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A cellular senescence-related genes model allows for prognosis and treatment stratification of hepatocellular carcinoma: A bioinformatics analysis and experimental verification
Conclusion: We established a cellular senescence-based stratified model, and a multivariable-based nomogram, which could predict the survival of HCC patients and guide clinical treatment.
Source: Frontiers in Genetics - January 12, 2023 Category: Genetics & Stem Cells Source Type: research

Genetic Regulation of Liver Metabolites and Transcripts Linking to Biochemical-Clinical Parameters
Conclusion In summary, this study is the first to combine metabolomics, transcriptomics, and genome-wide association studies in a porcine model. Our results improve understanding of the genetic regulation of metabolites which link to transcripts and finally biochemical-clinical parameters. Further, high-performance profiling of metabolites as intermediate phenotypes is a potentially powerful approach to uncover how genetic variation affects metabolic and health status. Our results advance knowledge in areas of biomedical and agricultural interest and identify potential correlates of biomarkers, SNPs-metabolites, SNPs-tran...
Source: Frontiers in Genetics - April 16, 2019 Category: Genetics & Stem Cells Source Type: research

Silencing of the pentose phosphate pathway genes influences DNA replication in human fibroblasts.
Abstract Previous reports and our recently published data indicated that some enzymes of glycolysis and the tricarboxylic acid cycle can affect the genome replication process by changing either the efficiency or timing of DNA synthesis in human normal cells. Both these pathways are connected with the pentose phosphate pathway (PPP pathway). The PPP pathway supports cell growth by generating energy and precursors for nucleotides and amino acids. Therefore, we asked if silencing of genes coding for enzymes involved in the pentose phosphate pathway may also affect the control of DNA replication in human fibroblasts. ...
Source: Gene - September 5, 2017 Category: Genetics & Stem Cells Authors: Fornalewicz K, Wieczorek A, Węgrzyn G, Łyżeń R Tags: Gene Source Type: research