Literature DB >> 31509397

High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform.

Maowei Dou1, Geremy Clair2, Chia-Feng Tsai2, Kerui Xu1, William B Chrisler2, Ryan L Sontag2, Rui Zhao1, Ronald J Moore2, Tao Liu2, Ljiljana Pasa-Tolic1, Richard D Smith2, Tujin Shi2, Joshua N Adkins2, Wei-Jun Qian2, Ryan T Kelly1,3, Charles Ansong2, Ying Zhu1.   

Abstract

Effective extension of mass spectrometry-based proteomics to single cells remains challenging. Herein we combined microfluidic nanodroplet technology with tandem mass tag (TMT) isobaric labeling to significantly improve analysis throughput and proteome coverage for single mammalian cells. Isobaric labeling facilitated multiplex analysis of single cell-sized protein quantities to a depth of ∼1 600 proteins with a median CV of 10.9% and correlation coefficient of 0.98. To demonstrate in-depth high throughput single cell analysis, the platform was applied to measure protein expression in 72 single cells from three murine cell populations (epithelial, immune, and endothelial cells) in <2 days instrument time with over 2 300 proteins identified. Principal component analysis grouped the single cells into three distinct populations based on protein expression with each population characterized by well-known cell-type specific markers. Our platform enables high throughput and unbiased characterization of single cell heterogeneity at the proteome level.

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Year:  2019        PMID: 31509397      PMCID: PMC7192326          DOI: 10.1021/acs.analchem.9b03349

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  52 in total

1.  Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS.

Authors:  Andrew Thompson; Jürgen Schäfer; Karsten Kuhn; Stefan Kienle; Josef Schwarz; Günter Schmidt; Thomas Neumann; R Johnstone; A Karim A Mohammed; Christian Hamon
Journal:  Anal Chem       Date:  2003-04-15       Impact factor: 6.986

2.  The sva package for removing batch effects and other unwanted variation in high-throughput experiments.

Authors:  Jeffrey T Leek; W Evan Johnson; Hilary S Parker; Andrew E Jaffe; John D Storey
Journal:  Bioinformatics       Date:  2012-01-17       Impact factor: 6.937

Review 3.  New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells.

Authors:  Sneha P Couvillion; Ying Zhu; Gabe Nagy; Joshua N Adkins; Charles Ansong; Ryan S Renslow; Paul D Piehowski; Yehia M Ibrahim; Ryan T Kelly; Thomas O Metz
Journal:  Analyst       Date:  2019-01-28       Impact factor: 4.616

4.  Combined tissue and fluid proteomics with Tandem Mass Tags to identify low-abundance protein biomarkers of disease in peripheral body fluid: An Alzheimer's Disease case study.

Authors:  Claire L Russell; Amanda Heslegrave; Vikram Mitra; Henrik Zetterberg; Jennifer M Pocock; Malcolm A Ward; Ian Pike
Journal:  Rapid Commun Mass Spectrom       Date:  2017-01-30       Impact factor: 2.419

Review 5.  Single-Cell Mass Spectrometry Approaches to Explore Cellular Heterogeneity.

Authors:  Linwen Zhang; Akos Vertes
Journal:  Angew Chem Int Ed Engl       Date:  2018-03-13       Impact factor: 15.336

6.  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

Review 7.  The immunological functions of saposins.

Authors:  Alexandre Darmoise; Patrick Maschmeyer; Florian Winau
Journal:  Adv Immunol       Date:  2010       Impact factor: 3.543

8.  Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations.

Authors:  Nicola K Wilson; David G Kent; Florian Buettner; Mona Shehata; Iain C Macaulay; Fernando J Calero-Nieto; Manuel Sánchez Castillo; Caroline A Oedekoven; Evangelia Diamanti; Reiner Schulte; Chris P Ponting; Thierry Voet; Carlos Caldas; John Stingl; Anthony R Green; Fabian J Theis; Berthold Göttgens
Journal:  Cell Stem Cell       Date:  2015-05-21       Impact factor: 24.633

9.  MS-GF+ makes progress towards a universal database search tool for proteomics.

Authors:  Sangtae Kim; Pavel A Pevzner
Journal:  Nat Commun       Date:  2014-10-31       Impact factor: 14.919

10.  Ezrin is concentrated in the apical microvilli of a wide variety of epithelial cells whereas moesin is found primarily in endothelial cells.

Authors:  M Berryman; Z Franck; A Bretscher
Journal:  J Cell Sci       Date:  1993-08       Impact factor: 5.285

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  33 in total

1.  Automated Coupling of Nanodroplet Sample Preparation with Liquid Chromatography-Mass Spectrometry for High-Throughput Single-Cell Proteomics.

Authors:  Sarah M Williams; Andrey V Liyu; Chia-Feng Tsai; Ronald J Moore; Daniel J Orton; William B Chrisler; Matthew J Gaffrey; Tao Liu; Richard D Smith; Ryan T Kelly; Ljiljana Pasa-Tolic; Ying Zhu
Journal:  Anal Chem       Date:  2020-07-22       Impact factor: 6.986

Review 2.  Single-cell Proteomics: Progress and Prospects.

Authors:  Ryan T Kelly
Journal:  Mol Cell Proteomics       Date:  2020-08-26       Impact factor: 5.911

3.  Improved Single-Cell Proteome Coverage Using Narrow-Bore Packed NanoLC Columns and Ultrasensitive Mass Spectrometry.

Authors:  Yongzheng Cong; Yiran Liang; Khatereh Motamedchaboki; Romain Huguet; Thy Truong; Rui Zhao; Yufeng Shen; Daniel Lopez-Ferrer; Ying Zhu; Ryan T Kelly
Journal:  Anal Chem       Date:  2020-01-21       Impact factor: 6.986

Review 4.  Cell Separations and Sorting.

Authors:  Malgorzata A Witek; Ian M Freed; Steven A Soper
Journal:  Anal Chem       Date:  2019-12-20       Impact factor: 6.986

Review 5.  Discovering the landscape of protein modifications.

Authors:  E Keith Keenan; Derek K Zachman; Matthew D Hirschey
Journal:  Mol Cell       Date:  2021-04-01       Impact factor: 17.970

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.  Best Practices and Progress in Precision-Cut Liver Slice Cultures.

Authors:  Liza Dewyse; Hendrik Reynaert; Leo A van Grunsven
Journal:  Int J Mol Sci       Date:  2021-07-01       Impact factor: 5.923

8.  Quantitative single-cell proteomics as a tool to characterize cellular hierarchies.

Authors:  Erwin M Schoof; Benjamin Furtwängler; Nil Üresin; Nicolas Rapin; Simonas Savickas; Coline Gentil; Eric Lechman; Ulrich Auf dem Keller; John E Dick; Bo T Porse
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

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.  Facile One-Pot Nanoproteomics for Label-Free Proteome Profiling of 50-1000 Mammalian Cells.

Authors:  Kendall Martin; Tong Zhang; Tai-Tu Lin; Amber N Habowski; Rui Zhao; Chia-Feng Tsai; William B Chrisler; Ryan L Sontag; Daniel J Orton; Yong-Jie Lu; Karin D Rodland; Bin Yang; Tao Liu; Richard D Smith; Wei-Jun Qian; Marian L Waterman; H Steven Wiley; Tujin Shi
Journal:  J Proteome Res       Date:  2021-08-05       Impact factor: 4.466

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