A novel excision selection method for isolation of antibodies binding antigens expressed specifically by rare cells in tissue sections

Publikation: Forskning - peer reviewTidsskriftartikel

DOI

  • Simon Lykkemark
  • Ole Aalund Mandrup
    Ole Aalund MandrupDepartment of Engineering, Aarhus University, Gustav Wieds Vej 10, 8000 Aarhus C, Aarhus, Denmark. pk@eng.au.dk.
  • Mads Bjørnkjær Jensen
    Mads Bjørnkjær JensenDepartment of Engineering, Aarhus University, Gustav Wieds Vej 10, 8000 Aarhus C, Aarhus, Denmark. pk@eng.au.dk.
  • Jesper Just
  • Peter Kristensen

There is a growing appreciation of single cell technologies to provide increased biological insight and allow development of improved therapeutics. The central dogma explains why single cell technologies is further advanced in studies targeting nucleic acids compared to proteins, as nucleic acid amplification makes experimental detection possible. Here we describe a novel method for single round phage display selection of antibody fragments from genetic libraries targeting antigens expressed by rare cells in tissue sections. We present and discuss the results of two selections of antibodies recognizing antigens expressed by perivascular cells surrounding capillaries located in a human brain section; with the aim of identifying biomarkers expressed by pericytes. The area targeted for selection was identified by a known biomarker and morphological appearance, however in situ hybridizations to nucleic acids can also be used for the identification of target cells. The antibody selections were performed directly on the tissue sections followed by excision of the target cells using a glass capillary attached to micromanipulation equipment. Antibodies bound to the target cells were characterized using ELISA, immunocytochemistry and immunohistochemistry. The described method will provide a valuable tool for the discovery of novel biomarkers on rare cells in all types of tissues.

OriginalsprogEngelsk
TidsskriftNucleic Acids Research
ISSN0305-1048
DOI
StatusE-pub ahead of print - 27 mar. 2017

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