Jackson Laboratory

The Shuzhao Li Lab

Shuzhao Li, Ph.D.

Principal Investigator: Shuzhao Li, Ph.D.

The Jackson Laboratory
Farmington, CT

Contact me at: 207-288-6000

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The application of high-resolution mass spectrometry now enables the measurement in human samples the metabolome, lipidome and small molecules of dietary, microbial and environmental origins

The application of high-resolution mass spectrometry now enables the measurement in human samples the metabolome, lipidome and small molecules of dietary, microbial and environmental origins. This revolutionary information fills a major gap between genome and environment, with broad applications to diseases and precision medicine. We combine experimental approaches with computational algorithms that identify pathway patterns and integrate chemical reactions and biology.

Current projects:

Probabilistic metabolite and network models for metabolomics. This includes the Mummichog Project, and addresses challenges in the assembly of information in metabolomics.
Reconstruction of biochemical networks and application to immunometabolism. The goal is to upgrade genome scale metabolic models by mass spectrometry data, via a combination of computational, genetic, cellular and isotope tracing techniques.
Multi-omics, multiscale modeling of human immunology. We are generating lakes of data from vaccine studies. Coupled with large-scale data mining and new generation of artificial intelligence, the resulting models shall aid vaccine development, immunotherapy and the fight against many diseases.

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Open Positions

Job	Job Title	Location	Description

Lab Staff

Shuzhao Li, Ph.D.

Associate Professor

Metabolomics for precision medicine ImmunoMetabolomics and multi-omics modeling of immune system

Selected Publications

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Research HighlightJanuary 18, 2021
JAX uses genetic models to fight CUP
A JAX team developed CUP-AI-Dx, a machine learning tool that uses RNA sequence data for analysis. The researchers show that CUP-AI-Dx provides an important clinical tool to help guide therapies for CUP patients.
Research HighlightOctober 20, 2020
Exploring autoimmune neuritis associated with type 1 diabetes
New JAX research brings significant elements of immunology and neurodegeneration research into play.
Press ReleaseSeptember 08, 2020
2020 JAX Scholar recipients announced
The posdoctorate associate researchers were selected based on their cutting-edge research and exemplifying a well-rounded 21st-century member of the scientific community.
Research HighlightJuly 28, 2020
Novel antibody tests reveal complexity of the immune response to SARS-CoV-2
JAX Professor Derya Unutmaz, M.D., led an effort to develop an assay that determines how well anti-SARS-CoV-2 antibodies are able to neutralize binding with ACE-2, the human receptor for the coronavirus.

Research HighlightDecember 12, 2020
JAX pioneers way to analyze cancer image data
A team led by JAX Associate Professor Jeffrey Chuang, Ph.D., has developed image processing and convolutional neural network software that can combine images of cancers from different organs to reveal how they are related to one another.
Research HighlightSeptember 15, 2020
Understanding immune system aging and aging-related diseases
National Institute on Aging grant funds annual interdisciplinary science meeting focused on systems immunology of aging at JAX Genomic Medicine.
Research HighlightAugust 03, 2020
Understanding lupus one cell at a time
JAX Professor Jacques Banchereau led a multi-institutional team that profiled more than 360,000 cells from children and adult SLE patients and healthy controls, finding a distinctive interferon gene expression signature across a wide variety of blood cells. The data provides a road map for further exploration and identifies potential targets for therapeutic development.
- Lupus
- Immune Disorders
Research HighlightJuly 28, 2020
Assembling the 3D genome with ChIA-PIPE
ChIA-PIPE expands the capabilities of previous analysis pipelines that identified chromatin loops, the DNA sequences of linked DNA, and protein binding peaks within the DNA sequences.