Advances in gene chip technique in Barrett's metaplasia and adenocarcinoma

Wang, Xing Wei; Gao, Heng; Fang, Dian Chun

doi:10.1111/j.1751-2980.2008.00324.x

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…The diagnosis of BE in most study required the intestinal metaplasia in the biopsy speciman. This definition is well accepted 20 . In this study we defined patients with specialized intestinal metaplasia in the tubular esophagus as having BE.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Prevalence and risk factors of Barrett's esophagus in patients undergoing endoscopy for upper gastrointestinal symptoms

Xiong

Cui

Wang

et al. 2010

J of Digest Diseases

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Section: Discussionmentioning

confidence: 99%

“…This definition is well accepted. 20 In this study we defined patients with specialized intestinal metaplasia in the tubular esophagus as having BE. The histological evaluation was performed by pathologists with a special interest in BE.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and risk factors of Barrett's esophagus in patients undergoing endoscopy for upper gastrointestinal symptoms

Xiong

Cui

Wang

et al. 2010

J of Digest Diseases

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“…Through the analysis of the parallel expression profile chip, the normal human cells or abnormal cells compared with pathological changes to detect differentially expressed genes in different specimens, so as to identify drug targets. It greatly improves the traditional experimental method of observing the expression of single or multiple genes, so as to speed up the identification of differentially expressed genes and the construction of differential expression profile [ 112 ]. It can also directly analyze the changes of gene expression profiles of different tissues and organs before and after medication, construct gene expression profiles, and screen new drugs or lead compounds efficiently by analyzing gene expression profiles, pathology and physiology [ 113 , 114 ].…”

Section: Screening Methods For S Protein-ace2 Blockersmentioning

confidence: 99%

Screening S protein – ACE2 blockers from natural products: Strategies and advances in the discovery of potential inhibitors of COVID-19

Liu

et al. 2021

European Journal of Medicinal Chemistry

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The Coronavirus disease, 2019 (COVID-19) is caused by severe acute respiratory syndrome Coronavirus 2 (SARS‐CoV‐2), which poses a major threat to human life and health. Given its continued development, limiting the spread of COVID-19 in the population remains a challenging task. Currently, multiple therapies are being tried around the world to deal with SARS-CoV-2 infection, and a variety of studies have shown that natural products have a significant effect on COVID-19 patients. The combination of SARS-CoV-2 S protein with Angiotensin converting enzyme II(ACE2) of host cell to promote membrane fusion is an initial critical step for SARS-CoV-2 infection. Therefore, screening natural products that inhibit the binding of SARS-CoV-2 S protein and ACE2 also provides a feasible strategy for the treatment of COVID-19. Establishment of high throughput screening model is an important basis and key technology for screening S protein-ACE2 blockers. Based on this, the molecular structures of SARS-CoV-2 and ACE2 and their processes in the life cycle of SARS-CoV-2 and host cell infection were firstly reviewed in this paper, with emphasis on the methods and techniques of screening S protein-ACE2 blockers, including Virtual Screening (VS), Surface Plasmon Resonance (SPR), Biochromatography, Biotin-avidin with Enzyme-linked Immunosorbent assay and Gene Chip Technology. Furthermore, the technical principle, advantages and disadvantages and application scope were further elaborated. Combined with the application of the above screening technologies in S protein-ACE2 blockers, a variety of natural products, such as flavonoids, terpenoids, phenols, alkaloids, were summarized, which could be used as S protein-ACE2 blockers, in order to provide ideas for the efficient discovery of S protein-ACE2 blockers from natural sources and contribute to the development of broad-spectrum anti coronavirus drugs.

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“…Gene chip assay was already applied in gene expression [8]. However, only changes in one or more amount of genes could be analyzed simultaneously with this method.…”

Section: Introductionmentioning

confidence: 99%

Genes co-related with poor prognosis of patients with lung cancer via bioinformatical approaches

Shi¹,

Han²,

Wang³

et al. 2020

Preprint

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Lung cancer is one of the most common malignant tumors with high mortality worldwide. Recently, researchers reported that molecular markers on lung cancer could be used as diagnostic and prognostic targets. However, these molecules were not ideal in specificity and high selectivity.Therefore, exploring more reliable biomarkers to improve the prognosis and clarify the underlying mechanism is urgently needed both for clinic and basic research. This study aimed to identify significant genes with poor prediction for lung cancer and their underlying mechanisms. Firstly, we used gene expression datasets available from GEO (Gene Expression Omnibus) database. There were 109 lung cancer samples and 27 normal samples in the selected datasets. First, DEGs (Different Expressed Gene set) of lung cancer and normal lung samples were screen out with GEO2R tool, and we displayed them by Venn diagram software and Heatmap. Secondly, we used DAVID (Database for Annotation, Visualization and Integrated Discovery) to analyze KEGG (Kyoto Encyclopedia of Gene and Genome) pathway and GO (Gene Ontology). Third, PPI (Protein-Protein Interaction) of these DEGs was conducted by Cytoscape with STRING (Search Tool for the Retrieval of Interacting Genes). Our results showed that the expression trends of 21 up-regulated genes and 116 down-regulated were similar in selected three datasets. Analyzed by MCODE (Molecular Complex Detection) plug-in, 11 up-regulated and 16 down-regulated genes were selected. To further verify gene expression differences, GEPIA (Gene Expression Profiling Interactive Analysis) was implemented and we found 26 of 27 genes were found differently expressed in lung cancer compared with normal lung tissues. Furthermore, Kaplan-Meier analysis was used and we found 23 of 26 genes for overall survival indicated much less survival time. At last, three genes, CDH5, CLDN5, PECAM1, were found to be significantly decreased in lung cancer tissue proved through re-analysis of DAVID, which mainly co-related with leukocyte transendothelial migration. In conclusion, three significant down-regulated deferentially expressed genes with poor prognosis on lung cancer were identified basing on integrated bioinformatical methods.These down-expressed genes may be as a potential prognosis targets for patients with lung cancer.

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Advances in gene chip technique in Barrett's metaplasia and adenocarcinoma

Cited by 7 publications

References 17 publications

Prevalence and risk factors of Barrett's esophagus in patients undergoing endoscopy for upper gastrointestinal symptoms

Prevalence and risk factors of Barrett's esophagus in patients undergoing endoscopy for upper gastrointestinal symptoms

Screening S protein – ACE2 blockers from natural products: Strategies and advances in the discovery of potential inhibitors of COVID-19

Genes co-related with poor prognosis of patients with lung cancer via bioinformatical approaches

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