Literature DB >> 29551058

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

Zi-Yi Li1, Min Huang2, Xiu-Kun Wang3, Ying Zhu1, Jin-Song Li3, Catherine C L Wong4,5,2, Qun Fang1.   

Abstract

Single cell proteomic analysis provides crucial information on cellular heterogeneity in biological systems. Herein, we describe a nanoliter-scale oil-air-droplet (OAD) chip for achieving multistep complex sample pretreatment and injection for single cell proteomic analysis in the shotgun mode. By using miniaturized stationary droplet microreaction and manipulation techniques, our system allows all sample pretreatment and injection procedures to be performed in a nanoliter-scale droplet with minimum sample loss and a high sample injection efficiency (>99%), thus substantially increasing the analytical sensitivity for single cell samples. We applied the present system in the proteomic analysis of 100 ± 10, 50 ± 5, 10, and 1 HeLa cell(s), and protein IDs of 1360, 612, 192, and 51 were identified, respectively. The OAD chip-based system was further applied in single mouse oocyte analysis, with 355 protein IDs identified at the single oocyte level, which demonstrated its special advantages of high enrichment of sequence coverage, hydrophobic proteins, and enzymatic digestion efficiency over the traditional in-tube system.

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Year:  2018        PMID: 29551058     DOI: 10.1021/acs.analchem.8b00661

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


  30 in total

Review 1.  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

2.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

3.  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 4.  Nano-liquid chromatography-mass spectrometry and recent applications in omics investigations.

Authors:  Katherine L Sanders; James L Edwards
Journal:  Anal Methods       Date:  2020-09-09       Impact factor: 2.896

Review 5.  Single-cell Proteomics: Progress and Prospects.

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

6.  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

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

Authors:  Maowei Dou; Geremy Clair; Chia-Feng Tsai; Kerui Xu; William B Chrisler; Ryan L Sontag; Rui Zhao; Ronald J Moore; Tao Liu; Ljiljana Pasa-Tolic; Richard D Smith; Tujin Shi; Joshua N Adkins; Wei-Jun Qian; Ryan T Kelly; Charles Ansong; Ying Zhu
Journal:  Anal Chem       Date:  2019-09-25       Impact factor: 6.986

8.  Protein and Proteome Measurements with Microfluidic Chips.

Authors:  Iulia M Lazar; Nicholas S Gulakowski; Alexandru C Lazar
Journal:  Anal Chem       Date:  2019-11-12       Impact factor: 6.986

9.  Simple and Efficient Microsolid-Phase Extraction Tip-Based Sample Preparation Workflow to Enable Sensitive Proteomic Profiling of Limited Samples (200 to 10,000 Cells).

Authors:  James C Kostas; Michal Greguš; Jan Schejbal; Somak Ray; Alexander R Ivanov
Journal:  J Proteome Res       Date:  2021-02-24       Impact factor: 4.466

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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