Equipment: MRI: Track 1 Acquisition of a MALDI-TOF/FTIR System to Support Course-Based Undergraduate Research Experiences in Biological and Computational Sciences at an HSI

设备： MRI：轨道 1 采购 MALDI-TOF/FTIR 系统，以支持 HSI 生物和计算科学方面基于课程的本科生研究经验

• 批准号: 2320765
• 负责人: Michael LaMontagne
• 金额: $ 34.95万
• 依托单位: University of Houston - Clear Lake
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320765&HistoricalAwards=false
• 关键词: Equipment; MRI; Track; Acquisition; MALDI

An award is made to the University of Houston – Clear Lake (UHCL), a Hispanic Serving Institution (HSI), to obtain an integrated matrix-assisted laser desorption – time of flight mass spectrometry (MALDI-ToF MS) / Fourier transform infrared spectroscopy (FTIRspec) system. This award will establish a user-laboratory shared by UHCL, the Lunar Planetary Institute, Texas Tech University and several other institutions in the region, including the NASA Johnson Space Center, Texas Southern University (a Historically Black University) and the University of Houston-Downtown (a HSI). To align methods between users, a virtual lab simulation of sample preparation protocols will be refined. The primary users will be undergraduates in course-based undergraduate research experiences (CUREs). Students’ projects will include identifying antibiotic-resistant bacteria and tracking the source of fecal contamination in estuarine systems, identifying bacteria that can improve the yield and sustainability of row agriculture and identifying bacteria found in NASA facilities and spacecraft. Participation in these CUREs will improve outcomes for hundreds of students, from groups who have been traditionally underrepresented in science, by engaging them in authentic research early in their degree plan. Mass spectra students and researchers generate will be shared through a dedicated server to provide a resource to the scientific community.Cultivation of many bacteria that have been previously considered unculturable appears possible with novel strategies; however, evaluation of these approaches depends on comparisons of dozens of libraries with hundreds of isolates in each library. Systematic comparisons of libraries with sequencing-dependent techniques, like 16S rRNA gene sequencing, is prohibitively expensive. Given these challenges, host-associated microbiomes, and microbial communities in general, remain poorly described “black boxes,” with few representative isolates. MALDI-ToF systems enable users to process thousands of isolates a week for pennies per isolate. This high throughput proteomics method can readily differentiate species of bacteria and, when coupled to a deep database of mass spectra, will accelerate the discovery of bacteria with beneficial traits, like plant growth promotion. Integration of FTIRspec increases the resolution of the system to a level comparable to whole genome sequencing. This will facilitate identifying the source of microbial contamination of built and natural systems.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.

西班牙裔服务机构（HSI）颁发了休斯敦大学 - 清克湖（UHCL），以获得综合基质辅助激光解吸 - 飞行质谱时间（MALDI-TOF MS） /傅立叶型质量光谱时间 /傅立叶变换Infrared Infrared Infrared Spectroscoppopy（FTIRSPEC）系统。该奖项将建立由UHCL，Lunar Planetary Institute，Texas Tech大学以及该地区其他几家机构共享的用户实验室，包括NASA Johnson航天中心，德克萨斯州南部大学（历史悠久的黑人大学）和休斯敦 - 唐敦大学（HSI）。为了使用户之间的方法对齐，将完善对样本准备协议的虚拟实验室模拟。主要用户将是基于课程的本科研究经验（治疗）的大学生。学生的项目将包括识别抗生素耐药菌的细菌，并跟踪Etiqurine系统中粪便污染的来源，鉴定可改善行农业的产量和可持续性并鉴定在NASA设施中发现的细菌的细菌。参与这些治疗方法将通过在学位计划的早期参与真实研究，从而改善数百名学生的成果，从传统上的科学领域不足。群众谱系学生和研究人员生成的将通过专用服务器分享，以向科学界提供资源。许多以前认为不可养殖的细菌的培养似乎可以通过新颖的策略来进行。但是，对这些方法的评估取决于对每个库中数百个库的数十个库的比较。禁止将文库与测序依赖性技术（如16S rRNA基因测序）进行系统的比较。考虑到这些挑战，与宿主相关的微生物组和微生物群落一般而言，仍然描述了“黑匣子”，几乎没有代表性的分离株。 MALDI-TOF系统使用户能够每周处理数千个孤立的分离，每个分离株的便士。这种高吞吐量蛋白质组学方法可以很容易地区分细菌的物种，并且当耦合到质谱的深度数据库时，将加速具有有益特征的细菌，例如植物生长的促进。 FTIRSPEC的集成将系统的分辨率提高到与整个基因组测序相当的水平。这将有助于确定建筑和自然系统的微生物污染的来源。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被视为通过评估来获得珍贵的支持。