Literature DB >> 24083476

Integrated microscale analysis system for targeted liquid chromatography mass spectrometry proteomics on limited amounts of enriched cell populations.

Jeffrey G Martin1, Tomas Rejtar, Stephen A Martin.   

Abstract

Limited samples, such as those that are in vivo sourced via biopsy, are closely representative of biological systems and contain valuable information for drug discovery. However, these precious samples are often heterogeneous and require cellular prefractionation prior to proteomic analysis to isolate specific subpopulations of interest. Enriched cells from in vivo samples are often very limited (<10(4) cells) and pose a significant challenge to proteomic nanoliquid chromatography mass spectrometry (nanoLCMS) sample preparation. To enable the streamlined analysis of these limited samples, we have developed an online cell enrichment, microscale sample preparation, nanoLCMS proteomics workflow by integrating fluorescence activated cell sorting (FACS), focused ultrasonication, microfluidics, immobilized trypsin digestion, and nanoLCMS. To assess the performance of the online FACS-Chip-LCMS workflow, 5000 fluorescent labeled cells were enriched from a 5% heterogeneous cell population and processed for LCMS proteomics in less than 2 h. Within these 5000 enriched cells, 30 peptides corresponding to 17 proteins spanning more than 4 orders of magnitude of cellular abundance were quantified using a QExactive MS. The results from the online FACS-Chip-LCMS workflow starting from 5000 enriched cells were directly compared to results from a traditional macroscale sample preparation workflow starting from 2.0 × 10(6) cells. The microscale FACS-Chip-LCMS workflow demonstrated high cellular enrichment efficiency and high peptide recovery across the wide dynamic range of targeted peptides. Overall the microscale FACS-Chip-LCMS workflow has shown effectiveness in efficiently preparing limited amounts of FACS enriched cells in an online manner for proteomic LCMS.

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Year:  2013        PMID: 24083476     DOI: 10.1021/ac401937c

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


  7 in total

1.  An Integrated Platform for Isolation, Processing, and Mass Spectrometry-based Proteomic Profiling of Rare Cells in Whole Blood.

Authors:  Siyang Li; Brian D Plouffe; Arseniy M Belov; Somak Ray; Xianzhe Wang; Shashi K Murthy; Barry L Karger; Alexander R Ivanov
Journal:  Mol Cell Proteomics       Date:  2015-03-09       Impact factor: 5.911

2.  Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells.

Authors:  Kerui Xu; Yiran Liang; Paul D Piehowski; Maowei Dou; Kaitlynn C Schwarz; Rui Zhao; Ryan L Sontag; Ronald J Moore; Ying Zhu; Ryan T Kelly
Journal:  Anal Bioanal Chem       Date:  2018-11-20       Impact factor: 4.142

Review 3.  Emerging proteomic technologies for elucidating context-dependent cellular signaling events: A big challenge of tiny proportions.

Authors:  Sarah J Parker; Koen Raedschelders; Jennifer E Van Eyk
Journal:  Proteomics       Date:  2015-02-10       Impact factor: 3.984

4.  Efficient Microscale Basic Reverse Phase Peptide Fractionation for Global and Targeted Proteomics.

Authors:  Hyoung-Joo Lee; Hye-Jung Kim; Daniel C Liebler
Journal:  J Proteome Res       Date:  2016-06-13       Impact factor: 4.466

5.  Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry.

Authors:  Sabine Amon; Fabienne Meier-Abt; Ludovic C Gillet; Slavica Dimitrieva; Alexandre P A Theocharides; Markus G Manz; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2019-04-11       Impact factor: 5.911

Review 6.  The Intriguing Landscape of Single-Cell Protein Analysis.

Authors:  Haiyang Xie; Xianting Ding
Journal:  Adv Sci (Weinh)       Date:  2022-02-24       Impact factor: 17.521

7.  Proteomic identification of proliferation and progression markers in human polycythemia vera stem and progenitor cells.

Authors:  Ge Tan; Witold E Wolski; Sandra Kummer; Mara Hofstetter; Alexandre P A Theocharides; Markus G Manz; Ruedi Aebersold; Fabienne Meier-Abt
Journal:  Blood Adv       Date:  2022-06-14
  7 in total

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