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) 休斯顿大学克利尔湖分校 (UHCL) 获得了集成基质辅助激光解吸 - 飞行时间质谱 (MALDI-ToF MS) / 傅里叶变换红外光谱仪的奖项该奖项将建立一个由 UHCL、月球行星研究所、德克萨斯理工大学和该地区其他几家机构共享的用户实验室，其中包括 NASA 约翰逊航天中心、德克萨斯南方大学（德克萨斯南方大学）。历史上的布莱克大学）和休斯顿市中心大学（HSI）为了协调用户之间的方法，将完善样品制备协议的虚拟实验室模拟，主要用户将是基于课程的本科生研究经验（CURE）的本科生。学生的项目将包括识别抗生素抗性细菌和追踪河口系统中粪便污染的来源，识别可以提高行农业产量和可持续性的细菌，以及识别在 NASA 设施和航天器中发现的细菌。通过在学位计划的早期让学生和研究人员参与真实的研究，改善数百名学生的成果，这些学生来自传统上在科学领域代表性不足的群体，学生和研究人员生成的质谱将通过专用服务器共享，为科学界提供资源。 .许多以前被认为不可培养的细菌似乎可以通过新策略进行培养；然而，对这些方法的评估取决于对数十个文库与每个文库中数百个分离株的比较，使用依赖于测序的技术对文库进行系统比较。鉴于这些挑战，宿主相关微生物组和微生物群落的“黑匣子”描述仍然很差，很少有代表性的 MALDI-ToF 系统能够让用户每周处理数千个分离株。这种高通量蛋白质组学方法可以轻松区分细菌种类，并且在与深层质谱数据库结合使用时，将加速发现具有有益特性的细菌，例如促进植物生长。将该系统的分辨率提高到与全基因组测序相当的水平，这将有助于识别建筑和自然系统的微生物污染源。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估而被认为值得支持。影响审查标准。