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Items: 1 to 20 of 29

1.

A conserved signaling network monitors delivery of sphingolipids to the plasma membrane in budding yeast.

Clarke J, Dephoure N, Horecka I, Gygi S, Kellogg D.

Mol Biol Cell. 2017 Oct 1;28(20):2589-2599. doi: 10.1091/mbc.E17-01-0081. Epub 2017 Aug 9.

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Mercury alters B-cell protein phosphorylation profiles.

Caruthers NJ, Stemmer PM, Shin N, Dombkowski A, Caruso JA, Gill R, Rosenspire A.

J Proteome Res. 2014 Feb 7;13(2):496-505. doi: 10.1021/pr400657k. Epub 2013 Dec 4.

5.

Neutron encoded labeling for peptide identification.

Rose CM, Merrill AE, Bailey DJ, Hebert AS, Westphall MS, Coon JJ.

Anal Chem. 2013 May 21;85(10):5129-37. doi: 10.1021/ac400476w. Epub 2013 May 2.

6.

Data analysis strategy for maximizing high-confidence protein identifications in complex proteomes such as human tumor secretomes and human serum.

Wang H, Tang HY, Tan GC, Speicher DW.

J Proteome Res. 2011 Nov 4;10(11):4993-5005. doi: 10.1021/pr200464c. Epub 2011 Oct 18.

7.

A face in the crowd: recognizing peptides through database search.

Eng JK, Searle BC, Clauser KR, Tabb DL.

Mol Cell Proteomics. 2011 Nov;10(11):R111.009522. doi: 10.1074/mcp.R111.009522. Epub 2011 Aug 29. Review.

8.

Importance of manual validation for the identification of phosphopeptides using a linear ion trap mass spectrometer.

Goldstrohm DA, Broeckling CD, Prenni JE, Curthoys NP.

J Biomol Tech. 2011 Apr;22(1):10-20.

9.

Assigning spectrum-specific P-values to protein identifications by mass spectrometry.

Spirin V, Shpunt A, Seebacher J, Gentzel M, Shevchenko A, Gygi S, Sunyaev S.

Bioinformatics. 2011 Apr 15;27(8):1128-34. doi: 10.1093/bioinformatics/btr089. Epub 2011 Feb 23.

10.

Integrated post-experiment monoisotopic mass refinement: an integrated approach to accurately assign monoisotopic precursor masses to tandem mass spectrometric data.

Jung HJ, Purvine SO, Kim H, Petyuk VA, Hyung SW, Monroe ME, Mun DG, Kim KC, Park JM, Kim SJ, Tolic N, Slysz GW, Moore RJ, Zhao R, Adkins JN, Anderson GA, Lee H, Camp DG 2nd, Yu MH, Smith RD, Lee SW.

Anal Chem. 2010 Oct 15;82(20):8510-8. doi: 10.1021/ac101388b.

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In-depth analyses of kinase-dependent tyrosine phosphoproteomes based on metal ion-functionalized soluble nanopolymers.

Iliuk AB, Martin VA, Alicie BM, Geahlen RL, Tao WA.

Mol Cell Proteomics. 2010 Oct;9(10):2162-72. doi: 10.1074/mcp.M110.000091. Epub 2010 Jun 17.

13.

Methods for investigation of targeted kinase inhibitor therapy using chemical proteomics and phosphorylation profiling.

Fang B, Haura EB, Smalley KS, Eschrich SA, Koomen JM.

Biochem Pharmacol. 2010 Sep 1;80(5):739-47. doi: 10.1016/j.bcp.2010.03.027. Epub 2010 Mar 31. Review.

14.

Sub-part-per-million precursor and product mass accuracy for high-throughput proteomics on an electron transfer dissociation-enabled orbitrap mass spectrometer.

Wenger CD, McAlister GC, Xia Q, Coon JJ.

Mol Cell Proteomics. 2010 May;9(5):754-63. doi: 10.1074/mcp.M900541-MCP200. Epub 2010 Feb 2.

15.

Understanding protein phosphorylation on a systems level.

Lin J, Xie Z, Zhu H, Qian J.

Brief Funct Genomics. 2010 Jan;9(1):32-42. doi: 10.1093/bfgp/elp045. Epub 2010 Jan 7. Review.

16.

Phosphoproteomics for the masses.

Grimsrud PA, Swaney DL, Wenger CD, Beauchene NA, Coon JJ.

ACS Chem Biol. 2010 Jan 15;5(1):105-19. doi: 10.1021/cb900277e. Review.

17.

Target-decoy search strategy for mass spectrometry-based proteomics.

Elias JE, Gygi SP.

Methods Mol Biol. 2010;604:55-71. doi: 10.1007/978-1-60761-444-9_5.

18.

Analysis of tandem mass spectra by FTMS for improved large-scale proteomics with superior protein quantification.

McAlister GC, Phanstiel D, Wenger CD, Lee MV, Coon JJ.

Anal Chem. 2010 Jan 1;82(1):316-22. doi: 10.1021/ac902005s.

19.

MAZIE: a mass and charge inference engine to enhance database searching of tandem mass spectra.

Victor KG, Murgai M, Lyons CE, Templeton TA, Moshnikov SA, Templeton DJ.

J Am Soc Mass Spectrom. 2010 Jan;21(1):80-7. doi: 10.1016/j.jasms.2009.09.007. Epub 2009 Sep 17.

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