Xin Xiong Academic Portfolio

Computational Oncology / Tumor Immunology / Synthetic Biology

Xin Xiong Biotechnology Undergraduate at Sichuan University

I work at the intersection of tumor microenvironment analysis, single-cell and spatial transcriptomics, and experimentally grounded bioengineering. My current work combines pan-cancer single-cell integration, signaling pathway analysis, and spatial transcriptomics validation to explore how cellular communication affects cancer development and supports translational research design.

  • GPA 3.89/4.0
  • National Scholarship 2024, 2025
  • Expected graduation: June 2027
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Academic Coordinates

Current Positioning

01 / Computational Biology

Studying cell-cell communication from a systems perspective

My main computational direction uses single-cell and spatial transcriptomic data to characterize tumor ecosystems, focusing on recurrent signaling circuits and conserved communication hubs across cancer types. I use Covarnet to infer cell-cell communication networks, combined with spatial transcriptomics data validation, while integrating single-cell and spatial data to define and挖掘 conservative cell domains and tumor生态位

02 / Tumor Epigenetics

TP53RK Functional Identification

Construct TP53RK mutants, use dTAG degradation technology, and verify the epigenetic characteristics of TP53RK in medulloblastoma through immunofluorescence and live-cell imaging.

03 / Synthetic Biology

iGEM Project "TasAnchor"

Responsible for Bacillus subtilis adhesion module construction, designed and constructed fusion protein induced expression and purification processes, designed experiments to verify adhesion effects, and built a whole-cell immobilization platform.

04 / Research Interests

Biology and Computation Intersection

Prefer projects that simultaneously handle code, literature, and wet-lab execution, with particular attention to how to establish clear correspondences between biological mechanisms and computational models, and promote the integration of computational models with experimental results.

Recent Milestones

2024 - 2026

Pan-cancer Signaling Atlas in Tumor Microenvironments

Standardized analysis of over 2 million single-cell RNA data across 10+ cancer types, integrated ligand-receptor inference, identified conserved hub cell populations associated with pathway regulatory programs, and mapped pan-cancer tumor microenvironment signaling atlases.

TP53RK Functional-Mode Determination

Through mutant design, lentiviral transduction, dTAG-mediated degradation, and Incucyte phenotyping, compared phosphorylation-dependent versus KEOPS-complex-dependent functional modes.

iGEM TasAnchor Whole-Cell Immobilization Platform

Built a modular Bacillus subtilis adhesion scaffold integrating genome editing, SpyTag/SpyCatcher design, IPTG-induced expression, protein purification, and material surface functionalization.

Methods and Platforms

Working Stack

Computational Analysis

Use Python, RStudio, VS Code, machine learning methods, and Linux bash workflows for reproducible analysis.

Focus: data wrangling, statistical modeling, figure generation, and pipeline execution

Bioinformatics

Single-cell RNA sequencing, spatial transcriptomics, CellChat, NicheNet, CellPhoneDB, Biopython, Prokka, RAST, and BLAST.

Focus: interaction inference, data annotation, comparative analysis, and visualization

Experimental Techniques

PCR, Southern blot, Western blot, plasmid assembly, CRISPR workflows, protein expression, and purification.

Focus: cloning design, construct validation, homologous recombination, and experimental support

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Research

Representative projects, research timeline, and records of recent training and analysis work.

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Archive

Core documents, presentation materials, review notes, and image assets.

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Blog

Bioinformatics technical blog, reading logs, and project reflections.

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Contact

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Contact Details