Wen Zhong

DDLS Fellow, Linköping University

Key publications
1. Zhong W, Barde S, Mitsios N, Adori C, Oksvold P, Feilitzen K.V, O’Leary L, Csiba L, Hortobágyi T, Szocsics P and Mechawar N, Maglóczky Z, Renner E, Palkovits M, Uhlen M, Mulder J, Hökfelt T. (2022). The neuropeptide landscape of human prefrontal cortex. Proceedings of the National Academy of Sciences, 119(33), p.e2123146119.
2. Zhong W, Altay O, Arif M, Edfors F, Mardinoglu A, Uhlén M, Fagerberg L. (2021). Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms. EBioMedicine 74, 103723
3. Zhong W, Edfors F, Gummesson A, Bergstrom G, Fagerberg L, Uhlén M. (2021). Next generation plasma proteome profiling to monitor health and disease. Nature communications 12 (1), 1-12
4. Zhong W, Gummesson A, Tebani A, Karlsson M J, Hong MG, Schwenk JM, Edfors F, Bergström G, Fagerberg L, Uhlén M. (2020). Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort. Genome Medicine, 12(1), 1-16.
5. Sjöstedt E, Zhong W, Fagerberg L, Karlsson M, Mitsios N, Adori C, Oksvold P, Edfors F, Limiszewska A, Hikmet F, Huang J, Du Y, Lin L, Dong Z, Yang L, Liu X, Jiang H, Xu X, Wang J, Yang H, Bolund L, Mardinoglu A, Zhang C, von Feilitzen K, Lindskog C, Pontén F, Luo Y, Hökfelt T, Uhlén M, Mulder J. (2020). An atlas of the protein-coding genes in the human, pig, and mouse brain. Science, 367 (6482)
6. Uhlén M, Karlsson MJ, Zhong W, Tebani A, Pou C, Mikes J, Lakshmikanth T, Forsström B, Edfors F, Odeberg J, Mardinoglu A, Zhang C, von Feilitzen K, Mulder J, Sjöstedt E, Hober A, Oksvold P, Zwahlen M, Ponten F, Lindskog C, Sivertsson Å, Fagerberg L, Brodin P. (2019). A genome-wide transcriptomic analysis of protein-coding genes in human blood cells. Science, 366 (6472)

Wen Zhong

Research Interests

The rise of high throughput molecular technologies has shed lights on the development of next-generation molecular diagnostics and biomarkers for patient stratifications in the precision medicine era. There is an urgent need to develop new systematic tools to combine multi-omics data and link genotype to phenotype to expand our knowledge of complex traits of human diseases. Our research group mainly focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of data-driven strategies/tools for precision medicine. The aim is to investigate the molecular biomarkers for the estimation of disease risks, early diagnosis of disease, stratification of drug treatment response, disease progression monitoring and the stratification of patients. To enable these projects, we develop and optimize trustworthy AI tools to facilitate the utilization of data-driven systems medicine and inform precision medicine-based decision support.

Group Members

Jing Wang, Postdoc
Alberto Zenere, Postdoc
Yang Xuan, Visiting researcher

Last updated: 2024-07-03

Content Responsible: David Gotthold(david.gotthold@scilifelab.se)