Linked Life Data

16904906

Source:http://linkedlifedata.com/resource/pubmed/id/16904906

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2006-12-4
pubmed:abstractText
Automation and miniaturization are key issues of high-throughput research projects in the post-genomic era. The implementation of robotics and parallelization has enabled researchers to process large numbers of protein targets for structural studies in a short time with reasonable cost efficiency. However, the cost of implementing the robotics and parallelization often prohibit their use in the traditional academic laboratory. Fortunately, multiple groups have made significant efforts to minimize the cost of heterologous protein expression for the production of protein samples in quantities suitable for high resolution structural studies. In this review, we describe recent efforts to continue to minimize the cost for the parallel processing of multiple protein targets and focus on those materials and strategies that are highly suitable for the traditional academic laboratory.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1046-5928
pubmed:author
pubmed:issnType
Print
pubmed:volume
51
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-10
pubmed:dateRevised
2010-6-4
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Strategies to maximize heterologous protein expression in Escherichia coli with minimal cost.
pubmed:affiliation
Brown University, Department of Molecular Pharmacology, Physiology, and Biotechnology, Box G-E3, Providence, RI 02912, USA.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural