Linked Life Data

2499216

Source:http://linkedlifedata.com/resource/pubmed/id/2499216

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1989-7-6
pubmed:abstractText
The persistence of proteins in a number of biological systems has been analyzed by density labeling techniques; however, the utility of this approach has been severely hampered by poor resolution between density-labeled and unlabeled proteins on equilibrium gradients. A high resolution equilibrium salt gradient composed of KSCN/CsSCN has been developed to effectively separate density-labeled proteins (13C-15N-2H-substituted) from unlabeled proteins. The resolution of this system is approximately twofold greater than that previously achieved with cesium formate/guanidine hydrochloride equilibrium gradients which have been used in many recent protein density labeling studies. In order to examine the extent of cross-contamination between density-labeled and unlabeled proteins in a KSCN/CsSCN gradient system, density-labeled chick epidermal proteins were mixed with unlabeled Drosophila larval proteins and then separated on these equilibrium gradients. From individual gradient fractions proteins were recovered and fractionated on a sodium dodecyl sulfate-polyacrylamide gel, demonstrating the virtually complete separation between the two populations. The general utility of this system for protein stability studies is also demonstrated.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0003-2697
pubmed:author
pubmed:issnType
Print
pubmed:volume
177
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
333-40
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1989
pubmed:articleTitle
High resolution KSCN/CsSCN equilibrium gradients effectively separate a population of density labeled proteins from unlabeled proteins.
pubmed:affiliation
Department of Biology, University of Virginia, Gilmer Hall, Charlottesville, 22901.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't