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Genes & Genomics

, Volume 41, Issue 12, pp 1493–1503 | Cite as

Integrated analysis of quantitative proteome and transcriptional profiles reveals abnormal gene expression and signal pathway in bladder cancer

  • Songbai Liao
  • Minglin Ou
  • Liusheng Lai
  • Hua Lin
  • Yaoshuang Zou
  • Yonggang Yu
  • Xuede Li
  • Yong Dai
  • Weiguo SuiEmail author
Research Article

Abstract

Background

Bladder cancer (BCa) is a tumor associated with high morbidity and mortality and its incidence is increasing worldwide. However, the pathogenesis of bladder cancer is not well understood.

Objective

To further illustrate the molecular mechanisms involved in the pathogenesis of BCa and identify potential therapeutic targets, we combined the transcriptomic analysis with RNA sequencing and tandem mass tags (TMT)-based proteomic methods to quantitatively screen the differentially expressed genes and proteins between bladder cancer tissues (BC) and adjacent normal tissues (AN).

Results

Transcriptome and proteome studies indicated 7094 differentially expressed genes (DEGs) and 596 differentially expressed proteins (DEPs) between BC and AN, respectively. GO enrichment analyses revealed that cell adhesion, calcium ion transport, and regulation of ATPase activity were highly enriched in BCa. Moreover, several key signaling pathway were identified as of relevance to BCa, in particular the ECM-receptor interaction, cell adhesion molecules (CAMs), and PPAR signaling pathway. Interestingly, 367 genes were shared by DEGs and DEPs, and a significant positive correlation between mRNA and translation profiles was found.

Conclusion

In summary, this joint analysis of transcript and protein profiles provides a comprehensive reference map of gene activity regarding the disease status of BCa.

Keywords

Bladder cancer RNA sequencing Proteomic 

Notes

Acknowledgements

We wish to thank the patients for their invaluable participation in this study. This work was supported by Project Plan Document of Guangxi Key Laboratory Construction (17-259-57), and Science and Technology Planning Project of Guangdong Province, China (No. 2017B020209001).

Compliance with ethical standards

Conflict of interest

Songbai Liao, Minglin Ou, Liusheng Lai, Hua Lin, Yaoshuang Zou, Yonggang Yu, Xuede Li, Yong Dai, and Weiguo Sui declare that they have no conflict of interest.

Supplementary material

13258_2019_868_MOESM1_ESM.doc (22 kb)
Supplementary material 1 (DOC 22 kb)
13258_2019_868_MOESM2_ESM.xlsx (902 kb)
Supplementary material 2 (XLSX 902 kb)
13258_2019_868_MOESM3_ESM.csv (120 kb)
Supplementary material 3 (CSV 120 kb)
13258_2019_868_MOESM4_ESM.csv (11 kb)
Supplementary material 4 (CSV 11 kb)

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Copyright information

© The Genetics Society of Korea 2019

Authors and Affiliations

  1. 1.The First School of Clinical MedicineSouthern Medical UniversityGuangdongChina
  2. 2.Guangxi Key Laboratory of Metabolic Diseases Research, Affiliated No.924 Military HospitalSouthern Medical UniversityGuangxiChina
  3. 3.Department of Urology, Affiliated No.924 Military HospitalSouthern Medical UniversityGuangxiChina
  4. 4.Clinical Medical Research CenterThe Second Clinical Medical College of Jinan University (Shenzhen People’s Hospital)ShenzhenPeople’s Republic of China

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