Real-World Evidence on the Efficacy and Tolerability of Tramadol/Dexketoprofen (TRAM/DKP) Fixed-Dose Combination for the Management of Acute Non-surgical Pain in Asian Patients: A Multicentre Retrospective Case Series.

Introduction: Multimodal analgesia is key in the effective management of acute pain. Previous clinical trials have demonstrated good results with the use of a fixed-dose combination (FDC) of tramadol 75 mg and dexketoprofen 25 mg (TRAM/DKP) in acute pain management. However, there is a dearth of real-world evidence on the efficacy and safety of this combination in the management of acute non-surgical pain, especially among Asian patients.

RNA and Protein Interactomes of an RNA-Binding Protein Tagged with FLAG Epitopes Using Combinatory Approaches of Genome Engineering and Stable Transfection.

To study the function of RNA-binding proteins (RBPs), an overexpression or knockout approach is generally used. However, as many RBPs are essential to cellular functions, the complete knockout of these proteins may be lethal to the cell. Overexpression of RBPs, on the other hand, may create an altered transcriptome and aberrant phenotypes that can mask their physiological function.

Incomplete time-series gene expression in integrative study for islet autoimmunity prediction.

Type 1 diabetes (T1D) outcome prediction plays a vital role in identifying novel risk factors, ensuring early patient care and designing cohort studies. TEDDY is a longitudinal cohort study that collects a vast amount of multi-omics and clinical data from its participants to explore the progression and markers of T1D. However, missing data in the omics profiles make the outcome prediction a difficult task.

mTOR Contributes to the Proteome Diversity through Transcriptome-Wide Alternative Splicing.

The mammalian target of rapamycin (mTOR) pathway is crucial in energy metabolism and cell proliferation. Previously, we reported transcriptome-wide 3'-untranslated region (UTR) shortening by alternative polyadenylation upon mTOR activation and its impact on the proteome. Here, we further interrogated the mTOR-activated transcriptome and found that hyperactivation of mTOR promotes transcriptome-wide exon skipping/exclusion, producing short isoform transcripts from genes.

Computational Methods to Study Human Transcript Variants in COVID-19 Infected Lung Cancer Cells.

Microbes and viruses are known to alter host transcriptomes by means of infection. In light of recent challenges posed by the COVID-19 pandemic, a deeper understanding of the disease at the transcriptome level is needed. However, research about transcriptome reprogramming by post-transcriptional regulation is very limited.

Multi-omics data integration by generative adversarial network.

Motivation: Accurate disease phenotype prediction plays an important role in the treatment of heterogeneous diseases like cancer in the era of precision medicine. With the advent of high throughput technologies, more comprehensive multi-omics data is now available that can effectively link the genotype to phenotype. However, the interactive relation of multi-omics datasets makes it particularly challenging to incorporate different biological layers to discover the coherent biological signatures and predict phenotypic outcomes.

In silico model for miRNA-mediated regulatory network in cancer.

Deregulation of gene expression is associated with the pathogenesis of numerous human diseases including cancer. Current data analyses on gene expression are mostly focused on differential gene/transcript expression in big data-driven studies. However, a poor connection to the proteome changes is a widespread problem in current data analyses.

Landfill leachate wastewater treatment to facilitate resource recovery by a coagulation-flocculation process via hydrogen bond.

Recent trend to recover value-added products from wastewater calls for more effective pre-treatment technology. Conventional landfill leachate treatment is often complex and thus causes negative environmental impacts and financial burden. In order to facilitate downstream processing of leachate wastewater for production of energy or value-added products, it is pertinent to maximize leachate treatment performance by using simple yet effective technology that removes pollutants with minimum chemical added into the wastewater that could potentially affect downstream processing.

Sustainable landfill leachate treatment: Optimize use of guar gum as natural coagulant and floc characterization.

Sustainable wastewater treatment necessitates the application of natural and green material in the approach. Thus, selecting a natural coagulant in leachate treatment is a crucial step in landfill operation to prevent secondary environmental pollution due to residual inorganic coagulant in treated effluent. Current study investigated the application of guar gum in landfill leachate treatment.

mTOR-regulated U2af1 tandem exon splicing specifies transcriptome features for translational control.

U2 auxiliary factor 1 (U2AF1) functions in 3'-splice site selection during pre-mRNA processing. Alternative usage of duplicated tandem exons in U2AF1 produces two isoforms, U2AF1a and U2AF1b, but their functional differences are unappreciated due to their homology. Through integrative approaches of genome editing, customized-transcriptome profiling and crosslinking-mediated interactome analyses, we discovered that the expression of U2AF1 isoforms is controlled by mTOR and they exhibit a distinctive molecular profile for the splice site and protein interactomes.

New Prospects for Modified Algae in Heavy Metal Adsorption.

Heavy metal pollution is one of the most pervasive environmental problems globally. Novel finely tuned algae have been proposed as a means to improve the efficacy and selectivity of heavy metal biosorption. This article reviews current research on selective algal heavy metal adsorption and critically discusses the performance of novel biosorbents.