Photo of Wen Zhong

Wen Zhong

Assistant Professor, Docent

My research 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.

Research Interests:

My research 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.



Maria Kopsida, Na Liu, Angeliki Kotti, Jing Wang, Lasse D Jensen, Ganesan Jothimani, Camilla Hildesjö, Staffan Haapaniemi, Wen Zhong, Surajit Pathak, Xiao-Feng Sun (2024) RhoB expression associated with chemotherapy response and prognosis in colorectal cancer Cancer Cell International, Vol. 24, Article 75 Continue to DOI


Jianhua Wei, Na Zang, Jing Zhang, Yu He, Haixia Huang, Xiangyu Liu, Ximing Xu, Luo Ren, Yu Deng, Jianguo Wu, Donald Seto, Wen Zhong, Qiwei Zhang, Enmei Liu (2023) Genome and proteomic analysis of risk factors for fatal outcome in children with severe community-acquired pneumonia caused by human adenovirus 7 Journal of Medical Virology, Vol. 95, Article e29182 Continue to DOI
Wen Zhong, Hanna Danielsson, Nele Brusselaers, Dirk Wackernagel, Ulrika Sjobom, Karin Savman, Ingrid Hansen Pupp, David Ley, Anders K. Nilsson, Linn Fagerberg, Mathias Uhlen, Ann Hellstrom (2023) The development of blood protein profiles in extremely preterm infants follows a stereotypic evolution pattern Communications Medicine, Vol. 3, Article 107 Continue to DOI
Maria Bueno Alvez, Fredrik Edfors, Kalle von Feilitzen, Martin Zwahlen, Adil Mardinoglu, Per-Henrik Edqvist, Tobias Sjoblom, Emma Lundin, Natallia Rameika, Gunilla Enblad, Henrik Lindman, Martin Hoglund, Goran Hesselager, Karin Stalberg, Malin Enblad, Oscar E. Simonson, Michael Haggman, Tomas Axelsson, Mikael Aberg, Jessica Nordlund, Wen Zhong, Max Karlsson, Ulf Gyllensten, Fredrik Ponten, Linn Fagerberg, Mathias Uhlen (2023) Next generation pan-cancer blood proteome profiling using proximity extension assay Nature Communications, Vol. 14 Continue to DOI
Zhuo Ma, Xiaofei Zhang, Wen Zhong, Hongyan Yi, Xiaowei Chen, Yinsuo Zhao, Yanlin Ma, Eli Song, Tao Xu (2023) Deciphering early human pancreas development at the single-cell level Nature Communications, Vol. 14, Article 5354 Continue to DOI

Selected publications

See full list in Google Scholar:

  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. Karlsson MJ, Zhang C, Méar L, Zhong W, Digre A, Katona B, Sjöstedt E, Butler L, Odeberg J, Dusart P, Edfors F, Oksvold P, von Feilitzon K, Zwahlen M, Muhammad A, Altay O, Li X, Ozcan M, Mardonoglu A, Fagerberg L, Mulder J, Luo Y, Ponten F, Uhlen M, Lindskog C. (2021). A single–cell type transcriptomics map of human tissues. Science Advances, 7(31), p.eabh2169.
  5. Zhong W, Danielsson H, Tebani A, Karlsson MJ, Elfvin A., Hellgren, G., Brusselaers, N., Brodin, P., Hellström, A., Fagerberg, L., Uhlén, M., (2021). Dramatic changes in blood protein levels during the first week of life in extremely preterm infants. Pediatric research, 89(3), pp.604-612.
  6. 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.
  7. Tebani A, Gummesson A, Zhong W, Koistinen IS, Lakshmikanth T, Olsson LM, Boulund F, Neiman M, Stenlund H, Hellström C, Karlsson MJ, Arif M, Dodig-Crnković T, Mardinoglu A, Lee S, Zhang C, Chen Y, Olin A, Mikes J, Danielsson H, von Feilitzen K, Jansson PA, Angerås O, Huss M, Kjellqvist S, Odeberg J, Edfors F, Tremaroli V, Forsström B, Schwenk JM, Nilsson P, Moritz T, Bäckhed F, Engstrand L, Brodin P, Bergström G, Uhlén M, Fagerberg L. (2020). Integration of molecular profiles in a longitudinal wellness profiling cohort. Nature communications, 11(1), 1-14.
  8. 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)
  9. 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)
  10. Hou J#, Li Z#, Zhong W#, Hao Q, Lei L, Wang L, Zhao D, Xu P, Zhou Y, Wang Y, Xu T. (2017). Temporal transcriptomic and proteomic landscapes of deteriorating pancreatic islets in type 2 diabetic rats. Diabetes, 66(8), 2188-2200 (# equal contribution)