Project description:Liver regeneration is characterized by a scheduled sequence of inner and intra-cellular signaling events. It starts with an initial inflammatory phase, followed by a period of rapidly proliferating hepatocytes and stopping abruptly when the liver mass is restored. The cytokines hepatocellular growth factor (HGF) and interleukin 6 (IL-6) play a pivotal role during this process with the former driving proliferation that is enhanced by the latter. While the individual importance of HGF and IL6 has been studied comprahensively the role of cross-talk in control of hepatic proliferation is jet largely unknown. To this end, we performed time-resolved transcriptional profiling of of murine hepatocytes stimulated with HGF and IL-6 indiviually as well as in combination. Thorough systematic investigation performing statistical analysis, mathematical formalization of cross-talk effects on the transcriptional level as well as gene-regulatory network inference revealed the transcriptional program of the cross-talk initiated by HGF and IL-6. Using the proliferation associated Hepcidin (Hamp) and Amphiregulin (Areg) as marker genes for liver regeneration we perform exthensive in-silico experiments with the inferred gene-regulatory network for the identification of the most important players in regulation of the proliferation process. Among other genes, this predicted chemokine (C-X-C motif) ligand 10 (Cxcl10) as an important factor in the temporal regulation of proliferation. These predictions were validated by independent in vitro expression data as well as independent in vivo literature data. While Cxcl10 is known to be involved in liver regeneration, our study extend its role towards its temporal orchestration. Cells were stimulated with either 40 ng/ml rmHGF (all R&D Systems) or 40 ng/ml rhIL-6 alone or in combination. Cells were left untreated as unstimulated control. RNA from three biological triplicates was extracted at 0, 0.5, 2, 4, 8, 16, 24 and 32 hours after stimulation using the RNeasy Mini Plus Kit (Qiagen, Hilden, Germany).
Project description:Liver regeneration is characterized by a scheduled sequence of inner and intra-cellular signaling events. It starts with an initial inflammatory phase, followed by a period of rapidly proliferating hepatocytes and stopping abruptly when the liver mass is restored. The cytokines hepatocellular growth factor (HGF) and interleukin 6 (IL-6) play a pivotal role during this process with the former driving proliferation that is enhanced by the latter. While the individual importance of HGF and IL6 has been studied comprahensively the role of cross-talk in control of hepatic proliferation is jet largely unknown. To this end, we performed time-resolved transcriptional profiling of of murine hepatocytes stimulated with HGF and IL-6 indiviually as well as in combination. Thorough systematic investigation performing statistical analysis, mathematical formalization of cross-talk effects on the transcriptional level as well as gene-regulatory network inference revealed the transcriptional program of the cross-talk initiated by HGF and IL-6. Using the proliferation associated Hepcidin (Hamp) and Amphiregulin (Areg) as marker genes for liver regeneration we perform exthensive in-silico experiments with the inferred gene-regulatory network for the identification of the most important players in regulation of the proliferation process. Among other genes, this predicted chemokine (C-X-C motif) ligand 10 (Cxcl10) as an important factor in the temporal regulation of proliferation. These predictions were validated by independent in vitro expression data as well as independent in vivo literature data. While Cxcl10 is known to be involved in liver regeneration, our study extend its role towards its temporal orchestration. Cells were stimulated with either 40 ng/ml rmHGF (all R&D Systems) and 40 ng/ml rhIL-6 alone or in combination. Cells were left untreated as unstimulated control. RNA was extracted at 1,2,3,4,5,6,7,8,9,10,12,24 hours. Cells were treated with IL6 alone for the first 4 hours and then additionally with HGF from hours 4-24. Controls were taken at -5,0,4,8,12,24 hours.
Project description:To obtain a comprehensive view on the TGF-beta effects in primary mouse hepatocytes, Affymetrix microarrays were performed. We aimed at detecting early (1h), intermediate (6h) and late (24h) target genes.
