Fotografi av Wen Zhong

Wen Zhong

Biträdande universitetslektor, Docent

Min forskning fokuserar främst på integrationen av multiomics, samspelet mellan genetik och fenotyper samt utveckling av datadrivna strategier/verktyg för precisionsmedicin.

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

2023

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, Artikel 107 Vidare till 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 Vidare till 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, Artikel 5354 Vidare till DOI

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

Wen Zhong, Özlem Altay, Muhammad Arif, Fredrik Edfors, Levent Doganay, Adil Mardinoglu, Mathias Uhlén, Linn Fagerberg (2021) Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms EBioMedicine, Vol. 74, s. 103723-, Artikel 103723 Vidare till DOI

Utvalda publikationer

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

Organisation

Nyheter