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Novel classification system and high-risk categories of pediatric acute myeloid leukemia.
Haematologica
January 2025
Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN.
The prognosis of pediatric acute myeloid leukemia (AML) remains poor compared with pediatric acute lymphoblastic leukemia (ALL); accurate diagnosis and treatment strategies based on the genomic background are strongly needed. Recent advances in sequencing technologies have identified novel pediatric AML subtypes, including BCL11B structural variants and UBTF tandem duplications (UBTF-TD), associated with poor prognosis. In contrast, these novel subtypes do not fit into the diagnostic systems for AML of the 5th edition WHO classification or International Consensus Classifications (ICC) released in 2022.
View Article and Find Full Text PDFMulti-omic analysis on the molecular mechanisms of rapid growth in 'Deqin' alfalfa after space mutagenesis.
BMC Plant Biol
January 2025
Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China.
Background: Space-induced plant mutagenesis, driven by cosmic radiation, offers a promising approach for the selective breeding of new plant varieties. By leveraging the unique environment of outer space, we successfully induced mutagenesis in 'Deqin' alfalfa and obtained a fast-growing mutant. However, the molecular mechanisms underlying its rapid growth remain poorly unexplored.
View Article and Find Full Text PDFThe future of personalized medicine in Saudi Arabia: Opportunities and challenges.
Saudi Med J
January 2025
From the Department of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, Kingdom of Saudi Arabia.
Personalized medicine is a healthcare approach that designs treatment plans of each patient, considering genetic, environmental, and lifestyle factors. This model leverages genomic information, advanced diagnostics, and data analytics to predict disease risk, optimize prevention strategies, and provide customized treatments. In Saudi Arabia, personalized medicine is gaining momentum, driven by the country's Vision 2030 initiative, which aims to transform the healthcare sector by integrating advanced medical technologies and improving healthcare delivery.
View Article and Find Full Text PDFImmunoinformatics: A Veritable Toolbox for Livestock Omics and Veterinomics.
OMICS
January 2025
Animal Biochemistry Division, ICAR - National Dairy Research Institute, Karnal, India.
Immunoinformatics, an integrative field consisting of bioinformatics and immunology, has showcased its potential in addressing zoonotic diseases, as evidenced during the Coronavirus disease 2019 (COVID-19) pandemic. However, its application in livestock health remains largely untapped. This opinion commentary explores how immunoinformatics, combined with advancements in genomics, multi-omics integration, and genome editing technologies, can revolutionize livestock management by enhancing disease resistance, vaccine development, and productivity.
View Article and Find Full Text PDFSEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single-Cell Gene Expression.
Adv Sci (Weinh)
January 2025
State Key Laboratory of Common Mechanism Research for Major Diseases, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
The dynamics of chromatin conformation involve continuous and reversible changes within the nucleus of a cell, which participate in regulating processes such as gene expression, DNA replication, and damage repair. Here, SEE is introduced, an artificial intelligence (AI) method that utilizes autoencoder and transformer techniques to analyze chromatin dynamics using single-cell RNA sequencing data and a limited number of single-cell Hi-C maps. SEE is employed to investigate chromatin dynamics across different scales, enabling the detection of (i) rearrangements in topologically associating domains (TADs), and (ii) oscillations in chromatin interactions at gene loci.
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