Core 2: Computational and Data Integration

计算和数据集成核心摘要 核心C的主要目标是加强纽约大学朗格尼健康(NYULH)转移 Research Network Center通过提供标准化、强健和协调的工作流来实现研究目标 获取、分析、集成、可视化和共享来自单细胞RNA测序、空间转录 所有三个研究项目都使用的数字空间剖面图和高度多路复用的显微镜平台 和核心B。 核心C将建立在多维分子和组织组织学数据的基础上，这些数据是通过标本生成的 从基因工程黑色素瘤小鼠模型和患者样本中获得：1)发展和 使用健壮、透明、可重现和可扩展的计算分析管道；2)集成 黑色素瘤细胞、间质成纤维细胞和淋巴结转移驱动分子的时空特征 使用来自互补技术平台的数据；以及3)构建基于Web的仪表板，使基本 科学家和临床医生来分析、探索和可视化这些复杂的分子和空间信息 直观而有意义的方式。 我们设想，我们强大的数据分析管道和交互式数据可视化平台将促进 在更大的转移领域内的学科合作，并激发新的想法，以加强我们的理解 早期肿瘤细胞扩散，肿瘤细胞与其细胞和分子之间的串扰 黑色素瘤转移和转移性癌症进展的微环境和决定因素。

COMPUTATIONAL AND DATA INTEGRATION CORE SUMMARY The primary objective of Core C is to strengthen the New York University Langone Health (NYULH) Metastasis Research Network Center’s research goals by providing standardized, robust, and harmonized workflows to acquire, analyze, integrate, visualize and share data from single cell RNA sequencing, spatial transcriptomics, digital spatial profiling and highly multiplexed microscopy platforms that are utilized by all three research projects and Core B. Core C will build on multi-dimensional molecular and tissue histology data that are generated with specimens obtained from both genetically engineered melanoma mouse models and patient specimens to: 1) develop and use a computational analysis pipeline that is robust, transparent, reproducible and scalable; 2) integrate metastasis driving molecular features of melanoma cells, stromal fibroblasts and lymph-nodes in space and time with data from complementary technology platforms; and 3) build a web based dashboard that will allow basic scientists and clinicians to analyze, explore and visualize this complex molecular and spatial information in an intuitive and meaningful way. We envision that our robust data analysis pipelines and interactive data visualization platforms will foster inter- disciplinary collaborations within the larger metastasis field and spark new ideas to strengthen our understanding of early tumor cell dissemination, cross talk between tumor cells and their cellular and molecular microenvironments and determinants of melanoma metastasis and metastatic cancer progression in general.