Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Wennan Chang"'
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 21, Iss 6, Pp 1133-1148 (2023)
Acid–base homeostasis is a fundamental property of living cells, and its persistent disruption in human cells can lead to a wide range of diseases. In this study, we conducted a computational modeling analysis of transcriptomic data of 4750 human t
Externí odkaz:
https://doaj.org/article/45ce346aa250484799ceaf38fbcb7f5e
Autor:
Sha Cao, Wennan Chang, Changlin Wan, Xiaoyu Lu, Pengtao Dang, Xinyu Zhou, Haiqi Zhu, Jian Chen, Bo Li, Yong Zang, Yijie Wang, Chi Zhang
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 2160-2171 (2023)
The cells of colorectal cancer (CRC) in their microenvironment experience constant stress, leading to dysregulated activity in the tumor niche. As a result, cancer cells acquire alternative pathways in response to the changing microenvironment, posin
Externí odkaz:
https://doaj.org/article/52978fa5f68e434693dd8d57c27cfdc3
Autor:
Rafiou Agoro, Intawat Nookaew, Megan L. Noonan, Yamil G. Marambio, Sheng Liu, Wennan Chang, Hongyu Gao, Lainey M. Hibbard, Corinne E. Metzger, Daniel Horan, William R. Thompson, Xiaoling Xuei, Yunlong Liu, Chi Zhang, Alexander G. Robling, Lynda F. Bonewald, Jun Wan, Kenneth E. White
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
IntroductionDue to a lack of spatial-temporal resolution at the single cell level, the etiologies of the bone dysfunction caused by diseases such as normal aging, osteoporosis, and the metabolic bone disease associated with chronic kidney disease (CK
Externí odkaz:
https://doaj.org/article/80c1a0d4f60f4299bc60171040e9f822
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 3, p e1009956 (2022)
Metastatic cancer accounts for over 90% of all cancer deaths, and evaluations of metastasis potential are vital for minimizing the metastasis-associated mortality and achieving optimal clinical decision-making. Computational assessment of metastasis
Externí odkaz:
https://doaj.org/article/39b26628dbe34ec491dda2b5fbdd9f46
Autor:
Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao, Chi Zhang
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S24, Pp 1-5 (2019)
Abstract Background Various statistical models have been developed to model the single cell RNA-seq expression profiles, capture its multimodality, and conduct differential gene expression test. However, for expression data generated by different exp
Externí odkaz:
https://doaj.org/article/fa5c57a58ff64adaa20df927ac574689
Autor:
Zixuan Zhang, Haiqi Zhu, Pengtao Dang, Jia Wang, Wennan Chang, Xiao Wang, Norah Alghamdi, Alex Lu, Yong Zang, Wenzhuo Wu, Yijie Wang, Yu Zhang, Sha Cao, Chi Zhang
Publikováno v:
Nucleic Acids Research.
Quantitative assessment of single cell fluxome is critical for understanding the metabolic heterogeneity in diseases. Unfortunately, laboratory-based single cell fluxomics is currently impractical, and the current computational tools for flux estimat
Autor:
Rafiou Agoro, Intawat Nookaew, Megan L. Noonan, Yamil G. Marambio, Sheng Liu, Wennan Chang, Hongyu Gao, Lainey M. Hibbard, Corinne E. Metzger, Daniel Horan, William R. Thompson, Xiaoling Xuei, Yunlong Liu, Chi Zhang, Alexander G. Robling, Lynda F. Bonewald, Jun Wan, Kenneth E. White
IntroductionDue to a lack of spatial-temporal resolution at the single cell level, the etiologies of the bone dysfunction caused by diseases such as normal aging, osteoporosis, and the metabolic bone disease associated with chronic kidney disease (CK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e48a1fad3f1d2b765e5447526191473
https://doi.org/10.1101/2022.07.30.502024
https://doi.org/10.1101/2022.07.30.502024
Publikováno v:
Briefings in Bioinformatics. 23
Autor:
Zixuan Zhang, Wennan Chang, Norah Alghamdi, Mengyuan Fei, Changlin Wan, Alex Lu, Yong Zang, Ying Xu, Wenzhuo Wu, Sha Cao, Yu Zhang, Chi Zhang
Quantitative assessment of single cell fluxome is critical for understanding the metabolic heterogeneity in diseases. Unfortunately, single cell fluxomics using laboratory approaches is currently infeasible, and none of the current flux estimation to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6c0b11dc61b552d2bd6efb613c12d5d
https://doi.org/10.1101/2022.06.18.496660
https://doi.org/10.1101/2022.06.18.496660
Acid-base homeostasis is a fundamental property of living cells and its persistent disruption in human cells can lead to a wide range of diseases. We have conducted computational modeling and analysis of transcriptomic data of 4750 human tissue sampl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebaa7d0e7de2cf506906e5e82b284589
https://doi.org/10.1101/2022.03.04.482927
https://doi.org/10.1101/2022.03.04.482927