eQTLNucSeqsingle cellRNA-seqage-related macular degenerationAMDretinal pigment epitheliumretinaGWASAge-related macular degeneration (AMD) is a leading cause of vision loss. To better understand disease pathogenesis and identify causal genes in GWAS loci for AMD risk, we present a comprehensive database...
Using more than 500,000 unstimulated memory T cells from 259 Peruvian individuals, we show that around one-third of 6,511 cis-eQTLs had effects that were mediated by continuous multimodally defined cell states, such as cytotoxicity and regulatory capacity. In some loci, independent eQTL variants...
eQTLsingle 是一个独特而强大的工具,可以利用大量的 scRNA-seq 资源进行单细胞 eQTL 研究。 eQTLsingle has two modes. Cleaned-data mode: take input as SNV matrix and expression matrix from singlecells. If you have had SNV and expression information of the same cell before, you can use this mode...
(2)任何表现出GWAS共定位和表达数量性状基因座(eQTL)信号的SNPs(FINEMAP/eCAVIAR共定位后验概率>0.01) (3)根据1000 Genomes数据集中欧洲血统个体的1期基因型计算的LD R2值≥0.8(有点绕:Any SNPs in LD with a SNP in the previous 2 categories based on an LD R2 value ≥0.8 calculated from phase 1 g...
LINGER is a computational framework designed to infer GRNs from single-cell multiome data (Fig. 1 and Methods). Using count matrices of gene expression and chromatin accessibility along with cell type annotation as input, it provides a cell population GRN, cell type-specific GRNs and cell-leve...
Understand how to bring in data from single-cell RNA-seq experiments Quality control set-up 1. Exploring the example dataset 在本次研讨会上,我们将使用单细胞RNA-seq数据集,该数据集是Kang等人(2017年)进行的一项较大研究的一部分。在本文中,作者提出了一种利用遗传变异(eQTL)来确定基因的计算算法。 每...
英文题目:Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer 中文题目:单细胞分析定义了一个连续的细胞状态和成分变化,息肉恶性转化为结直肠癌 发表时间:2022-06-20 ...
singlecell_neuroseq_paperPublic template Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation optimising_singlecell_eqtl_paperPublic Repository containing the code to reproduce the analyses contained in our manuscript: Optimising expression quantitative trait locus mapping work...
Here, we present the Single Cell Atlas (SCA), a single-cell multi-omics map of human tissues, through a comprehensive characterization of molecular phenotypic variations across 125 healthy adult and fetal tissues and eight omics, including five single-cell (sc) omics modalities, i.e., scRNA-se...
Cells, as the fundamental units of life, contain multidimensional spatiotemporal information. Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity. Undoubtedly, single-cell transcriptomics has emerged as one of the most vibra...