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Updated: Oct 13, 2025

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Published on: July 18, 2019

DISCO: a database of Deeply Integrated human Single-Cell Omics data.

Mengwei Li¹, Xiaomeng Zhang¹, Kok Siong Ang¹

¹Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos Building, Level 3, Singapore 138648, Singapore.

Nucleic Acids Research

|November 18, 2021

Summary

DISCO is a new database integrating over 18 million single-cell omics cells, offering harmonized metadata and tools for data integration and cell type identification. This resource enables researchers to explore and analyze single-cell data efficiently.

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Area of Science:

Single-cell omics
Bioinformatics
Computational biology

Background:

Single-cell sequencing is rapidly advancing, revealing cellular heterogeneity.
A lack of integrated cell atlases with harmonized metadata hinders data integration and analysis.
Existing resources do not provide a unified platform for comprehensive single-cell data exploration.

Purpose of the Study:

To present DISCO, a database of Deeply Integrated Single-Cell Omics data.
To provide a harmonized resource for single-cell data integration and analysis.
To develop tools for efficient large-scale integration and cell type identification.

Main Methods:

Integration of over 18 million cells from 4593 samples across diverse tissues, diseases, and platforms.
Standardization of metadata using controlled vocabulary and ontology.
Development of FastIntegration for scalable data integration and CELLiD for automated cell type identification.

Main Results:

DISCO integrates data from 107 tissues/cell lines/organoids, 158 diseases, and 20 platforms.
Construction of one global atlas and 27 sub-atlases.
Development of online tools for data integration, annotation, and projection.

Conclusions:

DISCO offers a versatile platform for exploring published single-cell data.
The platform facilitates efficient integrated analysis of new single-cell RNA-seq data.
DISCO addresses the need for a comprehensive, harmonized single-cell atlas.