Single-Cell and Spatial Transcriptomics Core

单细胞和空间转录组学（SCST）核心 单细胞转录组学允许研究人员分析疾病状态中的组织异质性和复杂性。 这些技术为旨在发现新的疾病特异性细胞的研究策略增添了巨大的价值 表面标志物、药物靶点、肿瘤的分子亚型等。然而，常见的单细胞组学平台 受限于高成本和获得稳健的计算分析。单细胞和空间的目标 转录组学（SCST）的核心是降低单细胞和空间转录组学技术的进入门槛 以合理的费用为CMTDD调查人员和更广泛的UNMC社区提供咨询， 为培训新用户提供技术援助，使用户能够分析复杂的数据集，并保持适应能力， 根据需要增加联合国军事委员会社区的能力和工具。工作假设是， 获得这些新兴而强大的技术将在后端以更多的形式支付红利。 有影响力的出版物和更高的赠款资助率。为了实现这些目标，我们将为用户提供 足够的低成本设备、咨询和计算工具来分析单细胞和空间 转录组学数据。Shalek小组的开创性工作确定了一种基于液滴的低成本解决方案， scRNA-seq称为Seq-Well，以生成高质量的文库。我们已经成功地实施了Seq-Well， UNMC和生成具有独特生物学见解的高质量数据。我们的核心还将提供补贴 空间转录组学（MERSCOPE）。因此，SCST核心将提供低成本的Seq-Well接入 和MERSCOPE，为组织和细胞的高分辨率分子谱分析提供了一系列选择 复杂系统中的异质性在联合国监测委员会采用这些工具将使调查人员能够 创新的研究领域。SCST将确保尖端的计算工具可用于 希望自己进行严格的数据分析并预测和开发新的低成本"组学"的用户 技术.通过降低获得这些技术的财务门槛， 将增加，提高出版物的影响因素，赠款资金，专利和教师招聘到UNMC。

Project Summary: Single-Cell and Spatial Transcriptomics (SCST) Core Single cell transcriptomics permits researchers to analyze tissue heterogeneity and complexity in disease states. These technologies add enormous value to research strategies aimed at discovering new disease-specific cell surface markers, drug targets, molecular subtypes of tumors, etc. However, common single cell-omics platforms are limited by high cost and access to robust computational analysis. The goals of the Single-Cell and Spatial Transcriptomics (SCST) Core are to lower barriers of entry to single cell and spatial transcriptomics technologies for CMTDD investigators and the broader UNMC community at a reasonable cost, offer consultations and technical assistance for training new users, enable users to analyze complex datasets, and remain adaptable to increase capacity and tools as needed from the UNMC community. The working hypothesis is that increased access to these emergent and powerful technologies will pay dividends on the back end in the form of more impactful publications and a higher rate of grant funding. To achieve these goals, we will provide users with sufficient low-cost equipment, consultations, and computational tools to analyze single cell and spatial transcriptomics data. Pioneering work in the Shalek group identified a lower cost solution to droplet based scRNA-seq called Seq-Well to generate high quality libraries. We have successfully implemented Seq-Well at UNMC and generated hiqh quality data with unique biological insights. Our core also will provide subsidized access to spatial transcriptomics (MERSCOPE). Thus, the SCST core will provide low-cost access to Seq-Well and MERSCOPE, allowing for a range of options for high resolution molecular profiling of tissue and cellular heterogeneity in complex systems. Implementation of these tools at UNMC will enable investigators to develop innovative new research areas. The SCST will ensure that cutting edge computational tools are available to users who want to conduct their own rigorous data analysis and anticipate and develop new low-cost “omics” technologies. By lowering the financial bar of access to these technologies, research program competitiveness will increase, enhancing publication impact factors, grant funding, patents, and faculty recruitment to UNMC.