Advance Bioinformatics Core

先进生物信息学核心将分析和整合来自多个来源的数据，例如， 亲和纯化-质谱法(AP-MS)、染色质免疫沉淀 然后用DNA测序(ChlP-Seq)、RNA-Seq等方法进行基因表达 确定心脏分化过程中与生物学相关的细胞途径和过程。它会让你 使用新的程序，例如用于AP-MS数据的MIST和由 Gladstone生物信息学核心，用于准确分析ChlP-Seq和RNA-Seq数据。这个核心将 利用现有Gladstone生物信息学核心中的专业知识，但专注于蛋白质-蛋白质 相互作用数据及其与其他基因调控数据集的整合以建立组合 在心脏分化过程中控制基因表达的相互作用。 相关性(请参阅说明)： 我们在这项研究中发现的网络将告诉我们对分子指令的理解 制造心脏的胚胎，提供识别治疗靶点所需的潜在知识 治疗心力衰竭或严重心脏损伤的方法。

The Advanced Bioinformatics Core will analyze and integrate data from multiple sources, e.g., affinity purification followed by mass spectrometry (AP-MS), chromatin immunoprecipitation followed by DNA sequencing (ChlP-Seq), gene expression by RNA-Seq and other methods to identify biologically relevant cellular pathways and processes in cardiac differentiation. It will make use of novel programs such as MiST for AP-MS data and other algorithms developed by the Gladstone Bioinformatics Core to accurately analyze ChlP-Seq and RNA-Seq data. This core will leverage the expertise in the existing Gladstone Bioinformatics Core but focus on protein-protein interaction data and its integration with other gene regulatory datasets to establish combinatorial interactions that control gene expression during cardiac differentiation. RELEVANCE (See instructions): The networks we uncover in this study will inform our understanding of the molecular instrucfions that enable the embryo to make a heart, providing the underlying knowledge necessary to identify targets for therapeufic approaches to heart failure or severe heart damage.