai Slavov
Journal:  J Proteome Res       Date:  2020-11-14       Impact factor: 4.466

6.  Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling.

Authors:  Yiran Liang; Hayden Acor; Michaela A McCown; Andikan J Nwosu; Hannah Boekweg; Nathaniel B Axtell; Thy Truong; Yongzheng Cong; Samuel H Payne; Ryan T Kelly
Journal:  Anal Chem       Date:  2020-12-22       Impact factor: 6.986

Review 7.  New horizons in the stormy sea of multimodal single-cell data integration.

Authors:  Christopher A Jackson; Christine Vogel
Journal:  Mol Cell       Date:  2022-01-20       Impact factor: 17.970

Review 8.  Potentials of single-cell genomics in deciphering cellular phenotypes.

Authors:  Abbas Shojaee; Michelle Saavedra; Shao-Shan Carol Huang
Journal:  Curr Opin Plant Biol       Date:  2021-06-08       Impact factor: 9.396

9.  Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell.

Authors:  Yongzheng Cong; Khatereh Motamedchaboki; Santosh A Misal; Yiran Liang; Amanda J Guise; Thy Truong; Romain Huguet; Edward D Plowey; Ying Zhu; Daniel Lopez-Ferrer; Ryan T Kelly
Journal:  Chem Sci       Date:  2020-11-17       Impact factor: 9.825

10.  Proteomic Exploration of Plasma Exosomes and Other Small Extracellular Vesicles in Pediatric Hodgkin Lymphoma: A Potential Source of Biomarkers for Relapse Occurrence.

Authors:  Ombretta Repetto; Federica Lovisa; Caterina Elia; Daniel Enderle; Filippo Romanato; Salvatore Buffardi; Alessandra Sala; Marta Pillon; Agostino Steffan; Roberta Burnelli; Lara Mussolin; Maurizio Mascarin; Valli De Re
Journal:  Diagnostics (Basel)       Date:  2021-05-21
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