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Human Virome

Human Virome

The human body harbors a vast and diverse viral community known as the human virome. The virome includes bacteriophages that infect bacteria, and eukaryotic viruses that infect human cells. Transient dietary and environmental viruses also contribute to this dynamic ecosystem. Estimates suggest the human body may contain on the order of 10¹³ viral particles, though abundance varies widely by body site and detection method.Comprehensive characterization of the virome has become possible only with...

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Updated: Jul 7, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Decoding Immune Regulation: From Genetic Variation to Mechanism Through Single-Cell Genomics.

Jung Hee Koh^1,2, Chun Jimmie Ye^2,3

¹Division of Rheumatology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.

|July 6, 2026

Summary

This summary is machine-generated.

Immune cell states dynamically change, influenced by genetics and cellular context. New technologies reveal how cell-to-cell variability diversifies immune responses and links genetic variation to cellular function for clinical applications.

Keywords:

Gene regulatory networks Genetics, Human Immunogenetic phenomena Quantitative trait loci Single-cell gene expression analysis

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Mapping Infant Immunity with Minimal Input: Integrative Single-Cell and Multiomic Profiling

Mapping Infant Immunity with Minimal Input: Integrative Single-Cell and Multiomic Profiling

Published on: April 3, 2026

Area of Science:

Immunology
Genomics
Systems Biology

Background:

Immune cell states are plastic, not fixed, and arise from complex gene regulatory networks (GRNs).
Cell-to-cell transcriptional variability is a key functional feature diversifying immune responses.
Single-cell and multi-omic technologies allow detailed immune profiling.

Purpose of the Study:

To analyze immune cell transcriptional variability using advanced analytical frameworks.
To integrate human genetics with single-cell genomics to understand genetic influences on immune cell states.
To validate gene regulatory networks and link genetic variation to cellular function.

Main Methods:

Distribution-aware and tensor-based analytical frameworks for analyzing single-cell multi-omic data.
Integration of human genetics with single-cell genomics.
High-throughput perturbation screens for functional validation of gene regulatory networks.
Emerging spatial multi-omics and in situ perturbation screens.

Main Results:

Cell-to-cell transcriptional variability is a functional aspect of immune responses.
Genetic effects on gene expression, splicing, and chromatin accessibility are cell-type and state-dependent.
Genetic variant signals converge on GRNs, with transcription factors orchestrating immune programs.
Integrative approaches link genetic variation to cellular function and disease mechanisms.

Conclusions:

Dynamic transcriptional programs shape immune cell states, influenced by genetics and cellular context.
Advanced analytical and experimental approaches enable a deeper understanding of immune cell regulation.
These findings pave the way for clinical applications, including patient stratification and therapeutic target discovery.