Literature DB >> 30375851

Integrated Proteome Analysis Device for Fast Single-Cell Protein Profiling.

Xi Shao1, Xuantang Wang1, Sheng Guan1, Haizhu Lin1, Guoquan Yan1, Mingxia Gao1, Chunhui Deng1, Xiangmin Zhang1.   

Abstract

In our previous work, we have demonstrated an integrated proteome analysis device (iPAD-100) to analyze proteomes from 100 cells. (1) In this work, for the first time, a novel integrated device for single-cell analysis (iPAD-1) was developed to profile proteins in a single cell within 1 h. In the iPAD-1, a selected single cell was directly sucked into a 22 μm i.d. capillary. Then the cell lysis and protein digestion were simultaneously accomplished in the capillary in a 2 nL volume, which could prevent protein loss and excessive dilution. Digestion was accelerated by using elevated temperature with ultrasonication. The whole time of cell treatment was 30 min. After that, single-cell digest peptides were transferred into an LC column directly through a true zero dead volume union, to minimize protein transfer loss. A homemade 22 μm i.d. nano-LC packing column with 3 μm i.d. ESI tip was used in the device to achieve ultrasensitive detection. A 30 min elution program was applied to analysis of the single-cell proteome. Therefore, the total time needed for a single-cell analysis was only 1 h. In an analysis of 10 single HeLa cells, a maximum of 328 proteins were identified in one cell by using an Orbitrap Fusion Tribrid MS instrument, and the detection limit was estimated at around 1.7-170 zmol. Such a sensitivity of the iPAD-1 was ∼120-fold higher than that of our previously developed iPAD-100 system. (1) Prominent cellular heterogeneity in protein expressive profiling was observed. Furthermore, we roughly estimated the phases of the cell cycle of tested HeLa cells by the amount of core histone proteins.

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Year:  2018        PMID: 30375851     DOI: 10.1021/acs.analchem.8b03692

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


  23 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.  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 3.  Single-cell Proteomics: Progress and Prospects.

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

4.  Carrier-assisted One-pot Sample Preparation for Targeted Proteomics Analysis of Small Numbers of Human Cells.

Authors:  Kendall Martin; Tong Zhang; Pengfei Zhang; William B Chrisler; Fillmore L Thomas; Fen Liu; Tao Liu; Wei-Jun Qian; Richard D Smith; Tujin Shi
Journal:  J Vis Exp       Date:  2020-11-06       Impact factor: 1.355

5.  Single Cell Proteomics by Data-Independent Acquisition To Study Embryonic Asymmetry in Xenopus laevis.

Authors:  Anumita Saha-Shah; Melody Esmaeili; Simone Sidoli; Hyojeong Hwang; Jing Yang; Peter S Klein; Benjamin A Garcia
Journal:  Anal Chem       Date:  2019-06-27       Impact factor: 6.986

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.  DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.

Authors:  R Gray Huffman; Albert Chen; Harrison Specht; Nikolai Slavov
Journal:  J Proteome Res       Date:  2019-05-28       Impact factor: 4.466

8.  Deciphering Metabolic Heterogeneity by Single-Cell Analysis.

Authors:  Tom M J Evers; Mazène Hochane; Sander J Tans; Ron M A Heeren; Stefan Semrau; Peter Nemes; Alireza Mashaghi
Journal:  Anal Chem       Date:  2019-10-08       Impact factor: 6.986

9.  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

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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