Collaborative Research: New class of near-infrared fluorophores derived from DNA-templated silver clusters for deep tissue imaging
Collaborative Research: New class of near-infrared fluorophores derived from DNA-templated silver clusters for deep tissue imaging
批准号:
2025790
负责人:
Stacy Copp
金额:
$33.08万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-02-29
中文摘要
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英文摘要
Since near-infrared (NIR) light penetrates much farther into biological tissues than visible light, NIR fluorescence microscopy allows noninvasive imaging deep into tissues and even whole organisms. However, deep tissue imaging is currently hindered by a lack of small, bright, non-toxic biolabels that emit NIR light. This project will develop brightly fluorescent NIR biolabels by harnessing a class of promising tunable nanomaterials called DNA-templated silver clusters. Silver-cluster design and discovery will be carried out with novel machine-learning algorithms that learn from experimental materials and inform design. The optimized NIR biolabels will be employed to study endocrine hormones central to metabolic and cardiovascular disease and will also be broadly applicable for biomedical research in other areas, such as tumor formation and metastasis. Undergraduate and graduate student researchers participating in this project will receive multidisciplinary training at the unique intersection of biophotonics, nanomaterials, and data science, and research opportunities for undergraduates will focus on California community college students and transfer students. In the second near-infrared window (NIR-II: 1,000-1,700 nm), biological tissues are transparent up to several centimeters depth, making this spectral window ideal for deep tissue imaging. However, most NIR-II fluorophores suffer from low fluorescence brightness, toxicity, or large physical size. This project investigates promising yet underexplored fluorescent DNA-templated silver clusters (Ag-DNAs) to develop small, stable, and modular NIR-II biolabels with broad applicability for deep tissue imaging. Ag-DNAs are composed of 10-30 silver atoms stabilized by short DNA oligonucleotides, with 500-1000 nm fluorescence colors selected by the DNA sequence. High throughput experimentation and custom multi-objective machine learning models will be developed to significantly extend the color palette of Ag-DNAs into the NIR-II and optimize Ag-DNAs as stable, biocompatible fluorophores. As a proof-of-principle, designed NIR-II-Ag-DNAs will be chemically attached to endocrine hormone proteins to track metabolic hormones in vivo. This project significantly advances the scientific framework for engineering metal clusters as novel fluorophores and, more broadly, for data-driven design of biopolymer-based biophotonic materials.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(10)
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科研奖励(0)
会议论文
DOI:
10.1039/d3cc02896h
发表时间:
2023-07-27
期刊:
CHEMICAL COMMUNICATIONS
影响因子:
4.9
作者:
[Guha, Rweetuparna, Rafik, Malak, Copp, Stacy M.]
通讯作者:
Copp, Stacy M.
DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders
通过正则化变分自动编码器设计 DNA 稳定的银纳米簇
DOI:
10.1145/3534678.3539032
发表时间:
2022
期刊:
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
影响因子:
--
作者:
[Moomtaheen, Fariha, Killeen, Matthew, Oswald, James, Gonzàlez-Rosell, Anna, Mastracco, Peter, Gorovits, Alexander, Copp, Stacy M., Bogdanov, Petko]
通讯作者:
Bogdanov, Petko
DOI:
10.1021/acs.jpclett.0c03688
发表时间:
2021-01-21
期刊:
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
影响因子:
5.7
作者:
[Liisberg, Mikkel B., Kardar, Zahra Shakeri, Vosch, Tom]
通讯作者:
Vosch, Tom
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