CIMR-Jianpeng Sheng

Core Facilitiy Director

Research Group

Jianpeng Sheng

shengjianpeng(at)cimrbj.ac.cn

Director of Multi-Omics Facility

shengjianpeng(at)cimrbj.ac.cn

B.S. (Honours) in Biology, Nanyang Technological University, Singapore

Ph.D. in Immunology, Nanyang Technological University, Singapore

Work Experience

2024.08-Present

Director, Multi-Omics Facility, CIMR, Beijing, China

2019.07–Present

Researcher, The First Affiliated Hospital, Zhejiang University School of Medicine, China

2014.08–2019.06

Researcher/Senior Researcher, School of Biological Sciences, Nanyang Technological University, Singapore

2009.07-2010.07

Research Assistant, Genome Institute of Singapore, Singapore

Introduction

The Multi-Omics Facility is dedicated to integrating cutting-edge technologies to advance research into the complexity of biological systems. By combining spatial omics, targeted proteomics, and bioinformatics, the facility provides powerful tools for researchers to uncover the microscopic mechanisms and dynamic changes in biological processes. The core technologies of the facility include:

1. Spatial Omics: Spatial omics integrates molecular biology and imaging technologies to precisely locate and analyze the spatial distribution of specific molecules at the single-cell level. This technology captures the spatial features of gene expression in tissues or organs, revealing cell-cell interactions, dynamic changes in tissue microenvironments, and disease-specific spatial characteristics. It is widely applied in fields such as tumor microenvironments and neuroscience, helping to deepen the understanding of complex biological processes.

2. Targeted Proteomics: Targeted proteomics, based on antibody technology, enables high-precision quantification of specific proteins and their changes under different conditions. This technology can sensitively detect low-abundance biomarkers with high reproducibility and quantitative accuracy, making it widely applicable in biomarker validation, new drug target identification, and disease mechanism research.

3. Bioinformatics: The bioinformatics team employs advanced methods such as machine learning, statistical analysis, and network modeling to extract meaningful insights from vast omics datasets. By integrating spatial omics and proteomics data, bioinformatics reveals connections across different omics layers, accelerating drug discovery and the progress of precision medicine.

Through the integration of these technologies, the Multi-Omics Facility provides researchers with comprehensive analytical tools, driving exploration and breakthroughs at the forefront of science.

Representative Publications *：Co-first author; #：Co-corresponding author

Bao XW, Li Q, Chen D, Dai XM, Liu C, Tian WH, Zhang HY, Jin YZ, Wang Y, Cheng JL, Lai CY, Ye CQ, Xin S, Li X, Su G, Ding YF, Xiong YY, Xie JD, Tano V, Wang YG, Fu WG, Deng SG, Fang WJ, Sheng JP#, Ruan J, Zhao P. A multiomics analysis-assisted deep learning model identifies a macrophage-oriented module as a potential therapeutic target in colorectal cancer. Cell Reports Medicine, 2024, 5(2): 101399. DOI: 10.1016/j.xcrm.2024.101399

Du J, Zhang JL, Wang L, Wang X, Zhao YX, Lu JY, Fan TM, Niu M, Zhang J, Cheng F, Li J, Zhu Q, Zhang DQ, Pei H, Li G, Liang XG, Huang H, Cao XC, Liu XJ, Shao W, Sheng JP. Selective oxidative protection leads to tissue topological changes orchestrated by macrophage during ulcerative colitis. Nature Communications, 2023, 14(1): 3675. DOI: 10.1038/s41467-023-39173-2

Zhao YX, Song JY, Bao XW, Zhang JL, Wu JC, Wang LY, He C, Shao W, Bai XL, Liang TB, Sheng JP. Single-cell RNA sequencing-guided fate-mapping toolkit delineates the contribution of yolk sac erythro-myeloid progenitors. Cell Reports, 2023, 42(11): 113364. DOI: 10.1016/j.celrep.2023.113364

Zhang JL, Song JY, Tang SM, Zhao YX, Wang L, Luo YD, Tang JH, Ji YT, Wang X, Li TH, Zhang H, Shao W, Sheng JP#, Liang TB, Bai XL. Multi-omics analysis reveals the chemoresistance mechanism of proliferating tissue-resident macrophages in PDAC via metabolic adaptation. Cell Reports, 2023, 42(6): 112620. DOI: 10.1016/j.celrep.2023.112620

Shao W, Zuo YL, Shi YY, Wu YW, Tang J, Zhao JY, Sun L, Lu ZX, Sheng JP#, Zhu Q, Zhang DQ. Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Transactions On Medical Imaging, 2023, 42(10): 3025-3035. DOI: 10.1109/TMI.2023.3274652

Tang JH, Sheng JP*, Zhang Q, Ji YT, Wang X, Zhang JL, Wu JC, Song JY, Bai XL, Liang TB. Runx3-overexpression cooperates with ex vivo AKT inhibition to generate receptor-engineered T cells with better persistence, tumor-residency, and antitumor ability. Journal for Immunotherapy of Cancer, 2023, 11(2): e006119. DOI: 10.1136/jitc-2022-006119

Bao XW, Li Q, Chen JZ, Chen DY, Ye CQ, Dai XM, Wang YF, Li X, Rong XX, Cheng F, Jiang M, Zhu Z, Ding YF, Sun R, Liu C, Huang LL, Jin YZ, Li B, Lu J, Wu W, Guo YX, Fu WG, Langley SR, Tano V, Fang WJ, Guo TN, Sheng JP#, Zhao P, Ruan J. Molecular Subgroups of Intrahepatic Cholangiocarcinoma Discovered by Single-Cell RNA Sequencing-Assisted Multiomics Analysis. Cancer Immunology Research, 2022, 10(7): 811-828. DOI: 10.1158/2326-6066.CIR-21-1101

Sheng JP, Zhang JL, Wang L, Tano V, Tang JH, Wang X, Wu JC, Song JY, Zhao YX, Rong JX, Cheng F, Wang JF, Shen YN, Wen L, He JJ, Zhang H, Li TH, Zhang Q, Bai XL, Lu ZM, Liang TB. Topological analysis of hepatocellular carcinoma tumour microenvironment based on imaging mass cytometry reveals cellular neighbourhood regulated reversely by macrophages with different ontogeny. Gut, 2022, 71(6): 1176-1191. DOI: 10.1136/gutjnl-2021-324339

Sheng JP, Chen Q, Soncin I, Ng SL, Karjalainen K, Ruedl C. A Discrete Subset of Monocyte-Derived Cells among Typical Conventional Type 2 Dendritic Cells Can Efficiently Cross-Present. Cell Reports, 2017, 21(5): 1203-1214. DOI: 10.1016/j.celrep.2017.10.024

Sheng JP, Ruedl C, Karjalainen K. Most Tissue-Resident Macrophages Except Microglia Are Derived from Fetal Hematopoietic Stem Cells. Immunity, 2015, 43(2): 382-393. DOI: 10.1016/j.immuni.2015.07.016