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Impaired cell cycle regulation leads to many cancers and is also approved in CRC. Therefore, cell cycle regulation is a critical therapeutic target for CRC. Furthermore, miRNAs have been discovered as regulators in a variety of cancer-related pathways.
Coptisine inhibits the malignancy of BC cells via regulating XPO1. Bioinformatics analysis was performed to predict the molecular targets of COP. Abstract This work is performed to investigate the effect of coptisine (COP) on the malignant biological behaviors of bladder carcinoma cells and its underlying mechanism.
Hsa-miR-503-5p negatively regulates CTDSPL, suggesting its potential as a target to overcome cisplatin resistance in LUAD. Hsa-miR-503-5p expression in LUAD and the target gene downstream of hsa-miR-503-5p was predicted by bioinformatics analysis.
EVO regulates ovarian cancer progression through the NEAT1-miR-152-3p-CDK19 axis, which further advances the possibility of EVO as a therapeutic drug for ovarian cancer. EVO dose-dependently attenuated cell viability, induced G2/M phase arrest, and apoptosis in ovarian cancer cells.
The study mentions the overlap in genes associated with Fatigue Dominant long COVID and ME/CFS, including those involved in circadian rhythm regulation and insulin regulation. The article mentions that TLR4 antagonists have been identified as potential candidates for repurposing long COVID treatment.
Genes related to acacetin and esophageal cancer were predicted by bioinformatics analysis. In this work, esophageal squamous carcinoma cell lines were subjected to increasing doses of acacetin, and the proliferative, migrative, invasive and apoptotic phenotypes were evaluated by a series of in vitro experiments.
Moreover, bioinformatics analysis has suggested that hsa_circRNA_103820 possesses potential peptide-coding ability. IGF2BP3 negatively regulated hsa_circRNA_103820 expression and interacted with it. Hsa_circRNA_103820 is implicated in the pathogenesis of multiple cancers, including lung cancer (LC).
Prof Rory Johnson is an Associate Professor at University College Dublin, where his research focusses on uncovering the roles of long noncoding RNAs (lncRNAs) in human health and disease using an interdisciplinary combination of bioinformatic and experimental methods.
A6 play anticancer role by regulating Best1 and HIST1H2BJ. Moreover, bioinformatic analysis and cell viability test showed A6 plays anticancer role by regulating Best1 and HIST1H2BJ. A6 significantly disrupted the amino acid metabolism, inhibited migration and invasion and induced apoptosis of MCF-7.
Then, Bioinformatics was applied to sort out the candidate interacting with Stachydrine as well as its expression and downstream target in BC. Abstract Considering the therapeutic efficacy of Stachydrine on breast cancer (BC), this study aims to decipher the relevant mechanism.
LINC00460 knockdown contributed to DDP sensitivity of cervical cancer by regulating TGFBI, providing a novel mechanism underlying the acquisition of DDP sensitivity. In present study, LINC00460 was screened out through bioinformatics analysis. However, its effect on DDP sensitivity in cervical cancer remains poorly understood.
The application of NGS has given researchers deep insights into genetic variation, gene expression, epigenetic modifications, alternative splicing, non-coding RNA regulation, microbial diversity, and various biological processes and diseases. In addition, NGS facilitates transcriptomics , epigenomics, metagenomics, and other omics studies.
This article concludes our mini-issue. One way to detect toxin-coding genes is to store the genomes of regulated pathogens and any genes that encode regulated toxins in a new database. Also, such screening must take into account that many regulated toxins have beneficial applications. Thanks for reading! For now, the U.S.
Differentially expressed genes (DEGs) involved in luteolin and quercetin action that regulate adipogenic differentiation were identified using RNA sequencing (RNA-seq). Bioinformatic analyses were performed to identify potential target genes and pathways regulated by luteolin/quercetin during adipogenesis.
The journey from distrust to collaboration among industry, academia and regulators will expedite integration, minimise clinical failures and enhance economic sustainability. This article, along with other insightful analyses, will be featured in our upcoming report, Beyond the Lab – Artificial Intelligence, launching on 21st March 2025.
Read Deep learning of genomic contexts predicts protein co-regulation and function. BMC Bioinformatics. Read There’s a news article that breaks down this work. Read RIP-PEN-seq identifies a class of kink-turn RNAs as splicing regulators. Read ICOR: improving codon optimization with recurrent neural networks.
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