The Proteome Discovery Pipeline – A Data Analysis Pipeline for Mass Spectrometry-Based Differential Proteomics Discovery

نویسندگان

  • Catherine P. Riley
  • Erik S. Gough
  • Jing He
  • Shrinivas S. Jandhyala
  • Brad Kennedy
  • Seza Orcun
  • Mourad Ouzzani
  • Charles Buck
  • Ali M. Roumani
  • Xiang Zhang
چکیده

Proteomics approaches enable interrogation of large numbers of proteins to provide a more comprehensive understanding of biological systems. High throughput proteomics typically utilizes liquid chromatography – mass spectrometry technology for data acquisition. Bioinformatic analysis tools are essential to manage and mine resulting high volume proteomics data sets. Data analysis is a current bottleneck for many proteomics researchers because complete and freely accessible already-developed systems are not available. In addition, most analysis systems require experienced bioinformatician input immediately upon data acquisition. For proteomics to achieve greatest impact in biology, data analysis must be more efficient and effective. We present the Proteome Discovery Pipeline (PDP), a web-based analysis platform that provides proteomics data analysis without requirement for specialized hardware or input from bioinformatics specialists for initial data analyses. Functionalities of the PDP include spectrum visualization, deconvolution, alignment, normalization, statistical significance tests, and pattern recognition. The PDP provides proteomic researchers with a user-friendly web-based data analysis package that can handle multiple file formats and facilitates data analysis from multiple proteomics technology platforms. The system is flexible and extensible to enable further development. In this paper the PDP development is described and the system capabilities are illustrated through a case study of human plasma proteomics data analysis.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Design and Analysis of Quantitative Differential Proteomics Investigations Using LC-MS Technology

Liquid chromatography-mass spectrometry (LC-MS)-based proteomics is becoming an increasingly important tool in characterizing the abundance of proteins in biological samples of various types and across conditions. Effects of disease or drug treatments on protein abundance are of particular interest for the characterization of biological processes and the identification of biomarkers. Although s...

متن کامل

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline

MOTIVATION The quest for high-throughput proteomics has revealed a number of challenges in recent years. Whilst substantial improvements in automated protein separation with liquid chromatography and mass spectrometry (LC/MS), aka 'shotgun' proteomics, have been achieved, large-scale open initiatives such as the Human Proteome Organization (HUPO) Brain Proteome Project have shown that maximal p...

متن کامل

Proteomics of Neurodegenerative Diseases Using Novel Online Isoelectric Point Separation

The work presented in this thesis describes an instrument, developed for separation of proteins and peptides based on corresponding isoelectric point (pI) values, to empower mass spectrometry-based proteomics analysis. The main objectives are the instrument development and optimization, as well as clinical applications in biomarker discovery, particularly for neurodegenerative disorders. The th...

متن کامل

iProphet: multi-level integrative analysis of shotgun proteomic data improves peptide and protein identification rates and error estimates.

The combination of tandem mass spectrometry and sequence database searching is the method of choice for the identification of peptides and the mapping of proteomes. Over the last several years, the volume of data generated in proteomic studies has increased dramatically, which challenges the computational approaches previously developed for these data. Furthermore, a multitude of search engines...

متن کامل

Quantitative strategies to fuel the merger of discovery and hypothesis-driven shotgun proteomics.

The ultimate goal of most shotgun proteomic pipelines is the discovery of novel biomarkers to direct the development of quantitative diagnostics for the detection and treatment of disease. Differential comparisons of biological samples identify candidate peptides that can serve as proxys of candidate proteins. While these discovery approaches are robust and fairly comprehensive, they have relat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010