AIDA

Access Granted
Updated March 27, 2025

Current efforts within the HCA are largely focused on defining reference human cell types using a relatively small number of samples of predominantly European origin. However, the next phase of the HCA is likely to address the topic of human diversity by comprehensively characterizing variation in cell states across age, sex, population groups, diseases and environments. To spur this next phase, and also expand the geographical scope of the HCA, we propose an HCA-Asia seed network to generate an Asian Immune Diversity Atlas (AIDA). AIDA will generate transcriptome variation datasets from 5 major Asian population groups (Chinese, Japanese, Korean, Indian, Malay), define an atlas of Asian cell types and states, and characterize their variation associated with ethnicity, environment, age, sex, sleep status and body mass index. We will also formalize a study design based on common controls that can in principle reduce technical artifacts in a broad range of comparative single cell studies. This study design will be complemented with novel algorithms designed to normalize datasets of interest against the common controls, to increase the robustness of biological inferences. In addition to providing new tools and resources to the HCA, this seed network will serve as a template for future comparative studies in the single cell field.

Shyam PrabhakarGenome Institute of Singaporeprabhakars@gis.a-star.edu.sg
Jay Shin1
Woong-Yang Park2
Varodom Charoensawan3
Partha Majumder4
Shyam Prabhakar5
1Riken
2Samsung Genome Institute
3Mahidol University
4National Institute of Biomedical Genetics
5Genome Institute of Singapore
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Atlas

None

Analysis Portals

CZ CELLxGENE
CZ CELLxGENE

Project Label

AIDA

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

blood

Organ Part

blood

Selected Cell Types

peripheral blood mononuclear cell

Disease Status (Specimen)

Unspecified

Disease Status (Donor)

Unspecified

Development Stage

100 development stages

Library Construction Method

4 library construction methods

Nucleic Acid Source

single cell

Paired End

false

File Format

fastq

Cell Count Estimate

Unspecified

Donor Count

369
fastq1,840 file(s)