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QI Meifang

Ph.D.

Professor, Principal Investigator

Laboratory of Cancer Genomics

Lab Page Link: https://qimeifanglab.github.io

Email: mfqi@sinh.ac.cn

Tel: 86-21-54920233

Research Areas:
The group will focus on cancer genomics, which will develop and integrate multi-omics, including bulk-seq and single-cell technology to decipher the impact of genomic mutations on diseases, especially tumor. We are also interested in the mechanisms of sex bias in cancer and autoimmunity diseases.
Our research interests include:
(1) The impact of loss of Y chromosome (LOY): understand the role of LOY in cancer, especially cancer metastasis; identify key factors of mosaic LOY in aging men.
(2) Sex bias in cancer incidence and outcome: identification of key mutations and pathways that can explain the mechanisms of sex bias in cancer.
(3) Development of novel cancer therapies and medicines.
(4) Tool development: develop tools for calling copy number variations in bulk-seq and single-cell data; identifying evolution events during tumor development.

 

Brief Biography:
2023 - present: Principal Investigator, Shanghai Institute of Nutrition and Health, CAS
2019-2023: Postdoc fellow, Massachusetts General Hospital
2013-2019: Ph.D., Shanghai Institutes for Biological Sciences, CAS
2009-2013: M.S., East China University of Science and Technology

 

Selected Publications: (# First author, * Corresponding author)

  1. 1. Qi M, Pang J, Mitsiades I, Lane AA, Rheinbay E*. Loss of chromosome Y in primary tumors. Cell 2023 Jul;186(14):3125-3136.e11.
  2. 2. Rheinbay E, Qi M, Bouyssou JM, Oler AJ, Thumm L, Makiya M, et al. Genomics of PDGFR-rearranged hypereosinophilic syndrome. Blood Advances 2023 Jun 13;7(11):2558-2563.
  3. 3. Qi M, Nayar U, Ludwig LS, Wagle N, Rheinbay E*. cDNA-detector: detection and removal of cDNA contamination in DNA sequencing libraries. BMC Bioinformatics 2021 Dec;22(1):611.
  4. 4. Qi M#, Li Z#, Liu C, Hu W, Ye L, Xie Y, Zhuang Y, Zhao F, Teng W, Zheng Q, Fan Z, Xu L, Lang Z, Tong Y, Zhang Y*. CGT-seq: epigenome-guided de novo assembly of the core genome for divergent populations with large genome. Nucleic Acids Res 2018 Oct 12;46(18):e107.
  5. 5. Wang J#, Qi M#, Liu J#, Zhang Y*. CARMO: a comprehensive annotation platform for functional exploration of rice multi-omics data. Plant J 2015 Jul;83(2):359-374.