Metabolomics – Project Requests
The process for initiating a project in collaboration with the LCCC metabolomics shared resource varies depending on the institutional affiliation.
GU Affiliated Investigators
Investigators affiliated with Georgetown University will be charged the advertised internal rate for all services. A GU worktag for billing is required when initiating any analyses.
Investigators not affiliated with Georgetown University have to complete the Service Agreement below. After an initial consultation, an estimate will be drafted by the core that specifies the scope and total costs for your project, and is part of the service agreement. A copy of GU’s W9 form is also found below. These three documents (Estimate, Service Agreement and W-9) should be forwarded to the appropriate authority at your institution. A PO number and copies of the signed contract must be e-mailed to Kirandeep Gill (firstname.lastname@example.org) before services can be initiated. A surcharge will be applied to all external non-GU customers. Please contact Co-Director Dr. Amrita Cheema (email@example.com) for more information.
Refer to the services and fees section on the sample submission form for common list of assay descriptions and prices.
Samples can be delivered in person to room GC2/GD4 in the preclinical science building along with a completed sample submission form
Samples must be in appropriate containers. For example, samples for GC must be placed in glass vials with Teflon-lined screw cap and samples in polar solvents for targeted and untargeted metabolomics analyses maybe placed in plastic microcentrifuge tubes.
Generally, DMSO, PEG, and Parafilm are not compatible with mass spectrometry. For cell culture samples, it’s best if the culture media is without phenol red.
All sample tubes must be labeled with a unique identifier such as submitter’s initial along with the date in mmddyyyy format. Note: taping of unlabeled sample container to the submission form is not considered sufficient labeling.
Georgetown Metabolomics Shared Resource can help with the selection of method for analysis and data interpretation. If you have any questions, please ask us.