Application of protein lysate microarrays to molecular marker verification and quantification

<p>Abstract</p> <p>This study presents the development and application of protein lysate microarray (LMA) technology for verification of presence and quantification of human tissue samples for protein biomarkers. Sub-picogram range sensitivity has been achieved on LMA using a non-e...

Full description

Bibliographic Details
Main Authors: Coombes Kevin, Morrisett Joel, Mitra Rahul, Chen Iou, Lin E, Ramaswamy Anitha, Ju Zhenlin, Kapoor Mini
Format: Article
Language:English
Published: BMC 2005-11-01
Series:Proteome Science
Online Access:http://www.proteomesci.com/content/3/1/9
id doaj-8ced5675c8f74f7f9ff8dbe2e4dc7d85
record_format Article
spelling doaj-8ced5675c8f74f7f9ff8dbe2e4dc7d852020-11-24T22:12:50ZengBMCProteome Science1477-59562005-11-0131910.1186/1477-5956-3-9Application of protein lysate microarrays to molecular marker verification and quantificationCoombes KevinMorrisett JoelMitra RahulChen IouLin ERamaswamy AnithaJu ZhenlinKapoor Mini<p>Abstract</p> <p>This study presents the development and application of protein lysate microarray (LMA) technology for verification of presence and quantification of human tissue samples for protein biomarkers. Sub-picogram range sensitivity has been achieved on LMA using a non-enzymatic protein detection methodology. Results from a set of quality control experiments are presented and demonstrate the high sensitivity and reproducibility of the LMA methodology. The optimized LMA methodology has been applied for verification of the presence and quantification of disease markers for atherosclerosis. LMA were used to measure lipoprotein [a] and apolipoprotein B100 in 52 carotid endarterectomy samples. The data generated by LMA were validated by ELISA using the same protein lysates. The correlations of protein amounts estimated by LMA and ELISA were highly significant, with r<sup>2 </sup>≥ 0.98 (p ≤ 0.001) for lipoprotein [a] and with r<sup>2 </sup>≥ 0.94 (p ≤ 0.001) for apolipoprotein B100. This is the first report to compare data generated using proteins microarrays with ELISA, a standard technology for the verification of the presence of protein biomarkers. The sensitivity, reproducibility, and high-throughput quality of LMA technology make it a potentially powerful technology for profiling disease specific protein markers in clinical samples.</p> http://www.proteomesci.com/content/3/1/9
collection DOAJ
language English
format Article
sources DOAJ
author Coombes Kevin
Morrisett Joel
Mitra Rahul
Chen Iou
Lin E
Ramaswamy Anitha
Ju Zhenlin
Kapoor Mini
spellingShingle Coombes Kevin
Morrisett Joel
Mitra Rahul
Chen Iou
Lin E
Ramaswamy Anitha
Ju Zhenlin
Kapoor Mini
Application of protein lysate microarrays to molecular marker verification and quantification
Proteome Science
author_facet Coombes Kevin
Morrisett Joel
Mitra Rahul
Chen Iou
Lin E
Ramaswamy Anitha
Ju Zhenlin
Kapoor Mini
author_sort Coombes Kevin
title Application of protein lysate microarrays to molecular marker verification and quantification
title_short Application of protein lysate microarrays to molecular marker verification and quantification
title_full Application of protein lysate microarrays to molecular marker verification and quantification
title_fullStr Application of protein lysate microarrays to molecular marker verification and quantification
title_full_unstemmed Application of protein lysate microarrays to molecular marker verification and quantification
title_sort application of protein lysate microarrays to molecular marker verification and quantification
publisher BMC
series Proteome Science
issn 1477-5956
publishDate 2005-11-01
description <p>Abstract</p> <p>This study presents the development and application of protein lysate microarray (LMA) technology for verification of presence and quantification of human tissue samples for protein biomarkers. Sub-picogram range sensitivity has been achieved on LMA using a non-enzymatic protein detection methodology. Results from a set of quality control experiments are presented and demonstrate the high sensitivity and reproducibility of the LMA methodology. The optimized LMA methodology has been applied for verification of the presence and quantification of disease markers for atherosclerosis. LMA were used to measure lipoprotein [a] and apolipoprotein B100 in 52 carotid endarterectomy samples. The data generated by LMA were validated by ELISA using the same protein lysates. The correlations of protein amounts estimated by LMA and ELISA were highly significant, with r<sup>2 </sup>≥ 0.98 (p ≤ 0.001) for lipoprotein [a] and with r<sup>2 </sup>≥ 0.94 (p ≤ 0.001) for apolipoprotein B100. This is the first report to compare data generated using proteins microarrays with ELISA, a standard technology for the verification of the presence of protein biomarkers. The sensitivity, reproducibility, and high-throughput quality of LMA technology make it a potentially powerful technology for profiling disease specific protein markers in clinical samples.</p>
url http://www.proteomesci.com/content/3/1/9
work_keys_str_mv AT coombeskevin applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
AT morrisettjoel applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
AT mitrarahul applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
AT cheniou applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
AT line applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
AT ramaswamyanitha applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
AT juzhenlin applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
AT kapoormini applicationofproteinlysatemicroarraystomolecularmarkerverificationandquantification
_version_ 1725802238326079488