Ask about this productRelated genes to: DDX19B Blocking Peptide
- Gene:
- DDX19B NIH gene
- Name:
- DEAD-box helicase 19B
- Previous symbol:
- DDX19
- Synonyms:
- DBP5
- Chromosome:
- 16q22.1
- Locus Type:
- gene with protein product
- Date approved:
- 1999-12-07
- Date modifiied:
- 2016-10-05
Related products to: DDX19B Blocking Peptide
Related articles to: DDX19B Blocking Peptide
- Animal breeding has undergone profound transformations from its origins in phenotypic observation to the integration of genomic and machine learning techniques. This review paper explores the progression of livestock breeding, tracing its roots to the domestication of animals during the Neolithic Revolution. Gregor Mendel's foundational work with pea plants established key principles of Mendelian genetics, which initially focused on discrete qualitative traits. However, the advancement of quantitative genetics has shifted the focus to continuous traits, such as body weight and milk yield, which are influenced by multiple genes. QTL mapping revolutionized breeding by shifting from phenotype- to genotype-based selection, enhancing accuracy through genomic predictions like GEBV under GBLUP. The strongest QTL associations on chromosome 18 linked local GEBV with and expression. In recent years, machine learning and artificial intelligence have transformed genomic prediction into livestock breeding by efficiently handling high-dimensional data and capturing complex genetic relationships. Notably, a deployed deep learning model achieved an average correlation of up to 0.643 between actual and predicted values. This review highlights the integration of machine learning approaches in animal breeding, showcasing advancements in milk and meat production, and the improvement of disease management through multi-omics strategies. The paper underscores the shift towards innovative methods and their impact on advancing animal breeding practices, offering insights into prospects for enhancing productivity, health, and welfare in livestock. - Source: PubMed
Publication date: 2025/11/24
Panigrahi ManjitRajawat DivyaNayak Sonali SonejitaBose AnalBharia NishuSingh ShreyasiSharma AnurodhDutt Triveni - Melanoma, a highly aggressive malignancy characterized by rapid metastasis and elevated mortality rates, predominantly originates in cutaneous tissues. While surgical interventions, immunotherapy, and targeted therapies have advanced, the prognosis for advanced-stage melanoma remains dismal. Globally, melanoma incidence continues to rise, with the United States alone reporting over 100,000 new cases and 7,000 deaths annually. Despite the exponential growth of tumor data facilitated by next-generation sequencing (NGS), current analytical approaches predominantly emphasize single-gene analyses, neglecting critical insights into complex gene interaction networks. This study aims to address this gap by systematically exploring immune gene regulatory dynamics in melanoma progression. - Source: PubMed
Publication date: 2025/03/03
Cui XiweiSong JipengLi QingfengRen Jieyi - Selinexor, a first-in-class exportin1 (XPO1) inhibitor, is an attractive anti-tumor agent because of its unique mechanisms of action; however, its dose-dependent toxicity and lack of biomarkers preclude its wide use in clinical applications. To identify key molecules/pathways regulating selinexor sensitivity, we performed genome-wide CRISPR/Cas9 dropout screens using two B-ALL lines. We identified, for the first time, that paralogous DDX19A and DDX19B RNA helicases modulate selinexor sensitivity by regulating MCL1 mRNA nuclear export. While single depletion of either DDX19A or DDX19B barely altered MCL1 protein levels, depletion of both significantly attenuated MCL1 mRNA nuclear export, reducing MCL1 protein levels. Importantly, combining selinexor treatment with depletion of either DDX19A or DDX19B markedly induced intrinsic apoptosis of leukemia cells, an effect rescued by MCL1 overexpression. Analysis of Depmap datasets indicated that a subset of T-ALL lines expresses minimal DDX19B mRNA levels. Moreover, we found that either selinexor treatment or DDX19A depletion effectively induced apoptosis of T-ALL lines expressing low DDX19B levels. We conclude that XPO1 and DDX19A/B coordinately regulate cellular MCL1 levels and propose that DDX19A/B could serve as biomarkers for selinexor treatment. Moreover, pharmacological targeting of DDX19 paralogs may represent a potential strategy to induce intrinsic apoptosis in leukemia cells. - Source: PubMed
