Literature DB >> 20147306

Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

Brendan MacLean1, Daniela M Tomazela, Nicholas Shulman, Matthew Chambers, Gregory L Finney, Barbara Frewen, Randall Kern, David L Tabb, Daniel C Liebler, Michael J MacCoss.   

Abstract

SUMMARY: Skyline is a Windows client application for targeted proteomics method creation and quantitative data analysis. It is open source and freely available for academic and commercial use. The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM). Skyline supports using and creating MS/MS spectral libraries from a wide variety of sources to choose SRM filters and verify results based on previously observed ion trap data. Skyline exports transition lists to and imports the native output files from Agilent, Applied Biosystems, Thermo Fisher Scientific and Waters triple quadrupole instruments, seamlessly connecting mass spectrometer output back to the experimental design document. The fast and compact Skyline file format is easily shared, even for experiments requiring many sample injections. A rich array of graphs displays results and provides powerful tools for inspecting data integrity as data are acquired, helping instrument operators to identify problems early. The Skyline dynamic report designer exports tabular data from the Skyline document model for in-depth analysis with common statistical tools. AVAILABILITY: Single-click, self-updating web installation is available at http://proteome.gs.washington.edu/software/skyline. This web site also provides access to instructional videos, a support board, an issues list and a link to the source code project.

Mesh:

Year:  2010        PMID: 20147306      PMCID: PMC2844992          DOI: 10.1093/bioinformatics/btq054

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  Analysis of peptide MS/MS spectra from large-scale proteomics experiments using spectrum libraries.

Authors:  Barbara E Frewen; Gennifer E Merrihew; Christine C Wu; William Stafford Noble; Michael J MacCoss
Journal:  Anal Chem       Date:  2006-08-15       Impact factor: 6.986

2.  Label-free comparative analysis of proteomics mixtures using chromatographic alignment of high-resolution muLC-MS data.

Authors:  Gregory L Finney; Adele R Blackler; Michael R Hoopmann; Jesse D Canterbury; Christine C Wu; Michael J MacCoss
Journal:  Anal Chem       Date:  2008-01-12       Impact factor: 6.986

3.  Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.

Authors:  Terri A Addona; Susan E Abbatiello; Birgit Schilling; Steven J Skates; D R Mani; David M Bunk; Clifford H Spiegelman; Lisa J Zimmerman; Amy-Joan L Ham; Hasmik Keshishian; Steven C Hall; Simon Allen; Ronald K Blackman; Christoph H Borchers; Charles Buck; Helene L Cardasis; Michael P Cusack; Nathan G Dodder; Bradford W Gibson; Jason M Held; Tara Hiltke; Angela Jackson; Eric B Johansen; Christopher R Kinsinger; Jing Li; Mehdi Mesri; Thomas A Neubert; Richard K Niles; Trenton C Pulsipher; David Ransohoff; Henry Rodriguez; Paul A Rudnick; Derek Smith; David L Tabb; Tony J Tegeler; Asokan M Variyath; Lorenzo J Vega-Montoto; Asa Wahlander; Sofia Waldemarson; Mu Wang; Jeffrey R Whiteaker; Lei Zhao; N Leigh Anderson; Susan J Fisher; Daniel C Liebler; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Nat Biotechnol       Date:  2009-06-28       Impact factor: 54.908

4.  ProteoWizard: open source software for rapid proteomics tools development.

Authors:  Darren Kessner; Matt Chambers; Robert Burke; David Agus; Parag Mallick
Journal:  Bioinformatics       Date:  2008-07-07       Impact factor: 6.937

5.  An improved model for prediction of retention times of tryptic peptides in ion pair reversed-phase HPLC: its application to protein peptide mapping by off-line HPLC-MALDI MS.

Authors:  O V Krokhin; R Craig; V Spicer; W Ens; K G Standing; R C Beavis; J A Wilkins
Journal:  Mol Cell Proteomics       Date:  2004-07-06       Impact factor: 5.911

6.  Expediting the development of targeted SRM assays: using data from shotgun proteomics to automate method development.

Authors:  Amol Prakash; Daniela M Tomazela; Barbara Frewen; Brendan Maclean; Gennifer Merrihew; Scott Peterman; Michael J Maccoss
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

7.  The PeptideAtlas project.

Authors:  Frank Desiere; Eric W Deutsch; Nichole L King; Alexey I Nesvizhskii; Parag Mallick; Jimmy Eng; Sharon Chen; James Eddes; Sandra N Loevenich; Ruedi Aebersold
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

8.  MRMer, an interactive open source and cross-platform system for data extraction and visualization of multiple reaction monitoring experiments.

