Network-Based Protein Biomarker Discovery Platforms
The advances in mass spectrometry-based proteomics technologies have enabled the generation of global proteome data from tissue or body fluid samples collected from a broad spectrum of human diseases. Comparative proteomic analysis of global proteome data identifies and prioritizes the proteins show...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Korea Genome Organization
2016-03-01
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| Series: | Genomics & Informatics |
| Subjects: | |
| Online Access: | http://genominfo.org/upload/pdf/gni-14-2.pdf |
| _version_ | 1819141336491622400 |
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| author | Minhyung Kim Daehee Hwang |
| author_facet | Minhyung Kim Daehee Hwang |
| author_sort | Minhyung Kim |
| collection | DOAJ |
| description | The advances in mass spectrometry-based proteomics technologies have enabled the generation of global proteome data from tissue or body fluid samples collected from a broad spectrum of human diseases. Comparative proteomic analysis of global proteome data identifies and prioritizes the proteins showing altered abundances, called differentially expressed proteins (DEPs), in disease samples, compared to control samples. Protein biomarker candidates that can serve as indicators of disease states are then selected as key molecules among these proteins. Recently, it has been addressed that cellular pathways can provide better indications of disease states than individual molecules and also network analysis of the DEPs enables effective identification of cellular pathways altered in disease conditions and key molecules representing the altered cellular pathways. Accordingly, a number of network-based approaches to identify disease-related pathways and representative molecules of such pathways have been developed. In this review, we summarize analytical platforms for network-based protein biomarker discovery and key components in the platforms. |
| first_indexed | 2024-12-22T11:52:50Z |
| format | Article |
| id | doaj.art-d7d45fbf37ff4b89b4d7b97d490e1ec8 |
| institution | Directory Open Access Journal |
| issn | 1598-866X 2234-0742 |
| language | English |
| last_indexed | 2024-12-22T11:52:50Z |
| publishDate | 2016-03-01 |
| publisher | Korea Genome Organization |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj.art-d7d45fbf37ff4b89b4d7b97d490e1ec82022-12-21T18:26:56ZengKorea Genome OrganizationGenomics & Informatics1598-866X2234-07422016-03-0114121110.5808/GI.2016.14.1.2177Network-Based Protein Biomarker Discovery PlatformsMinhyung Kim0Daehee Hwang1Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Korea.Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Korea.The advances in mass spectrometry-based proteomics technologies have enabled the generation of global proteome data from tissue or body fluid samples collected from a broad spectrum of human diseases. Comparative proteomic analysis of global proteome data identifies and prioritizes the proteins showing altered abundances, called differentially expressed proteins (DEPs), in disease samples, compared to control samples. Protein biomarker candidates that can serve as indicators of disease states are then selected as key molecules among these proteins. Recently, it has been addressed that cellular pathways can provide better indications of disease states than individual molecules and also network analysis of the DEPs enables effective identification of cellular pathways altered in disease conditions and key molecules representing the altered cellular pathways. Accordingly, a number of network-based approaches to identify disease-related pathways and representative molecules of such pathways have been developed. In this review, we summarize analytical platforms for network-based protein biomarker discovery and key components in the platforms.http://genominfo.org/upload/pdf/gni-14-2.pdfbiomarkersLC-MS/MSnetwork analysisproteomics |
| spellingShingle | Minhyung Kim Daehee Hwang Network-Based Protein Biomarker Discovery Platforms Genomics & Informatics biomarkers LC-MS/MS network analysis proteomics |
| title | Network-Based Protein Biomarker Discovery Platforms |
| title_full | Network-Based Protein Biomarker Discovery Platforms |
| title_fullStr | Network-Based Protein Biomarker Discovery Platforms |
| title_full_unstemmed | Network-Based Protein Biomarker Discovery Platforms |
| title_short | Network-Based Protein Biomarker Discovery Platforms |
| title_sort | network based protein biomarker discovery platforms |
| topic | biomarkers LC-MS/MS network analysis proteomics |
| url | http://genominfo.org/upload/pdf/gni-14-2.pdf |
| work_keys_str_mv | AT minhyungkim networkbasedproteinbiomarkerdiscoveryplatforms AT daeheehwang networkbasedproteinbiomarkerdiscoveryplatforms |