Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6079483 | PMC |
| http://dx.doi.org/10.1016/j.nmni.2018.07.002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
IBDV-SSA, a novel molecular approach for the recovery of infectious bursal disease virus whole genomes from FTA cards.
Microbiol Spectr
September 2025
United States Department of Agriculture, Agricultural Research Service (USDA-ARS), Southeast Poultry Research Laboratories, US National Poultry Research Center, Athens, Georgia, USA.
Infectious bursal disease (IBD), a highly contagious viral disease in young chickens, poses significant economic losses due to high mortality and immunosuppression. While IBD virus (IBDV) virulence is influenced by multiple genes, whole-genome sequencing (WGS) of IBDV is crucial for defining the strain pathotype and clinical profile. Flinders Technology Associates (FTA) cards are convenient for field sample collection, but their filter paper matrix can hinder nucleic acid recovery, impacting sequencing efficiency.
View Article and Find Full Text PDFInhibition of the UFD-1-NPL-4 complex triggers an aberrant immune response in .
Elife
September 2025
Department of Biological Sciences, Indian Institute of Science Education and Research, Mohali, India.
The UFD-1 (ubiquitin fusion degradation 1)-NPL-4 (nuclear protein localization homolog 4) heterodimer is involved in extracting ubiquitinated proteins from several plasma membrane locations, including the endoplasmic reticulum. This heterodimer complex helps in the degradation of ubiquitinated proteins via the proteasome with the help of the AAA+ATPase CDC-48. While the ubiquitin-proteasome system is known to have important roles in maintaining innate immune responses, the role of the UFD-1-NPL-4 complex in regulating immunity remains elusive.
View Article and Find Full Text PDFBlood capillary geometry helps to explain the link between genome size and metabolic rates.
Biol Lett
September 2025
Department of Science, Roma Tre University, Rome, Italy.
In the past decades, several authors have investigated the possibility that genome size is correlated with metabolic rates, obtaining conflicting results. The main biological explanation among the supporters of this correlation was related to the nucleotypic effect of the genome size, which, determining the cellular volume and hence the surface area-to-volume ratio, influences cellular metabolism. In the present study, I tested a different hypothesis: genome size, influencing red blood cell (RBC) volume, is correlated with capillary density and diameter.
View Article and Find Full Text PDFIGL::CCND1 detected by optical genome mapping revises diagnosis of a B-cell lymphoma.
Am J Clin Pathol
September 2025
Laboratory for Clinical Genomics and Advanced Technology (CGAT)-Department of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, Lebanon, NH, United States.
Objective: Differentiating between the repertoire of immunoglobulin rearrangements is important in guiding diagnoses and management of B-cell lymphoma processes. A subset of these disease entities, such as chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL), can show distinct genomic profiles with a shared cell of origin. In this report, we describe a rare case in which differentiating between the immunoglobulin family of rearrangements (IGH, IGK, IGL) with optical genome mapping (OGM) helped revise the clinical suspicion of CLL.
View Article and Find Full Text PDFExploration of Comprehensive Structural and Functional Potential of Recombinant Proteins Using Cutting-Edge Bioinformatics Tools.
Appl Biochem Biotechnol
September 2025
School of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers.
View Article and Find Full Text PDF