Phasing, the process of determining which alleles at different loci on homologous chromosomes belong together on the same chromosome, is crucial in the diagnosis and management of autosomal recessive diseases. Advances in long-read sequencing technologies have significantly enhanced our ability to accurately determine haplotypes. This review discusses the application of low-coverage long-read sequencing, nanopore Cas9-guided long-read sequencing, and adaptive sampling in phasing, highlighting their utility in complex clinical scenarios. Through clinical vignettes, we explore the importance of phasing in gene therapy design for recessive dystrophic epidermolysis bullosa and the role of revertant mosaicism in therapeutic epidermal autografts. Despite its promise, phasing with long-read sequencing faces challenges, including low efficiency in enriching target regions and the inherent error rate of nanopore sequencing. Future developments in long-read sequencing technologies will be critical in overcoming these limitations and expanding the applicability of phasing across various clinical settings.
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http://dx.doi.org/10.1111/1346-8138.17597 | DOI Listing |
Annu Rev Food Sci Technol
January 2025
1Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA; email:
Foodborne illnesses are a significant global public health challenge, with an estimated 600 million cases annually. Conventional food microbiology methods tend to be laborious and time consuming, pose difficulties in real-time utilization, and can display subpar accuracy or typing capabilities. With the recent advancements in third-generation sequencing and microbial omics, nanopore sequencing technology and its long-read sequencing capabilities have emerged as a promising platform.
View Article and Find Full Text PDFVariant calling using long-read RNA sequencing (lrRNA-seq) can be applied to diverse tasks, such as capturing full-length isoforms and gene expression profiling. It poses challenges, however, due to higher error rates than DNA data, the complexities of transcript diversity, RNA editing events, etc. In this paper, we propose Clair3-RNA, the first deep learning-based variant caller tailored for lrRNA-seq data.
View Article and Find Full Text PDFGene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variant (SVs). Current clinical workflows to detect such alterations rely on a multimodal approach, which often increases analysis time and overall cost of testing. In this study, we used long-read sequencing (lrSeq) as a proof-of-concept to determine whether clinically relevant (cr) SVs could be detected within a small (n = 17) pediatric leukemia cohort.
View Article and Find Full Text PDFMol Biol Evol
January 2025
Department of Molecular Biology, Max Planck Institute for Biology Tübingen, 72076 Tübingen, Germany.
Plant cells have two major organelles with their own genomes: chloroplasts and mitochondria. While chloroplast genomes tend to be structurally conserved, the mitochondrial genomes of plants, which are much larger than those of animals, are characterized by complex structural variation. We introduce TIPPo, a user-friendly, reference-free assembly tool that uses PacBio high-fidelity long-read data and that does not rely on genomes from related species or nuclear genome information for the assembly of organellar genomes.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding 071000, China; Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Ministry of Education of China-Hebei Province Joint Innovation Center for Efficient Green Vegetable Industry, College of Horticulture, Hebei Agricultural University, Baoding 071000, China; Division of Plant Sciences, Research School of Biology, Australian National University, Canberra, ACT 2601, Australia. Electronic address:
Fusarium oxysporum f. sp. lycopersici (Fol), the causal agent of tomato wilt disease, is a soil-borne, vascular-colonizing fungal pathogen that severely impacts tomato production in most growing regions worldwide.
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