Ph.D. Student · BIOPIC, Peking University

Tang Mingchuan 唐明川

Imaging-based spatial transcriptomics — building high-plex in situ methods and the analysis behind them.

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Tang Mingchuan, Ph.D. Student at BIOPIC, Peking University

About

Methods for reading RNA in space

I am a Ph.D. candidate at BIOPIC, Peking University, working on imaging-based spatial transcriptomics. My work bridges wet-lab method development and the computational analysis behind it — extending high-plex in situ RNA imaging to demanding samples such as FFPE tissue, and applying spatial transcriptomics across a range of biological questions. I completed my B.S. in the Integrated Science Program at Yuanpei College, Peking University.

Spatial transcriptomics In situ imaging & sequencing FFPE tissue Omics data analysis

Education

  • 2024 — Present

    Ph.D. Student (5-year program)

    BIOPIC, Peking University

  • Class of 2024

    B.S., Integrated Science Program

    Yuanpei College, Peking University

Research

Methods I helped build

High-plex spatial transcriptomics technologies developed in the Huang Lab — turning standard microscopes into instruments that map RNA in tissue.

PRISM

Profiling of RNA In-Situ through single-round iMaging

High-plex spatial RNA imaging completed in a single round on a conventional fluorescence microscope, encoded with color-intensity barcodes — fluidics-free, with the whole workflow finished within a day.

  • Up to 64-plex RNA imaging in one round
  • Validated on mouse brain & embryo and human HCC (>5.7M annotated cells)
  • Extended to 100-µm slices for 3D cell atlases and subcellular RNA localization
Nature Biotechnology

SPRINTseq

Hybrid block coding for rapid in situ sequencing

An in situ sequencing strategy that pairs hybrid block coding with a molecular-dilution scheme for fast, signal-crowdedness-robust spatial transcriptomics at near optical-diffraction-limit resolution.

  • Targeted transcriptome of a mouse-brain slice profiled in ~9.5 h
  • >142M transcripts from 453,843 cells across four slices in under 2 days
  • Resolved cellular & subcellular architecture of Alzheimer's disease
PNAS

Publications

Selected publications

  1. Nature Biotechnology 2025

    High-plex spatial RNA imaging in one round with conventional microscopes using color-intensity barcodes

    Tianyi Chang , Shihui Zhao , Kunyue Deng , Zhizhao Liao , Mingchuan Tang , Yanxi Zhu , Wuji Han , Chenxi Yu , Wenyi Fan , Mengcheng Jiang , Guanbo Wang , Dongfang Liu , Jirun Peng , Yuhong Pang , Peng Fei , Jianbin Wang , Chunhong Zheng , Yanyi Huang

    Co-first author

    DOI bioRxiv
    PRISMspatial transcriptomicsin situ imaging
  2. Nature Biomedical Engineering 2025

    A fuzzy sequencer for rapid DNA fragment counting and genotyping

    Wenxiong Zhou , Li Kang , Shuo Qiao , Haifeng Duan , Chenghong Yin , Chao Liu , Zhizhao Liao , Mingchuan Tang , Ruiying Zhang , Lei Li , Lei Shi , Meijie Du , Yipeng Wang , Wentao Yue , Yan Xiao , Lin Di , Xiannian Zhang , Yuhong Pang , Mingkun Li , Lili Ren , Jianbin Wang , Zitian Chen , Yanyi Huang

    DOI
    sequencinggenotyping
  3. PNAS 2023

    Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding

    Tianyi Chang , Wuji Han , Mengcheng Jiang , Jizhou Li , Zhizhao Liao , Mingchuan Tang , Jianyun Zhang , Jie Shen , Zitian Chen , Peng Fei , Xianwen Ren , Yuhong Pang , Guanbo Wang , Jianbin Wang , Yanyi Huang

    DOI
    SPRINTseqin situ sequencingspatial transcriptomics
  4. bioRxiv 2025 Preprint

    Deepening imaging-based spatial proteomics at high spatial resolution through controlled tissue resizing and in-situ bottom-up mass spectrometry

    Kunyue Deng , Lingpeng Zhan , Li Yi , Jingpeng Zhang , Mingchuan Tang , Tianyi Chang , Gaofeng Ji , Xinyang Shao , Xiang Xu , Xiaoyun Wei , Tianming Zhang , Jiacheng Yao , Jianbin Wang , Guanbo Wang , Yanyi Huang

    DOI
    spatial proteomicsmass spectrometry

Honors

Honors & awards

  • Outstanding Graduates of Beijing 2024
  • Liao Kaiyuan Scholarship · Peking University 2022
  • Model Student of Excellence · Peking University 2022
  • Social Work Award · Peking University 2021

Contact

Get in touch

Always glad to talk about spatial transcriptomics, imaging methods, and omics data analysis — feel free to reach out.

tangmc0210@foxmail.com
GitHub