id:"swepub:oai:gup.ub.gu.se/305652"
Search: id:"swepub:oai:gup.ub.gu.se/305652" > Next generation pla...
- 1 of 1
- Previous record
- Next record
- To hitlist
Next generation plasma proteome profiling to monitor health and disease
-
- Zhong, Wen (author)
- KTH,Proteinvetenskap,Science for Life Laboratory, SciLifeLab,KTH, Proteinvetenskap, Sweden
-
- Edfors, Fredrik (author)
- KTH,Science for Life Laboratory, SciLifeLab,Systembiologi,KTH, Science for Life Laboratory, SciLifeLab, Sweden
-
- Gummesson, Anders, 1973 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Gothenburg Univ, Sahlgrenska Acad, Inst Med, Dept Mol & Clin Med, Gothenburg, Sweden.;Sahlgrens Univ Hosp, Dept Clin Genet & Genom, Reg Vastra Gotaland, Gothenburg, Sweden.
- show more...
- show less...
- (creator_code:org_t)
- 2021-05-03
- 2021
- English.
- In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 12:1
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- The need for precision medicine approaches to monitor health and disease makes it important to develop sensitive and accurate assays for proteome profiles in blood. Here, we describe an approach for plasma profiling based on proximity extension assay combined with next generation sequencing. First, we analyze the variability of plasma profiles between and within healthy individuals in a longitudinal wellness study, including the influence of genetic variations on plasma levels. Second, we follow patients newly diagnosed with type 2 diabetes before and during therapeutic intervention using plasma proteome profiling. The studies show that healthy individuals have a unique and stable proteome profile and indicate that a panel of proteins could potentially be used for early diagnosis of diabetes, including stratification of patients with regards to response to metformin treatment. Although validation in larger cohorts is needed, the analysis demonstrates the usefulness of comprehensive plasma profiling for precision medicine efforts. The proximity extension assay (PEA) is a popular tool to measure plasma protein levels. Here, the authors extend the proteome coverage of PEA by combining it with next-generation sequencing, enabling the analysis of nearly 1500 proteins from minute amounts of plasma.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Keyword
- variants
- Science & Technology - Other Topics
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Nature Communications (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Zhong, Wen
- Edfors, Fredrik
- Gummesson, Ander ...
- Bergström, Göran ...
- Fagerberg, Linn
- Uhlén, Mathias
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Clinical Medicin ...
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Clinical Medicin ...
- and Cancer and Oncol ...
- Articles in the publication
- Nature Communica ...
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
