Dianyu Chen

ORCID: 0000-0002-4217-2279
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About
Contact & Profiles
Research Areas
  • T-cell and B-cell Immunology
  • Immune Cell Function and Interaction
  • Single-cell and spatial transcriptomics
  • Neuroinflammation and Neurodegeneration Mechanisms
  • CAR-T cell therapy research
  • Immune Response and Inflammation
  • Pancreatic function and diabetes
  • Inflammatory Bowel Disease
  • Cell Image Analysis Techniques
  • Immunotherapy and Immune Responses
  • Eosinophilic Esophagitis
  • IL-33, ST2, and ILC Pathways
  • Cancer Immunotherapy and Biomarkers
  • Immunodeficiency and Autoimmune Disorders

Westlake University
2020-2025

Hangzhou Xixi hospital
2025

Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences
2021

Zhejiang University
2021

ABSTRACT Crohn's disease (CD) is a prevalent type of inflammatory bowel (IBD) with dysregulated antibody responses. However, there lack comprehensive analysis B cell responses in CD. Here, we collected cells from the small intestine, colon and blood CD patients control subjects. Through coupled transcriptome immunoglobulin (Ig) gene individual cells, characterized cellular composition, Ig clonotype different subtypes. We observed shared disruptions plasma (PC) between IBD revealed...

10.1093/nsr/nwaf009 article EN cc-by National Science Review 2025-01-10

Abstract Group 3 innate lymphoid cells (ILC3) are crucial for maintaining mucosal homeostasis and regulating inflammatory diseases, but the molecular mechanisms governing their phenotype function not fully understood. Here, we show that ILC3s highly express Fcer1g gene, which encodes antibody Fc-receptor common gamma chain, FcεR1γ. Genetic perturbation of FcεR1γ leads to absence critical cell membrane receptors NKp46 CD16 in ILC3s. Alanine scanning mutagenesis identifies two residues...

10.1038/s41467-024-50266-4 article EN cc-by Nature Communications 2024-07-16

Single cell RNA sequencing (scRNAseq) can be used to infer a temporal ordering of cellular states. Current methods for the inference trajectories rely on unbiased dimensionality reduction techniques. However, such biologically agnostic prove difficult modeling complex developmental or differentiation processes. The heterogeneity dynamic biological compartments result in sparse sampling key intermediate To overcome these limitations, we develop supervised machine learning framework, called...

10.1371/journal.pcbi.1008094 article EN cc-by PLoS Computational Biology 2021-05-03

ABSTRACT Single cell RNA sequencing (scRNA-seq) can be used to infer a temporal ordering of dynamic cellular states. Current methods for the inference trajectories rely on unbiased dimensionality reduction techniques. However, such biologically agnostic prove difficult modeling complex developmental or differentiation processes. The heterogeneity biological compartments result in sparse sampling key intermediate This scenario is especially pronounced immune responses innate and adaptive...

10.1101/2020.06.26.173179 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-06-27

Abstract The random V(D)J recombination of immunoglobulins (Ig) loci often creates autoreactive B cell progenitors expressing self-recognized B-cell receptors (BCRs) 1 , which are eliminated or inactivated through an autoantigen-dependent central tolerance checkpoint to prevent autoimmune reactions 2,3 a process thought be restricted the bone marrow (BM) in adult mammals 4 . Here we report that early developing cells also present meninges mice at all ages. Single RNA-sequencing (scRNA-seq)...

10.1101/2021.06.03.446985 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2021-06-03
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