课题基金 / 基金详情

High-throughput quantification of the interactions between biomolecules and cells with engineered surfaces

High-throughput quantification of the interactions between biomolecules and cells with engineered surfaces
通过工程表面对生物分子和细胞之间的相互作用进行高通量定量
批准号:
RGPIN-2014-03829
负责人:
Nicolau, Dan
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

项目摘要

项目成果

Nicolau, Dan的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The study of the complex behaviour of biological systems often asks for a large scale experimentation approach, to comprehensively describe their responses to a large variety of perturbation parameters. In the last decades, this large scale experimentation approach has been made possible due to the miniaturisation of biochemical and (more recently) cell-based tests. While these techniques present a certain degree of empirical, `brute force' probing of the systems studied, the ultimate goal of this powerful methodology is the prediction of the behavior of biological systems based on the deciphering the underlying mechanisms, rather than the prediction based on empirical observation. Usually, large scale experimentation has been used for `omics' applications, e.g., genomics, proteomics, metabolomics, for the benefits of drug discovery, but the methodology has been used for other applications, e.g., the discovery of new materials and biomaterials. To this end, the long term objective of the proposed program is to progress the understanding-based prediction of the behavior of hybrid systems comprising biomolecules, in particular proteins; and cells, in particular microorganisms, interfaced with artificial surfaces and structures. This objective will be fulfilled through a programmatic progression from (i) large scale, standardized experimentation yielding comprehensive empirical data; to (ii) construction of semi-empirical correlations between the parameters of the biological component, i.e., biomolecule, cell; and those of the artificial component, i.e., surfaces, micro/nano-structures; to (iii) model-based predictions of the behavior of the systems of interest; thus allowing for engineering-style design, fabrication and operation of hybrid bio-nano-devices.In the short term, the program aims to (i) develop an experimental platform that integrates microfluidics, microarrays, biosensors and MEMS elements for the combinatorial study of interactions of biomolecules and cells with engineered surfaces; (ii) collect data regarding protein adsorption and bioactivity from large scale, standardized experimentation; and find statistical relationships regarding protein adsorption between protein properties; surface properties; and fluid properties; (iii) derive design rules for nano-structured surfaces specifically interfacing individual protein molecules; and (iv) demonstrate the quantification of the motility of biological systems, i.e., cytoskeletal proteins and motile microorganisms, as an ultimate reporter of the bioactivity of the system interfacing artificial structures and surfaces.The program deliverables are linked to various levels of impact. Firstly, the methodological advances will demonstrate the use of the integrated combinatorial-testing device, which will help the standardization and efficiency of relevant studies in the area of microbiology, drug discovery, diagnostics and fundamental molecular biology studies. Second, the fabrication of structures that induce a specific biological behavior, e.g., antifouling, selective adsorption, bioactivity preservation, will impact on areas as diverse as surgical instruments, implants, diagnostic devices, consumer products, food processing, air conditioning equipment, antifouling of ships, etc. Considering biomaterials only (a $8bn market), the possibility of quick "design & test" of personalised biomaterials will greatly amplify the capacity of addressing the patient's, rather than a generic medical condition. Third, the quick and comprehensive quantification of the motility of cytoskeleton filaments and microorganisms, on drug discovery for e.g., cancer, neurodegenerative diseases; or new, virulent hospital-based infectious diseases - a particular problem for Canada.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Biological microfluidics
  • 批准号:
    RGPIN-2022-04053
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.01万
  • 财政年份:
    2022
  • 负责人:
    Nicolau, Dan
  • 依托单位:
Dynamic nanodevices using protein molecular motors
  • 批准号:
    RGPIN-2016-05019
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Nicolau, Dan
  • 依托单位:
Dynamic nanodevices using protein molecular motors
  • 批准号:
    RGPIN-2016-05019
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    Nicolau, Dan
  • 依托单位:
Dynamic nanodevices using protein molecular motors
  • 批准号:
    RGPIN-2016-05019
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2019
  • 负责人:
    Nicolau, Dan
  • 依托单位:
国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位:
高维半参数模型的稳健统计推断
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    姜云卢
  • 依托单位:
玉米幼苗干旱胁迫应答NAC转录因子基因的筛选和鉴定
  • 批准号:
    31201268
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2012
  • 负责人:
    韩兆雪
  • 依托单位: