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  • 1.
    Björkesten, Johan
    et al.
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Enroth, Stefan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Shen, Qiujin
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Wik, Lotta
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Hougaard, David
    Statens Serum Inst, Danish Ctr Neonatal Screening, Copenhagen, Denmark.
    Cohen, Arieh
    Statens Serum Inst, Danish Ctr Neonatal Screening, Copenhagen, Denmark.
    Sörensen, Lene
    Karolinska Univ Hosp, Ctr Inherited Metab Dis, Stockholm, Sweden.
    Giedraitis, Vilmantas
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics.
    Ingelsson, Martin
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics.
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Kamali-Moghaddam, Masood
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Landegren, Ulf
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Stability of Proteins in Dried Blood Spot Biobanks.2017In: Molecular & Cellular Proteomics, ISSN 1535-9476, E-ISSN 1535-9484, Vol. 16, no 7, p. 1286-1296Article in journal (Refereed)
    Abstract [en]

    An important motivation for the construction of biobanks is to discover biomarkers that identify diseases at early, potentially curable stages. This will require biobanks from large numbers of individuals, preferably sampled repeatedly, where the samples are collected and stored under conditions that preserve potential biomarkers. Dried blood samples are attractive for biobanking because of the ease and low cost of collection and storage. Here we have investigated their suitability for protein measurements. 92 proteins with relevance for oncology were analyzed using multiplex proximity extension assays (PEA) in dried blood spots collected on paper and stored for up to 30 years at either +4&deg;C or -24&deg;C.</p> <p>Our main findings were that 1) the act of drying only slightly influenced detection of blood proteins (average correlation of 0.970), and in a reproducible manner (correlation of 0.999), 2) detection of some proteins was not significantly affected by storage over the full range of three decades (34% and 76% of the analyzed proteins at +4&deg;C and -24&deg;C, respectively), while levels of others decreased slowly during storage with half-lives in the range of 10 to 50 years, and 3) detectability of proteins was less affected in dried samples stored at -24&deg;C compared to at +4&deg;C, as the median protein abundance had decreased to 80% and 93% of starting levels after 10 years of storage at +4&deg;C or -24&deg;C, respectively. The results of our study are encouraging as they suggest an inexpensive means to collect large numbers of blood samples, even by the donors themselves, and to transport, and store biobanked samples as spots of whole blood dried on paper. Combined with emerging means to measure hundreds or thousands of protein, such biobanks could prove of great medical value by greatly enhancing discovery as well as routine analysis of blood biomarkers.

  • 2.
    Landegren, Ulf
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools.
    Al-Amin, Rasel A.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools.
    Björkesten, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools.
    A myopic perspective on the future of protein diagnostics2018In: New Biotechnology, ISSN 1871-6784, E-ISSN 1876-4347, Vol. 45, p. 14-18Article, review/survey (Refereed)
    Abstract [en]

    Plasma proteome analyses of the future promise invaluable insights into states of health, not only by measuring proteins whose role it is to ensure blood homeostasis, but increasingly also as a window into the health of practically any tissue in the body via so-called leakage protein biomarkers. Realizing more of this vast potential will require progress along many lines. Here we discuss the main ones, such as optimal selection of target proteins, affinity reagents, immunoassay formats, samples, and applications, with a view from ongoing work in our laboratory.

  • 3.
    Lönn, Peter
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Science for Life Laboratory, SciLifeLab, Science for Life Laboratory, SciLifeLab.
    Al-Amin, Rasel A.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Science for Life Laboratory, SciLifeLab, Science for Life Laboratory, SciLifeLab.
    Heldin, Johan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Gallini, Radiosa
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Science for Life Laboratory, SciLifeLab, Science for Life Laboratory, SciLifeLab.
    Björkesten, Johan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Oelrich, Johan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools. Science for Life Laboratory, SciLifeLab, Science for Life Laboratory, SciLifeLab.
    Kamali-Moghaddam, Masood
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools. Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Landegren, Ulf
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools. Uppsala University, Science for Life Laboratory, SciLifeLab.
    High-throughput in situ mapping of phosphorylated protein complexes across the cell cycle and in response to drugsManuscript (preprint) (Other academic)
    Abstract [en]

    Interactions and posttranslational modifications (PTMs) of proteins orchestrate cellular responses to cytokines, drugs or other agents, but it has been difficult to monitor and characterize these dynamic events at high-throughput. Here, we have established a semi-automated system for large-scale in situ proximity ligation assays (isPLA). The protocol combines isPLA in microtiter wells with automated microscopy and computer-based image analysis whereby specific protein phosphorylations and interactions are digitally recorded in cells, along with measurements of morphological features. We demonstrate how this platform can improve analysis of cellular signaling by investigating TGF-b responsive Smad2 linker phosphorylations and complex formations over time and across millions of individual cells. We depict single cell responses in relation to e.g. local cell crowding and cell cycle progression via measurements of DNA content and nuclear size. Finally, we illustrate the application of the protocol for demonstrating drug effects by screening a library of phosphatase inhibitors. In summary, our approach expands the scope for image-based single cell analyses by combining observations of protein interactions and modifications with morphological details of individual cells at high throughput.

