A Foundational Resource of Functional Elements, TF footprints and Gene Regulatory Interactions

项目总结 这个项目的目的是组装一个基本的功能DNA元件资源，转录因子(Tf) 基因组变异对功能影响的结合位点和基因调控相互作用(IGVF) 财团。该资源将有助于解释与人类有关的非编码遗传变异 特征和疾病，促进对疾病机制的理解，并加速向基因组方向发展 医药。 大多数与人类疾病相关的遗传变异都是非编码的，这有 阻碍了它们的解释和对疾病的理解。非编码疾病变异体被丰富 在启动子、增强子和转铁蛋白结合位点内。因此，一个令人信服的假设是，它们调节了 功能元件的活性、转铁蛋白的相互作用和特定细胞环境中的基因靶标。为了解释 功能，研究人员必须确定它们影响的元件和/或转铁蛋白，哪个基因是 受影响的状态，以及显示效果的细胞状态。这一过程在很大程度上是由全基因组 功能要素、功能因子和调控相互作用的图谱。然而，现有资源不足。 与疾病相关的功能元件，特定于早期发育阶段，罕见细胞状态， 生理反应、基因类型或疾病状态。 为了克服这些限制，拟议的项目将部署一套创新的单细胞分析 以前所未有的速度分析RNA转录本、染色质可及性、转铁蛋白足迹和组蛋白修饰 比例。这些分析将被应用于大量的表型和基因多样性的集合 选定的生物样本与心血管、代谢、自身免疫、神经精神病学和 神经退行性疾病。我们将为数千个生物样本获取1,600万个单细胞配置文件， SPAN身体组织，手术标本，外周血单个核细胞(PBMC)队列，脑 有机化合物等创新的实验模型。集成这个庞大的数据集将使我们能够(1) 注释数百万个调控元件和Tf基序；(2)从元件的协变预测基因靶标 单个细胞的可及性和基因表达；以及(3)确定基因表达的数量性状基因座 (EQTL)和染色质可及性(CaQTL)来自我们队列中代表的不同的基因类型。 该项目将汇集人类遗传学、疾病生物学、基因组学和 生产研究。该团队将在设计方面与IGVF的同事和DACC密切协调， 这一资源的组装和整合。所有数据都将免费提供并最大限度地供 科学界，目标是促进人类遗传学、疾病生物学和基因组医学。

PROJECT SUMMARY This project aims to assemble a foundational resource of functional DNA elements, transcription factor (TF) binding sites and gene regulatory interactions for the Impact of Genomic Variation on Function (IGVF) consortium. The resource will facilitate interpretation of noncoding genetic variation associated with human traits and diseases, advance understanding of disease mechanisms and hasten progress towards genomic medicine. A large majority of genetic variants associated with human diseases are non-coding, which has hindered their interpretation and utility for understanding disease. Non-coding disease variants are enriched within promoters, enhancers and TF binding sites. Hence, a compelling hypothesis is that they modulate the activity of functional elements, TF interactions and gene targets in specific cellular contexts. To interpret the function of a variant, investigators must determine the element and/or TF that they impact, which gene is affected, and the cell state in which the effect is manifested. This process is greatly facilitated by genome-wide maps of functional elements, TFs and regulatory interactions. However, existing resources under-represent disease-relevant functional elements that are specific to early developmental stages, rare cell states, physiological responses, genotypes or disease states. To overcome these limitations, the proposed project will deploy an innovative suite of single-cell assays to profile RNA transcripts, chromatin accessibility, TF footprints and histone modifications at unprecedented scale. These assays will be applied to an expansive collection of phenotypically- and genotypically-diverse BioSamples selected for their relevance to cardiovascular, metabolic, autoimmune, neuropsychiatric and neurodegenerative diseases. We will acquire >16 million single-cell profiles for thousands of BioSamples that span cadaveric tissues, surgical specimens, peripheral blood mononuclear cell (PBMC) cohorts, brain organoids and other innovative experimental models. Integration of this vast dataset will enable us to (1) annotate millions of regulatory elements and TF motifs; (2) predict gene targets from co-variation of element accessibility and gene expression across single cells; and (3) identify quantitative trait loci for gene expression (eQTLs) and chromatin accessibility (caQTLs) from the diverse genotypes represented in our cohorts. The project will bring together a diverse team of experts in human genetics, disease biology, genomics and production research. The team will coordinate closely with IGVF colleagues and the DACC in the design, assembly and integration of this resource. All data will be made freely available and maximally accessible to the scientific community, with the goal to catalyze human genetics, disease biology and genomic medicine.