Forskningsintressen:

Min forskning fokuserar främst på integrationen av multiomics, samspelet mellan genetik och fenotyper samt utveckling av datadrivna strategier/verktyg för precisionsmedicin. Syftet är att undersöka de molekylära biomarkörerna för uppskattning av sjukdomsrisker, tidig diagnos av sjukdom, stratifiering av läkemedelsbehandlingssvar, övervakning av sjukdomsprogression och stratifiering av patienter.

Publikationer Visa/dölj innehåll

2022

Wen Zhong, Swapnali Barde, Nicholas Mitsios, Csaba Adori, Per Oksvold, Kalle von Feilitzen, Liam O’Leary, László Csiba, Tibor Hortobágyi, Péter Szocsics, Naguib Mechawar, Zsófia Maglóczky, Éva Renner, Miklós Palkovits, Mathias Uhlén, Jan Mulder, Tomas Hökfelt (2022) The neuropeptide landscape of human prefrontal cortex Proceedings of the National Academy of Sciences of the United States of America, Vol. 119, Artikel e2123146119 Vidare till DOI

2021

2020

Evelina Sjöstedt, Wen Zhong, Linn Fagerberg, Max Karlsson, Nicholas Mitsios, Csaba Adori, Per Oksvold, Fredrik Edfors, Agnieszka Limiszewska, Feria Hikmet, Jinrong Huang, Yutao Du, Lin Lin, Zhanying Dong, Ling Yang, Xin Liu, Hui Jiang, Xun Xu, Jian Wang, Huanming Yang, Lars Bolund, Adil Mardinoglu, Cheng Zhang, Kalle von Feilitzen, Cecilia Lindskog, Fredrik Ponten, Yonglun Luo, Tomas Hökfelt, Mathias Uhlén, Jan Mulder (2020) An atlas of the protein-coding genes in the human, pig, and mouse brain Science, Vol. 367, s. 1090-+, Artikel eaay5947 Vidare till DOI

Utvalda publikationer Visa/dölj innehåll

Se hela listan i Google Scholar: https://scholar.google.com/citations?user=c7w5Bh4AAAAJ&hl=en

  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.
    https://www.pnas.org/doi/abs/10.1073/pnas.2123146119
  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
    https://www.sciencedirect.com/science/article/pii/S235239642100517X
  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
    https://www.nature.com/articles/s41467-021-22767-z
  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.
    https://www.science.org/doi/10.1126/sciadv.abh2169
  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.
    https://www.nature.com/articles/s41390-020-0912-8
  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.
    https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-020-00755-0
  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.
    https://www.nature.com/articles/s41467-020-18148-7
  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)
    https://www.science.org/doi/10.1126/science.aay5947
  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)
    https://www.science.org/doi/10.1126/science.aax9198
  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)
    https://diabetes.diabetesjournals.org/content/66/8/2188

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