Project description:Glucocorticoids are widely used therapeutically to suppress inflammatory/immune responses and most of their effects are produced either by altering transcription of specific genes directly, or by altering the expression of transcription factors that subsequently alter the expression of downstream genes. Relevant data from previous studies indicate that the number of genes regulated by glucocorticoid receptor exceeds 4000 in cells and that 358 different genes are regulated in the liver of adrenalectomized males rats treated with a chronic infusion of methylprednisolone for up to 1 week . However, differences in gene expression between males and females in response to glucocorticoid treatment in isolated hepatocytes are not known. Livers were isolated from adult male and female Sprague-Dawley rats and digested with the collagenase perfusion method developed by Berry and Friend (J Cell Biol 43, 506-520;1969). After collagenase treatment, the liver was excised, minced in balanced salt solution, and centrifuged at 50 g for 3 min. Immediately after isolation, hepatocytes were resuspended in Williams E Medium containing penicillin (100 units/ml), streptomycin (100 M-NM-<g/ml), 2 mM glutamine pH 7.4, and 10% fetal bovine serum and plated on collagen-coated 94 x 16 mm cell culture dishes and maintained for 24 hours in a 95% airM-bM-^@M-^S5% CO2, 37M-BM-0C incubator. The medium was then changed to free serum Williams E Medium and maintained in culture for an additional 24 hours. Hepatocytes isolated from male and rats were treated with vehicle (0.01% ethanol) or dexamethasone (100 nm) for 6 hours. Total RNA from cells were extracted by using the RNeasy Midi Kit (Qiagen) according to the manufacturerM-bM-^@M-^Ys instructions. All samples were treated with the RNase-free DNase set (Qiagen) and were kept at -80M-BM-0C until labeling and hybridization.
Project description:Rifampin causes drug interactions by altering hepatic drug metabolism. Because microRNAs (miRNAs) have been shown to regulate genes involved in drug metabolism, we determined the effect of rifampin on the expression of hepatic miRNAs. Primary human hepatocytes from seven subjects were treated with rifampin, and the expression of miRNA and cytochrome P450 (P450) mRNAs was measured by TaqMan assays and RNA-seq, respectively. Rifampin induced the expression of 10 clinically important and 13 additional P450 genes and repressed the expression of 9 other P450 genes (P < 0.05). Rifampin induced the expression of 33 miRNAs and repressed the expression of 35 miRNAs (P < 0.05). Several of these changes were highly negatively correlated with the rifampin-induced changes in the expression of their predicted target P450 mRNAs, supporting the possibility of miRNA-induced regulation of P450 mRNA expression. In addition, several other miRNA changes were positively correlated with the changes in P450 mRNA expression, suggesting similar regulatory mechanisms. Despite the interindividual variability in the rifampin effects on miRNA expression, principal components analysis clearly separated the rifampin-treated samples from the controls. In conclusion, rifampin treatment alters miRNA expression patterns in human hepatocytes, and some of the changes were correlated with the rifampin-induced changes in expression of the P450 mRNAs they are predicted to target. Primary human hepatocytes were treated rifampin or vehicle for 24 hours. Rifampin-treated samples are not available for the 30Jul10 patient or the Hep2 patient due to raw data file corruption.
Project description:A toxicogenomics approach was used to qualitatively and quantitatively compare gene expression changes in rat primary hepatocytes exposed to 2,3,4,7,8-pentachlorodibenzofuran (4-PeCDF) or 2,3,7,8-tetrachlorodibenzofuran (TCDF). Hepatocytes from five individual rats were exposed for 24 hours to 11 concentrations of each chemical ranging from 0.00001 nM to 100 nM and a vehicle control. 115 microarrays representing primary hepatocytes from 5 rats, each exposed to 11 doses of each chemical (PeCDF and TCDF) and vehicle controls. Arrays were completed with a one-color design.
Project description:We found that TLS can work as a PGC-1alpha cofactor and this assay was carried out to test the functional dependency of TLS on PGC-1alpha on a whole genome scale Three independently-isolated cultures of primary hepatocytes from PGC-1α+/+ and PGC-1α-/- mice were infected with shTLS or control adenovirus. RNA was extracted by Trizol extraction, re-purified with RNAeasy (Invitrogen), and checked for integrity and quantity with the Agilent Bio-Analyzer QC. RNA was amplified and labeled with the One-Color Microarray-Based Gene Expression Analysis Protocol (Agilent Technologies, Palo Alto, CA, USA). Samples were hybridized to a G4122F 4x44K whole mouse genome microarray (Agilent Technologies). Arrays were scanned at 5 mm resolution with a G2565BA DNA microarray scanner (Agilent Technologies) at the default settings for 4x44k format one-color arrays. Images were analyzed using Feature Extraction software v10.1.1.1 (Agilent Technologies). Raw signals were thresholded to 1 and normalized by quantile (Bolstad et al., 2003) was performed using GeneSpring software. Data were analyzed on the log2 scale. Default flags were considered as absent, except for saturated spots that were flagged as marginal.
