Bioinformatics analysis of differentially expressed proteins in prostate cancer based on proteomics data

C Chen, LG Zhang, J Liu, H Han, N Chen… - OncoTargets and …, 2016 - Taylor & Francis
… Thus, we conducted general bioinformatics analysis of human PCa occurrence and metastasis
… As shown in Tables 2 and 3 , we found that some changes in proteins are not consistent. …

[HTML][HTML] Identification of prostate cancer-related circular RNA through bioinformatics analysis

YP Wu, XD Lin, SH Chen, ZB Ke, F Lin, DN Chen… - Frontiers in …, 2020 - frontiersin.org
… downregulated in PC-3 cells when compared with RWPE-1 cells, while the expression of
hsa_circ_0031408 and hsa_circ_0085494 was significantly upregulated in PC-3 cells when …

Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis

Z Zhu, Y Wen, C Xuan, Q Chen, Q Xiang… - FEBS Open …, 2020 - Wiley Online Library
… In this study, we systematically analyzed molecular correlates of bone metastasis by
bioinformatics analysis. A total of 12 differentially expressed microRNAs (miRNAs) and 102 …

[HTML][HTML] Identification of candidate genes that may contribute to the metastasis of prostate cancer by bioinformatics analysis

L Liu, K Guo, Z Liang, F Li, H Wang - Oncology letters, 2018 - spandidos-publications.com
To screen for marker genes associated with to the metastasis of prostate cancer (PCa), in
silico analysis of the Gene Expression Omnibus dataset GSE27616, which included 4 …

miR‐93‐5p may be an important oncogene in prostate cancer by bioinformatics analysis

Y Yang, B Jia, X Zhao, Y Wang… - Journal of cellular …, 2019 - Wiley Online Library
… Briefly, after transfection, PC-3 cells were cultured in 96-well plates at 3 × 10 3 for 24, 48,
72 or 96 hours, and then 10 μL CCK-8 was added to each well. After incubation at 37℃ for 4 …

Identification of potential key genes and pathways in enzalutamide‐resistant prostate cancer cell lines: A bioinformatics analysis with data from the gene expression …

L Zheng, X Dou, X Ma, W Qu… - BioMed Research …, 2020 - Wiley Online Library
… information were inputted, and the analysis was carried out using GSEA 4.0.3 software. …
-R PC cells are urgently needed. Second, the results of our present bioinformatics analysis are …

Profiling and bioinformatics analyses of differential circular RNA expression in prostate cancer cells

C Zhang, J Xiong, Q Yang, Y Wang, H Shi… - Future science …, 2018 - Taylor & Francis
… circRNAs were evaluated by bioinformatics analyses. Results: … Conclusion: The results of
our bioinformatics analyses … function was predicted by bioinformatics analyses. In total, 9545 …

Principal component analysis based methods in bioinformatics studies

S Ma, Y Dai - Briefings in bioinformatics, 2011 - academic.oup.com
… that analysis techniques discussed in this article are also applicable to other types of
bioinformatics … PCA is one of the oldest dimension reduction approaches [3, 4]. It searches for …

[HTML][HTML] Identification of plasma lipid biomarkers for prostate cancer by lipidomics and bioinformatics

X Zhou, J Mao, J Ai, Y Deng, MR Roth, C Pound… - PloS one, 2012 - journals.plos.org
… Weka 3.73 version software was used in bioinformatics analysis: Simple … 3. Identified lipid
species were exclusively phosphocholine-containing phospholipids, including 3 ePCs, 3 PCs, …

[HTML][HTML] Identification of potential biomarkers and pivotal biological pathways for prostate cancer using bioinformatics analysis methods

Z He, X Duan, G Zeng - PeerJ, 2019 - peerj.com
… sequencing technology and bioinformatic analysis methods, the … , by either analysis of a
single dataset or integrated analysis of … Other integrated bioinformatic analysis using four GEO …