The Shuzhao Li Lab
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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Press ReleaseApril 13, 2021Shriners Hospitals for Children and JAX announce research affiliation
A new research affiliation agreement between Shriners Hospitals for Children (SHC) and JAX will endeavor to gain a greater understanding of the genetic factors involved in cerebral palsy. -
Research HighlightApril 05, 2021Using machine learning to analyze mouse behavior
JAX researcher Dr. Vivek Kumar trains computers (using machine learning) to analyze specific mouse behaviors. -
Research HighlightFebruary 01, 2021Novel antibody tests reveal complexity of immune response to covid-19
The interaction of SARS-CoV-2, the novel coronavirus causing the global COVID-19 pandemic, and the human immune system has been the focus of intensive research. -
Research HighlightJanuary 18, 2021JAX 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.
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Press ReleaseApril 13, 2021Lenny Shultz joins new JDRF Center of Excellence to advance Type 1 Diabetes research
JDRF has announced the launch of the JDRF Center of Excellence in New England. The new center is comprised of a team of experts from institutions in New England including JAX’s Lenny Shultz, Ph.D. -
Press ReleaseMarch 12, 2021Three new endowed chairs to lead Alzheimer’s, addiction, and cancer research
The Jackson Laboratory (JAX) has appointed three faculty members to endowed chairs in order to further research into Alzheimer’s disease, addiction, cancer and computational biology. -
Tech CornerFebruary 01, 2021Machine learning: Shining a light on genomic function
Machine learning platforms can be fed data to "teach" them to learn patterns and predict outcomes, and they are becoming more important all the time in biomedical research. But what are they? How do they work? And can we peer into the black box of their inner functions to make them more powerful for prediction and discovery? -
Research HighlightDecember 12, 2020JAX 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.