Proteomics & Metabolomics
In addition to doing work on existing IGBB projects, the IGBB proteomics staff can
perform a variety of mass spectrometry and other proteomics services for MS State principal investigators and
IGBB collaborators. Such research can be performed through a Proposal Partnership,
a Research Agreement, or the Service Center.
The
IGBB's proteomics staff has considerable expertise in...
- Protein isolation/purification from all types of organisms/tissues
- 1D & 2D gel electrophoresis
- Gel- and non-gel-based mass spectrometry
- Protein identification
- Discovery and characterization of post-translational modifications;
- Quantitative proteomics
- Comparative proteomics & metabolomics
- Western blotting & protein visualization
- Integration of proteomic and nucleic acids data (e.g., proteogenomic
mapping)
- Functional annotation of proteins using Gene Ontology (GO)
standards and procedures
With regard to mass spectrometers, the IGBB's proteomics staff utilizes a ThermoFisher LTQ Orbitrap Velos, a Waters Nano ESI Q-TOF (model Xevo G2-S), and an Applied Biosystems (now ThermoFisher) MALDI TOF TOF. The LTQ Orbitrap Velos and the Nano ESI Q-TOF are fitted with upstream HPLC sample
purification systems.
ALSO SEE: Genomics (including Transcriptomics) | Biocomputing (Bioinformatics & Computational Biology)
NOTE: PIs are asked to consider whether the participation of an IGBB employee in a project merits that employee's inclusion as a co-author on a resulting manuscript(s). The decision ultimately lies with the PI. However, the IGBB encourages IGBB staff and faculty involved in
Proposal Partnerships and
Research Agreements to discuss/negotiate co-authorship with PIs before starting work on a project.
Clifton AbbottResearch Associate III
WEB & DB SUPPORT
email(662) 325-9435

AgBase: a functional genomics resource for agriculture
IGBB Authors:
Fiona M. McCarthy, Nan Wang, G. Bryce Magee, Bindu Nanduri, Mark L. Lawrence, Dawn S. Luthe, Susan M. Bridges, Shane C. BurgessPUBLICATION YEAR:
2006IMPACT FACTOR:
4.188CITATION COUNT:
247McCarthy FM, Wang N, Magee GB, Nanduri B, Lawrence ML, Camon EB, Barrell DG, Hill DP, Dolan ME, Williams WP, Luthe DS, Bridges SM, Burgess SC (2006) AgBase: a functional genomics resource for agriculture.
BMC Genomics 7: 229.
DOI:
10.1186/1471-2164-7-229EID:
2-s2.0-33750483615PMID: 16961921
DOWNLOAD PDFABSTRACTBACKGROUND: Many agricultural species and their pathogens have sequenced genomes and more are in progress. Agricultural species provide food, fiber, xenotransplant tissues, biopharmaceuticals and biomedical models. Moreover, many agricultural microorganisms are human zoonoses. However, systems biology from functional genomics data is hindered in agricultural species because agricultural genome sequences have relatively poor structural and functional annotation and agricultural research communities are smaller with limited funding compared to many model organism communities. DESCRIPTION: To facilitate systems biology in these traditionally agricultural species we have established "AgBase", a curated, web-accessible, public resource http://www.agbase.msstate.edu for structural and functional annotation of agricultural genomes. The AgBase database includes a suite of computational tools to use GO annotations. We use standardized nomenclature following the Human Genome Organization Gene Nomenclature guidelines and are currently functionally annotating chicken, cow and sheep gene products using the Gene Ontology (GO). The computational tools we have developed accept and batch process data derived from different public databases (with different accession codes), return all existing GO annotations, provide a list of products without GO annotation, identify potential orthologs, model functional genomics data using GO and assist proteomics analysis of ESTs and EST assemblies. Our journal database helps prevent redundant manual GO curation. We encourage and publicly acknowledge GO annotations from researchers and provide a service for researchers interested in GO and analysis of functional genomics data. CONCLUSION: The AgBase database is the first database dedicated to functional genomics and systems biology analysis for agriculturally important species and their pathogens. We use experimental data to improve structural annotation of genomes and to functionally characterize gene products. AgBase is also directly relevant for researchers in fields as diverse as agricultural production, cancer biology, biopharmaceuticals, human health and evolutionary biology. Moreover, the experimental methods and bioinformatics tools we provide are widely applicable to many other species including model organisms.
The IGBB is supported, in part, by the following units:
The IGBB is an HPC² member center.