Mass Spectrometry- Matrix Assisted Laser Desorption Ionization Mass Spectrometry
MeSH ID: D019032
Description:
A mass spectrometric technique that is used for the analysis of large biomolecules. Analyte molecules are embedded in an excess matrix of small organic molecules that show a high resonant absorption at the laser wavelength used. The matrix absorbs the laser energy, thus inducing a soft disintegration of the sample-matrix mixture into free (gas phase) matrix and analyte molecules and molecular ions. In general, only molecular ions of the analyte molecules are produced, and almost no fragmentation occurs. This makes the method well suited for molecular weight determinations and mixture analysis.
Best practice for sharing this type of data:
Data may be stored and shared using an open, XML-based format. Data collected using mass spectrometry for a proteomics experiment should adhere to MIAPE-MS guidelines, which outline the minimum required information to be submitted along with all relevant datasets. Laser and source-related parameters should de disclosed, including plate and matrix composition, laser type and wavelength, etc. (See section 2.2 regarding matrix assisted laser desorption-ionization).
Most suitable repositories:
Matrix-Assisted Laser Desorption-Ionization Mass spectrometry data may be aded to repositories belonging to the ProteomeXchange consortium such as jPOST, MassIVE, PeptideAtlas, and PRIDE or MetaboLights, Protein Databank in Europe, GlycoProtDB, UniCarb-DR, PANGAEA, Glycans, The Global Proteome Machine Database, and WormBase.
Best practice for indicating re-use of existing data:
For public datasets please provide a DOI or other stable identified for the dataset itself *and* include a citation for the dataset in the reference list. Be sure to indicate exactly which data has been re-used, particularly when multiple versions of the dataset exist. In many cases, this is best achieved by sharing the code used to extract the part of the data that you analyzed. In some cases it may be best to share the exact dataset(s) you analyzed as well.
For access-controlled data authors should provide a link to instructions for obtaining access (e.g. here is the information page for ADNI (Alzheimer's Disease Neuroimaging Initiative): http://adni.loni.usc.edu/data-samples/access-data/).
When re-using a private dataset from a previous study please contact the data owners to discuss how the data can be made public.
