Enhanced detectability in proteome studies
The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances...
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2014
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th-cmuir.6653943832-52752014-08-30T02:56:20Z Enhanced detectability in proteome studies Sriyam S. Sinchaikul S. Tantipaiboonwong P. Tzao C. Phutrakul S. Chen S.-T. The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications. © 2006 Elsevier B.V. All rights reserved. 2014-08-30T02:56:20Z 2014-08-30T02:56:20Z 2007 Review 15700232 10.1016/j.jchromb.2006.10.065 17140866 JCBAA http://www.scopus.com/inward/record.url?eid=2-s2.0-34047165354&partnerID=40&md5=71c2ed15f8fa3c70a7b25b96bd02d791 http://cmuir.cmu.ac.th/handle/6653943832/5275 English |
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English |
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The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications. © 2006 Elsevier B.V. All rights reserved. |
| format |
Review |
| author |
Sriyam S. Sinchaikul S. Tantipaiboonwong P. Tzao C. Phutrakul S. Chen S.-T. |
| spellingShingle |
Sriyam S. Sinchaikul S. Tantipaiboonwong P. Tzao C. Phutrakul S. Chen S.-T. Enhanced detectability in proteome studies |
| author_facet |
Sriyam S. Sinchaikul S. Tantipaiboonwong P. Tzao C. Phutrakul S. Chen S.-T. |
| author_sort |
Sriyam S. |
| title |
Enhanced detectability in proteome studies |
| title_short |
Enhanced detectability in proteome studies |
| title_full |
Enhanced detectability in proteome studies |
| title_fullStr |
Enhanced detectability in proteome studies |
| title_full_unstemmed |
Enhanced detectability in proteome studies |
| title_sort |
enhanced detectability in proteome studies |
| publishDate |
2014 |
| url |
http://www.scopus.com/inward/record.url?eid=2-s2.0-34047165354&partnerID=40&md5=71c2ed15f8fa3c70a7b25b96bd02d791 http://cmuir.cmu.ac.th/handle/6653943832/5275 |
| _version_ |
1681420394414735360 |