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TMEM106B is a risk modifier for a growing list of age-associated dementias including Alzheimer’s and frontotemporal dementia, yet its function remains elusive. Two key questions that emerge from past work are whether the conservative T185S coding variant found in the minor haplotype contributes to protection, and whether the presence of TMEM106B is helpful or harmful in the context of disease. Here we address both issues while extending the testbed for study of TMEM106B from models of TDP to tauopathy. We show that TMEM106B deletion accelerates cognitive decline, hindlimb paralysis, neuropathology, and neurodegeneration. TMEM106B deletion also increases transcriptional overlap with human AD, making it a better model of disease than tau alone. In contrast, the coding variant protects against tau-associated cognitive decline, neurodegeneration, and paralysis without affecting tau pathology. Our findings show that the coding variant contributes to neuroprotection and suggest that TMEM106B is a critical safeguard against tau aggregation.
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http://dx.doi.org/10.1101/2023.03.23.533978 | DOI Listing |
JBMR Plus
October 2025
Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia.
Genome-wide association studies (GWAS) relevant to osteoporosis have identified hundreds of loci; however, understanding how these variants influence the phenotype is complicated because most reside in non-coding DNA sequence that serves as transcriptional enhancers and repressors. To advance knowledge on these regulatory elements in osteoclasts (OCs), we performed Micro-C analysis, which informs on the genome topology of these cells and integrated the results with transcriptome and GWAS data to further define loci linked to BMD. Using blood cells isolated from 4 healthy participants aged 31-61 yr, we cultured OC in vitro and generated a Micro-C chromatin conformation capture dataset.
View Article and Find Full Text PDFNAR Genom Bioinform
September 2025
Centre for Integrative Biology and Systems Medicine (IBSE), Wadhwani School of Data Science and AI, Indian Institute of Technology (IIT) Madras, Chennai 600036, India.
Genome graphs provide a powerful reference structure for representing genetic diversity. Their structure emphasizes the polymorphic regions in a collection of genomes, enabling network-based comparisons of population-level variation. However, current tools are limited in their ability to quantify and compare structural features across large genome graphs.
View Article and Find Full Text PDFCureus
September 2025
Department of Paediatric Histopathology, Alder Hey Children's Hospital, Liverpool, GBR.
Congenital heart disease (CHD) is the most common congenital anomaly. While surgical and interventional advancements have improved survival, the management of associated complications and comorbidities remains complex and would benefit from a personalised approach that more accurately predicts individualised risks and prognoses. Recently, next-generation sequencing has uncovered diverse genetic factors, including epigenetic modifications, somatic mosaicism and regulatory non-coding variants.
View Article and Find Full Text PDFPsychophysiology
September 2025
Department of Human Medicine, Institute for Systems Medicine, MSH Medical School Hamburg, Hamburg, Germany.
Obsessive-compulsive disorder (OCD) has been associated with altered performance monitoring, reflected in enhanced amplitudes of the error-related negativity in the event-related potential. However, this is not specific to OCD, as overactive error processing is also evident in anxiety. Although similar neural mechanisms have been proposed for error and feedback processing, it remains unclear whether the processing of errors as indexed by external feedback, reflected in the feedback-related negativity (FRN), is altered in OCD.
View Article and Find Full Text PDFMol Plant Pathol
September 2025
State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou, China.
Superinfection exclusion (SIE) is a finely tuned virus-virus interaction mechanism closely linked to the viral infection cycle. However, the mechanistic basis of SIE remains incompletely understood in plant viruses, particularly among negative-sense, single-stranded RNA viruses. In this study, we first describe the development of an efficient reverse genetics system for the plant nucleorhabdovirus Physostegia chlorotic mottle virus (PhCMoV) by codon optimisation of the large polymerase coding sequence.
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