Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jiasun Lu"'
Autor:
Xiaoyan Ma, Min Tao, Yan Hu, Lunxian Tang, Jiasun Lu, Yingfeng Shi, Hui Chen, Si Chen, Yi Wang, Binbin Cui, Lin Du, Weiwei Liang, Guansen Huang, Xun Zhou, Andong Qiu, Shougang Zhuang, Xiujuan Zang, Na Liu
Publikováno v:
Renal Failure, Vol 43, Iss 1, Pp 754-765 (2021)
Background: The new Family-Community-Hospital (FCH) three-level comprehensive management aimed to improve the efficiency and scale of peritoneal dialysis (PD) to meet the increased population of end-stage renal disease (ESRD). Our study focused on th
Externí odkaz:
https://doaj.org/article/a28b364b2476486ca0a09d1978bb8887
Autor:
Yi Wang, Na Liu, Xun Zhou, Min Tao, Guansen Huang, Lunxian Tang, Andong Qiu, Si Chen, Shougang Zhuang, Xiaoyan Ma, Binbin Cui, Weiwei Liang, Yan Hu, Xiujuan Zang, Lin Du, Jiasun Lu, Yingfeng Shi, Hui Chen
Publikováno v:
Renal Failure, Vol 43, Iss 1, Pp 754-765 (2021)
Background: The new Family-Community-Hospital (FCH) three-level comprehensive management aimed to improve the efficiency and scale of peritoneal dialysis (PD) to meet the increased population of end-stage renal disease (ESRD). Our study focused on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8795ac9530cf98d145e5ed64015855ff
https://doaj.org/article/a28b364b2476486ca0a09d1978bb8887
https://doaj.org/article/a28b364b2476486ca0a09d1978bb8887
Autor:
Na Liu, Yi Wang, Tao Lin, Hongwei Gu, Lu Fang, Wenfang Bao, Yingfeng Shi, Jiasun Lu, Liuqing Xu, Shuchen Ma, Min Tao, Andong Qiu, Shougang Zhuang
Hyperuricemia has been identified as an independent risk factor for chronic kidney disease (CKD) and is associated with the progression of kidney diseases. It remains unknown whether enhancer of zeste homolog 2 (EZH2), a histone H3 lysine 27 methyltr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::853cabf32734578fb89b65f6c5fb60b9
https://europepmc.org/articles/PMC6734054/
https://europepmc.org/articles/PMC6734054/
Autor:
Yingfeng Shi, Liuqing Xu, Min Tao, Lu Fang, Jiasun Lu, Hongwei Gu, Shuchen Ma, Tao Lin, Yi Wang, Wenfang Bao, Andong Qiu, Shougang Zhuang, Na Liu
Publikováno v:
American Journal of Physiology: Renal Physiology; Mar2019, Vol. 316 Issue 3, pF488-F505, 18p, 12 Graphs
Publikováno v:
Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine. 36(5)
The regulation of microRNA-192 (miR-192) is impaired in many cancers. Here, we investigated the role of miR-192 in the proliferation, cell cycle progression, and apoptosis of bladder cancer cells. Human bladder cancer cells were transfected with huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbed7bbda355175996e68be11fcd1543
https://pubmed.ncbi.nlm.nih.gov/25566965
https://pubmed.ncbi.nlm.nih.gov/25566965
Publikováno v:
Diagnostic Pathology. 9
Background: Prostate cancer (PCa) is a biologically heterogeneous disease with considerable variation in clinical aggressiveness. In this study, bioinformatics was used to detect the patterns of gene expression alterations of PCa patients. Methods: T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94176a995802a6e1afa54c04b87413fa
https://doi.org/10.1186/s13000-014-0156-1
https://doi.org/10.1186/s13000-014-0156-1
Publikováno v:
Molecular Medicine Reports
The goal of this study was to identify cancer-associated differentially expressed genes (DEGs), analyze their biological functions and investigate the mechanism(s) of cancer occurrence and development, which may provide a theoretical foundation for b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3269f6dee992bd45e1d5e1b57944770d
https://pubmed.ncbi.nlm.nih.gov/25050631
https://pubmed.ncbi.nlm.nih.gov/25050631
Publikováno v:
Diagnostic Pathology; 2014, Vol. 9 Issue 1, p1-14, 14p
Publikováno v:
Molecular Medicine Reports; 2014, Vol. 10 Issue 4, p1746-1752, 7p
Publikováno v:
Diagnostic Pathology
Prostate cancer (PCa) is a biologically heterogeneous disease with considerable variation in clinical aggressiveness. In this study, bioinformatics was used to detect the patterns of gene expression alterations of PCa patients. The gene expression pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bb87f48f6d068d25317bccb1a2a7797