Literature DB >> 21696214

Highly sensitive proteome analysis of FACS-sorted adult colon stem cells.

Serena Di Palma1, Daniel Stange, Marc van de Wetering, Hans Clevers, Albert J R Heck, Shabaz Mohammed.   

Abstract

In proteomics, multidimensional liquid chromatography combined with mass spectrometry has become a standard technique to reduce sample complexity and tackle the vast dynamic range. Such fractionation is necessary to obtain a comprehensive analysis of biological samples such as tissues and cell lines. However, extensive fractionation comes at the expense of sample losses, hampering the analysis of limited material. We previously described a highly sensitive multidimensional chromatographic strategy based on a combination of hydrophilic interaction liquid chromatography and reversed phase chromatography, which allows proteomic analysis with minimal sample losses. Here we apply this strategy to the analysis of a limited number of FACS-sorted colon stem cells extracted from mouse intestine, obtaining a proteome coverage comparable to current methods that generally require 100-fold more starting material. We propose that this alternative multidimensional chromatographic technology will find ample application such as in the analysis of distinct cellular populations obtained by laser microdissection.

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Year:  2011        PMID: 21696214     DOI: 10.1021/pr200367p

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  22 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

Review 2.  Next-generation proteomics: towards an integrative view of proteome dynamics.

Authors:  A F Maarten Altelaar; Javier Munoz; Albert J R Heck
Journal:  Nat Rev Genet       Date:  2012-12-04       Impact factor: 53.242

3.  ZIC-cHILIC as a fractionation method for sensitive and powerful shotgun proteomics.

Authors:  Serena Di Palma; Shabaz Mohammed; Albert J R Heck
Journal:  Nat Protoc       Date:  2012-10-25       Impact factor: 13.491

4.  Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Authors:  Robert Cunningham; Di Ma; Lingjun Li
Journal:  Front Biol (Beijing)       Date:  2012-08-01

5.  Online nanoflow reversed phase-strong anion exchange-reversed phase liquid chromatography-tandem mass spectrometry platform for efficient and in-depth proteome sequence analysis of complex organisms.

Authors:  Feng Zhou; Timothy W Sikorski; Scott B Ficarro; James T Webber; Jarrod A Marto
Journal:  Anal Chem       Date:  2011-08-18       Impact factor: 6.986

6.  Streamlined Protocol for Deep Proteomic Profiling of FAC-sorted Cells and Its Application to Freshly Isolated Murine Immune Cells.

Authors:  Samuel A Myers; Andrew Rhoads; Alexandra R Cocco; Ryan Peckner; Adam L Haber; Lawrence D Schweitzer; Karsten Krug; D R Mani; Karl R Clauser; Orit Rozenblatt-Rosen; Nir Hacohen; Aviv Regev; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2019-02-21       Impact factor: 5.911

Review 7.  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

Review 8.  High sensitivity capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry for the rapid analysis of complex proteomes.

Authors:  Liangliang Sun; Guijie Zhu; Xiaojing Yan; Norman J Dovichi
Journal:  Curr Opin Chem Biol       Date:  2013-08-01       Impact factor: 8.822

Review 9.  Technologies for systems-level analysis of specific cell types in plants.

Authors:  Dongxue Wang; E Shannon Mills; Roger B Deal
Journal:  Plant Sci       Date:  2012-08-30       Impact factor: 4.729

10.  Online nanoscale ERLIC-MS outperforms RPLC-MS for shotgun proteomics in complex mixtures.

Authors:  Ebbing P de Jong; Timothy J Griffin
Journal:  J Proteome Res       Date:  2012-09-14       Impact factor: 4.466

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