scholarly journals Circular RNA signatures of human healing and non-healing wounds

2021 ◽  
Author(s):  
Maria A. Toma ◽  
Zhuang Liu ◽  
Qizhang Wang ◽  
Letian Zhang ◽  
Dongqing Li ◽  
...  
Keyword(s):  
Wound Healing ◽  
In Silico ◽  
Expression Profiles ◽  
Healing Process ◽  
In Silico Analysis ◽  
Clinical Samples ◽  
Small Rna Sequencing ◽  
Web Resource ◽  
Healing Wounds ◽  
Silico Analysis

Background: Although the widespread expression of circular RNAs (circRNAs) has only been recognized recently, increasing evidence has suggested their important roles in health and disease. To identify clinically relevant circRNAs with potential for wound diagnosis and therapy, an in-depth characterization of circRNA expression in human healing and non-healing wounds is a prerequisite that has not been attained yet. Methods: We collected wound-edge biopsies through the healing process of healthy donors and in chronic non-healing venous ulcers (VU). Paired total RNA- and small RNA-sequencing were performed to profile circRNAs, protein-coding mRNAs, and microRNA expression. We analyzed the co-expression relationship between circRNAs and mRNAs with weighted correlation network analysis (WGCNA) and constructed circRNA-microRNA-mRNA networks. For the circRNAs surfaced in the in-silico analysis, after validating their expression with RT-PCR and sequencing, we silenced hsa-CHST15_0003 and hsa-TNFRSF21_0001 expression in keratinocytes with siRNAs and studied their function with transcriptomic profiling and live-cell monitoring. Results: Our study unravels the dynamically changed expression patterns of circRNAs during human skin wound healing and their abnormal expression signature in VU, which are presented as a searchable web resource (http://130.229.28.87/shiny/circRNA_wholebiopsy-shinyApp/). In silico analysis deciphers the circRNA-miRNAs-mRNA networks specific to the inflammatory and proliferative phases of wound repair and VU, the biological processes that circRNAs are involved, and the circRNAs that could act as miRNAs sponge in human wounds. Importantly, we found that hsa-CHST15_0003 and hsa-TNFRSF21_0001, two circRNAs upregulated in VU, hampered keratinocyte migration while promoting proliferation through modulating gene networks underpinning these cellular processes. Conclusion: By integrating circRNA, mRNA, and miRNA expression profiles in a unique collection of clinical samples, we identify the circRNAs that are relevant to human wound healing physiology and pathology. This study paves the way to decipher the functional significance of circRNAs in tissue repair.

scholarly journals Synthesis, characterization, and in silico analysis against SARS CoV-2 of novel benzimidazolium salts

2021 ◽  
Vol 32 (2) ◽  
pp. 137-144
Author(s):  
Elvan Üstün ◽  
Neslihan Şahin
Keyword(s):  
In Silico ◽  
Healing Process ◽  
In Silico Analysis ◽  
Viral Agent ◽  
Docking Simulations ◽  
Main Protease ◽  
Koopmans Theorem ◽  
Benzimidazolium Salts ◽  
Treatment Procedures ◽  
Silico Analysis

Abstract In acute conditions, vaccines are very important, although they provide antibodies for fighting against COVID-19 for a certain period. It is necessary to produce an anti-viral agent for a usual healing process against SARS CoV-2 which is responsible the pandemic we are living in. Many drugs with benzimidazole main scaffold are still used in a wide variety of treatment procedures. In this case, substituted benzimidazole structures could be good candidates for fighting against COVID-19. Theoretical calculation methods could be a key tool for overcome the difficulties of individual analyzing of each new structure. In this study, new benzimidazole structures were synthesized and characterized for in silico evaluation as anti-viral agent. The molecules were optimized and analyzed for reactivity with Koopmans Theorem. Also, molecular docking simulations were performed for SARS coronavirus main peptidase (PDB ID: 2GTB), COVID-19 main protease (PDB ID: 5R82), and papain-like protease of SARS CoV-2 (PDB ID: 6W9C) crystals.