  • 4.
    Shen, Qiujin
    et al.
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Björkesten, Johan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Galli, Joakim
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Ekman, Daniel
    Olink Biosci, Uppsala, Sweden..
    Broberg, John
    Olink Prote, Uppsala, Sweden..
    Nordberg, Niklas
    Olink Prote, Uppsala, Sweden..
    Tillander, Annika
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Kamali-Moghaddam, Masood
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Tybring, Gunnel
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Landegren, Ulf
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Strong impact on plasma protein profiles by precentrifugation delay but not by repeated freeze-thaw cycles, as analyzed using multiplex proximity extension assays2018In: Clinical Chemistry and Laboratory Medicine, ISSN 1434-6621, E-ISSN 1437-4331, Vol. 56, no 4, p. 582-594Article in journal (Refereed)
    Abstract [en]

    Background: A number of factors regarding blood collection, handling and storage may affect sample quality. The purpose of this study was to assess the impact on plasma protein profiles by delayed centrifugation and plasma separation and multiple freeze-thaw cycles.

    Methods: Blood samples drawn from 16 healthy individuals were collected into ethylenediaminetetraacetic acid tubes and kept either at 4 degrees C or 22 degrees C for 1-36 h prior to centrifugation. Plasma samples prepared 1 h after venipuncture were also subjected to two to eight cycles of freezing at -80 degrees C and thawing at 22 degrees C. Multiplex proximity extension assay, an antibody-based protein assay, was used to investigate the influence on plasma proteins.

    Results: Up to 36 h delay before blood centrifugation resulted in significant increases of 16 and 40 out of 139 detectable proteins in samples kept at 4 degrees C or 22 degrees C, respectively. Some increases became noticeable after 8 h delay at 4 degrees C but already after 1 h at 22 degrees C. For samples stored at 4 degrees C, epidermal growth factor (EGF), NF-kappa-B essential modulator, SRC, interleukin 16 and CD6 increased the most, whereas the five most significantly increased proteins after storage at 22 degrees C were CD40 antigen ligand (CD40-L), EGF, platelet-derived growth factor subunit B, C-X-C motif chemokine ligand 5 and matrix metallopeptidase 1 (MMP1). Only matrix metallopeptidase 7 (MMP7) decreased significantly over time and only after storage at 22 degrees C. No protein levels were found to be significantly affected by up to eight freeze-thaw cycles.

    Conclusions: Plasma should be prepared from blood after a limited precentrifugation delay at a refrigerated temperature. By contrast, the influence by several freeze-thaw cycles on detectable protein levels in plasma was negligible.

  • 5.
    Siart, Benjamin
    et al.
    Univ Vienna, Dept Anthropol, Althanstr 14, A-1090 Vienna, Austria;Univ Vienna, Dept Behav Biol, Althanstr 14, A-1090 Vienna, Austria.
    de Oliveira, Felipe Marques Souza
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Shen, Qiujin
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools.
    Björkesten, Johan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools.
    Pekar, Thomas
    Univ Appl Sci Wiener Neustadt, Dept Biomed Sci, Johannes Gutenbergstr 3, A-2700 Wiener Neustadt, Austria.
    Steinborn, Ralf
    Univ Vet Med, VetCore, Genom Core Facil, Vet Pl 1, A-1210 Vienna, Austria.
    Nimmerichter, Alfred
    Univ Appl Sci Wiener Neustadt, Fac Training & Sports Sci, Johannes Gutenbergstr 3, A-2700 Wiener Neustadt, Austria.
    Kamali-Moghaddam, Masood
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Wallner, Bernard
    Univ Vienna, Dept Behav Biol, Althanstr 14, A-1090 Vienna, Austria.
    Protein measurements in venous plasma, earlobe capillary plasma and in plasma stored on filter paper2019In: Analytical Biochemistry, ISSN 0003-2697, E-ISSN 1096-0309, Vol. 566, p. 146-150Article in journal (Refereed)
    Abstract [en]

    In this study, levels of inflammatory protein biomarkers in venous plasma, plasma derived from capillary blood from the earlobe, and capillary plasma stored as dried plasma spots (DPS) were compared. Samples from 12 male individuals were assessed with a panel of 92 inflammation-related proteins using multiplex proximity extension assay. Correlations between sample types varied greatly between analytes. A high correlation of rho > 0.8 was observed between capillary plasma and DPS for 32 analytes. At this level of correlation, 13 analytes correlated between venous and capillary plasma and 5 analytes in the comparison of venous blood with DPS.

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