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Biology subjects

Koka, M.

Publications and source records attributed to Koka, M..

3 recordsLinked to original sources

tRNA-derived second messengers confer bacterial immunity

Bacterial small-molecule messengers that function in diverse immune signaling pathways have been thought to derive strictly from biosynthesis using nucleotide and cofactor substrates. Here we report a nuclease-driven immune signaling pathway in which tRNA cleavage generates a specific small molecule that triggers cell death in response to RNA-guided transcript recognition in prokaryotes. We identify a class of type VI-B CRISPR systems in which the RNA-guided nuclease Cas13 and its accessory transmembrane protein, 2TM{beta}, are co-encoded in an operon and are jointly required for bacteriophage defense. Upon target RNA recognition, Cas13 activates 2TM{beta} by producing mono- and dinucleotide messengers bearing 2',3'-cyclic uridine phosphate ends by tRNA cleavage. Activated 2TM{beta} destroys infected cells by forming a multimeric complex that disrupts cell membranes to mediate cell death. These findings demonstrate RNA-programmed tRNA cleavage for second-messenger biogenesis, revealing a new logic for prokaryotic immune signaling.

microbiology↗

Long non-coding RNA TUG1 is down-regulated in Friedreich's ataxia.

Friedreichs Ataxia (FRDA) is a neurodegenerative disorder caused by reduced frataxin (FXN) levels. It leads to motor and sensory impairments and has a median life expectancy of around 35 years. As the most common inherited form of ataxia with no cure, FRDA lacks reliable, non-invasive biomarkers, prolonging and inflating the cost of clinical trials. This study identifies long non-coding RNA Tug1 as a potential blood-based FRDA biomarker. In a previous study using a frataxin knockdown mouse model (FRDAkd), we observed several hallmark FRDA symptoms and abnormalities in various tissues. Building on this, we hypothesized that a dual-source approach--comparing the data from peripheral blood samples from FRDA patients with tissue samples from affected areas in FRDAkd mice, tissues usually unattainable from patients--would effectively identify robust biomarkers. A comprehensive reanalysis was conducted on gene expression data from 183 age- and sex-matched peripheral blood samples of FRDA patients, carriers, and controls, as well as 192 tissue datasets from FRDAkd mice. Blood and tissue samples underwent RNA isolation and qRT-PCR, and frataxin knockdown was confirmed through ELISA. Tug1 RNA interaction was explored via RNA pull-down assays. Validation was performed in serum and blood samples on an independent set of 45 healthy controls, 45 FRDA patients; 66 heterozygous carriers, and 72 FRDA patients. Tug1 and Slc40a1 emerged as potential blood-based biomarkers, confirmed in the FRDAkd mouse model (One-way ANOVA, p [&le;] 0.05). Tug1 was consistently downregulated after Fxn knockdown and correlated strongly with Fxn levels (R2 = 0.71 during depletion, R2 = 0.74 during rescue). Slc40a1 showed a similar but tissue-specific pattern. Further validation of Tug1s downstream targets strengthened its biomarker candidacy. In additional human samples, TUG1 levels were significantly downregulated in both whole blood and serum of FRDA patients compared to controls (Wilcoxon signed-rank test, p < 0.05). Regression analyses revealed a negative correlation between TUG1 levels and disease onset (p < 0.0037), and positive correlations with disease duration and Functional Disability Stage score (p < 0.04). This suggests that elevated TUG1 levels correlate with earlier onset and more severe cases. In summary, this study highlights Tug1 as a crucial blood-based biomarker for FRDA. Tug1s consistent expression variance across human and mouse tissues is closely associated to disease severity and key FRDA pathways. It also correlates strongly with Fxn levels, making it a promising early, non-invasive marker. TUG1 offers potential for FRDA monitoring and therapeutic development, warranting further clinical research.

neuroscience↗

Large-scale genomic study reveals robust activation of the immune system following advanced Inner Engineering meditation retreat.

The positive impact of meditation on human wellbeing is well documented, yet its molecular mechanisms are incompletely understood. We applied a comprehensive systems biology approach starting with whole blood gene expression profiling combined with multi-level bioinformatic analyses to characterize the co-expression, transcriptional, and protein-protein interaction networks to identify meditation-specific core network after an advanced 8-day Inner Engineering retreat program. We found the response to oxidative stress, detoxification, and cell cycle regulation pathways were downregulated after meditation. Strikingly, 220 genes directly associated with immune response, including 68 genes related to interferon (IFN) signaling were upregulated, with no significant expression changes in the inflammatory genes. This robust meditation-specific immune response network is significantly dysregulated in multiple sclerosis and severe COVID-19 patients. The work provides a foundation for understanding the effect of meditation and potential implications to voluntarily and non-pharmacologically improve the immune response before immunotherapy for many conditions, including multiple sclerosis and COVID-19 vaccination.

genomics↗