Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Surface protein profiles of extracellular vesicles reveal SARS-CoV-2 infection
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular Tools and Functional Genomics. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Neurooncology and neurodegeneration.ORCID iD: 0000-0002-1650-9974
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular Tools and Functional Genomics. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Center for Clinical Research Dalarna. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Microbiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Infection medicine.ORCID iD: 0000-0002-0093-5725
Show others and affiliations
(English)Manuscript (preprint) (Other academic)
Keywords [en]
Proximity barcoding assay, Extracellular vesicles, Surface proteins
National Category
Infectious Medicine Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Identifiers
URN: urn:nbn:se:uu:diva-521787OAI: oai:DiVA.org:uu-521787DiVA, id: diva2:1832134
Available from: 2024-01-28 Created: 2024-01-28 Last updated: 2024-02-01
In thesis
1. Advanced molecular tools for diagnostic analyses of RNA and antibodies in situ and in solution
Open this publication in new window or tab >>Advanced molecular tools for diagnostic analyses of RNA and antibodies in situ and in solution
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Advanced molecular diagnostics uses in vitro biological assays to detect nucleic acids or proteins even in low concentrations across samples, allowing for the identification of biomarkers, monitoring the course of the disease over time, and selection of appropriate therapy. In this thesis, I focus on development and early applications of several molecular tools of expected value in research, and eventually also clinically. 

In papers I and II, proximity extension assay (PEA) was for the first time modified to measure specific antibody responses, rather than protein levels as in the standard PEA. We call the method AbPEA and the technique was used to sensitively measure antibody responses to the spike protein or the nucleocapsid of SARS-CoV-2. We demonstrated that AbPEA has high specificity, sensitivity, and broad dynamic range, along with multiplexing potential, offering performance similar to that of other methods for antibody measurements. We demonstrated utilization of blood and saliva samples in paper I and paper II, respectively, which further establish that our approach has great potential for large-scale screening and biobanking. 

In paper III, we aimed to investigate how the protein composition of extracellular vesicles (EVs) differed among blood samples collected from healthy individual or ones with either mild or severe COVID-19. Proximity barcoding assay was applied to obtain a comprehensive overview of the protein composition of large numbers of individual EVs, demonstrating interesting differences. 

In paper IV, we enhanced padlock-RCA-based RNA genotyping in situ by using another newly developed technology for highly selective detection of DNA or RNA sequence variants, referred to as super RCA (sRCA). Our analysis showed that this approach can improve the selectivity for sequence variants during in situ detection of mutant or wild-type transcripts, and the signals representing superRCA reaction products are prominent and easily distinguished from any background.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2024. p. 56
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 2016
Keywords
Homogenous serological assay, PCR-based antibody detection, Proximity extension assay, SARS-CoV-2 antibody, Extracellular vesicles, Proximity barcoding assay, in situ superRCA, mutant transcript
National Category
Medical Biotechnology
Identifiers
urn:nbn:se:uu:diva-522118 (URN)978-91-513-2029-8 (ISBN)
Public defence
2024-03-22, room A1:107a, BMC, Husargatan 3, Uppsala, 13:00 (English)
Opponent
Supervisors
Available from: 2024-02-29 Created: 2024-02-01 Last updated: 2024-02-29

Open Access in DiVA

No full text in DiVA

Authority records

Wang, MengqiLu, XiSinha, Tanay KumarNilsson, KennethWu, DiLandegren, UlfKamali-Moghaddam, Masood

Search in DiVA

By author/editor
Wang, MengqiLu, XiSinha, Tanay KumarNilsson, KennethWu, DiLandegren, UlfKamali-Moghaddam, Masood
By organisation
Molecular Tools and Functional GenomicsScience for Life Laboratory, SciLifeLabNeurooncology and neurodegenerationCenter for Clinical Research DalarnaClinical MicrobiologyInfection medicineDepartment of Medical Sciences
Infectious MedicineMedical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 67 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf