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http://hdl.handle.net/1942/35764
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DC Field | Value | Language |
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dc.contributor.author | CORREA ROJO, Alejandro | - |
dc.contributor.author | HEYLEN, Dries | - |
dc.contributor.author | AERTS, Jan | - |
dc.contributor.author | THAS, Olivier | - |
dc.contributor.author | HOOYBERGHS, Jef | - |
dc.contributor.author | Ertaylan, Gokhan | - |
dc.contributor.author | VALKENBORG, Dirk | - |
dc.date.accessioned | 2021-11-04T15:04:30Z | - |
dc.date.available | 2021-11-04T15:04:30Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-10-28T12:41:53Z | - |
dc.identifier.citation | FRONTIERS IN PHYSIOLOGY, 12 (Art N° 723510) | - |
dc.identifier.uri | http://hdl.handle.net/1942/35764 | - |
dc.description.abstract | Precision medicine as a framework for disease diagnosis, treatment, and prevention at the molecular level has entered clinical practice. From the start, genetics has been an indispensable tool to understand and stratify the biology of chronic and complex diseases in precision medicine. However, with the advances in biomedical and omics technologies, quantitative proteomics is emerging as a powerful technology complementing genetics. Quantitative proteomics provide insight about the dynamic behaviour of proteins as they represent intermediate phenotypes. They provide direct biological insights into physiological patterns, while genetics accounting for baseline characteristics. Additionally, it opens a wide range of applications in clinical diagnostics, treatment stratification, and drug discovery. In this mini-review, we discuss the current status of quantitative proteomics in precision medicine including the available technologies and common methods to analyze quantitative proteomics data. Furthermore, we highlight the current challenges to put quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data with genomics data for future applications in precision medicine.</p> | - |
dc.language.iso | en | - |
dc.publisher | FRONTIERS MEDIA SA | - |
dc.rights | open access | - |
dc.subject.other | precision medicine; quantitative proteomics; targeted techniques; | - |
dc.subject.other | bioinformatics; biomarker discovery; clinical diagnostics; protein | - |
dc.subject.other | quantitative trait loci | - |
dc.title | Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 12 | - |
local.format.pages | 8 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Rojo, AC; Valkenborg, D (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Data Sci Inst, Diepenbeek, Belgium.; Rojo, AC; Ertaylan, G (corresponding author), Flemish Inst Technol Res VITO, Mol, Belgium. | - |
dc.description.notes | alejandro.correarojo@uhasselt.be; gokhan.ertaylan@vito.be; | - |
dc.description.notes | dirk.valkenborg@uhasselt.be | - |
local.publisher.place | AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Review | - |
local.bibliographicCitation.artnr | 723510 | - |
dc.identifier.doi | 10.3389/fphys.2021.723510 | - |
dc.identifier.isi | WOS:000698616400001 | - |
dc.contributor.orcid | Aerts, Jan/0000-0002-6416-2717; VALKENBORG, Dirk/0000-0002-1877-3496 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Rojo, Alejandro Correa; Heylen, Dries; Aerts, Jan; Thas, Olivier; Valkenborg, Dirk] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Data Sci Inst, Diepenbeek, Belgium. | - |
local.description.affiliation | [Rojo, Alejandro Correa; Heylen, Dries; Hooyberghs, Jef; Ertaylan, Gokhan] Flemish Inst Technol Res VITO, Mol, Belgium. | - |
local.description.affiliation | [Thas, Olivier] Univ Ghent, Fac Sci, Dept Appl Math Comp Sci & Stat, Ghent, Belgium. | - |
local.description.affiliation | [Thas, Olivier] Natl Inst Appl Stat Res Australia NIASRA, Wollongong, NSW, Australia. | - |
local.description.affiliation | [Hooyberghs, Jef] Hasselt Univ, Data Sci Inst, Theoret Phys, Diepenbeek, Belgium. | - |
local.uhasselt.international | yes | - |
item.contributor | CORREA ROJO, Alejandro | - |
item.contributor | HEYLEN, Dries | - |
item.contributor | AERTS, Jan | - |
item.contributor | THAS, Olivier | - |
item.contributor | HOOYBERGHS, Jef | - |
item.contributor | Ertaylan, Gokhan | - |
item.contributor | VALKENBORG, Dirk | - |
item.fullcitation | CORREA ROJO, Alejandro; HEYLEN, Dries; AERTS, Jan; THAS, Olivier; HOOYBERGHS, Jef; Ertaylan, Gokhan & VALKENBORG, Dirk (2021) Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review. In: FRONTIERS IN PHYSIOLOGY, 12 (Art N° 723510). | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2022 | - |
crisitem.journal.eissn | 1664-042X | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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fphys-12-723510.pdf | Published version | 629.47 kB | Adobe PDF | View/Open |
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