Mengjia Xu

ORCID: 0000-0003-0566-0959
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Single-cell and spatial transcriptomics
  • RNA modifications and cancer
  • Wireless Body Area Networks
  • Immunotherapy and Immune Responses
  • Cancer Immunotherapy and Biomarkers
  • Molecular Communication and Nanonetworks
  • Cancer-related molecular mechanisms research
  • Mycobacterium research and diagnosis
  • Computational Physics and Python Applications

Harbin Medical University
2022-2024

Numerous variants, including both single-nucleotide variants (SNVs) in DNA and A>G RNA edits mRNA as essential drivers of cellular proliferation tumorigenesis, are commonly associated with cancer progression growth. Thus, mining summarizing single-cell will provide a refined higher-resolution view further contribute to precision medicine. Here, we established database, CanCellVar, which aims visualize the comprehensive atlas tumor microenvironment. The current CanCellVar identified ∼3...

10.1016/j.ajhg.2024.05.014 article EN cc-by-nc-nd The American Journal of Human Genetics 2024-06-05

Abstract Communications between tumor cells and surrounding immune help shape the immunity continuum. Recent breakthroughs in high-throughput technologies as well computational algorithms had reported many important tumor-immune cell (TIC) communications, which were scattered thousands of published studies impeded systematical characterization TIC communications across cancer. Here, a comprehensive database, TICCom, was developed to model containing 739 experimentally-validated or...

10.1038/s41597-023-02342-5 article EN cc-by Scientific Data 2023-07-12

Abstract The distribution and extent of immune cell infiltration into solid tumors play pivotal roles in cancer immunology therapy. Here we introduced an long non-coding RNA (lncRNA) signature-based method (ILnc), for estimating the abundance 14 types from lncRNA transcriptome data. Performance evaluation through pure data shows that our signature sets can be more accurate than protein-coding gene signatures. We found signatures are significantly enriched to functions pathways, such as...

10.1101/2022.03.10.483725 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-03-13
Coming Soon ...