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.
To discuss the possibility of having the IGBB conduct
proteomics research in collaboration with you, please submit a ticket through the MyIGBB HelpDesk.
An IGBB proteomics consultant will respond to your query as quickly as possible
(usually within 24 hours).
A listing of IGBB Standard Services and their prices -- including information and prices for Training and Self-Service Equipment Usage -- is available in the Standard Services Catalog in MyIGBB and in PDF form via the link below.
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.
Ashley ByarsAdministrative Assistant I
TRAVEL
email(662) 325-3094
Portera
Adverse outcome pathway development II: Best practices
IGBB Authors:
Natàlia Garcia-ReyeroPUBLICATION YEAR:
2014IMPACT FACTOR:
5.023CITATION COUNT:
221Villeneuve DL, Crump D, Garcia-Reyero N, Hecker M, Hutchinson TH, LaLone CA, Landesmann B, Lettieri T, Munn S, Nepelska M, Ottinger MA, Vergauwen L, Whelan M (2014) Adverse outcome pathway development II: Best practices.
Toxicological Sciences 142(2): 321-330.
DOI:
10.1093/toxsci/kfu200EID:
2-s2.0-84922465985PMID: 25466379
DOWNLOAD PDFABSTRACTOrganization of existing and emerging toxicological knowledge into adverse outcome pathway (AOP) descriptions can facilitate greater application of mechanistic data, including those derived through high-throughput in vitro, high content omics and imaging, and biomarker approaches, in risk-based decision making. The previously ad hoc process of AOP development is being formalized through development of internationally harmonized guidance and principles. The goal of this article was to outline the information content desired for formal AOP description and some rules of thumb and best practices intended to facilitate reuse and connectivity of elements of an AOP description in a knowledgebase and network context. For example, key events (KEs) are measurements of change in biological state that are indicative of progression of a perturbation toward a specified adverse outcome. Best practices for KE description suggest that each KE should be defined as an independent measurement made at a particular level of biological organization. The concept of "functional equivalence" can help guide both decisions about how many KEs to include in an AOP and the specificity with which they are defined. Likewise, in describing both KEs and evidence that supports a causal linkage or statistical association between them (ie, a key event relationship; KER), best practice is to build from and contribute to existing KE or KER descriptions in the AOP knowledgebase rather than creating redundant descriptions. The best practices proposed address many of the challenges and uncertainties related to AOP development and help promote a consistent and reliable, yet flexible approach. © The Author 2014.
The IGBB is supported, in part, by the following units:
The IGBB is an HPC² member center.
