Linked Life Data

19104781

Source:http://linkedlifedata.com/resource/pubmed/id/19104781

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-5-19
pubmed:abstractText
Individual transfer ribonucleic acids (tRNAs) in a complex mixture can be identified by the matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) detection of their signature digestion products. Signature digestion products are endonuclease digestion products whose mass-to-charge value is unique thus corresponding to only a single tRNA. To improve the effectiveness of this approach, we have expanded the applicable endonucleases and examined the use of multiple endonucleases for tRNA identification. The purine specific endonucleases RNase T1 and RNase TA generate the largest number of predicted signature digestion products. Experimentally, MALDI-MS analysis of endonuclease digests from Escherichia coli and Bacillus subtilis finds that any two endonucleases used in combination increases tRNA identification by about 25% over the number identified with a single endonuclease. Using three endonucleases, RNase T1, RNase A, and RNase TA, further improves the number of tRNAs identified by 10-15% over those found with two endonucleases. Limitations in the MALDI-MS approach for complex mixtures were revealed in this study, suggesting that the direct MALDI-MS analysis of signature digestion products is more effective for organisms having 30 or less unique tRNAs.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1618-2650
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
394
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1125-35
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Multiple endonucleases improve MALDI-MS signature digestion product detection of bacterial transfer RNAs.
pubmed:affiliation
Rieveschl Laboratories for Mass Spectrometry, Department of Chemistry, University of Cincinnati, PO Box 210172, Cincinnati, OH 45221-0172, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't