Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The word proteome is a portmanteau of protein and genome, and was coined by Marc Wilkins in 1994 while he was a Ph.D. student at Macquarie University. Macquarie University also founded the first dedicated proteomics laboratory in 1995.
Mass spectrometry is a scientific technique for measuring the mass-to-charge ratio of ions. It is often coupled to chromatographic techniques such as gas- or liquid chromatography and has found widespread adoption in the fields of analytical chemistry and biochemistry where it can be used to identify and characterize small molecules and proteins (proteomics). The large volume of data produced in a typical mass spectrometry experiment requires that computers be used for data storage and processing. Over the years, different manufacturers of mass spectrometers have developed various proprietary data formats for handling such data which makes it difficult for academic scientists to directly manipulate their data. To address this limitation, several open, XML-based data formats have recently been developed by the Trans-Proteomic Pipeline at the Institute for Systems Biology to facilitate data manipulation and innovation in the public sector. These data formats are described here.
Rudolf Aebersold is a Swiss biologist, regarded as a pioneer in the fields of proteomics and systems biology. He has primarily researched techniques for measuring proteins in complex samples, in many cases via mass spectrometry. Ruedi Aebersold is a professor of Systems biology at the Institute of Molecular Systems Biology (IMSB) in ETH Zurich. He was one of the founders of the Institute for Systems Biology in Seattle, Washington, where he previously had a research group.
The Trans-Proteomic Pipeline (TPP) is an open-source data analysis software for proteomics developed at the Institute for Systems Biology (ISB) by the Ruedi Aebersold group under the Seattle Proteome Center. The TPP includes PeptideProphet, ProteinProphet, ASAPRatio, XPRESS and Libra.
Mascot is a software search engine that uses mass spectrometry data to identify proteins from peptide sequence databases. Mascot is widely used by research facilities around the world. Mascot uses a probabilistic scoring algorithm for protein identification that was adapted from the MOWSE algorithm. Mascot is freely available to use on the website of Matrix Science. A license is required for in-house use where more features can be incorporated.
Top-down proteomics is a method of protein identification that either uses an ion trapping mass spectrometer to store an isolated protein ion for mass measurement and tandem mass spectrometry (MS/MS) analysis or other protein purification methods such as two-dimensional gel electrophoresis in conjunction with MS/MS. Top-down proteomics is capable of identifying and quantitating unique proteoforms through the analysis of intact proteins. The name is derived from the similar approach to DNA sequencing. During mass spectrometry intact proteins are typically ionized by electrospray ionization and trapped in a Fourier transform ion cyclotron resonance, quadrupole ion trap or Orbitrap mass spectrometer. Fragmentation for tandem mass spectrometry is accomplished by electron-capture dissociation or electron-transfer dissociation. Effective fractionation is critical for sample handling before mass-spectrometry-based proteomics. Proteome analysis routinely involves digesting intact proteins followed by inferred protein identification using mass spectrometry (MS). Top-down MS (non-gel) proteomics interrogates protein structure through measurement of an intact mass followed by direct ion dissociation in the gas phase.
Quantitative proteomics is an analytical chemistry technique for determining the amount of proteins in a sample. The methods for protein identification are identical to those used in general proteomics, but include quantification as an additional dimension. Rather than just providing lists of proteins identified in a certain sample, quantitative proteomics yields information about the physiological differences between two biological samples. For example, this approach can be used to compare samples from healthy and diseased patients. Quantitative proteomics is mainly performed by two-dimensional gel electrophoresis (2-DE) or mass spectrometry (MS). However, a recent developed method of quantitative dot blot (QDB) analysis is able to measure both the absolute and relative quantity of an individual proteins in the sample in high throughput format, thus open a new direction for proteomic research. In contrast to 2-DE, which requires MS for the downstream protein identification, MS technology can identify and quantify the changes.
Genedata provides bioinformatics enterprise software solutions and a variety of software-related services that support large-scale, experimental processes in life science research - with a focus on automating data rich, highly complex data workflows. Genedata solutions are used in R&D laboratories primarily in biopharmaceutical but also in industrial and agro-biotech, nutrition, and health industries as well as in contract research organizations (CROs) and academic research institutions. The world's top 25 pharmaceutical companies license one or more of Genedata products or services, and the firm has relationships with more than 40 of the top 50 pharmaceutical companies. The company is headquartered in Basel, Switzerland with subsidiaries and offices in Boston, London, Munich, San Francisco, Singapore, and Tokyo.
The Proteomics Standards Initiative (PSI) is a working group of Human Proteome Organization. It aims to define data standards for proteomics in order to facilitate data comparison, exchange and verification.
OpenMS is an open-source project for data analysis and processing in protein mass spectrometry and is released under the 3-clause BSD licence. It supports most common operating systems including Microsoft Windows, OS X and Linux.
The OpenMS Proteomics Pipeline (TOPP) is a set of computational tools that can be chained together to tailor problem-specific analysis pipelines for HPLC-MS data. It transforms most of the OpenMS functionality into small command line tools that are the building blocks for more complex analysis pipelines. The functionality of the tools ranges from data preprocessing over quantitation to identification.
LabKey Server is a software suite available for scientists to integrate, analyze, and share biomedical research data. The platform provides a secure data repository that allows web-based querying, reporting, and collaborating across a range of data sources. Specific scientific applications and workflows can be added on top of the basic platform and leverage a data processing pipeline.
OpenChrom is an open source software for the analysis and visualization of mass spectrometric and chromatographic data. Its focus is to handle native data files from several mass spectrometry systems, vendors like Agilent Technologies, Varian, Shimadzu, Thermo Fisher, PerkinElmer and others. But also data formats from other detector types are supported recently.
The PRIDE is a public data repository of mass spectrometry (MS) based proteomics data, and is maintained by the European Bioinformatics Institute as part of the Proteomics Team.
Integromics is a global bioinformatics company headquartered in Granada, Spain, with a second office in Madrid and subsidiaries in the US and UK and distributors in 10 countries. Integromics S.L. provides bioinformatics software for data management and data analysis in genomics and proteomics. The company provides a line of products that serve the gene expression, sequencing and proteomics markets. Customers include genomic research centers, pharmaceutical companies, academic institutions, clinical research organizations and biotechnology companies.
ProteoWizard is a set of open-source, cross-platform tools and libraries for proteomics data analyses. It provides a framework for unified mass spectrometry data file access and performs standard chemistry and LCMS dataset computations. Specifically, it is able to read many of the vendor-specific, proprietary formats and converting the data into an open data format.
PeptideAtlas is a proteomics data resource that gathers tandem mass spectrometry datasets from around the world, reprocesses them with the Trans-Proteomic Pipeline, and makes the combined result freely available to the community. Peptide Atlas is one of the founding members of the ProteomeXchange Consortium.
Skyline is an open source software for targeted proteomics and metabolomics data analysis. It runs on Microsoft Windows and supports the raw data formats from multiple mass spectrometric vendors. It contains a graphical user interface to display chromatographic data for individual peptide or small molecule analytes.