Authors:  Daniel B Martin; Ted Holzman; Damon May; Amelia Peterson; Ashley Eastham; Jimmy Eng; Martin McIntosh
Journal:  Mol Cell Proteomics       Date:  2008-07-18       Impact factor: 5.911

  8 in total
  1653 in total

1.  UBE2O remodels the proteome during terminal erythroid differentiation.

Authors:  Anthony T Nguyen; Miguel A Prado; Paul J Schmidt; Anoop K Sendamarai; Joshua T Wilson-Grady; Mingwei Min; Dean R Campagna; Geng Tian; Yuan Shi; Verena Dederer; Mona Kawan; Nathalie Kuehnle; Joao A Paulo; Yu Yao; Mitchell J Weiss; Monica J Justice; Steven P Gygi; Mark D Fleming; Daniel Finley
Journal:  Science       Date:  2017-08-04       Impact factor: 47.728

2.  Deep-Dive Targeted Quantification for Ultrasensitive Analysis of Proteins in Nondepleted Human Blood Plasma/Serum and Tissues.

Authors:  Song Nie; Tujin Shi; Thomas L Fillmore; Athena A Schepmoes; Heather Brewer; Yuqian Gao; Ehwang Song; Hui Wang; Karin D Rodland; Wei-Jun Qian; Richard D Smith; Tao Liu
Journal:  Anal Chem       Date:  2017-08-11       Impact factor: 6.986

3.  Targeted Mass Spectrometry Approach Enabled Discovery of O-Glycosylated Insulin and Related Signaling Peptides in Mouse and Human Pancreatic Islets.

Authors:  Qing Yu; Alejandra Canales; Matthew S Glover; Rahul Das; Xudong Shi; Yang Liu; Mark P Keller; Alan D Attie; Lingjun Li
Journal:  Anal Chem       Date:  2017-08-07       Impact factor: 6.986

4.  Accounting for population variation in targeted proteomics.

Authors:  Grant M Fujimoto; Matthew E Monroe; Larissa Rodriguez; Chaochao Wu; Brendan MacLean; Richard D Smith; Michael J MacCoss; Samuel H Payne
Journal:  J Proteome Res       Date:  2013-12-16       Impact factor: 4.466

5.  N-terminal protein acetylation by NatB modulates the levels of Nmnats, the NAD+ biosynthetic enzymes in Saccharomyces cerevisiae.

Authors:  Trevor Croft; Padmaja Venkatakrishnan; Christol James Theoga Raj; Benjamin Groth; Timothy Cater; Michelle R Salemi; Brett Phinney; Su-Ju Lin
Journal:  J Biol Chem       Date:  2020-04-16       Impact factor: 5.157

6.  Targeted Proteomic Analyses of Histone H4 Acetylation Changes Associated with Homologous-Recombination-Deficient High-Grade Serous Ovarian Carcinomas.

Authors:  Stefani N Thomas; Lijun Chen; Yang Liu; Naseruddin Höti; Hui Zhang
Journal:  J Proteome Res       Date:  2017-09-14       Impact factor: 4.466

7.  mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry.

Authors:  Guoshou Teo; Sinae Kim; Chih-Chiang Tsou; Ben Collins; Anne-Claude Gingras; Alexey I Nesvizhskii; Hyungwon Choi
Journal:  J Proteomics       Date:  2015-09-15       Impact factor: 4.044

8.  Engineering challenges for instrumenting and controlling integrated organ-on-chip systems.

Authors:  John P Wikswo; Frank E Block; David E Cliffel; Cody R Goodwin; Christina C Marasco; Dmitry A Markov; David L McLean; John A McLean; Jennifer R McKenzie; Ronald S Reiserer; Philip C Samson; David K Schaffer; Kevin T Seale; Stacy D Sherrod
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-01       Impact factor: 4.538

9.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

10.  A Targeted Proteomic Approach for Heat Shock Proteins Reveals DNAJB4 as a Suppressor for Melanoma Metastasis.

Authors:  Weili Miao; Lin Li; Yinsheng Wang
Journal:  Anal Chem       Date:  2018-05-11       Impact factor: 6.986

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