ArticleGastroenterology and hepatology from bed to bench2019
The bioinformatics aspects of gene screening of HT-29, human colon cell line treated with caffeic acid.
Article in Gastroenterology and hepatology from bed to bench, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Insight into the Biological Roles and Mechanisms of Phytochemicals in Different Types of Cancer: Targeting Cancer Therapeutics.Nutrients · 2023Review
- Evaluating of Gene Expression Alteration after Garlic Consumption, Analyzing through Bioinformatics Approach.Iranian journal of pharmaceutical research : IJPR · 2021Article
- The critical role of dysregulation of antioxidant activity and carbohydrate metabolism in celiac disease.Gastroenterology and hepatology from bed to bench · 2019Article
- Introducing tumor necrosis factor as a prominent player in celiac disease and type 1 diabetes mellitus.Gastroenterology and hepatology from bed to bench · 2019Article
- Obsessive-Compulsive Disorder Interactome Profile Analysis: A Perspective From Molecular Mechanism.Basic and clinical neuroscienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo better understand the anticancer properties of coffee, bioinformatics analysis of gene expression profile of HT-29, human colon cell line in the exposure of caffeic acid (CA) is proposed in this study.
backgroundCoffee as a popular beverage has been shown to be a potential health promoter as well as being effective on different kinds of diseases including cancer.
methodsThe differentially expressed genes (DEGs) across the comparison of groups of samples including none-treated HT-29 and HT-29 tread with CA were applied for the protein-protein interaction mapping. Cytoscape v.3.7.1 constructed a network and analyzed the topological features of the most noteworthy DEGs.
resultsThe genes of CTSZ, AFF4, DHRS2, and HMGCS1 known as active agents in cancer progression, were identified as the central DEGs in the constructed PPI network in this study. Especially, HMGCS1 is the most central gene is also linked to one of the important colon cancer altered processes, cholesterol metabolism.
conclusionLowering the risk of colon cancer could be perhaps through nominated DEGs and therefore, regulation of serum cholesterol as well as protection against cancer development.
Indexed as
Identifiers
31528309PMC6668765W2960846855What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.