Detecting Cancer at the Single-Cell Level Using Endogenous Signal Biomolecular Sensors

使用内源信号生物分子传感器在单细胞水平检测癌症

基本信息

  • 批准号:
    1105524
  • 负责人:
  • 金额:
    $ 33.46万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-09-01 至 2015-08-31
  • 项目状态:
    已结题

项目摘要

Cancer is a class of cellular diseases characterized by uncontrolled growth, invasion, and metastasis. Although cancer is multifaceted with complex underlying genetic determinants, emerging evidence points to common signatures at the level of intracellular signaling across different tissue and cancer types. A system capable of detecting combinations of these intracellular molecular signals in cells has significant potential for the diagnosis, prevention, treatment, and monitoring of the disease at a single-cell level. Recently, scientists have developed first generation genetic circuits and sensors that operate as information processing systems in cells. The proposed research will develop and study molecular biosensors engineered to detect and monitor endogenous microRNAs, a class of small, noncoding RNAs that regulate gene expression by targeting RNA transcripts. The objectives of the proposed research are to: (a) design and optimize molecular biosensors that respond with sensitivity and specificity to combinations of endogenous microRNAs, (b) develop monoclonal tumor cell lines with integrated biosensors based on the NCI-60 panel, and (c) study microRNAs and their relationship to disease by monitoring their expression through the cell cycle in response to drug treatment.Intellectual merit: MicroRNAs have emerged as important modulators in both development and disease, including cancer. Experimental evidence implicates aberrant microRNA expression profiles in most human malignancies. The ability to process microRNA information reliably (with single-cell resolution) will generate new tools for basic cancer research and lead to new cancer treatment modalities. Specifically, the application of the microRNA biosensors to tumor cell lines will dramatically advance our understanding of microRNA expression and dynamics in living cells. The development of monoclonal cell lines with the selected microRNA sensors will pave the way for a new class of tools for the study of microRNAs. This will be a major new direction that will spark a range of equivalent studies in other cell lines and with other microRNAs. Broader impact: The experiments will be performed in NCI-60 colon, hematologic, lung, and pancreatic tumor cell lines. The criteria for the selection of the particular cell lines was based: on the prevalence of lung cancer and colon cancer in the United States (the leading cause of cancer death for both men and women and the second leading cause of cancer deaths for both men and women combined, respectively); because pancreatic and hematologic cancers have very poor 5-year survival (pancreatic cancer in particular) underscoring the urgent need for new diagnostic and treatment tools. The collection of monoclonal cell lines harboring the biomolecular networks will be made available to the scientific community. The proposed research will also form an educational platform where students will be exposed to an integrated research environment, combining theory and experiments at the intersection of biology and engineering.
癌症是一类以不受控制的生长、侵袭和转移为特征的细胞疾病。虽然癌症是多方面的,具有复杂的潜在遗传决定因素,但新出现的证据表明,在不同组织和癌症类型的细胞内信号传导水平上存在共同的特征。能够检测细胞中这些细胞内分子信号的组合的系统对于在单细胞水平上诊断、预防、治疗和监测疾病具有显著的潜力。最近,科学家们已经开发出第一代遗传电路和传感器,它们在细胞中作为信息处理系统运行。拟议的研究将开发和研究分子生物传感器,用于检测和监测内源性microRNA,这是一类通过靶向RNA转录物调节基因表达的小的非编码RNA。本研究的目标是:(a)设计和优化对内源性microRNA组合具有灵敏度和特异性的分子生物传感器;(B)开发基于NCI-60面板的具有集成生物传感器的单克隆肿瘤细胞系;(c)通过监测microRNA在细胞周期中的表达来研究其与疾病的关系。微小RNA已成为发育和疾病(包括癌症)的重要调节剂。实验证据表明,在大多数人类恶性肿瘤中存在异常的microRNA表达谱。可靠地处理microRNA信息(单细胞分辨率)的能力将为基础癌症研究提供新的工具,并导致新的癌症治疗模式。具体来说,microRNA生物传感器在肿瘤细胞系中的应用将极大地促进我们对活细胞中microRNA表达和动力学的理解。使用选定的microRNA传感器开发单克隆细胞系将为一类新的microRNA研究工具铺平道路。这将是一个重要的新方向,将引发其他细胞系和其他microRNA的一系列等效研究。更广泛的影响:实验将在NCI-60结肠、血液、肺和胰腺肿瘤细胞系中进行。选择特定细胞系的标准基于:美国肺癌和结肠癌的患病率(分别是男性和女性癌症死亡的主要原因,以及男性和女性癌症死亡的第二大原因);因为胰腺癌和血液癌的5年生存率很低,(特别是胰腺癌)的发展强调了对新的诊断和治疗工具的迫切需要。将向科学界提供含有生物分子网络的单克隆细胞系的集合。拟议的研究还将形成一个教育平台,学生将接触到一个综合的研究环境,在生物学和工程学的交叉点结合理论和实验。

