The VGN Proteomics Facility was designed for use by faculty, staff, and students at UVM, VGN Baccalaureate Partners and other Institutions throughout the state of Vermont. The facility also provides services to external users from outside Vermont. We provide comprehensive support from experimental design to downstream data analysis. The following policies have been established to insure quality control and success of proteomics analysis.
We are happy to provide education and training to faculty, staff and students depending upon their needs and skill levels. Investigators should contact the facility prior to sample submission to ensure a clear understanding of sample requirements for processing through the facility. To arrange a consultation you can contact Drs. Wai Lam / Bin Deng by phone (802-656-4709, 802-656-5099) or email (email@example.com, firstname.lastname@example.org).
Consultations are usually attended by the investigators, their staff (postdoc, students and research associates) and the facility personnel and usually last for 1-2 h. During consultation, details of the project are discussed, including 1) background and goals of experiments; 2) feasible plans and solutions based on the facility personnel experience on similar projects; 3) advantages and disadvantages of various proteomics technologies and strategies; 4) proteomics solutions the facility can provide, and, depending on projects, what levels of success investigators could expect; 5) technical details of the experiments. The facility personnel have strong backgrounds in both biology and analytical chemistry. They will provide protocols and relevant literature regarding experimental designs and recommend the best reagents to use for experiments. An average of 1-2 consultations can be arranged per month for each investigator. As the projects progress, we will discuss results, assist in paper preparation, and grant submission. A Facility tour and a brief overview of proteomics technologies via Powerpoint presentations will be given to new users.
B) Sample Preparation
Sample Preparation is applied to make samples from various sources (e.g. purified proteins, gel band samples, cell culture pellets and complex protein extracts, etc) compatible to mass spectrometry analysis. The common preparation methodologies include trypsin digestion and subsequent clean-up procedures. Depending on sample types, in-gel or in-solution digestion will be applied. The resulting tryptic digests are analyzed by mass spectrometry. In some cases, fractionation is needed to reduce the complexity for in-depth analysis of the proteome. Charges are based on the types of sample preparations plus LCMS analysis.
Sample preparation is critical for a good mass spec analysis. We have developed sample preparation procedures for various types of sample analyses.
C) Sample Submission
Investigators are required to submit their samples via our online sample submission system (coreLIMS) where they answer some questions before sample submission (http://www.uvm.edu/~vgn/proteomics/). Each sample must be accompanied by a completed on line form. Investigators set up a coreLIMS account in order to submit their samples. A database has been set up to keep track of samples and billing. In addition, the information investigators provide will help us to ensure proper handling and analysis of your samples.
D) Data Analysis
Only trained personnel directly operate the mass spectrometers in the facility. However, users are welcome to learn to use the equipment and participate in data analysis. We will guide investigators throughout the experiments, discuss the results, provide assistance in manuscript preparations, and plan future experiments. Facility personnel will spend the time needed to analyze the data manually or with a suite of software.
E) Delivery of Results
Results will be sent via e-mail or provided as a printed copy. Raw data will be provided upon request.
It is best to ship the samples via overnight shipping if you are a non-UVM user, otherwise please drop them off in person. Please note that drop-off hours are Monday through Friday, 9:00 AM to 4:00 PM, and investigators are encouraged to give the facility personnel a call before dropping by.
F) Data Management and Quality Controls
The facility works closely with the clients and cooperates in a professional and confidential manner. We will archive a copy of mass spectrometry data for you, but we strongly suggest that you also make your own back up for protection.
Sample submission Sample analysis and instrument use will be prioritized by the Facility Director and Manager. A data management system (coreLIMS) with a user interface has been implemented to keep track of samples and assist prioritization (http://www.uvm.edu/~vgn/proteomics/). Investigators are requested to submit their samples on line before mass spectrometry analysis.
Data format and processing Large amount of unprocessed data in the form of instrument-specific raw files (.RAW) will be produced from the many projects described in the proposal. The raw files will then be processed using a variety of software for specific purposes (Bioworks, Proteome Discoverer, Scaffold, etc) and converted to software specific file types (e.g. .srf, .msf, .sfd).
Archiving data All the unprocessed raw data and the processed results will be archived in three separate computers housed in the Facility’s Data Processing Center (Room 333 Marsh Life Science), as well as on a designated proteomics (P) server (vgnstor.int.uvm.edu/P:) maintained by the Vermont Genetics Network Bioinformatics Core (directed by Dr. James Vincent; http://vgn.uvm.edu/bioinformatics/) for data management.
Data Dissemination The research data are disseminated through:
The VGN Proteomics Facility reserves the right to use all data from mass spectrometry in the facility for the purpose of assessing quality of data and for the development of quantitation and analysis tools. All data used in quality control will remain strictly anonymous. We work closely with the VGN Bioinformatics Core directed by Dr. James Vincent, for in-depth analysis of proteomics data.