Biology subjects

Winkler, R.

Publications and source records attributed to Winkler, R..

3 recordsLinked to original sources

bioRxiv2021

Hepatocyte nuclear factor 4a and glucocorticoid receptor coordinately regulate lipid metabolism in mice fed a high-fat-high-sugar diet

Hepatocyte nuclear factor 4 (HNF4) and glucocorticoid receptor (GR), master regulators of liver metabolism, are down-regulated in fatty liver diseases. The present study was aimed to elucidate the role of down-regulation of HNF4 and GR in fatty liver and hyperlipidemia. Adult mice with liver-specific heterozygote and knockout (knockout) of HNF4 were fed a low-fat diet (LFD) or a high-fat-high-sugar diet (HFHS) for 15 days. Compared to LFD-fed mice, HFHS-fed wildtype mice had hepatic induction of lipid catabolic genes and down-regulation of lipogenic genes. Compared to HFHS-fed wildtype mice, HNF4 heterozygote mice had down-regulation of lipid catabolic genes, induction of lipogenic genes, and increased hepatic and blood levels of lipids, whereas HNF4 knockout mice had mild hypolipidemia, down-regulation of lipid-efflux genes, but induction of genes for uptake/storage of lipids. Sterol-regulatory-element-binding protein-1c (SREBP-1C), a master lipogenic regulator, was induced in HFHS-fed HNF4 heterozygote mice. In reporter assays, HNF4 potently inhibited the transactivation of mouse and human SREBP-1C promoter by liver X receptor. Surprisingly, nuclear GR proteins were gene-dosage-dependently decreased in HNF4 heterozygote and knockout mice. HFHS-fed mice with liver-specific knockout of GR had increased hepatic lipids and induction of SREBP-1C and PPAR{gamma}. In reporter assays, GR and HNF4 synergistically/additively induced lipid catabolic genes. Phosphorylation of AMP-activated protein kinase (AMPK), a key GR modulator, was dramatically decreased in HNF4 knockout mice. Thus, cooperative induction of lipid catabolic genes and suppression of lipogenic genes by HNF4 and GR, modulated by AMPK, may mediate the early resistance to HFHS-induced fatty liver and hyperlipidemia.

molecular biology↗

bioRxiv2020

SARS-CoV-2 utilizes a multipronged strategy to suppress host protein synthesis

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the ongoing coronavirus disease 19 (COVID-19) pandemic. Despite the urgent need, we still do not fully understand the molecular basis of SARS-CoV-2 pathogenesis and its ability to antagonize innate immune responses. Here, we use RNA-sequencing and ribosome profiling along SARS-CoV-2 infection and comprehensively define the mechanisms that are utilized by SARS-CoV-2 to shutoff cellular protein synthesis. We show SARS-CoV-2 infection leads to a global reduction in translation but that viral transcripts are not preferentially translated. Instead, we reveal that infection leads to accelerated degradation of cytosolic cellular mRNAs which facilitates viral takeover of the mRNA pool in infected cells. Moreover, we show that the translation of transcripts whose expression is induced in response to infection, including innate immune genes, is impaired, implying infection prevents newly transcribed cellular mRNAs from accessing the ribosomes. Overall, our results uncover the multipronged strategy employed by SARS-CoV-2 to commandeer the translation machinery and to suppress host defenses.

microbiology↗

bioRxiv2020

Target-Decoy MineR for determining the biological relevance of variables in noisy data sets

Machine learning algorithms excavate important variables from biological big data. However, deciding on the biological relevance of identified variables is challenging. The addition of artificial noise, decoy variables, to raw data, target variables, enables calculating a false-positive rate (FPR) and a biological relevance probability (BRp) for each variable rank. These scores allow the setting of a cut-off for informative variables can be defined, depending on the required sensitivity/ specificity of a scientific question. We demonstrate the function of the Target-Decoy MineR (TDM) with synthetic data and with experimental metabolomics results. The Target-Decoy MineR is suitable for different types of quantitative data in tabular format. An implementation of the algorithm in R is freely available from https://bitbucket.org/cesaremov/targetdecoy_mining/.

bioinformatics↗