Project description:Studies in mice have shown that PPARα is an important regulator of hepatic lipid metabolism and the acute phase response. However, little information is available on the role of PPARα in human liver. Here we set out to compare the function of PPARα in mouse and human hepatocytes via analysis of target gene regulation. Primary hepatocytes from 6 human and 6 mouse donors were treated with PPARα agonist Wy14643 and gene expression profiling was performed using Affymetrix GeneChips followed by a systems biology analysis. Baseline PPARα expression was similar in human and mouse hepatocytes. Depending on species and time of exposure, Wy14643 significantly induced the expression of 362-672 genes. Surprisingly minor overlap was observed between the Wy14643-regulated genes from mouse and human, although more substantial overlap was observed at the pathway level. Xenobiotics metabolism and apolipoprotein synthesis were specifically regulated by PPARα in human hepatocytes, whereas glycolysis-gluconeogenesis was regulated specifically in mouse hepatocytes. Most of the genes commonly regulated in mouse and human were involved in lipid metabolism and many represented known PPARα targets, including CPT1A, HMGCS2, FABP, ACSL, and ADFP. Several genes were identified that were specifically induced by PPARα in human (MBL2, ALAS1, CYP1A1, TSKU) or mouse (Fbp2, lgals4, Cd36, Ucp2, Pxmp4). Furthermore, several putative novel PPARα targets were identified that were commonly regulated in both species, including CREB3L3, KLF10, KLF11 and MAP3K8. Our results suggest that PPARα activation has a major impact on gene regulation in human hepatocytes. Importantly, the role of PPARα as master regulator of hepatic lipid metabolism is generally well-conserved between mouse and human. Overall, however, PPARα regulates a mostly divergent set of genes in mouse and human hepatocytes. GSE17250: Comparative analysis of gene regulation by the transcription factor PPARα_mouse; GSE17251: Comparative analysis of gene regulation by the transcription factor PPARα_human Experiment Overall Design: Refer to individual Series
Project description:Statins are widely used cholesterol-lowering drugs that inhibit HMG-CoA reductase, a key enzyme in cholesterol synthesis. In some cases, however, these drugs may cause a number of toxic side effects in hepatocytes and skeletal muscle tissue. Currently, the specific molecular mechanisms that cause these adverse effects are not sufficiently understood. In this work, genome-wide RNA expression changes in primary human hepatocytes of six individuals were measured at five time points upon atorvastatin treatment. A novel systems-level analysis workflow was applied to reconstruct regulatory mechanisms based on these drug-response data and available knowledge about transcription factor binding specificities, protein-protein interactions and protein-drug interactions. Several previously unknown transcription factors, regulatory cofactors and signaling molecules were found to be involved in atorvastatin-responsive gene expression. Some novel relationships, e.g., the regulatory influence of nuclear receptor NR2C2 on CYP3A4, were successfully validated in wet-lab experiments. Whole-genome Affymetrix U133 Plus 2.0 (Affymetrix, Santa Clara, CA) microarray measurements were conducted using samples of primary human hepatocytes cultured from six individuals (i.e., hh62, hh65, hh67, hh79, hh80 and hh81). Each sample was treated with atorvastatin and dimethylsulfoxide (DMSO), which was used as a control substance. Microarray measurements were performed at five time points (6 h, 12 h, 24 h, 48 h and 72 h) after the drug stimulus.
Project description:Biological replicates of liver spheroids derived from primary hepatocytes were treated with IFNa2 and/or baricitinib for 24 h and subsequently infected with Sars-CoV-2. The cells were harvested 48 h time after infection. Total RNA was extracted and sequenced with a strand-specific paired end RNA-seq protocol.