MRI: Acquisition of a quantitative real-time gene expression monitoring system for undergraduate research and teaching at Pace University 2016
MRI:2016年佩斯大学采购用于本科生研究和教学的定量实时基因表达监测系统
基本信息
- 批准号:1625841
- 负责人:
- 金额:$ 3.35万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
An award is made to Pace University to acquire a quantitative real-time gene expression monitoring system for use in undergraduate research and teaching. This equipment will support the participation of undergraduate students, with a focus on women and underrepresented minorities, in biological research. Research training utilizing this equipment will allow students to design, execute, and analyze research projects at the cutting edge of biological research in areas that have not yet been fully explored. Additionally, this equipment will allow for the development and testing of a flexible genetics and molecular biology curriculum that is proven to enhance student learning and can be implemented by any institution to facilitate student engagement in discovery-driven research projects.The students and faculty using this equipment will be answering research questions in a broad range of areas, including how cells divide, how fish and bacteria responds to stress, how viruses survive in the host, and how an organism responds to changes in diet. The answers to these questions will increase students' understanding of basic aspects of ecology, evolution, cancer biology, cell biology, developmental biology, immunology, and microbiology. Moreover, this equipment will support original research to further the understanding of how genes are regulated, thereby providing insight into a variety of biological systems.
佩斯大学获得了用于本科生研究和教学的定量实时基因表达监测系统的奖励。该设备将支持本科生(特别是女性和代表性不足的少数族裔)参与生物学研究。利用该设备的研究培训将使学生能够在尚未充分探索的领域设计、执行和分析处于生物研究前沿的研究项目。此外,该设备将允许开发和测试灵活的遗传学和分子生物学课程,该课程已被证明可以增强学生的学习,并且可以由任何机构实施,以促进学生参与发现驱动的研究项目。使用该设备的学生和教师将回答广泛领域的研究问题,包括细胞如何分裂、鱼类和细菌如何应对压力、病毒如何在宿主中生存以及生物体如何 对饮食的变化做出反应。这些问题的答案将增加学生对生态学、进化论、癌症生物学、细胞生物学、发育生物学、免疫学和微生物学基本方面的理解。此外,该设备将支持原始研究,以进一步了解基因如何调节,从而提供对各种生物系统的深入了解。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Matthew Marcello其他文献
THE SMART-AI TRIAL: REAL-TIME CHOLANGIOSCOPY ARTIFICIAL INTELLIGENCE FOR THE CLASSIFICATION OF INDETERMINATE BILIARY STRICTURES
SMART - AI试验:用于不确定胆管狭窄分类的实时胆管镜检查人工智能
- DOI:
10.1016/j.gie.2025.03.008 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:7.500
- 作者:
Neil B. Marya;Patrick D. Powers;Matthew Marcello;Prashanth Rau;Navine Nasser-Ghodsi;Christopher A. Marshall;Jaroslav Zivny;Eric Then;Zachary DeVore;Shiva Poola;Peter Sullivan;Jad P. AbiMansour;Vinay Chandrasekhara - 通讯作者:
Vinay Chandrasekhara
HUMAN ASSESSMENT VERSUS REAL-TIME CHOLANGIOSCOPY-ARTIFICIAL INTELLIGENCE FOR THE CLASSIFICATION OF INDETERMINATE BILIARY STRICTURES: POST-HOC ANALYSIS OF THE SMART-AI TRIAL
人评估与实时胆管镜检查 - 人工智能用于不确定胆管狭窄的分类:SMART - AI试验的事后分析
- DOI:
10.1016/j.gie.2025.03.672 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:7.500
- 作者:
Neil B. Marya;Patrick D. Powers;Matthew Marcello;Navine Nasser- Ghodsi;Prashanth Rau;Jad P. AbiMansour;Kanishka Bhattacharya;Christopher A. Marshall;Rishad Khan;Ryan Law;Samuel Han;Zachary DeVore;Eric Then;Jaroslav Zivny;Gustavo Churrango;Mark Hanscom;Andrew C. Storm;Shiva Poola;Peter Sullivan;Eric J. Vargas;Vinay Chandrasekhara - 通讯作者:
Vinay Chandrasekhara
Matthew Marcello的其他文献
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