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Targeting the Neuro-vascular Presynaptic Signalling in STROKE: Evidence and Therapeutic Implications.
Ann Neurosci
January 2025
Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Background: Stroke is one of the leading causes of death and long-term adult disability worldwide. Stroke causes neurodegeneration and impairs synaptic function. Understanding the role of synaptic proteins and associated signalling pathways in stroke pathology could offer insights into therapeutic approaches as well as improving rehabilitation-related treatment regimes.
View Article and Find Full Text PDFThe complete chloroplast genome sequences of monotypic genus Pseudogalium, and comparative analyses with its relative genera.
BMC Genomics
January 2025
School of Life Sciences, Yunnan Normal University, Kunming, 650000, China.
Background: Pseudogalium is a new monotypic genus with two subspecies in China and one in Japan, which holds a distinctive phylogenetic position and ecological significance within the tribe Rubieae. Chloroplast genomes contain abundant information for resolving phylogenetic relationships. To investigate the phylogenetics of P.
View Article and Find Full Text PDFA comprehensive allele specific expression resource for the equine transcriptome.
BMC Genomics
January 2025
Department of Population Health and Reproduction, Davis School of Veterinary Medicine, University of California, Room 4206 Vet Med3A One Shields Ave, Davis, CA, 95616, USA.
Background: Allele-specific expression (ASE) analysis provides a nuanced view of cis-regulatory mechanisms affecting gene expression.
Results: An equine ASE analysis was performed, using integrated Iso-seq and short-read RNA sequencing data from four healthy Thoroughbreds (2 mares and 2 stallions) across 9 tissues from the Functional Annotation of Animal Genomes (FAANG) project. Allele expression was quantified by haplotypes from long-read data, with 42,900 allele expression events compared.
A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification.
Sci Data
January 2025
The Griffin Institute, Northwick Park and St Mark's Hospital, Watford Road, London, HA13UJ, UK.
Minimally invasive surgery is complex and prone to variation not routinely objectively measured. We established an association between skills and patient outcomes. The evolving application of artificial intelligence techniques could assist intraoperative analysis.
View Article and Find Full Text PDFMetaQ: fast, scalable and accurate metacell inference via single-cell quantization.
Nat Commun
January 2025
School of Computer Science, Sichuan University, Chengdu, Sichuan, China.
To overcome the computational barriers of analyzing large-scale single-cell sequencing data, we introduce MetaQ, a metacell algorithm that scales to arbitrarily large datasets with linear runtime and constant memory usage. Inspired by cellular development, MetaQ conceptualizes each metacell as a collective ancestor of biologically similar cells. By quantizing cells into a discrete codebook, where each entry represents a metacell capable of reconstructing the original cells it quantizes, MetaQ identifies homogeneous cell subsets for efficient and accurate metacell inference.
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