Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor. / Ørstrup, Laura Hvidsten; Slaaby, Rita; Rasch, Morten Grønbech; Rasmussen, Nicolaj; Lund, Søren; Brandt, Jakob; Schluckebier, Gerd; Wang, Zhe; Lützen, Anne; Pedersen, Thomas Åskov; Hvid, Henning; Hansen, Bo Falck; Blume, Niels.

In: Journal of Immunological Methods, Vol. 465, 2019, p. 20-26.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Ørstrup, LH, Slaaby, R, Rasch, MG, Rasmussen, N, Lund, S, Brandt, J, Schluckebier, G, Wang, Z, Lützen, A, Pedersen, TÅ, Hvid, H, Hansen, BF & Blume, N 2019, 'Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor', Journal of Immunological Methods, vol. 465, pp. 20-26. https://doi.org/10.1016/j.jim.2018.11.014

APA

Ørstrup, L. H., Slaaby, R., Rasch, M. G., Rasmussen, N., Lund, S., Brandt, J., Schluckebier, G., Wang, Z., Lützen, A., Pedersen, T. Å., Hvid, H., Hansen, B. F., & Blume, N. (2019). Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor. Journal of Immunological Methods, 465, 20-26. https://doi.org/10.1016/j.jim.2018.11.014

Vancouver

Ørstrup LH, Slaaby R, Rasch MG, Rasmussen N, Lund S, Brandt J et al. Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor. Journal of Immunological Methods. 2019;465:20-26. https://doi.org/10.1016/j.jim.2018.11.014

Author

Ørstrup, Laura Hvidsten ; Slaaby, Rita ; Rasch, Morten Grønbech ; Rasmussen, Nicolaj ; Lund, Søren ; Brandt, Jakob ; Schluckebier, Gerd ; Wang, Zhe ; Lützen, Anne ; Pedersen, Thomas Åskov ; Hvid, Henning ; Hansen, Bo Falck ; Blume, Niels. / Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor. In: Journal of Immunological Methods. 2019 ; Vol. 465. pp. 20-26.

Bibtex

@article{f261172760784cc0927f9831cac7e7f4,
title = "Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor",
abstract = "Translation across species of immunoassay results is often challenging due to the lack of cross-species reactivity of antibodies. In order to investigate the biology of insulin and IGF1 receptors, we generated new versatile monoclonal assay antibodies using the extracellular domain of the insulin/IGF1 hybrid receptor as the bait protein in the Adimab yeast antibody discovery platform and as the antigen in a rabbit monoclonal antibody platform. The resulting antibody clones were screened for receptor specificity as well as cross-species reactivity to both tissue and cell line derived samples. Using these strategies, we were able to identify highly specific insulin receptor monoclonal antibodies that lack cross-reactivity to the IGF1 receptor using the Adimab platform and a highly specific IGF1 receptor monoclonal antibody that lacks cross-reactivity to the insulin receptor using the rabbit antibody platform. Unlike earlier monoclonal antibodies reported in the literature, these antibodies show cross-species reactivity to the extracellular domains of mouse, rat, pig, and human receptors, indicating that they bind conserved epitopes. Furthermore, the antibodies work well in several different assay formats, including ELISA, flow cytometry, and immunoprecipitation, and therefore provide new tools to study insulin and IGF1 receptor biology with translation across several species and experimental model systems.",
keywords = "Cross-species translation, Diabetes, Hybrid receptor, IGF1 receptor, Insulin receptor, Monoclonal antibodies",
author = "{\O}rstrup, {Laura Hvidsten} and Rita Slaaby and Rasch, {Morten Gr{\o}nbech} and Nicolaj Rasmussen and S{\o}ren Lund and Jakob Brandt and Gerd Schluckebier and Zhe Wang and Anne L{\"u}tzen and Pedersen, {Thomas {\AA}skov} and Henning Hvid and Hansen, {Bo Falck} and Niels Blume",
year = "2019",
doi = "10.1016/j.jim.2018.11.014",
language = "English",
volume = "465",
pages = "20--26",
journal = "Journal of Immunological Methods",
issn = "0022-1759",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Cross-species reactive monoclonal antibodies against the extracellular domains of the insulin receptor and IGF1 receptor

AU - Ørstrup, Laura Hvidsten

AU - Slaaby, Rita

AU - Rasch, Morten Grønbech

AU - Rasmussen, Nicolaj

AU - Lund, Søren

AU - Brandt, Jakob

AU - Schluckebier, Gerd

AU - Wang, Zhe

AU - Lützen, Anne

AU - Pedersen, Thomas Åskov

AU - Hvid, Henning

AU - Hansen, Bo Falck

AU - Blume, Niels

PY - 2019

Y1 - 2019

N2 - Translation across species of immunoassay results is often challenging due to the lack of cross-species reactivity of antibodies. In order to investigate the biology of insulin and IGF1 receptors, we generated new versatile monoclonal assay antibodies using the extracellular domain of the insulin/IGF1 hybrid receptor as the bait protein in the Adimab yeast antibody discovery platform and as the antigen in a rabbit monoclonal antibody platform. The resulting antibody clones were screened for receptor specificity as well as cross-species reactivity to both tissue and cell line derived samples. Using these strategies, we were able to identify highly specific insulin receptor monoclonal antibodies that lack cross-reactivity to the IGF1 receptor using the Adimab platform and a highly specific IGF1 receptor monoclonal antibody that lacks cross-reactivity to the insulin receptor using the rabbit antibody platform. Unlike earlier monoclonal antibodies reported in the literature, these antibodies show cross-species reactivity to the extracellular domains of mouse, rat, pig, and human receptors, indicating that they bind conserved epitopes. Furthermore, the antibodies work well in several different assay formats, including ELISA, flow cytometry, and immunoprecipitation, and therefore provide new tools to study insulin and IGF1 receptor biology with translation across several species and experimental model systems.

AB - Translation across species of immunoassay results is often challenging due to the lack of cross-species reactivity of antibodies. In order to investigate the biology of insulin and IGF1 receptors, we generated new versatile monoclonal assay antibodies using the extracellular domain of the insulin/IGF1 hybrid receptor as the bait protein in the Adimab yeast antibody discovery platform and as the antigen in a rabbit monoclonal antibody platform. The resulting antibody clones were screened for receptor specificity as well as cross-species reactivity to both tissue and cell line derived samples. Using these strategies, we were able to identify highly specific insulin receptor monoclonal antibodies that lack cross-reactivity to the IGF1 receptor using the Adimab platform and a highly specific IGF1 receptor monoclonal antibody that lacks cross-reactivity to the insulin receptor using the rabbit antibody platform. Unlike earlier monoclonal antibodies reported in the literature, these antibodies show cross-species reactivity to the extracellular domains of mouse, rat, pig, and human receptors, indicating that they bind conserved epitopes. Furthermore, the antibodies work well in several different assay formats, including ELISA, flow cytometry, and immunoprecipitation, and therefore provide new tools to study insulin and IGF1 receptor biology with translation across several species and experimental model systems.

KW - Cross-species translation

KW - Diabetes

KW - Hybrid receptor

KW - IGF1 receptor

KW - Insulin receptor

KW - Monoclonal antibodies

U2 - 10.1016/j.jim.2018.11.014

DO - 10.1016/j.jim.2018.11.014

M3 - Journal article

C2 - 30500329

AN - SCOPUS:85057458320

VL - 465

SP - 20

EP - 26

JO - Journal of Immunological Methods

JF - Journal of Immunological Methods

SN - 0022-1759

ER -

ID: 217108186