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Analyzing Tumor and Tissue Distribution of Target Antigen Specific Therapeutic Antibody
Published on: May 16, 2020
Labeling tumor cells with fluorescent nanocrystal-aptamer bioconjugates
Ted C Chu1, Felice Shieh, Laura A Lavery
1Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, United States.
Biosensors & Bioelectronics
|February 24, 2006
Summary
Aptamers linked to luminescent nanocrystals specifically target prostate specific membrane antigen (PSMA)-expressing cells. This powerful tool enables cellular imaging, even within simulated tissue environments.
Area of Science:
- Biotechnology
- Nanotechnology
- Cellular Imaging
Background:
- Prostate specific membrane antigen (PSMA) is a key biomarker in prostate cancer.
- Developing targeted probes for PSMA is crucial for diagnostic and research applications.
- Semiconductor nanocrystals offer unique optical properties for bioimaging.
Purpose of the Study:
- To develop and evaluate aptamer-nanocrystal conjugates for specific cell labeling.
- To assess the targeting capabilities of these conjugates on PSMA-overexpressing cells.
- To explore the utility of aptamer-nanocrystal probes in a simulated tissue environment.
Main Methods:
- Conjugation of aptamers targeting PSMA to luminescent cadmium selenide (CdSe) and cadmium telluride (CdTe) nanocrystals.
- Cell-labeling studies using fixed and live cells with varying PSMA expression levels.
- Evaluation of probe performance in a 3D collagen gel matrix.
Main Results:
- Aptamer-nanocrystal conjugates demonstrated specific binding to cells overexpressing PSMA.
- Successful labeling of both live and fixed PSMA-positive cells was achieved.
- The conjugates effectively labeled cells within a collagen gel, mimicking in vivo conditions.
Conclusions:
- Aptamer-nanocrystal conjugates are effective tools for specific cellular imaging of PSMA-expressing cells.
- The combination of aptamer specificity and nanocrystal properties provides a versatile platform for bioimaging.
- This approach shows promise for applications in diagnostics and research, particularly in complex biological matrices.

