Zobrazeno 1 - 10
of 418
pro vyhledávání: '"Shuai, Xiao"'
Publikováno v:
Cell & Bioscience, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Tripartite motif-containing 24 (TRIM24), also known as transcriptional intermediary factor 1α (TIF1α), is the founding member of TIF1 family. Recent evidence indicates that aberrant expression of TRIM24, functions as an oncogene, is associ
Externí odkaz:
https://doaj.org/article/29b4718958cc451cb299b2bb2f0c01b1
Autor:
Xiangwen Tan, Yiwei Zhang, Xiaofeng Wu, Qing Fang, Yunhua Xu, Shuxiang Li, Jinyi Yuan, Xiuda Peng, Kai Fu, Shuai Xiao
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Neoadjuvant chemoradiotherapy (NCRT) followed by total mesorectal excision (TME) is the standard treatment for locally advanced rectal cancer (LARC). Mucinous adenocarcinoma (MAC) is a potential poor prognosis subgroup of rectal c
Externí odkaz:
https://doaj.org/article/9e4e8c3499044c05aaa509ff3b90242f
Autor:
Wenbin Yuan, Wei Liu, Huili Huang, Xingyu Chen, Rui Zhang, Hao Lyu, Shuai Xiao, Dong Guo, Qi Zhang, Declan William Ali, Marek Michalak, Xing-Zhen Chen, Cefan Zhou, Jingfeng Tang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The prevalence of non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers, with the Wnt/β-catenin signaling pathway exhibiting robust activation in this particular subtype. The expression of FAM83A (family with sequence simi
Externí odkaz:
https://doaj.org/article/3c23474c376a475782f989c0587b5c67
Autor:
Wenbin Yuan, Rui Zhang, Hao Lyu, Shuai Xiao, Dong Guo, Qi Zhang, Declan William Ali, Marek Michalak, Xing-Zhen Chen, Cefan Zhou, Jingfeng Tang
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-19 (2024)
Abstract tRNA is the RNA type that undergoes the most modifications among known RNA, and in recent years, tRNA methylation has emerged as a crucial process in regulating gene translation. Dysregulation of tRNA abundance occurs in cancer cells, along
Externí odkaz:
https://doaj.org/article/214e79f3225840bc82f4e277c95c7812
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-15 (2024)
Abstract Background The basic helix-loop-helix family member e41 (BHLHE41) is frequently dysregulated in tumors and plays a crucial role in malignant progression of various cancers. Nevertheless, its specific function and underlying mechanism in blad
Externí odkaz:
https://doaj.org/article/cf73f66bcbe44824bdb8948a2a5218ac
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The etiopathogenesis of severe acute pancreatitis (SAP) remains poorly understood. We aim to investigate the role of immune cells Infiltration Characteristics during SAP progression. Gene expression profiles of the GSE194331 dataset were ret
Externí odkaz:
https://doaj.org/article/391a8cef2f494ef89e7f992fc1fe3916
Publikováno v:
Genes and Diseases, Vol 11, Iss 6, Pp 101192- (2024)
Externí odkaz:
https://doaj.org/article/4a0185269af6400aa61def8f40edc2de
Autor:
Fangqiang Song, Qinglun Li, Jiyao Cui, Jianhua Wang, Shuai Xiao, Bo Yu, Yanqi Sun, Wenke Song, Linlin Wu, Yongqin Zhou
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
BackgroundSepsis is commonly associated with a sudden impairment of brain function, thus leading to significant rates of illness and mortality. The objective of this research was to integrate microbiome and metabolome to reveal the mechanism of micro
Externí odkaz:
https://doaj.org/article/cb12d0f8710645fcb23a047b58ab9e66
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13669-13677 (2024)
Remote sensing image analysis plays a vital role in achieving intelligent agricultural monitoring. However, the acquisition of high-resolution agricultural remote sensing data can be resource-intensive, resulting in an imbalance between training samp
Externí odkaz:
https://doaj.org/article/8b13ba540e1742a7b01973da2e0ef14a
Publikováno v:
IEEE Access, Vol 12, Pp 75426-75441 (2024)
Previous research on automatic control of high-speed trains in speed limit sections is insufficient. This article proposes a new offline reinforcement learning strategy for automatic tracking of autonomous trains. Firstly, the operating speed and dec
Externí odkaz:
https://doaj.org/article/9d4827e649c04858b9eeb62c364e8737