| Title |
The protein–protein interaction network and clinical significance of heat-shock proteins in esophageal squamous cell carcinoma
|
|---|---|
| Published in |
Amino Acids, April 2018
|
| DOI | 10.1007/s00726-018-2569-8 |
| Pubmed ID | |
| Authors |
Hong Sun, Xinyi Cai, Haofeng Zhou, Xiaoqi Li, Zepeng Du, Haiying Zou, Jianyi Wu, Lei Xie, Yinwei Cheng, Wenming Xie, Xiaomei Lu, Liyan Xu, Longqi Chen, Enmin Li, Bingli Wu |
| Abstract |
Heat-shock proteins (HSPs), one of the evolutionarily conserved protein families, are widely found in various organisms, and play important physiological functions. Nevertheless, HSPs have not been systematically analyzed in esophageal squamous cell carcinoma (ESCC). In this study, we applied the protein-protein interaction (PPI) network methodology to explore the characteristics of HSPs, and integrate their expression in ESCC. First, differentially expressed HSPs in ESCC were identified from our previous RNA-seq data. By constructing a specific PPI network, we found differentially expressed HSPs interacted with hundreds of neighboring proteins. Subcellular localization analyses demonstrated that HSPs and their interacting proteins distributed in multiple layers, from membrane to nucleus. Functional enrichment annotation analyses revealed known and potential functions for HSPs. KEGG pathway analyses identified four significant enrichment pathways. Moreover, three HSPs (DNAJC5B, HSPA1B, and HSPH1) could serve as promising targets for prognostic prediction in ESCC, suggesting these HSPs might play a significant role in the development of ESCC. These multiple bioinformatics analyses have provided a comprehensive view of the roles of heat-shock proteins in esophageal squamous cell carcinoma. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 25% |
| Researcher | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Other | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 38% |
| Agricultural and Biological Sciences | 1 | 13% |
| Mathematics | 1 | 13% |
| Social Sciences | 1 | 13% |
| Chemistry | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2018.
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#20,483,282
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Outputs from Amino Acids
#1,290
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Outputs of similar age
#287,458
of 326,468 outputs
Outputs of similar age from Amino Acids
#25
of 29 outputs
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