Amphun Chaiboonchoe
A5055227566- Bioinformatics and Genomic Networks
- Algal biology and biofuel production
- Asthma and respiratory diseases
- Microbial Metabolic Engineering and Bioproduction
- Cancer Immunotherapy and Biomarkers
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Colorectal Cancer Treatments and Studies
- Saffron Plant Research Studies
- Gene expression and cancer classification
- IL-33, ST2, and ILC Pathways
- Inhalation and Respiratory Drug Delivery
- Cancer Genomics and Diagnostics
- Metabolomics and Mass Spectrometry Studies
- Gene Regulatory Network Analysis
- Flavonoids in Medical Research
- Photosynthetic Processes and Mechanisms
- Microbial Community Ecology and Physiology
- Eosinophilic Esophagitis
- Machine Learning in Bioinformatics
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Drug Transport and Resistance Mechanisms
- Biocrusts and Microbial Ecology
- Genetic factors in colorectal cancer
- Respiratory and Cough-Related Research
- Molecular Biology Techniques and Applications
Mahidol University
2021-2025
Siriraj Hospital
2021-2025
New York University Abu Dhabi
2015-2022
New York University
2014-2021
European Institute for Systems Biology and Medicine
2013-2018
Centre National de la Recherche Scientifique
2013-2018
Université Claude Bernard Lyon 1
2012-2018
United Arab Emirates University
2016
Lincoln University
2014
Institute for Systems Biology
2013
BackgroundAlthough several studies link high levels of IL-6 and soluble receptor (sIL-6R) to asthma severity decreased lung function, the role trans-signaling (IL-6TS) in asthmatic patients is unclear.ObjectiveWe sought explore association between epithelial IL-6TS pathway activation molecular clinical phenotypes patients.MethodsAn gene signature obtained from air-liquid interface cultures human bronchial cells stimulated with sIL-6R was used stratify transcriptomic data (Unbiased Biomarkers...
Poor prognoses remain the most challenging aspect of hepatocellular carcinoma (HCC) therapy. Consequently, alternative therapeutics are essential to control HCC. This study investigated anticancer effects safranal against HCC using in vitro, silico, and network analyses. Cell cycle immunoblot analyses key regulators cell cycle, DNA damage repair apoptosis demonstrated unique safranal-mediated arrest at G2/M phase 6 12 h, S-phase 24 a pronounced effect on machinery. Safranal also showed...
The spice saffron (Crocus sativus) has anticancer activity in several human tissues, but the molecular mechanisms underlying its potential therapeutic effects are poorly understood. We investigated impact of safranal, a small molecule secondary metabolite from saffron, on HCC cell line HepG2 using untargeted metabolomics (HPLC–MS) and transcriptomics (RNAseq). Increases glutathione disulfide other biomarkers for oxidative damage contrasted with lower levels antioxidants biliverdin IX...
The angiogenesis inhibitor, sorafenib, remains the only available therapy of hepatocellular carcinoma (HCC). Only recently patents VEGF receptors-3 inhibitors are developed. Thus, a novel approach against HCC is essential for better therapeutic outcome.The aims this study were to examine chemopreventive action saffron's main biomolecule, crocin, chemically-induced liver cancer in rats, and explore mechanisms by which crocin employs its anti-tumor effects.We investigated anti-cancer effect on...
Rationale: New approaches are needed to guide personalized treatment of asthma.Objectives: To test if urinary eicosanoid metabolites can direct asthma phenotyping.Methods: Urinary prostaglandins (PGs), cysteinyl leukotrienes (CysLTs), and isoprostanes were quantified in the U-BIOPRED (Unbiased Biomarkers for Prediction Respiratory Diseases Outcomes) study including 86 adults with mild-to-moderate (MMA), 411 severe (SA), 100 healthy control participants. Validation was performed internally...
Colorectal cancers (CRC) with KRAS mutations (KRASmut) are frequently included in consensus molecular subtype 3 (CMS3) profound metabolic deregulation. We explored the transcriptomic impact of KRASmut, focusing on tumor microenvironment (TME) and pathways beyond The status KRASmut patients CRC was investigated overall survival (OS) compared wild-type (KRASwt). Next, we identified CMS, further differentially expressed genes (DEG) distinctive pathways. Lastly, used spatially resolved gene...
Abstract Changes in the environment, such as those caused by climate change, can exert stress on plant growth, diversity and ultimately global food security. Thus, focused efforts to fully understand response are urgently needed order develop strategies cope with effects of change. Because Physcomitrella patens holds a key evolutionary position bridging gap between green algae higher plants because it exhibits well-developed tolerance, is an excellent model for exploration. Here, we have...
Spectral conversion of light enhances algal photosynthesis and enables technologies for sustainable energy food production.
Metabolic modeling provides the means to define metabolic processes at a systems level; however, genome-scale models often remain incomplete in their description of networks and may include reactions that are experimentally unverified. This shortcoming is exacerbated reconstructed newly isolated algal species, as there be little no biochemical evidence available for metabolism such isolates. The phenotype microarray (PM) technology (Biolog, Hayward, CA, USA) an efficient, high-throughput...
Multilevel data integration is becoming a major area of research in systems biology. Within this area, multi-'omics datasets on complex diseases are more readily available and there need to set standards good practices for integrated analysis biological, clinical environmental data. We present framework plan generate single signatures disease states. The divided into four steps: dataset subsetting, feature filtering, 'omics-based clustering biomarker identification. illustrate the usefulness...
The activities of microalgae support nutrient cycling that helps to sustain aquatic and terrestrial ecosystems. Most microalgal species, especially those from the subtropics, are genomically uncharacterized. Here we report isolation genomic characterization 22 species subtropical coastal regions belonging multiple clades three temperate areas. Halotolerant strains including Halamphora, Dunaliella, Nannochloris, Chloroidium comprised majority these isolates. subtropical-based contained arrays...
Application of machine learning (ML) on cancer-specific pharmacogenomic datasets shows immense promise for identifying predictive response biomarkers to enable personalized treatment. We introduce CAN-Scan, a precision oncology platform, which applies ML next-generation generated from freeze-viable biobank patient-derived primary cell lines (PDCs). These PDCs are screened against 84 Food and Drug Administration (FDA)-approved drugs at clinically relevant doses (Cmax), focusing colorectal...