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Objectives

Introduction

The laboratory is centered around the development of metagenomic methods, with a strong emphasis on third-generation sequencing and emerging techniques like single-cell microbiology. The primary goal is to dissect the interactions among the human genome, microbiota, and nutritional aspects, leveraging functional foods and gut microbiota to enhance human health. Additionally, efforts are directed towards establishing a distinctive Chinese scientific food and nutrition communication framework.

Research Areas

Gengjie Jia

We, through algorithm development for analyzing multi-dimensional big health data and nutrition/dietary data, aim to: 1. discern subtypes of complex diseases (through system identification of comorbidity patterns and multi-omics data analysis), parse their underlying genetic bases, and design subtype-specific precision-nutrition interventions; 2. describe disease co-occurrence patterns, build risk prediction models, and search for the optimal combinations of diets and (or) drugs; 3. elucidate the tripartite relationship among human digestive systems, microbiota therein, and food nutrition.

Associate researcher

Guangwen Luo, Email: luoguangwen@caas.cn Associate Researcher at the Food Genomics Centre, AGIS. Bioinformatician (bacterial genome, metagenome, single-cell RNAseq, CNV, phenome, and metabolome) Research direction Based on multi-omics data, we apply bioinformatics technologies to discern biological mechanisms, and then design solutions for precision nutrition intervention •Construct subtypes of cardiometabolic diseases and digestive tract diseases to improve the resolution of disease stratification • Describe the characteristics of digestive tract diseases and cardiometabolic diseases, analyze their genetic, microbiome, and dietary risk factors, and explain the interaction between food nutrition, the human digestive system, and the microbial community • Human pathogen detection and in vitro diagnostic early screening Career 2020-2022, Department of Pathology, The University of Hong Kong Position: Postdoctoral Fellow 2019-2020, Department of Medicine and Therapeuti...

Postdoc

Wenjuan Yu, Email: yuwenjuan@caas.cn Yu's main research interests are biobank data mining, tumor growth mechanism models, human biology and time series data analysis, and disease trajectory prediction. Familiar with traditional, machine learning, and deep learning approaches, can build mechanisms or data-driven models.

PI

1. Developing microbial multi-omics analysis algorithms to dissect the functions of microorganisms and their metabolites in micro-ecosystems

2. Mining microbial biomarkers of key functions to elucidate their important roles in host health and the environment

3. Analyze the mechanisms of the interactions between microbiota-host-dietary environment，and explore the precision nutrition scheme based on microbiome.

Student

Research Team

Our research group is dedicated to the development and application of omics algorithms, mainly including:

1.Research on novel transcriptome expression quantification algorithms.

2.Research on general dimensionality reduction algorithms for omics big data, and theirapplication in fast comparative genomics research and related applications.

Our Research

Introduction

Research Areas

PI

Research Team

Research program

Research Achievements

Major Programs (cross discipline initiatives/projects)