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  • 1.
    Edfors, Fredrik
    et al.
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
    Boström, Tove
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Forsström, Björn
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
    Zeiler, Marlis
    Johansson, Henrik J.
    Karlinska Institute.
    Lundberg, Emma
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Hober, Sophia
    KTH, School of Biotechnology (BIO), Protein Technology.
    Lehtiö, Janne
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Mann, Matthias
    Uhlén, Mathias
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Immunoproteomics using polyclonal antibodies and stable isotope-labeled affinity-purified recombinant proteins2014In: Molecular & Cellular Proteomics, ISSN 1535-9476, E-ISSN 1535-9484, Vol. 13, no 6, p. 1611-1624Article in journal (Refereed)
    Abstract [en]

    AThe combination of immuno-based methods and mass spectrometry detection has great potential in the field of quantitative proteomics. Here, we describe a new method (immuno-SILAC) for the absolute quantification of proteins in complex samples based on polyclonal antibodies and stable isotope-labeled recombinant protein fragments to allow affinity enrichment prior to mass spectrometry analysis and accurate quantification. We took advantage of the antibody resources publicly available from the Human Protein Atlas project covering more than 80% of all human protein-coding genes. Epitope mapping revealed that a majority of the polyclonal antibodies recognized multiple linear epitopes, and based on these results, a semi-automated method was developed for peptide enrichment using polyclonal antibodies immobilized on protein A-coated magnetic beads. A protocol based on the simultaneous multiplex capture of more than 40 protein targets showed that approximately half of the antibodies enriched at least one functional peptide detected in the subsequent mass spectrometry analysis. The approach was further developed to also generate quantitative data via the addition of heavy isotope-labeled recombinant protein fragment standards prior to trypsin digestion. Here, we show that we were able to use small amounts of antibodies (50 ng per target) in this manner for efficient multiplex analysis of quantitative levels of proteins in a human HeLa cell lysate. The results suggest that polyclonal antibodies generated via immunization of recombinant protein fragments could be used for the enrichment of target peptides to allow for rapid mass spectrometry analysis taking advantage of a substantial reduction in sample complexity. The possibility of building up a proteome-wide resource for immuno-SILAC assays based on publicly available antibody resources is discussed.

  • 2. Lewensohn, Rolf
    et al.
    Orre, Lukas
    Lehtiö, Janne
    Gräslund, Torbjörn
    KTH, School of Biotechnology (BIO), Molecular Biotechnology.
    S100a6 and/or s100a4 inhibitors for treating cancer2008Patent (Other (popular science, discussion, etc.))
    Abstract [en]

    Aspects of this invention relate to the fields of molecular biology and medicine. More specifically, disclosed herein are several approaches to provide subjects suffering from cancer with an inhibitor of S100A6 and/or S 100A4 alone or in combination with other cancer therapies so as to improve the cancer therapy and/or more efficiently treat cancer, in particular forms of cancer that are resistant to other therapies. Also disclosed herein are approaches for using S 100A6 and/or S 100A4 as a biomarker for metastases. Further, disclosed herein are approaches for using S 100A6 and/or S 100A4 as a biomarker for cancer therapies, in particular, as a biomarker to determine individual responses to cancer therapies. In addition, disclosed herein are approaches to identifying S 100A6 and/or S 100A4 inhibitors, for example, that act synergistically with a cancer therapy.

  • 3.
    Neiman, Maja
    et al.
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Fredolini, Claudia
    KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Johansson, H.
    Lehtiö, Janne
    Karolinska Institutet, Solna, Sweden .
    Nygren, Per-Åke
    KTH, School of Biotechnology (BIO), Protein Technology.
    Uhlén, Mathias
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Nilsson, Peter
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Schwenk, Jochen M.
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Selectivity analysis of single binder assays used in plasma protein profiling2013In: Proteomics, ISSN 1615-9853, E-ISSN 1615-9861, Vol. 13, no 23-24, p. 3406-3410Article in journal (Refereed)
    Abstract [en]

    The increasing availability of antibodies toward human proteins enables broad explorations of the proteomic landscape in cells, tissues, and body fluids. This includes assays with antibody suspension bead arrays that generate protein profiles of plasma samples by flow cytometer analysis. However, antibody selectivity is context dependent so it is necessary to corroborate on-target detection over off-target binding. To address this, we describe a concept to directly verify interactions from antibody-coupled beads by analysis of their eluates by Western blots and MS. We demonstrate selective antibody binding in complex samples with antibodies toward a set of chosen proteins with different abundance in plasma and serum, and illustrate the need to adjust sample and bead concentrations accordingly. The presented approach will serve as an important tool for resolving differential protein profiles from antibody arrays within plasma biomarker discoveries.

  • 4.
    Wernérus, Henrik
    et al.
    KTH, Superseded Departments (pre-2005), Biotechnology.
    Lehtiö, Janne
    KTH, Superseded Departments (pre-2005), Biotechnology.
    Samuelson, Patrik
    KTH, Superseded Departments (pre-2005), Biotechnology.
    Ståhl, Stefan
    KTH, Superseded Departments (pre-2005), Biotechnology.
    Engineering of staphylococcal surfaces for biotechnological applications2002In: Journal of Biotechnology, ISSN 0168-1656, E-ISSN 1873-4863, Vol. 96, no 1, p. 67-78Article, review/survey (Refereed)
    Abstract [en]

    Novel surface proteins can be introduced onto bacterial cell surfaces by recombinant means. Here, we describe various applications of two such display systems for the food-grade bacteria Staphylococcus carnosus and Staphylococcus xylosus, respectively. The achievements in the use of such staphylococci as live bacterial vaccine delivery vehicles will be described. Co-display of proteins and peptides with adhesive properties to enable targeting of the bacteria, have significantly improved the vaccine delivery potential. Recently, protective immunity to respiratory syncytial virus (RSV) could be evoked in mice by intranasal immunization using such 'second generation' vaccine delivery systems. Furthermore, antibody fragments and other 'affinity proteins' with capacity to specifically bind a certain protein, e.g. Staphylococcus aureus protein A-based affibodies, have been surface-displayed on staphylococci as initial efforts to create whole-cell diagnostic devices. Surface display of metal-binding peptides, or protein domains into which metal binding properties has been engineered by combinatorial protein engineering, have been exploited to create staphylococcal bioadsorbents for potential environmental or biosensor applications. The use of these staphylococcal surface display systems as alternatives for display of large protein libraries and subsequent affinity selection of relevant binding proteins by fluorescence-activated cell sorting (FACS) will be discussed.

1 - 4 of 4
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