@article{ChenLiZhangetal.2019,
  author    = {Chen, Shun-Gang and Li, Ji and Zhang, Fan and Xiao, Bo and Hu, Jia-Ming and Cui, Yin-Qiu and Hofreiter, Michael and Hou, Xin-Dong and Sheng, Gui-Lian and Lai, Xu-Long and Yuan, Jun-Xia},
  title     = {Different maternal lineages revealed by ancient mitochondrial genome of Camelus bactrianus from China},
  series = {Mitochondrial DNA Part A},
  volume    = {30},
  journal   = {Mitochondrial DNA Part A},
  number    = {7},
  publisher = {Routledge, Taylor \& Francis Group},
  address   = {Abingdon},
  issn      = {2470-1394},
  doi       = {10.1080/24701394.2019.1659250},
  pages     = {786 -- 793},
  year      = {2019},
  abstract  = {Domestic Bactrian camel (Camelus bactrianus) used to be one of the most important livestock species in Chinese history, as well as the major transport carrier on the ancient Silk Road. However, archeological studies on Chinese C. bactrianus are still limited, and molecular biology research on this species is mainly focused on modern specimens. In this study, we retrieved the complete mitochondrial genome from a C. bactrianus specimen, which was excavated from northwestern China and dated at 1290-1180 cal. Phylogenetic analyses using 18 mitochondrial genomes indicated that the C. bactrianus clade was divided into two maternal lineages. The majority of samples originating from Iran to Japan and Mongolia belong to subclade A1, while our sample together with two Mongolian individuals formed the much smaller subclade A2. Furthermore, the divergence time of these two maternal lineages was estimated as 165 Kya (95\% credibility interval 117-222 Kya), this might indicate that several different evolutionary lineages were incorporated into the domestic gene pool during the initial domestication process. Bayesian skyline plot (BSP) analysis a slow increase in female effective population size of C. bactrianus from 5000 years ago, which to the beginning of domestication of C. bactrianus. The present study also revealed that there were extensive exchanges of genetic information among C. bactrianus populations in regions along the Silk Road.},
  language  = {en}
}
@article{LuoChenZengetal.2018,
  author    = {Luo, Ting and Chen, Xiaoyi and Zeng, Shufei and Guan, Baozhang and Hu, Bo and Meng, Yu and Liu, Fanna and Wong, Taksui and Lu, Yongpin and Yun, Chen and Hocher, Berthold and Yin, Lianghong},
  title     = {Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma},
  series = {Oncology Letters},
  volume    = {16},
  journal   = {Oncology Letters},
  number    = {2},
  publisher = {Spandidos publ LTD},
  address   = {Athens},
  issn      = {1792-1074},
  doi       = {10.3892/ol.2018.8842},
  pages     = {1747 -- 1757},
  year      = {2018},
  abstract  = {The present study aimed to identify new key genes as potential biomarkers for the diagnosis, prognosis or targeted therapy of clear cell renal cell carcinoma (ccRCC). Three expression profiles (GSE36895, GSE46699 and GSE71963) were collected from Gene Expression Omnibus. GEO2R was used to identify differentially expressed genes (DEGs) in ccRCC tissues and normal samples. The Database for Annotation, Visualization and Integrated Discovery was utilized for functional and pathway enrichment analysis. STRING v10.5 and Molecular Complex Detection were used for protein-protein interaction (PPI) network construction and module analysis, respectively. Regulation network analyses were performed with the WebGestal tool. UALCAN web-portal was used for expression validation and survival analysis of hub genes in ccRCC patients from The Cancer Genome Atlas (TCGA). A total of 65 up- and 164 downregulated genes were identified as DEGs. DEGs were enriched with functional terms and pathways compactly related to ccRCC pathogenesis. Seventeen hub genes and one significant module were filtered out and selected from the PPI network. The differential expression of hub genes was verified in TCGA patients. Kaplan-Meier plot showed that high mRNA expression of enolase 2 (ENO2) was associated with short overall survival in ccRCC patients (P=0.023). High mRNA expression of cyclin D1 (CCND1) (P<0.001), fms related tyrosine kinase 1 (FLT1) (P=0.004), plasminogen (PLG) (P<0.001) and von Willebrand factor (VWF) (P=0.008) appeared to serve as favorable factors in survival. These findings indicate that the DEGs may be key genes in ccRCC pathogenesis and five genes, including ENO2, CCND1, PLT1, PLG and VWF, may serve as potential prognostic biomarkers in ccRCC.},
  language  = {en}
}