项目成果

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Leonidas Bleris其他文献

Clinical gene therapy development for the central nervous system: Candidates and challenges for AAVs
中枢神经系统临床基因治疗的发展:AAV 的候选药物和挑战
  • DOI:
    10.1016/j.jconrel.2023.04.009
  • 发表时间:
    2023-05-01
  • 期刊:
  • 影响因子:
    11.500
  • 作者:
    Tiffany W. Leong;Arindam Pal;Qi Cai;Zhenghong Gao;Xiaoqing Li;Leonidas Bleris;Heather N. Hayenga;Zhenpeng Qin
  • 通讯作者:
    Zhenpeng Qin

Leonidas Bleris的其他文献

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{{ truncateString('Leonidas Bleris', 18)}}的其他基金

EAGER: PUF-based Probe Design for Secure Access to DNA Storage
EAGER:基于 PUF 的探针设计,用于安全访问 DNA 存储
  • 批准号:
    2300340
  • 财政年份:
    2023
  • 资助金额:
    $ 33.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Genome editing approaches to unravel microRNA roles in stochastic multistable networks
合作研究:基因组编辑方法揭示随机多稳态网络中 microRNA 的作用
  • 批准号:
    2114192
  • 财政年份:
    2021
  • 资助金额:
    $ 33.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Unraveling extracellular microRNA communication
合作研究:解开细胞外 microRNA 通讯
  • 批准号:
    2029121
  • 财政年份:
    2020
  • 资助金额:
    $ 33.46万
  • 项目类别:
    Standard Grant
CAREER: Versatile transcription activator-like effector libraries for genome-wide screens
职业:用于全基因组筛选的多功能转录激活子样效应子库
  • 批准号:
    1351354
  • 财政年份:
    2014
  • 资助金额:
    $ 33.46万
  • 项目类别:
    Continuing Grant

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中国北方人群肺癌患者Cancer/Testis抗原表达谱绘制表位鉴定及功能性抗原特异性CTL制备研究
  • 批准号:
    81673007
  • 批准年份:
    2016
  • 资助金额:
    54.0 万元
  • 项目类别:
    面上项目

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From single-cell transcriptomic to single-cell fluxomic: characterising metabolic dysregulations for breast cancer subtype classification
从单细胞转录组到单细胞通量组:表征乳腺癌亚型分类的代谢失调
  • 批准号:
    EP/Y001613/1
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Decoding the impact of single cell mutational processes in triple negative breast cancer and high grade serous ovarian cancer
解读单细胞突变过程对三阴性乳腺癌和高级别浆液性卵巢癌的影响
  • 批准号:
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Single-Molecule High-Confidence Detection of miRNA Cancer Biomarkers
miRNA 癌症生物标志物的单分子高置信度检测
  • 批准号:
    10612611
  • 财政年份:
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    $ 33.46万
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Quantifying replication dynamics to predict clonal evolution and drug sensitivity in cancer cells using single-cell whole genome sequencing
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Single-Cell, Spatial and Functional Dissection of Cancer Cell States, Co-Evolving Ecosystems, and Vulnerabilities During Tumor Progression and Metastasis
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A single-arm phase II study to evaluate the safety and efficacy of combination systematic chemotherapy and multiple rounds of endoscopic ultrasound-guided radiofrequency ablation in pancreatic cancer
评估联合系统化疗和多轮内镜超声引导射频消融治疗胰腺癌的安全性和有效性的单组 II 期研究
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多模式单细胞数据的癌症耐药性和转移的因果决定因素
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