Kai Tan Laboratory

Led by Kai Tan, PhD, researchers in the Tan Laboratory are using systems biology approaches to identify and characterize gene pathways underpinning tumorigenesis and normal development. The ultimate goal of the research in this laboratory is to use information from patient-specific, integrated gene networks to improve the diagnosis and treatment of cancer patients.

Download software developed by the Kai Tan Laboratory.

Dynamic Changes, Regulatory Rewiring Occur as T Cells Respond to Infection

Selected Publications

Understanding transcriptional regulatory networks using computational models . Curr Opin Genet Dev. 2016 Mar 4;37:101-108.
He B, Tan K.


Runx1 Deficiency Decreases Ribosome Biogenesis and Confers Stress Resistance to Hematopoietic Stem and Progenitor Cells. Cell Stem Cell. 2015 Aug 6;17(2):165-77.
Cai X, Gao L, Teng L, Ge J, Oo Z, Kumar A, Gilliland GD, Mason PJ, Tan K and Speck NA.


Modeling disease progression using dynamics of pathway connectivity. Bioinformatics. 2014 Aug 15;30(16):2343-50.
Ma X, Gao L, Tan K.


Global view of enhancer-promoter interactome in human cells. Proc Natl Acad Sci U S A. 2014 May 27;111(21):E2191-9.
He B, Chen C, Teng L, Tan K.


Dynamic HoxB4-regulatory network during embryonic stem cell differentiation to hematopoietic cells. Blood. 2012 May 10;119(19):e139-47.
Fan R, Bonde S, Gao P, Sotomayor B, Chen C, Mouw T, Zavazava N, Tan K.
 

Collaborators