Publications by authors named "Jeerapat Doungchawee"

Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) has been used to generate spatial maps of lipids, metabolites, peptides, proteins, and glycans in tissues; however, its use for mapping extracellular matrix (ECM) protein distributions is underexplored. ECM proteins play a major role in various pathological conditions, and changes in their spatial distributions affect the function and morphology of cells within tissues. ECM protein detection is challenging because they are large, insoluble, and undergo various post-translational modifications, such as glycosylation.

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Nanomaterials have been employed in many biomedical applications, and their distributions in biological systems can provide an understanding of their behavior . Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) can be used to determine the distributions of metal-based NMs in biological systems. However, LA-ICP-MS has not commonly been used to quantitatively measure the cell-specific or sub-organ distributions of nanomaterials in tissues.

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Multidrug resistance (MDR) in bacteria is a critical global health challenge that is exacerbated by the ability of bacteria to form biofilms. We report a combination therapy for biofilm infections that integrates silver nanoclusters (AgNCs) into polymeric biodegradable nanoemulsions (BNEs) incorporating eugenol. These Ag-BNEs demonstrated synergistic antimicrobial activity between the AgNCs and the BNEs.

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Bioorthogonal catalysis via transition metal catalysts (TMCs) enables the generation of therapeutics locally through chemical reactions not accessible by biological systems. This localization can enhance the efficacy of anticancer treatment while minimizing off-target effects. The encapsulation of TMCs into nanomaterials generates "nanozymes" to activate imaging and therapeutic agents.

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Laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) imaging and matrix assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) are complementary methods that measure distributions of elements and biomolecules in tissue sections. Quantitative correlations of the information provided by these two imaging modalities requires that the datasets be registered in the same coordinate system, allowing for pixel-by-pixel comparisons. We describe here a computational workflow written in Python that accomplishes this registration, even for adjacent tissue sections, with accuracies within ±50 μm.

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Bioassay-guided fractionation was conducted on dichloromethane extract from the rhizomes of Globba schomburgkii Hook.f., which have previously been reported as the part with the highest antibacterial activity.

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Lung cancer, one of the most commonly found carcinoma type, has the highest mortality rate in cancer patients worldwide. Therapeutic interventions targeting to lung cancer become remaining the world significant challenge. Recently, the α7-nicotinic acetylcholine receptor (α7-nAChR) was reported to play an important role in the mechanism underlying lung cancer progression, being intriguing drug target for lung cancer therapy.

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Globba schomburgkii Hook.f. is an ornamental plant that has recently found increasing demand as cut flowers, hence generating a significant number of by-products from different parts of the plant.

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