-
Evaluating Noise Reduction Methods for Raman Spectroscopy in Transmission and Reflection Configurations
- Back
Metadata
Document Title
Evaluating Noise Reduction Methods for Raman Spectroscopy in Transmission and Reflection Configurations
Author
Sassuvun W., Buranasiri P., Wicharn S., Puttharugsa C., Limnonthakul P., Limwichean S., Plaipichit S.
Affiliations
Department of Oral Biology, Faculty of Dentistry, Mahidol University, Bangkok, 10400, Thailand; Department of Hematology, Faculty of Medical Technology, Rangsit University, Muang Pathumthani12000, Thailand; Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Mahidol University, Bangkok, 10400, Thailand; Laboratory of Pharmacology, Chulabhorn Research Institute, Bangkok, 10210, Thailand; Center of Excellence on Environmental Health and Toxicology (EHT), Office of the Permanent Secretary (OPS), Ministry of Higher Education, Science, Research and Innovation (MHESI), Bangkok, 10400, Thailand; Functional Proteomics Technology Laboratory, National Center for Genetic Engineering and Biotechnology, Khlong Luang, Pathumthani12120, Thailand
Type
Article
Source Title
Biomedical Reports
ISSN
20499434
Year
2024
Volume
20
Issue
4
Open Access
All Open Access, Gold
Publisher
Spandidos Publications
DOI
10.3892/br.2024.1752
Abstract
Ameloblastoma (AM) is a prominent benign odontogenic tumor characterized by aggressiveness, likely originating from tooth-generating tissue or the dental follicle (DF). However, proteomic distinctions between AM and DF remain unclear. In the present study, the aim was to identify the distinction between AM and DF in terms of their proteome and to determine the associated hub genes. Shotgun proteomics was used to compare the proteomes of seven fresh-frozen AM tissues and five DF tissues. Differentially expressed proteins (DEPs) were quantified and subsequently analyzed through Gene Ontology-based functional analysis, protein-protein interaction (PPI) analysis and hub gene identification. Among 7,550 DEPs, 520 and 216 were exclusive to AM and DF, respectively. Significant biological pathways included histone H2A monoubiquitination and actin filament-based movement in AM, as well as pro-B cell differentiation in DF. According to PPI analysis, the top-ranked upregulated hub genes were ubiquitin C (UBC), breast cancer gene 1 (BRCA1), lymphocyte cell-specific protein-tyrosine kinase (LCK), Janus kinase 1 and ATR serine/threonine kinase, whereas the top-ranked downregulated hub genes were UBC, protein kinase, DNA-activated, catalytic subunit (PRKDC), V-Myc avian myelocytomatosis viral oncogene homolog (MYC), tumor protein P53 and P21 (RAC1) activated kinase 1. When combining upregulated and downregulated genes, UBC exhibited the highest degree and betweenness values, followed by MYC, BRCA1, PRKDC, embryonic lethal, abnormal vision, Drosophila, homolog-like 1, myosin heavy chain 9, amyloid beta precursor protein, telomeric repeat binding factor 2, LCK and filamin A. In summary, these findings contributed to the knowledge on AM protein profiles, potentially aiding future research regarding AM etiopathogenesis and leading to AM prevention and treatment. ? 2024 Sanguansin et al.
License
CC BY-NC-ND
Rights
Authors
Publication Source
WoS