Laboratory of Complex Disease and Quantitative Biology

Integrating genetics with single-cell multiomic measurements across disease states identifies mechanisms of beta cell dysfunction in type 2 diabetes

Wang G*, Chiou J*, Zeng C*, Miller M, Matta I, Han J, Kadakia N, Okino M, Beebe E, … & Sander (2023)

Nature Genetics, 55, 984-994

Improving stem cell-derived pancreatic islets using single-cell multiome-inferred regulomes

Zhu, H.*, Wang, G.* , Nguyen-Ngoc, K. V., Kim, D., Miller, M., Goss, G., ... & Sander, M. (2023).

Developmental Cell , 58(9), 727-743.

A multi-omics roadmap of β-cell failure in type 2 diabetes mellitus

Wang, G., & Sander, M. (2021)

Nature Reviews Endocrinology, 1-2.

A tumorigenic index for quantitative analysis of liver cancer initiation and progression

Wang, G., Luo X, Liang Y, Kaneko K, Li H, Fu XD, Feng GS (2019).

PNAS , 116(52), 26873-80.

Endogenous network states predict gain or loss of functions for genetic mutations in hepatocellular carcinoma

Wang, G., Su, H., Yu, H., Yuan, R., Zhu, X., and Ao, P. (2016).

Jornal of Royal Soctiety Interface 13: 20151115

Quantitative implementation of the endogenous molecular–cellular network hypothesis in hepatocellular carcinoma

Wang, G., Zhu, X., Gu, J., and Ao, P. (2014).

Interface Focus 4(3). 20130064

From Phage lambda to human cancer: endogenous molecular-cellular network hypothesis

Wang, G., Zhu, X., Hood, L., and Ao, P. (2013)

Quantitative Biology 1, 32-49.