Source:http://linkedlifedata.com/resource/pubmed/id/19028259
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
2008-11-25
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pubmed:abstractText |
With recent advances in immunology and a growing understanding of transplantation biology, the development of reliable assays that may be used for identification and prediction of the current state of an immune response (rejection and tolerance) are urgently needed to allow us to predict the development of immunologic graft injury, individualize immunosuppression, rationally minimize immunosuppressive drug toxicity, promote a better understanding of the mechanisms underlying stable graft acceptance, and aid in the design of tolerance-inducing clinical transplantation trials. Microarrays can provide nonbiased, simultaneous global expression patterns for more than 40,000 human genes across different experiments. High throughput microarray technology offers a means to study disease-specific transcriptional changes in tissue biopsy, peripheral blood, and biofluids.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Sep
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pubmed:issn |
1557-9832
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
28
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
385-410, vi
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pubmed:meshHeading |
pubmed-meshheading:19028259-Clinical Trials as Topic,
pubmed-meshheading:19028259-Graft Rejection,
pubmed-meshheading:19028259-Humans,
pubmed-meshheading:19028259-Monitoring, Immunologic,
pubmed-meshheading:19028259-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:19028259-Transplantation Tolerance
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pubmed:year |
2008
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pubmed:articleTitle |
Microarrays: monitoring for transplant tolerance and mechanistic insights.
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pubmed:affiliation |
Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA.
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pubmed:publicationType |
Journal Article,
Review
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