Computational Biology, Systems Biology, Bioinformatics, Big Data Computation, Multiomics, Cardiometabolic Diseases, Immune System.
Dr. Pan received her Ph.D. from the Max-Planck Institute for Biochemistry, Germany and trained as a postdoctoral scholar in the Genetics Department, Stanford University, USA. She has extensive experience in using proteomics and genomics technologies and computational strategies to decode cardiometablic diseases, including mapping the critical signal transduction pathways, identifying the signature biomolecules, inferring potential drug targets and effects, and constructing disease risk prediction models. In 2014-2021, she led a bioinformatics team in the Palo Alto Veterans Affairs Healthcare System, USA, where she co-supervised the genomic sequencing initiatives in the US Million Veteran Program and pioneered cloud computing technologies for 100,000s of genomes and 10+ petabytes of data. She joined the GBA-IPM in October 2021 and continued pursuing her scientific interests in cardiometabolic diseases and immune system. She publishes on cardiometabolic diseases, population genetics, and big data computing.
1. Gao H*, Liu S*, Mai Y, Wang Y, Zhang X, Zheng S, Luo C#, Pan C#. Combined Therapy of Prednisone and mTOR Inhibitor Sirolimus for Treating Retroperitoneal Fibrosis. Ann Rheum Dis. 2023 Feb; doi:10.1136/ard-2022-223736
2. Li J*, Pan C*, Zhang S*, Spin JM, Deng A, Leung LLK, Dalman RL, Tsao PS, Snyder M. Decoding the Genomics of Abdominal Aortic Aneurysm. Cell. 2018 Sep 174 (6): 1361-1372.
3. Dewey FE*, Grove ME*, Pan C*, Goldstein BA, Bernstein J, Chaib H, Goldfeder RL, Ormond KE, Caleshu C, Kingham K, Klein TE, Whirl-Carillo M, Sakamoto K, Wheeler MT, Butte AJ, Merker JD, Ford J, Boxer L, Loannidis JPA, Yeung AC, Altman RA, Assimes TL, Snyder M# , Ashley EA# , Quertermous T# . Clinical Interpretation and Implications of Whole Genome Sequencing. JAMA. 2014;311(10):1035-1045.
4. Bahmani A*, Ferriter K*, Krishnan V, Alavi A, Alavi A, Tsao PS, Snyder MP# , Pan C#. Swarm: A Federated Cloud Framework for Large-Scale Variant Analysis. PLoS Comput Biol. 2021 May 12;17(5):e1008977.
5. Bahmani A*, Xing Z*, Krishnan V*, Ray U*, Mueller F, Alavi AA, Tsao PS, Snyder MP# , Pan C#. Hummingbird: Efficient Performance Prediction for Executing Genomic Applications in the Cloud. Bioinformatics. 2021 Mar 8:btab161.
6. Ross PB, Song J, Tsao PS#, Pan C#. Trellis for efficient data and task management in the VA Million Veteran Program. Sci Rep. 2021 Dec 1;11(1):23229.
7. Pan C*#, McInnes G*, Deflaux N*, Snyder M, Bingham J, Datta S, Tsao PS#. Cloud-based Interactive Analytics for Terabytes of Genomic Variants Data. Bioinformatics. 2017 Dec 1;33(23):3709-3715.
8. Pan C*, Kumar C*, Bohl S, Klingmü U, and Mann M. Comparative Proteomic Phenotyping of Cell lines and Primary Cells to Assess Preservation of Cell Type Specific Functions. Mol Cell Proteomics. Mar 01, 2009; 8: 443-450.
9. Pan C, Olsen JV, Daub H, and Mann M. Global Effects of Kinase Inhibitors on Signaling Networks Revealed by Quantitative Phosphoproteomics. Mol Cell Proteomics. 2009 Dec;8(12):2796-808.
10. Pan C, Gnad F, Olsen JV, and Mann M. Quantitative Phosphoproteome Analysis of a Liver Cell Line Reveals Specificity of Phosphatase Inhibitors. Proteomics. 2008 Nov;8(21):4534-46.