TY - JOUR
T1 - Technology Insight
T2 - Microarrays - Research and clinical applications
AU - Vlacich, Gregory
AU - Roe, Cheryl
AU - Webb, Gene C.
PY - 2007/8
Y1 - 2007/8
N2 - For microarrays, the transition from research to clinical and diagnostic applications is well underway. Microarrays use a range of specific probes that are immobilized in known locations on a support matrix; this technique can measure levels of specific DNA, RNA and proteins, as well as carbohydrates and lipids. It is anticipated that analysis of these levels will lead to identification of biomarkers for the diagnosis, treatment and prognosis of a wide range of diseases. So far, this type of analysis has been particularly useful in clinical oncology, but the technology is being actively and successfully explored for diseases such as diabetes, endocrine tumors and endocrine modulators of tumors. There are now many commercial sources of microarrays, which have robust quality-control procedures in place. Progress will be enhanced when biomarkers can be established, statistical approaches can be refined and when we better understand the interactions of genes and of particular gene loci in disease progression.
AB - For microarrays, the transition from research to clinical and diagnostic applications is well underway. Microarrays use a range of specific probes that are immobilized in known locations on a support matrix; this technique can measure levels of specific DNA, RNA and proteins, as well as carbohydrates and lipids. It is anticipated that analysis of these levels will lead to identification of biomarkers for the diagnosis, treatment and prognosis of a wide range of diseases. So far, this type of analysis has been particularly useful in clinical oncology, but the technology is being actively and successfully explored for diseases such as diabetes, endocrine tumors and endocrine modulators of tumors. There are now many commercial sources of microarrays, which have robust quality-control procedures in place. Progress will be enhanced when biomarkers can be established, statistical approaches can be refined and when we better understand the interactions of genes and of particular gene loci in disease progression.
KW - Genome
KW - Hormone
KW - Microarray
KW - Proteome
KW - Transcriptome
UR - http://www.scopus.com/inward/record.url?scp=34447628522&partnerID=8YFLogxK
U2 - 10.1038/ncpendmet0580
DO - 10.1038/ncpendmet0580
M3 - Review article
C2 - 17643130
AN - SCOPUS:34447628522
SN - 1745-8366
VL - 3
SP - 594
EP - 605
JO - Nature Clinical Practice Endocrinology and Metabolism
JF - Nature Clinical Practice Endocrinology and Metabolism
IS - 8
ER -