| Title |
Selection of a breast cancer subpopulation-specific antibody using phage display on tissue sections
|
|---|---|
| Published in |
Immunologic Research, May 2015
|
| DOI | 10.1007/s12026-015-8657-x |
| Pubmed ID | |
| Authors |
Simon Asbjørn Larsen, Theresa Meldgaard, Agla J. Fridriksdottir, Simon Lykkemark, Pi Camilla Poulsen, Laura F. Overgaard, Helene Bundgaard Petersen, Ole William Petersen, Peter Kristensen |
| Abstract |
Breast cancer tumors are composed of heterogeneous cell populations. These populations display a high variance in morphology, growth and metastatic propensity. They respond differently to therapeutic interventions, and some may be more prone to cause recurrence. Studying individual subpopulations of breast cancer may provide crucial knowledge for the development of individualized therapy. However, this process is challenged by the availability of biomarkers able to identify subpopulations specifically. Here, we demonstrate an approach for phage display selection of recombinant antibody fragments on cryostat sections of human breast cancer tissue. This method allows for selection of recombinant antibodies binding to antigens specifically expressed in a small part of the tissue section. In this case, a CD271(+) subpopulation of breast cancer cells was targeted, and these may be potential breast cancer stem cells. We isolated an antibody fragment LH 7, which in immunohistochemistry experiments demonstrates specific binding to breast cancer subpopulations. The selection of antibody fragments directly on small defined areas within a larger section of malignant tissue is a novel approach by which it is possible to better target cellular heterogeneity in proteomic studies. The identification of novel biomarkers is relevant for our understanding and intervention in human diseases. The selection of the breast cancer-specific antibody fragment LH 7 may reveal novel subpopulation-specific biomarkers, which has the potential to provide new insight and treatment strategies for breast cancer. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Unknown | 48 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 20% |
| Student > Master | 8 | 16% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 20% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Immunology and Microbiology | 4 | 8% |
| Chemical Engineering | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2015.
All research outputs
#20,271,607
of 22,803,211 outputs
Outputs from Immunologic Research
#756
of 904 outputs
Outputs of similar age
#222,159
of 264,485 outputs
Outputs of similar age from Immunologic Research
#14
of 18 outputs
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