Literature DB >> 34297524

Nanoparticle-Aided Nanoreactor for Nanoproteomics.

Zhichang Yang1, Zhaoran Zhang2, Daoyang Chen1, Tian Xu1, Yuan Wang2, Liangliang Sun1.   

Abstract

Large-scale bottom-up proteomics of few even single cells is crucial for a better understanding of the roles played by cell-to-cell heterogeneity in disease and development. Novel proteomic methodologies with extremely high sensitivity are required for few even single-cell proteomics. Sample processing with high recovery and no contaminants is one key step. Here we developed a nanoparticle-aided nanoreactor for nanoproteomics (Nano3) technique for processing low-nanograms of mammalian cell proteins for proteome profiling. The Nano3 technique employed nanoparticles packed in a capillary channel to form a nanoreactor (≤30 nL) for concentrating, cleaning, and digesting proteins originally in a lysis buffer containing sodium dodecyl sulfate (SDS), followed by nanoRPLC-MS/MS analysis. The Nano3 method identified a 40-times higher number of proteins based on MS/MS from 2-ng mouse brain protein samples compared to the SP3 (single-pot solid-phase-enhanced sample preparation) method, which performed the sample processing using the nanoparticles in a 10 μL solution in an Eppendorf tube. The data indicates a drastically higher sample recovery of the Nano3 compared to the SP3 method for processing mass-limited proteome samples. In this pilot study, the Nano3 method was further applied in processing 10-1000 HeLa cells for bottom-up proteomics, producing 441 ± 263 (n = 4) (MS/MS) and 983 ± 292 (n = 4) [match between runs (MBR)+MS/MS] protein identifications from only 10 HeLa cells using a Q-Exactive HF mass spectrometer. The preliminary results render the Nano3 method a useful approach for processing few mammalian cells for proteome profiling.

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Year:  2021        PMID: 34297524      PMCID: PMC9563093          DOI: 10.1021/acs.analchem.1c01704

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   8.008


  44 in total

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Journal:  Anal Chem       Date:  2004-01-01       Impact factor: 6.986

2.  Rare cell proteomic reactor applied to stable isotope labeling by amino acids in cell culture (SILAC)-based quantitative proteomics study of human embryonic stem cell differentiation.

Authors:  Ruijun Tian; Shuai Wang; Fred Elisma; Li Li; Hu Zhou; Lisheng Wang; Daniel Figeys
Journal:  Mol Cell Proteomics       Date:  2010-06-08       Impact factor: 5.911

3.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

4.  Improved Nanoflow RPLC-CZE-MS/MS System with High Peak Capacity and Sensitivity for Nanogram Bottom-up Proteomics.

Authors:  Zhichang Yang; Xiaojing Shen; Daoyang Chen; Liangliang Sun
Journal:  J Proteome Res       Date:  2019-10-22       Impact factor: 4.466

5.  SubCellBarCode: Proteome-wide Mapping of Protein Localization and Relocalization.

Authors:  Lukas Minus Orre; Mattias Vesterlund; Yanbo Pan; Taner Arslan; Yafeng Zhu; Alejandro Fernandez Woodbridge; Oliver Frings; Erik Fredlund; Janne Lehtiö
Journal:  Mol Cell       Date:  2019-01-03       Impact factor: 17.970

Review 6.  The Human Transcription Factors.

Authors:  Samuel A Lambert; Arttu Jolma; Laura F Campitelli; Pratyush K Das; Yimeng Yin; Mihai Albu; Xiaoting Chen; Jussi Taipale; Timothy R Hughes; Matthew T Weirauch
Journal:  Cell       Date:  2018-02-08       Impact factor: 41.582

7.  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

8.  Carrier-Assisted Single-Tube Processing Approach for Targeted Proteomics Analysis of Low Numbers of Mammalian Cells.

Authors:  Pengfei Zhang; Matthew J Gaffrey; Ying Zhu; William B Chrisler; Thomas L Fillmore; Lian Yi; Carrie D Nicora; Tong Zhang; Huanming Wu; Jon Jacobs; Keqi Tang; Jacob Kagan; Sudhir Srivastava; Karin D Rodland; Wei-Jun Qian; Richard D Smith; Tao Liu; H Steven Wiley; Tujin Shi
Journal:  Anal Chem       Date:  2018-12-28       Impact factor: 6.986

9.  Deep proteome and transcriptome mapping of a human cancer cell line.

Authors:  Nagarjuna Nagaraj; Jacek R Wisniewski; Tamar Geiger; Juergen Cox; Martin Kircher; Janet Kelso; Svante Pääbo; Matthias Mann
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

10.  Nanodroplet processing platform for deep and quantitative proteome profiling of 10-100 mammalian cells.

Authors:  Ying Zhu; Paul D Piehowski; Rui Zhao; Jing Chen; Yufeng Shen; Ronald J Moore; Anil K Shukla; Vladislav A Petyuk; Martha Campbell-Thompson; Clayton E Mathews; Richard D Smith; Wei-Jun Qian; Ryan T Kelly
Journal:  Nat Commun       Date:  2018-02-28       Impact factor: 14.919

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  2 in total

1.  Separation methods in single-cell proteomics: RPLC or CE?

Authors:  Kellye A Cupp-Sutton; Mulin Fang; Si Wu
Journal:  Int J Mass Spectrom       Date:  2022-08-17       Impact factor: 1.934

2.  Well-Plate μFASP for Proteomic Analysis of Single Pancreatic Islets.

Authors:  Friederike A Sandbaumhüter; Mariya Nezhyva; Olle Eriksson; Adam Engberg; Johan Kreuger; Per E Andrén; Erik T Jansson
Journal:  J Proteome Res       Date:  2022-03-16       Impact factor: 4.466

  2 in total

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