Literature DB >> 33649493

Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics.

Chia-Feng Tsai1, Pengfei Zhang1,2, David Scholten3, Kendall Martin1, Yi-Ting Wang1, Rui Zhao4, William B Chrisler1, Dhwani B Patel3, Maowei Dou4, Yuzhi Jia3, Carolina Reduzzi5, Xia Liu3, Ronald J Moore1, Kristin E Burnum-Johnson1, Miao-Hsia Lin6, Chuan-Chih Hsu7, Jon M Jacobs1, Jacob Kagan8, Sudhir Srivastava8, Karin D Rodland1, H Steven Wiley4, Wei-Jun Qian1, Richard D Smith1, Ying Zhu4, Massimo Cristofanilli5,9, Tao Liu10, Huiping Liu11,12,13, Tujin Shi14.   

Abstract

Large numbers of cells are generally required for quantitative global proteome profiling due to surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible for rare cell populations (e.g., circulating tumor cells (CTCs)). Here we report a surfactant-assisted one-pot sample preparation coupled with mass spectrometry (MS) method termed SOP-MS for label-free global single-cell proteomics. SOP-MS capitalizes on the combination of a MS-compatible nonionic surfactant, n-Dodecyl-β-D-maltoside, and hydrophobic surface-based low-bind tubes or multi-well plates for 'all-in-one' one-pot sample preparation. This 'all-in-one' method including elimination of all sample transfer steps maximally reduces surface adsorption losses for effective processing of single cells, thus improving detection sensitivity for single-cell proteomics. This method allows convenient label-free quantification of hundreds of proteins from single human cells and ~1200 proteins from small tissue sections (close to ~20 cells). When applied to a patient CTC-derived xenograft (PCDX) model at the single-cell resolution, SOP-MS can reveal distinct protein signatures between primary tumor cells and early metastatic lung cells, which are related to the selection pressure of anti-tumor immunity during breast cancer metastasis. The approach paves the way for routine, precise, quantitative single-cell proteomics.

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Year:  2021        PMID: 33649493      PMCID: PMC7921383          DOI: 10.1038/s42003-021-01797-9

Source DB:  PubMed          Journal:  Commun Biol        ISSN: 2399-3642


  70 in total

1.  New frontiers for mass spectrometry based upon structures for lossless ion manipulations.

Authors:  Yehia M Ibrahim; Ahmed M Hamid; Liulin Deng; Sandilya V B Garimella; Ian K Webb; Erin S Baker; Richard D Smith
Journal:  Analyst       Date:  2017-03-27       Impact factor: 4.616

2.  Proteomic Analysis of Single Mammalian Cells Enabled by Microfluidic Nanodroplet Sample Preparation and Ultrasensitive NanoLC-MS.

Authors:  Ying Zhu; Geremy Clair; William B Chrisler; Yufeng Shen; Rui Zhao; Anil K Shukla; Ronald J Moore; Ravi S Misra; Gloria S Pryhuber; Richard D Smith; Charles Ansong; Ryan T Kelly
Journal:  Angew Chem Int Ed Engl       Date:  2018-06-14       Impact factor: 15.336

3.  Circulating tumor cells, disease progression, and survival in metastatic breast cancer.

Authors:  Massimo Cristofanilli; G Thomas Budd; Matthew J Ellis; Alison Stopeck; Jeri Matera; M Craig Miller; James M Reuben; Gerald V Doyle; W Jeffrey Allard; Leon W M M Terstappen; Daniel F Hayes
Journal:  N Engl J Med       Date:  2004-08-19       Impact factor: 91.245

4.  Cell number and cell characteristics of the normal human lung.

Authors:  J D Crapo; B E Barry; P Gehr; M Bachofen; E R Weibel
Journal:  Am Rev Respir Dis       Date:  1982-08

Review 5.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

6.  Single Cell Proteomics Using Frog (Xenopus laevis) Blastomeres Isolated from Early Stage Embryos, Which Form a Geometric Progression in Protein Content.

Authors:  Liangliang Sun; Kyle M Dubiak; Elizabeth H Peuchen; Zhenbin Zhang; Guijie Zhu; Paul W Huber; Norman J Dovichi
Journal:  Anal Chem       Date:  2016-06-22       Impact factor: 6.986

Review 7.  Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics.

Authors:  Tujin Shi; Dian Su; Tao Liu; Keqi Tang; David G Camp; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

8.  Single-Cell Mass Spectrometry for Discovery Proteomics: Quantifying Translational Cell Heterogeneity in the 16-Cell Frog (Xenopus) Embryo.

Authors:  Camille Lombard-Banek; Sally A Moody; Peter Nemes
Journal:  Angew Chem Int Ed Engl       Date:  2016-01-12       Impact factor: 15.336

9.  Circulating tumor cell clusters are oligoclonal precursors of breast cancer metastasis.

Authors:  Nicola Aceto; Aditya Bardia; David T Miyamoto; Maria C Donaldson; Ben S Wittner; Joel A Spencer; Min Yu; Adam Pely; Amanda Engstrom; Huili Zhu; Brian W Brannigan; Ravi Kapur; Shannon L Stott; Toshi Shioda; Sridhar Ramaswamy; David T Ting; Charles P Lin; Mehmet Toner; Daniel A Haber; Shyamala Maheswaran
Journal:  Cell       Date:  2014-08-28       Impact factor: 41.582

10.  Expression of small breast epithelial mucin (SBEM) protein in tissue microarrays (TMAs) of primary invasive breast cancers.

Authors:  G P Skliris; F Hubé; I Gheorghiu; M M Mutawe; C Penner; P H Watson; L C Murphy; E Leygue; Y Myal
Journal:  Histopathology       Date:  2008-02       Impact factor: 5.087

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Review 2.  Better together: circulating tumor cell clustering in metastatic cancer.

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Journal:  Trends Cancer       Date:  2021-09-01

3.  Water Droplet-in-Oil Digestion Method for Single-Cell Proteomics.

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Review 4.  Phase 2 of extracellular RNA communication consortium charts next-generation approaches for extracellular RNA research.

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5.  Ablating Lgr5-expressing prostatic stromal cells activates the ERK-mediated mechanosensory signaling and disrupts prostate tissue homeostasis.

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

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  6 in total

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