Understanding protein function requires knowledge about a protein's localization and trafficking. This is particularly important in neurons due to their complex morphology and polarized shape. Tagging proteins with either isotopes or fluorescent tags to trace them as biomarkers has become a widely used tool in biomedical science. However, when proteins are modified by a tag, normal protein interactions, trafficking and signaling may be compromised, and rigorous validation is required in order to have confidence in the data obtained with the biomarker. Currently, there is great enthusiasm and expectations for the use of quantum dots (QDs), because they have bright fluorescence, differential spectra, superb resolution, and they are electron dense, allowing for direct ultrastructural localization. However, QD tags are comparable in size to small proteins, and recent evidence indicates that QD conjugation to proteins can alter the function and trafficking of tagged proteins. The planned collaboration between two labs with unique and complementary expertise provides the opportunity to explore and answer these questions. We propose to compare the behavior of eight QD-tagged proteins from several different protein classes with the corresponding """"""""normal"""""""" protein, minimally modified by radio-iodination. Our proposal entails three approaches that are novel in their combination: comparison of protein trafficking with a """"""""gold standard"""""""" calibration, examination in two advantageous in-vivo model systems, and evaluation at highest resolution - the ultrastructural (electron microscopic) level. This work will result in a step-by-step methodological paper that will provide guidelines for users of QD-tagged proteins as biomarkers how to validate their QD-tagged proteins. We will also determine optimal conjugation schemes and QD sizes that are most suitable for use as biomarkers. While we are most interested in this question for neuronal protein trafficking and signaling, and use of QD-labeled molecules as diagnostic and therapeutic tools, the expected results should be relevant for a wide range of tissue types and cell biological questions extending beyond biomarker use in neuroscience.

Public Health Relevance

Quantum dot-labeled proteins have great promise in basic research and they are proposed as diagnostic as well as therapeutic biomedical tools. Prior to their use as biomarkers, validation has to occur in in-vivo model systems, to identify changes in trafficking, kinetics, signaling and receptor binding that may impose inherent limitations and compromise optimal utility.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21NS073113-02
Application #
8130807
Study Section
Neurotechnology Study Section (NT)
Program Officer
Gwinn, Katrina
Project Start
2010-09-01
Project End
2014-08-31
Budget Start
2011-09-01
Budget End
2014-08-31
Support Year
2
Fiscal Year
2011
Total Cost
$176,547
Indirect Cost
Name
University of Nevada Reno
Department
Physiology
Type
Schools of Medicine
DUNS #
146515460
City
Reno
State
NV
Country
United States
Zip Code
89557
Vu, Tania Q; Lam, Wai Yan; Hatch, Ellen W et al. (2015) Quantum dots for quantitative imaging: from single molecules to tissue. Cell Tissue Res 360:71-86
von Bartheld, Christopher S; Wouters, Fred S (2015) Quantitative techniques for imaging cells and tissues. Cell Tissue Res 360:1-4
Von Bartheld, Christopher S; Altick, Amy L (2011) Multivesicular bodies in neurons: distribution, protein content, and trafficking functions. Prog Neurobiol 93:313-40