Skip to content

mayunlong89/scMORE_reproduce

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

81 Commits
 
 
 
 
 
 

Repository files navigation

scMORE_reproduce

scMORE (single cell MultiOmics Regulon Enrichment) is designed to identify disease-relevant regulons by leveraging GWAS summary statistics and multimodal single-cell measurements, where gene expression and chromatin accessibility are either measured for each individual cell or integrated into metacell or clusters to capture both modalities. Please find the scMORE R package in [Github] (https://github.com/mayunlong89/scMORE).

Here, we provide all the necessary scripts for reproducing scMORE analyses, including those used for analyzing and visualizing ground-truth datasets, real single-cell multiomics data, and various GWAS summary statistics for complex diseases.

Citations

Ma et al., scMORE uncovers cellular context-specific regulomes linked to complex diseases by integrating polygenic signals and single-cell multiomics, In submission 2025

scHOB Database

Human organoids are advanced three-dimensional structures that accurately recapitulate key characteristics of human organ development and functions. Unlike two-dimensional cultures lacking critical cell-cell communications, organoids provides a powerful model for recovering complex cellular dynamics involved in developmental and homeostatic processes. Organoids also allow genetic and pharmacological manipulation in a more physiologically relevant context compared to animal models. Although single-cell sequencing advancements have accelerated their biological and therapeutic use, there has been no systematic platform for unified processing and analysis of organoid-based single-cell multiomics data.

We thus established scHOB (single-cell Human Organoid Bank), a multi-omic single-cell database, consisting of both scRNA-seq and scATAC-seq data on 10 types of widely-adopted human organoids (i.e., brain, lung, heart, eye, liver & bile duct, pancreas, intestine, kidney, and skin) spanning more than 1.5 million cells with 67 main cell types in 385 samples across 83 distinct protocols. see Github code; see scHOB Website.

Application examples:

  1. Ma et al., Integration of human organoids single-cell transcriptomic profiles and human genetics repurposes critical cell type-specific drug targets for severe COVID-19. Cell Proliferation,2024, and see related Github codes.
  2. Ma et al., Sytematic dissection of pleiotropic loci and critical regulons in excitatory neurons and microglia relevant to neuropsychiatric and ocular diseases, Translational Psychiatry, 2025. preprint version see: Research Square, 2024.

Other references:

  1. scPagwas DOI

  2. Development of novel polygenic regression method scPagwas for integrating scRNA-seq data with GWAS on complex diseases. see Ma et al. Cell Genomics, 2023, and see related Github codes

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published