Linked Life Data

15584879

Source:http://linkedlifedata.com/resource/pubmed/id/15584879

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2004-12-8
pubmed:abstractText
The sequencing of the human genome has had an enormous impact on the proteomic analysis of cancer by providing a sequence-based framework for understanding the human proteome of tumor cells, tissues, and biological fluids. There is intense interest in applying proteomic technologies to uncover, at the protein level, processes involved in neoplastic transformation and new biomarkers that correlate with early diagnosis, as well as to accelerate the development of new therapeutic targets. To that effect, new technologies are being developed in order to meet the needs for the high throughput and high sensitivity that is required for cancer-related applications of proteomics. These innovative technologies have greatly enhanced our ability to separate and characterize complex protein mixtures, and have aided our ability to identify proteins with greater sensitivity, thereby providing the groundwork for future scientific breakthroughs and possibly providing impetus for the development of personalized cancer therapy.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1462-2416
pubmed:author
pubmed:issnType
Print
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1129-37
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Application of proteomic technologies to tumor analysis.
pubmed:affiliation
Department of Pediatrics, University of Michigan, 1150 West Medical Center Drive, Ann Arbor, Michigan, 48109-0656, USA. dmisek@umich.edu
pubmed:publicationType
Journal Article, Review