Publication date: 2024/07/11
Terasaki TatsuyaSemba YuichiroSasaki KensukeImanaga HiroshiSetoguchi KiyokoYamauchi TakujiHirabayashi ShigekiNakao FumihikoAkahane KoshiInukai TakeshiSanda TakaomiAkashi KoichiMaeda Takahiro - Branched-chain amino acid (BCAA) levels are associated with skeletal muscle cross-sectional area (CSA). Serum BCAA levels are enhanced by whey protein supplementation (WPS), and evidence in clinical populations suggests an association of single nucleotide polymorphisms (SNPs) with BCAA metabolite levels. It is not known whether the same SNPs are associated with the ability to catabolise BCAAs from exogenous sources, such as WPS. The present study investigated whether possessing a higher number of alleles associated with increased BCAA metabolites correlates with muscle fiber CSA of m. vastus lateralis in physically active participants, and whether any relationship is enhanced by WPS. Endurance-trained participants (n = 75) were grouped by self-reported habitual WPS consumption and genotyped for five SNPs (PPM1K rs1440580, APOA5 rs2072560, CBLN1 rs1420601, DDX19B rs12325419, and TRMT61A rs58101275). Body mass, BMI, and fat percentage were significantly lower and muscle mass higher in the WPS group compared to Non-WPS. The number of BCAA-increasing alleles was correlated with fiber CSA in the WPS group (r = 0.75, p < 0.0001) and was stronger for fast-twitch fibers (p = 0.001) than slow-twitch fibers (p = 0.048). Similar results remained when corrected for multiple covariates (age, physical activity, and meat and dairy intake). No correlation was found in the Non-WPS group. This study presents novel evidence of a positive relationship between BCAA-increasing alleles and muscle fiber CSA in athletes habitually consuming WPS. We suggest that a high number of BCAA-increasing alleles improves the efficiency of WPS by stimulation of muscle protein synthesis, and contributes to greater fiber CSA. - Source: PubMed
Publication date: 2022/02/23
Hall Elliott C RSemenova Ekaterina ABondareva Elvira AAndryushchenko Liliya BLarin Andrey KCięszczyk PawelGenerozov Edward VAhmetov Ildus I - Nuclear export of mRNAs is a critical regulatory step in eukaryotic gene expression. The mRNA transcript undergoes extensive processing, and is loaded with a set of RNA-binding proteins (RBPs) to form export-competent messenger ribonucleoprotein particles (mRNPs) in the nucleus. During the transit of mRNPs through the nuclear pore complex (NPC), the DEAD-box ATPase - DDX19 (herein referring to DDX19A and DDX19B) - remodels mRNPs at the cytoplasmic side of the NPC, by removing a subset of RNA-binding proteins to terminate mRNP export. This requires the RNA-dependent ATPase activity of DDX19 and its dynamic interactions with Gle1 and Nup214. However, the regulatory mechanisms underlying these interactions are unclear. We find that DDX19 gets covalently attached with a small ubiquitin-like modifier (SUMO) at lysine 26, which enhances its interaction with Gle1. Furthermore, a SUMOylation-defective mutant of human DDX19B, K26R, failed to provide a complete rescue of the mRNA export defect caused by DDX19 depletion. Collectively, our results suggest that SUMOylation fine-tunes the function of DDX19 in mRNA export by regulating its interaction with Gle1. This study identifies SUMOylation of DDX19 as a modulatory mechanism during the mRNA export process. This article has an associated First Person interview with the first author of the paper. - Source: PubMed
Publication date: 2022/02/18
Banerjee PoulomiMarkande ShubhaKalarikkal MishaJoseph Jomon