Chulalongkorn University 4 articles published in JoVE Bioengineering Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model Veerayuth Kittichai1, Morakot Kaewthamasorn2, Suchansa Thanee2, Thanyathep Sasisaowapak3, Kaung Myat Naing3, Rangsan Jomtarak4, Teerawat Tongloy3, Santhad Chuwongin3, Siridech Boonsang5 1Faculty of Medicine, King Mongkut’s Institute of Technology Ladkrabang, 2Veterinary Parasitology Research Unit, Faculty of Veterinary Science, Chulalongkorn University, 3College of Advanced Manufacturing Innovation, King Mongkut’s Institute of Technology Ladkrabang, 4Faculty of Science and Technology, Suan Dusit University, 5Department of Electrical Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang Worldwide medical blood parasites were automatically screened using simple steps on a low-code AI platform. The prospective diagnosis of blood films was improved by using an object detection and classification method in a hybrid deep learning model. The collaboration of active monitoring and well-trained models helps to identify hotspots of trypanosome transmission. Bioengineering In vitro Induction of Human Dental Pulp Stem Cells Toward Pancreatic Lineages Suryo Kuncorojakti*1,2, Watchareewan Rodprasert*1, Quynh Dang Le1,5, Thanaphum Osathanon3,4, Prasit Pavasant3,4, Chenphop Sawangmake1,5,6 1Veterinary Stem Cell and Bioengineering Innovation Center (VSCBIC), Veterinary Pharmacology and Stem Cell Research Laboratory, Faculty of Veterinary Science, Chulalongkorn University, 2Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Universitas Airlangga, 3Department of Anatomy, Faculty of Dentistry, Chulalongkorn University, 4Center of Excellence in Regenerative Dentistry, Faculty of Dentistry, Chulalongkorn University, 5Veterinary Stem Cell and Bioengineering Research Unit, Faculty of Veterinary Science, Chulalongkorn University, 6Department of Pharmacology, Faculty of Veterinary Science, Chulalongkorn University This protocol presents a comparison between two different induction protocols for differentiating human dental pulp stem cells (hDPSCs) toward pancreatic lineages in vitro: the integrative protocol and the non-integrative protocol. The integrative protocol generates more insulin producing cells (IPCs). Chemistry Covalent Labeling with Diethylpyrocarbonate for Studying Protein Higher-Order Structure by Mass Spectrometry Zachary J. Kirsch1, Blaise G. Arden1, Richard W. Vachet*1,2, Patanachai Limpikirati*3 1Department of Chemistry, University of Massachusetts Amherst, 2Molecular and Cellular Biology Program, University of Massachusetts Amherst, 3Department of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Chulalongkorn University The experimental procedures for performing diethylpyrocarbonate-based covalent labeling with mass spectrometric detection are described. Diethylpyrocarbonate is simply mixed with the protein or protein complex of interest, leading to the modification of solvent accessible amino acid residues. The modified residues can be identified after proteolytic digestion and liquid chromatography/mass spectrometry analysis. Biology Small-Scale Plasma Membrane Preparation for the Analysis of Candida albicans Cdr1-mGFPHis Golnoush Madani*1, Erwin Lamping*1, Hee Ji Lee1, Masakazu Niimi1,2, Alok K. Mitra3, Richard D. Cannon1 1Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, 2Department of Microbiology, Faculty of Medicine, Chulalongkorn University, 3School of Biological Sciences, University of Auckland This article presents a small-scale plasma membrane isolation protocol for the characterization of Candida albicans ABC (ATP-binding cassette) protein Cdr1, overexpressed in Saccharomyces cerevisiae. A protease-cleavable C-terminal mGFPHis double tag with a 16-residue linker between Cdr1 and the tag was designed to facilitate the purification and detergent-screening of Cdr1.