scholarly journals Validation of the Hsp70–Bag3 Protein–Protein Interaction as a Potential Therapeutic Target in Cancer

2015 ◽  
Vol 14 (3) ◽  
pp. 642-648 ◽  
Author(s):  
Xiaokai Li ◽  
Teresa Colvin ◽  
Jennifer N. Rauch ◽  
Diego Acosta-Alvear ◽  
Martin Kampmann ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Therapeutic Target ◽  
Potential Therapeutic Target ◽  
Protein Protein Interaction

scholarly journals Circular RNA—Is the Circle Perfect?

Biomolecules ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1755
Author(s):  
Lavinia Caba ◽  
Laura Florea ◽  
Cristina Gug ◽  
Daniela Cristina Dimitriu ◽  
Eusebiu Vlad Gorduza
Keyword(s):  
Cell Cycle ◽  
Protein Interaction ◽  
Therapeutic Target ◽  
Circular Rna ◽  
Regulatory Role ◽  
Regulation Of Transcription ◽  
Distinct Class ◽  
Protein Protein Interaction ◽  
Non Coding Rna ◽  
Microrna Sponge

Circular RNA (circRNA) is a distinct class of non-coding RNA produced, in principle, using a back-splicing mechanism, conserved during evolution, with increased stability and a tissue-dependent expression. Circular RNA represents a functional molecule with roles in the regulation of transcription and splicing, microRNA sponge, and the modulation of protein–protein interaction. CircRNAs are involved in essential processes of life such as apoptosis, cell cycle, and proliferation. Due to the regulatory role (upregulation/downregulation) in pathogenic mechanisms of some diseases (including cancer), its potential roles as a biomarker or therapeutic target in these diseases were studied. This review focuses on the importance of circular RNA in cancer.

scholarly journals Identification of cell division cycle 20 as a candidate biomarker and potential therapeutic target in bladder cancer using bioinformatics analysis

2020 ◽  
Vol 40 (7) ◽  
Author(s):  
Peilin Shen ◽  
Xuejun He ◽  
Lin Lan ◽  
Yingkai Hong ◽  
Mingen Lin
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Cell Division ◽  
Mrna Expression ◽  
Therapeutic Target ◽  
Gene Expression Omnibus ◽  
Cell Division Cycle ◽  
Hub Genes ◽  
Potential Therapeutic Target ◽  
Protein Protein Interaction

Abstract Purpose: As bladder cancer (BC) is very heterogeneous and complicated in the genetic level, exploring genes to serve as biomarkers and therapeutic targets is practical. Materials and methods: We searched Gene Expression Omnibus (GEO) and downloaded the eligible microarray datasets. After intersection analysis for identified differentially expressed genes (DEGs) of included datasets, overlapped DEGs were identified and subsequently analyzed with Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Protein–Protein Interaction (PPI) and hub genes identification. Hub genes were further analyzed with mRNA expression comparation in Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) database, proteomics-based validation in The Human Protein Atlas (THPA) and survival analysis in GEO and Oncolnc database. Results: We analyzed five eligible GEO datasets and identified 76 overlapped DEGs mapped into PPI network with 459 edges which were mainly enriched in cell cycle pathway and related terms in GO and KEGG analysis. Among five identified hub genes, which are Cyclin-Dependent Kinase 1 (CDK1), Ubiquitin-Conjugating Enzyme E2 C (UBE2C), Cell Division Cycle 20 (CDC20), Microtubule Nucleation Factor (TPX2) and Cell Division Cycle Associated 8 (CDCA8); CDC20 and CDCA8 were confirmed as significant in mRNA expression comparation and proteomics-based validation. However, only CDC20 was considered prognostically significant in both GEO and Oncolnc database. Conclusions: CDC20 and CDCA8 were identified as candidate diagnostic biomarkers for BC in the present study; however, only CDC20 was validated as prognostically valuable and may possibly serve as a candidate prognostic biomarker and potential therapeutic target. Still, further validation studies are essential and indispensable.

scholarly journals Protein–protein interaction analysis reveals a novel cancer stem cell related target TMEM17 in colorectal cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhao-liang Yu ◽  
Yu-feng Chen ◽  
Bin Zheng ◽  
Ze-rong Cai ◽  
Yi-feng Zou ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Stem Cell ◽  
Protein Interaction ◽  
Therapeutic Target ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Functional Study ◽  
Clinical Samples ◽  
Stem Cell Markers ◽  
Protein Protein Interaction

Abstract Background Cancer stem cells (CSCs) are a small subpopulation of cells within tumors with stem cell property. Increased evidence suggest that CSCs could be responsible for chemoresistance and recurrence in colorectal cancer (CRC). However, a reliable therapeutic target on CSCs is still lacking. Methods Here we describe a two-step strategy to generate CSC targets with high selectivity for colon stem cell markers, specific proteins that are interacted with CSC markers were selected and subsequently validated in a survival analysis. TMEM17 protein was found and its biological functions in CRC cells were further examined. Finally, we utilized the Gene Set Enrichment Analysis (GSEA) to investigate the potential mechanisms of TMEM17 in CRC. Results By combining protein–protein interaction (PPI) database and high-throughput gene profiles, network analysis revealed a cluster of colon CSCs related genes. In the cluster, TMEM17 was identified as a novel CSCs related gene. The results of in-vitro functional study demonstrated that TMEM17 depletion can suppress the proliferation of CRC cells and sensitize CRC cells to chemotherapy drugs. Enrichment analysis revealed that the expression of TMEM17 is associated with the magnitude of activation of the Wnt/β-catenin pathway. Further validation in clinical samples demonstrated that the TMEM17 expression was much higher in tumor than normal tissue and was associated with poor survival in CRC patients. Conclusion Collectively, our finding unveils the critical role of TMEM17 in CRC and TMEM17 could be a potential effective therapeutic target for tumor recurrence and chemoresistance in the colorectal cancer (CRC).

An efficient transient assays system using Agrobacterium-mediated transformation of onion (Allium cepa) epidermal cells

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Yu-Miao Zhang ◽  
Jun Wang ◽  
Tao Wu
Keyword(s):  
Subcellular Localization ◽  
Protein Interaction ◽  
Protein Interactions ◽  
Epidermal Cells ◽  
Cyclin Dependent Kinase ◽  
Protein Subcellular Localization ◽  
Protein Protein Interactions ◽  
Efficient System ◽  
Protein Protein Interaction ◽  
Onion Epidermal Cells

In this study, the Agrobacterium infection medium, infection duration, detergent, and cell density were optimized. The sorghum-based infection medium (SbIM), 10-20 min infection time, addition of 0.01% Silwet L-77, and Agrobacterium optical density at 600 nm (OD600), improved the competence of onion epidermal cells to support Agrobacterium infection at >90% efficiency. Cyclin-dependent kinase D-2 (CDKD-2) and cytochrome c-type biogenesis protein (CYCH), protein-protein interactions were localized. The optimized procedure is a quick and efficient system for examining protein subcellular localization and protein-protein interaction.

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