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

Optimal control nodes in disease-perturbed networks as targets for combination therapy. Nature Communications 10(1): 2180, May 2019.
Hu Y, Gao L, Chen C, Ding Y, Wen X, Wang B, and Tan K

Single-cell RNA-Seq imputation constrained by bulk RNA-Seq data. Genome Biology 20(1): 88, May 2019.
Peng T, Zhu Q, Yin P, Tan K

Identifying noncoding risk variants using disease-relevant gene regulatory networks. Nature Communications 9(1): 702, Feb 2018.
Gao L, Uzun Y, Gao P, He B, Ma X, Wang J, Han S, Tan K.

Maturation of hematopoietic stem cells from prehematopoietic stem cells is accompanied by up-regulation of PD-L1. Journal of Experimental Medicine 215(2): 645-659, Feb 2018.
Tober J, Maijenburg MW, Y, Gao L, Hadland BK, Gao P, Clarke R, Bernstein I, Keller G, Tan K*, Speck NA*
* Co-corresponding author.

CD8+ T cells utilize highly dynamic enhancer repertoires and regulatory circuitry in response to infections. Immunity 45(6): 1341-1354, Dec 2016
He B, Xing S, Chen C, Gao P, Teng L, Shan Q, Gullicksrud JA, Martin MD, Yu S, Harty JT, Badovinac VP, Tan K*, Xue HH*
* Co-corresponding author.