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The evidence for a role of somatic mutations, including copy-number variants (CNVs), in neurodegeneration has increased in the last decade. However, the understanding of the types and origins of these mutations, and their exact contributions to disease onset and progression, is still in its infancy. The use of single-cell (or nuclear) whole-genome sequencing (scWGS) has emerged as a powerful tool to answer these questions. In the present chapter, we provide laboratory and bioinformatic protocols used successfully in our lab to detect megabase-scale CNVs in single cells from multiple system atrophy (MSA) human postmortem brains, using immunolabeling prior to selection of nuclei for whole-genome amplification (WGA). We also present an unpublished comparison of scWGS generated from the same control substantia nigra (SN) sample, using the latest versions of popular WGA chemistries, MDA and PicoPLEX. We have used this protocol to focus on brain cell types most relevant to synucleinopathies (dopaminergic [DA] neurons in Parkinson's disease [PD] and oligodendrocytes in MSA), but it can be applied to any tissue and/or cell type with appropriate markers.
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http://dx.doi.org/10.1007/978-1-0716-2655-9_11 | DOI Listing |
PLoS One
September 2025
People's Hospital of Ningxia Hui Autonomous Region, Ningxia Eye Hospital, Yinchuan, China.
Purpose: To investigate the variants in 18 disease-causing genes associated with nonsyndromic myopia in 83 Chinese individuals diagnosed with early-onset high myopia(eo-HM).
Methods: Variants in 18 candidate genes in 83 probands with eo-HM were distinguished by whole-exome sequencing (WES) and assessed by multistep bioinformatics analysis.
Results: Four likely pathogenic variants were detected in 4 of the 83 probands (4.
Cell Rep Methods
July 2025
Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P.R. China; Key Laboratory of Smart Farming for Agricultural Animals, Ministry of Agriculture and Rural Affairs, Beijing, P.R. China; College of Informatics, Huazhong Agricult
We introduce a cell-free DNA (cfDNA) fragmentation pattern: the fragment dispersity index (FDI), which integrates information on the distribution of cfDNA fragment ends with the variation in fragment coverage, enabling precise characterization of chromatin accessibility in specific regions. The FDI shows a strong correlation with chromatin accessibility and gene expression, and regions with high FDI are enriched in active regulatory elements. Using whole-genome cfDNA data from five datasets, we developed and validated the FDI-oncology model, which demonstrates robust performance in early cancer diagnosis, subtyping, and prognosis.
View Article and Find Full Text PDFJ Appl Microbiol
September 2025
Mahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed-to-be-University), Pillaiyarkuppam, Pondicherry - 607 402, India.
Aim: To investigate the phenotypic and genomic features of three multidrug-resistant (MDR) clinical mucoid and non-mucoid uropathogenic Escherichia coli (UPEC) strains to understand their antimicrobial resistance, biofilm formation, and virulence in urinary tract infections (UTIs).
Methods And Results: The UPEC strains A5, A10, and A15 were isolated from two UTI patients. Phenotypic assays included colony morphology, antibiotic susceptibility, motility, and biofilm formation.
Brief Bioinform
August 2025
Department of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, Xiwu Road, Xincheng District, Xi'an 710004, China.
Accurate tumor mutation burden (TMB) quantification is critical for immunotherapy stratification, yet remains challenging due to variability across sequencing platforms, tumor heterogeneity, and variant calling pipelines. Here, we introduce TMBquant, an explainable AI-powered caller designed to optimize TMB estimation through dynamic feature selection, ensemble learning, and automated strategy adaptation. Built upon the H2O AutoML framework, TMBquant integrates variant features, minimizes classification errors, and enhances both accuracy and stability across diverse datasets.
View Article and Find Full Text PDFMicrobiol Resour Announc
September 2025
Department of Bioscience and Bioengineering, Indian Institute of Technology-Roorkee, Roorkee, Uttarakhand, India.
CHRFS5, HL_CHRU_S18, S48B, HL_CHRU_S16, S19, HL_CHRU_S79, and HL_CHRU_S111 were isolated from the biofilm of catheter tip of renal failure patients. Whole genome sequencing predicted the presence of multiple antibiotic-resistant gene cassettes.
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