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Novel anoikis-related diagnostic biomarkers for aortic dissection based on machine learning.
Sci Rep
December 2024
Department of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, China.
Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is characterized by acute onset and poor prognosis, while the pathogenesis of AD is still unclear and may affect or even delay the diagnosis of AD. Anchorage-dependent cell death (Anoikis) is a special mode of cell death, which is programmed cell death caused by normal cells after detachment from extracellular matrix (ECM) and has been widely studied in the field of oncology in recent years. In this study, we applied bioinformatics analysis, according to the results of research analysis and Gene Ontology (GO), as well as Kyoto Encyclopedia of Genes and Genomes (KEGG), finally found 3 anoikis-related genes (ARGs) based on machine learning.
View Article and Find Full Text PDFGenome-wide analysis of alternative splicing differences in hepatic ischemia reperfusion injury.
Sci Rep
December 2024
Department of Minimally Invasive Hepatic Surgery, Key Laboratory of Hepatosplenic Surgery, the First Affiliated Hospital of Harbin Medical University, Ministry of Education, Harbin, Heilongjiang, China.
Alternative splicing (AS) contributes to transcript and protein diversity, affecting their structure and function. However, the specific transcriptional regulatory mechanisms underlying AS in the context of hepatic ischemia reperfusion (IR) injury in mice have not been extensively characterized. In this study, we investigated differentially alternatively spliced (DAS) genes and differentially expressed transcripts (DETs) in a mouse model of hepatic IR injury using the high throughput RNA sequencing (RNA-seq) analysis and replicate multivariate analysis of transcript splicing (rMATS) analysis.
View Article and Find Full Text PDFMolecular and biological characterization of transforming growth factor-β homolog derived from Trichinella spiralis.
Sci Rep
December 2024
Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, 10400, Thailand.
The cytokine homologs, particularly transforming growth factor (TGF)-β, is a crucial immunomodulatory molecule and involved in growth and developmental processes in several helminths. In this study, the basic properties and functions of T. spiralis TGF-β homolog 2 (TsTGH2) were characterized using bioinformatics and molecular biology approaches.
View Article and Find Full Text PDFIdentification of RN7SK LncRNA as a novel biomarker in Alzheimer's disease using bioinformatics and expression analysis.
Sci Rep
December 2024
Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Alzheimer's disease (AD) is a degenerative illness that accounts for the common type of dementia among adults over the age of 65. Despite extensive studies on the pathogenesis of the disease, early diagnosis of AD is still debatable. In this research, we performed bioinformatics approaches on the AD-related E-MTAB 6094 dataset to uncover new potential biomarkers for AD diagnosis.
View Article and Find Full Text PDFMicrobial diversity of hot springs of the Kuril Islands.
BMC Microbiol
December 2024
Winogradsky Institute of Microbiology Federal Research Center Fundamentals of Biotechnology Russian Academy of Sciences, 60 let Oktyabrya Prospect, 7 Build.2, Moscow, Russia.
The Kuril Islands are located in the Far-East of Russia and enriched with shallow and terrestrial hot springs. Prokaryotic diversity of Kuril geothermal environments has been studied fragmentarily and mainly by culture-dependent methods. We performed the first large-scale investigation of microbial communities, inhabited more than 30 terrestrial hot springs of Kunashir and Iturup Islands, analyzed by 16S rRNA gene fragment amplicon sequencing, together with chemical analysis of thermal waters and sediments.
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