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| http://dx.doi.org/10.1016/j.jinf.2023.06.017 | DOI Listing |
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Machine learning-based identification of histone deacetylase-associated prognostic factors and prognostic modeling for low-grade glioma.
Discov Oncol
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Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Background: Low-grade glioma (LGG) is a slow-growing but invasive tumor that affects brain function. Histone deacetylases (HDACs) play a critical role in gene regulation and tumor progression. This study aims to develop a prognostic model based on HDAC-related genes to aid in risk stratification and predict therapeutic responses.
View Article and Find Full Text PDFAcross-the-board review on Omicron SARS-CoV-2 variant.
Inflammopharmacology
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Department of Pharmacy, Integral University, Lucknow, 226026, India.
Introduction: Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a cataclysmic pandemic. Several SARS-CoV-2 mutations have been found and reported since the COVID-19 pandemic began. After the Alpha, Beta, Gamma, and Delta variants, the Omicron (B.
View Article and Find Full Text PDFPrognostic and immunological role of LASP2 in clear cell renal cell carcinoma.
Genes Genomics
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Department of Urology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, No. 63, Huang Tang Road, Meizhou, 514031, Guangdong Province, People's Republic of China.
Background: Clear cell renal cell carcinoma (ccRCC) represents a common renal carcinoma subtype influenced by the immune microenvironment. LIM and SH3 Protein 2 (LASP2), an actin-binding protein within the nebulin family, contributes to cellular immunity and adhesion mechanisms.
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Revealing systematic changes in the transcriptome during the transition from exponential growth to stationary phase.
mSystems
December 2024
Department of Bioengineering, University of California, San Diego, California, USA.
Unlabelled: The composition of bacterial transcriptomes is determined by the transcriptional regulatory network (TRN). The TRN regulates the transition from one physiological state to another. Here, we use independent component analysis to monitor the composition of the transcriptome during the transition from the exponential growth phase to the stationary phase.
View Article and Find Full Text PDFImmune-related gene characterization and biological mechanisms in major depressive disorder revealed based on transcriptomics and network pharmacology.
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Department of Psychiatry, The Fifth Hospital of Shanxi Medical University, The Fifth Clinical Medical College of Shanxi Medical University, Shanxi Provincial People's Hospital, Taiyuan, China.
Background: Major depressive disorder (MDD) is a severe psychiatric disorder characterized by complex etiology, with genetic determinants that are not fully understood. The objective of this study was to investigate the pathogenesis of MDD and to explore its association with the immune system by identifying hub biomarkers using bioinformatics analyses and examining immune infiltrates in human autopsy samples.
Methods: Gene microarray data were obtained from the Gene Expression Omnibus (GEO) datasets GSE32280, GSE76826, GSE98793, and GSE39653.
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