Pyrosequencing is a sequencing-by-synthesis method for DNA analysis that has emerged as a platform not only for de novo sequencing applications, but also for quantitative analysis of genomic methylation, single-nucleotide polymorphisms, and allele quantification. In this unit, we describe a complete workflow from sample to result that is suitable for each of these applications. As cytosine conversion is a key element of successful methylation analysis using pyrosequencing, a support protocol for bisulfite treatment is also included.
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http://dx.doi.org/10.1002/0471142727.mb0715s104 | DOI Listing |
Int J Mol Sci
January 2025
Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia.
Among the various causes of rhomboencephalitis, infection is the most common. However, conventional microbiological methods often yield negative results, making diagnosis challenging and leading to extensive, often inconclusive, diagnostics. Advanced molecular techniques like metagenomic next-generation sequencing (mNGS) offer a powerful and efficient approach to pathogen identification.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Department of Neurology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Background: Metagenomic high-throughput sequencing (mNGS) represents a powerful tool for detecting nucleic acids from various pathogens, such as bacteria, fungi, viruses and parasites, in clinical samples. Despite its extensively employed in the pathogen diagnosis for various infectious diseases, its application in diagnosing stroke-related infection, and its potential impact on clinical decision-making, anti-infection treatment, clinical intervention, and patient prognosis remain insufficiently explored. Additionally, while mNGS offers promising potential, it facts limitations related to sensitivity, specificity, cost, and standardization, which could influence its integration into routine clinical practice.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Bioinformatics Division, WEHI, Parkville, VIC 3052, Australia.
edgeR is an R/Bioconductor software package for differential analyses of sequencing data in the form of read counts for genes or genomic features. Over the past 15 years, edgeR has been a popular choice for statistical analysis of data from sequencing technologies such as RNA-seq or ChIP-seq. edgeR pioneered the use of the negative binomial distribution to model read count data with replicates and the use of generalized linear models to analyze complex experimental designs.
View Article and Find Full Text PDFCommun Biol
January 2025
Precision Medicine and Computational Biology, Sanofi, Cambridge, MA, 02141, USA.
Single-cell RNA sequencing (scRNA-seq) provides a powerful tool for dissecting cellular complexity and heterogeneity. However, its full potential to achieve statistically reliable conclusions is often constrained by the limited number of cells profiled, particularly in studies of rare diseases, specialized tissues, and uncommon cell types. Deep learning-based generative models (GMs) designed to address data scarcity often face similar limitations due to their reliance on pre-training or fine-tuning, inadvertently perpetuating a cycle of data inadequacy.
View Article and Find Full Text PDFJ Vis Exp
January 2025
Biomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University; Beijing Key Laboratory for Therapeutic Cancer Vaccines;
Assay for Transposase-Accessible Chromatin with sequencing (ATAC-seq) is a powerful, high-throughput technique for assessing chromatin accessibility and understanding epigenomic regulation. Neutrophils, as a crucial leukocyte type in immune responses, undergo substantial chromatin architectural changes during differentiation and activation, which significantly impact the gene expression necessary for their functions. ATAC-seq has been instrumental in uncovering key transcription factors in neutrophil maturation, revealing pathogen-specific epigenomic signatures, and identifying therapeutic targets for autoimmune diseases.
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