Zobrazeno 1 - 10
of 26
pro vyhledávání: '"YU-XIANG SHI"'
Autor:
TENG-HE MA, MENG-XIAO LI, BEI-BEI ZHANG, XUE-NAN LI, JIA-RONG WEI, HONG-NA WANG, BIN WANG, YU-XIANG SHI
Publikováno v:
Indian Journal of Animal Sciences, Vol 92, Iss 11 (2022)
In this study, the new circFBN1 derived from the FBN1 gene was identified. The expression spectrum of circFBN1 in various tissues and follicles of Taihang chickens was verified and analyzed. The effects on proliferation of GCs were checked. The resul
Externí odkaz:
https://doaj.org/article/14de2b35fc2c47fa914d2e997786a6bf
Autor:
Bo Luo, Jia-mei Chen, Jie Liu, Wen-he Li, Yu-xiang Shi, Pan Zeng, Yong-hui Xie, Hong-feng Zhang
Publikováno v:
Diagnostic Pathology, Vol 12, Iss 1, Pp 1-5 (2017)
Abstract Background Intravascular large B-cell lymphoma (IVLBCL) is a subtype of diffuse large B-cell lymphoma (DLBCL) that is rare and highly aggressive and that may progressively involve many organs. CNS (central nervous system), BM (bone marrow) a
Externí odkaz:
https://doaj.org/article/1d5bc98ce0fa4b69964649b8a36fe731
Publikováno v:
Indian Journal of Animal Sciences, Vol 89, Iss 2 (2019)
In this study, using the direct sequencing technology, 6 SNPs were identified in PRL gene, among which, 3 SNPs were present in coding region and 3 in 3’UTR. Mutations in coding region did not change the protein sequences. SNPs g.4603, g.8823 a
Externí odkaz:
https://doaj.org/article/4589a3adfffc4829b9159cfc4bc85ec1
Publikováno v:
Indian Journal of Animal Sciences, Vol 86, Iss 10 (2016)
In this study, the expression profiles of the miR-183 cluster were explored in bovine dominant and subordinate follicles and different luteal phases. This miRNA cluster showed higher expression levels in dominant bovine follicles than in subordinates
Externí odkaz:
https://doaj.org/article/a311c59705724e5194e49212251546ec
Publikováno v:
Theriogenology. 202:84-92
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1db1989398c2bafee3cfdb2d4e4e9a3
https://doi.org/10.1016/j.theriogenology.2023.03.010
https://doi.org/10.1016/j.theriogenology.2023.03.010
Autor:
Yong Li, Yu Xiang Shi, Hong Da Lu, Bo Luo, Tang Wei Wu, Zhong Xin Lu, Qing Zhi Kong, Xiaoyi Li, Shui Yi Liu, Hui Hu, Wei Qun Chen
Publikováno v:
Oncotarget
miR-145 has been implicated in the progression of breast cancer. Here, we report that its expression is decreased in breast cancer specimens and cell lines and that this low level of expression is associated with DNA methylation of its gene, MIR145.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa125cfe707cd9c77c4b6ff2b6bec10d
http://europepmc.org/articles/PMC5617460
http://europepmc.org/articles/PMC5617460
Publikováno v:
Journal of Dairy, Veterinary & Animal Research. 6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd821d9aea58faecf99e7516f40d3ec6
https://doi.org/10.15406/jdvar.2017.06.00173
https://doi.org/10.15406/jdvar.2017.06.00173
Publikováno v:
The Indian Journal of Animal Sciences. 87
In this study, dual luciferase assay was emplyed to validate whether the BMP2 is a direct target gene of bovine miR-378. miR-378 mimics had extremely significant effects on the luciferase activity of wild BMP2 3’-UTR, but had no effect on the mutat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8526f91473d497f679e3750d06b273aa
https://doi.org/10.56093/ijans.v87i6.71188
https://doi.org/10.56093/ijans.v87i6.71188
Publikováno v:
Applied Mechanics and Materials. :1218-1221
A new predictive model has proposed based on compensation fuzzy neural networks for thermal error in NC machine tools . The structure of model , fuzzy rule , training algorithm and some technological problems are discussed.And the result of intellige
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e939460257c8a48f908b43a1fd06bd3
https://doi.org/10.4028/www.scientific.net/amm.395-396.1218
https://doi.org/10.4028/www.scientific.net/amm.395-396.1218
Publikováno v:
Applied Mechanics and Materials. :123-126
Based on the theory of roughness during cylinder grinding and the theory of fuzzy-neural network, a surface roughness intelligent prediction model is developed in this paper. The feed, speed, and the vibration data are the inputs for the model. An ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08c9a1a858b1a9a1346b7fc5aaea8063
https://doi.org/10.4028/www.scientific.net/amm.157-158.123
https://doi.org/10.4028/www.scientific.net/amm.157-158.123