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TNF α-induced protein 1 () was first identified in human umbilical vein endothelial cells and can be induced by tumor necrosis factor α (TNFα). Early studies have found that is involved in the development of many tumors and is closely associated with the neurological disorder Alzheimer's disease. However, little is known about the expression pattern of under physiological conditions and its function during embryonic development. In this study, we used zebrafish as a model to illustrate the early developmental expression pattern of and its role in early development. First, we examined the expression pattern of during early zebrafish development using quantitative real-time PCR and whole mount in situ hybridization and found that was highly expressed in early embryonic development and, subsequently, expression became localized to anterior embryonic structures. To investigate the function of during early development, we constructed a model of a stably inherited mutant using the CRISPR/Cas9 system. mutant embryos showed significant developmental delays as well as microcephaly and microphthalmia. At the same time, we found decreased expression of the neuronal marker genes , , and in mutants. Analysis of transcriptome sequencing data revealed altered expression of the embryonic development related genes , , , , , , , , , and in the mutants. These findings suggest an important role for in the early development of zebrafish.
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http://dx.doi.org/10.3390/genes14051005 | DOI Listing |
Theor Appl Genet
September 2025
Plant Breeding, Wageningen University & Research, P.O. Box 386, 6700 AJ, Wageningen, The Netherlands.
Potato bolters are caused by excision of a transposon from the StCDF1.3 allele, resulting in a somatic mutant with late maturity. Somatic mutations during vegetative propagation can lead to novel genotypes, known as sports.
View Article and Find Full Text PDFOdontology
September 2025
Department of Periodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Orthodontic-induced gingival enlargement (OIGE) affects approximately 15-30% of patients undergoing orthodontic treatment and remains largely unpredictable, often relying on subjective clinical assessments made after irreversible tissue changes have occurred. S100A4 is a well-characterized marker of activated fibroblasts involved in pathological tissue remodeling. This was a cross-sectional precision biomarker study that analyzed gingival tissue samples from three groups: healthy controls (n = 60), orthodontic patients without gingival enlargement (n = 31), and patients with clinically diagnosed OIGE (n = 61).
View Article and Find Full Text PDFEur Radiol Exp
September 2025
Center for MR-Research, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.
Background: Fetal MRI is increasingly used to investigate fetal lung pathologies, and super-resolution (SR) algorithms could be a powerful clinical tool for this assessment. Our goal was to investigate whether SR reconstructions result in an improved agreement in lung volume measurements determined by different raters, also known as inter-rater reliability.
Materials And Methods: In this single-center retrospective study, fetal lung volumes calculated from both SR reconstructions and the original images were analyzed.
Nat Aging
September 2025
Aging Biomarker Consortium (ABC), Beijing, China.
The global surge in the population of people 60 years and older, including that in China, challenges healthcare systems with rising age-related diseases. To address this demographic change, the Aging Biomarker Consortium (ABC) has launched the X-Age Project to develop a comprehensive aging evaluation system tailored to the Chinese population. Our goal is to identify robust biomarkers and construct composite aging clocks that capture biological age, defined as an individual's physiological and molecular state, across diverse Chinese cohorts.
View Article and Find Full Text PDFAnn Biomed Eng
September 2025
Department of Mechanical Engineering, Koc University, Rumeli Feneri Campus, Sarıyer, 34450, Istanbul, Turkey.
Purpose: The design and development of ventricular assist devices have heavily relied on computational tools, particularly computational fluid dynamics (CFD), since the early 2000s. However, traditional CFD-based optimization requires costly trial-and-error approaches involving multiple design cycles. This study aims to propose a more efficient VAD design and optimization framework that overcomes these limitations.
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