In silico analysis of gene expression profiles in the olfactory mucosae of aging senescence-accelerated mice

2004 ◽  
Vol 77 (3) ◽  
pp. 430-452 ◽  
Author(s):  
Thomas V. Getchell ◽  
Xuejun Peng ◽  
C. Paul Green ◽  
Arnold J. Stromberg ◽  
Kuey-Chu Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
In Silico ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
In Silico Analysis ◽  
Senescence Accelerated Mice ◽  
Silico Analysis

scholarly journals In silico analysis suggests disruption of interactions between HAMP from hepatocytes and SLC40A1 from macrophages in hepatocellular carcinoma

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Liang Hu ◽  
Chao Wu
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
In Silico ◽  
Large Scale ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
In Silico Analysis ◽  
Hepatocyte Proliferation ◽  
Upregulated Genes ◽  
Silico Analysis

Abstract Background Identification of factors associated with proliferation in the hepatocellular carcinoma (HCC) microenvironment aids in understanding the mechanisms of disease progression and provides druggable targets. Gene expression profiles of individual cells in HCC and para-carcinoma tissues can be effectively obtained using the single-cell RNA sequencing (scRNA-Seq) technique. Here, we aimed to identify proliferative hepatocytes from HCC and para-carcinoma tissues, detect differentially expressed genes between the two types of proliferative hepatocytes, and investigate their potential roles in aberrant proliferation. Results Two respective gene signatures for proliferative cells and hepatocytes were established and used to identify proliferative hepatocytes from HCC and para-carcinoma tissues based on scRNA-Seq data. Gene expression profiles between the two types of proliferative hepatocytes were compared. Overall, 40 genes were upregulated in proliferative hepatocytes from para-carcinoma tissue, whereas no upregulated genes were detected in those from HCC tissue. Twelve of the genes, including HAMP, were specifically expressed in the liver tissue. Based on previous reports, we found that HAMP modulates cell proliferation through interaction with its receptor SLC40A1. Comprehensive analysis of cells in HCC and para-carcinoma tissues revealed that: (1) HAMP is specifically expressed in hepatocytes and significantly downregulated in malignant hepatocytes; (2) a subset of macrophages expressing SLC40A1 and genes reacting to various infections is present in para-carcinoma but not in HCC tissue. We independently validated the findings with scRNA-Seq and large-scale tissue bulk RNA-Seq/microarray analyses. Conclusion HAMP was significantly downregulated in malignant hepatocytes. In addition, a subset of macrophages expressing SLC40A1 and genes reacting to various infections was absent in HCC tissue. These findings support the involvement of HAMP-SLC40A1 signaling in aberrant hepatocyte proliferation in the HCC microenvironment. The collective data from our in silico analysis provide novel insights into the mechanisms underlying HCC progression and require further validation with wet laboratory experiments.

scholarly journals Deregulation of N6-Methyladenosine RNA Modification and Its Erasers FTO/ALKBH5 among the Main Renal Cell Tumor Subtypes

2021 ◽  
Vol 11 (10) ◽  
pp. 996
Author(s):  
Catarina Guimarães-Teixeira ◽  
Daniela Barros-Silva ◽  
João Lobo ◽  
Diana Soares-Fernandes ◽  
Vera Constâncio ◽  
...  
Keyword(s):  
In Silico ◽  
Renal Cell ◽  
Expression Profiles ◽  
In Silico Analysis ◽  
The Cancer Genome Atlas ◽  
Regulatory Proteins ◽  
Mrna Levels ◽  
Altered Expression ◽  
Tcga Dataset ◽  
Silico Analysis

(1) Background: Methylation of N6-adenosine (m6A) is the most abundant messenger RNA (mRNA) modification in eukaryotes. We assessed the expression profiles of m6A regulatory proteins in renal cell carcinoma (RCC) and their clinical relevance, namely, as potential biomarkers. (2) Methods: In silico analysis of The Cancer Genome Atlas (TCGA) dataset was use for evaluating the expression of the m6A regulatory proteins among RCC subtypes and select the most promising candidates for further validation. ALKBH5 and FTO transcript and protein expression were evaluated in a series of primary RCC (n = 120) and 40 oncocytomas selected at IPO Porto. (3) Results: In silico analysis of TCGA dataset disclosed altered expression of the major m6A demethylases among RCC subtypes, particularly FTO and ALKBH5. Furthermore, decreased FTO mRNA levels associated with poor prognosis in ccRCC and pRCC. In IPO Porto’s cohort, FTO and ALKBH5 transcript levels discriminated ccRCC from oncocytomas. Furthermore, FTO and ALKBH5 immunoexpression differed among RCC subtypes, with higher expression levels found in ccRCC comparatively to the other RCC subtypes and oncocytomas. (4) Conclusion: We conclude that altered expression of m6A RNA demethylases is common in RCC and seems to be subtype specific. Specifically, FTO and ALKBH5 might constitute new candidate biomarkers for RCC patient management, aiding in differential diagnosis of renal masses and prognostication.

A systematic review with in silico analysis on transcriptomic profile of gallbladder carcinoma

2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  
Keyword(s):  
Systematic Review ◽  
Gallbladder Carcinoma ◽  
In Silico ◽  
In Silico Analysis ◽  
Transcriptomic Profile ◽  
Silico Analysis
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