René Huber

Regulation of C/EBPβ and resulting functions in cells of the monocytic lineage.

Monocyte/macrophages play an important role in orchestrating the immune response. The present review refers to C/EBPβ, which is a key transcription factor regulating monocytic gene expression. Following a general introduction to C/EBPβ, this article focuses on activators and regulators of the C/EBPβ system in monocytic cells, including differentiating agents, cytokines, and bacterial products as well as associated signaling pathways. Furthermore, C/EBPβ target genes in monocytic cells are summarized and resulting functions are described, including regulation of proliferation and differentiation as well as orchestration of processes of mainly the innate immune response. In addition, a variety of disease stages are described in which a dysregulation of the C/EBPβ system may be involved. A detailed knowledge of the C/EBPβ system in monocytic cells may help to further understand the difference between inflammatory and malignant proliferation as well as additional regulatory facets of innate immunity.

Identification of intra-group, inter-individual, and gene-specific variances in mRNA expression profiles in the rheumatoid arthritis synovial membrane.

IntroductionRheumatoid arthritis (RA) is a chronic inflammatory and destructive joint disease characterized by overexpression of pro-inflammatory/pro-destructive genes and other activating genes (for example, proto-oncogenes) in the synovial membrane (SM). The gene expression in disease is often characterized by significant inter-individual variances via specific synchronization/desynchronization of gene expression. To elucidate the contribution of the variance to the pathogenesis of disease, expression variances were tested in SM samples of RA patients, osteoarthritis (OA) patients, and normal controls (NCs).MethodAnalysis of gene expression in RA, OA, and NC samples was carried out using Affymetrix U133A/B oligonucleotide arrays, and the results were validated by real-time reverse transcription-polymerase chain reaction. For the comparison between RA and NC, 568 genes with significantly different variances in the two groups (P ≤ 0.05; Bonferroni/Holm corrected Brown-Forsythe version of the Levene test) were selected. For the comparison between RA and OA, 333 genes were selected. By means of the Kyoto Encyclopedia of Genes and Genomes, the pathways/complexes significantly affected by higher gene expression variances were identified in each group.ResultsTen pathways/complexes significantly affected by higher gene expression variances were identified in RA compared with NC, including cytokine–cytokine receptor interactions, the transforming growth factor-beta pathway, and anti-apoptosis. Compared with OA, three pathways with significantly higher variances were identified in RA (for example, B-cell receptor signaling and vascular endothelial growth factor signaling). Functionally, the majority of the identified pathways are involved in the regulation of inflammation, proliferation, cell survival, and angiogenesis.ConclusionIn RA, a number of disease-relevant or even disease-specific pathways/complexes are characterized by broad intra-group inter-individual expression variances. Thus, RA pathogenesis in different individuals may depend to a lesser extent on common alterations of the expression of specific key genes, and rather on individual-specific alterations of different genes resulting in common disturbances of key pathways.

CCAAT/Enhancer-binding Protein β Inhibits Proliferation in Monocytic Cells by Affecting the Retinoblastoma Protein/E2F/Cyclin E Pathway but Is Not Directly Required for Macrophage Morphology

Monocytic differentiation is orchestrated by complex networks that are not fully understood. This study further elucidates the involvement of transcription factor CCAAT/enhancer-binding protein β (C/EBPβ). Initially, we demonstrated a marked increase in nuclear C/EBPβ-liver-enriched activating protein* (LAP*)/liver-enriched activating protein (LAP) levels and LAP/liver-enriched inhibiting protein (LIP) ratios in phorbol 12-myristate 13-acetate (PMA)-treated differentiating THP-1 premonocytic cells accompanied by reduced proliferation. To directly study C/EBPβ effects on monocytic cells, we generated novel THP-1-derived (low endogenous C/EBPβ) cell lines stably overexpressing C/EBPβ isoforms. Most importantly, cells predominantly overexpressing LAP* (C/EBPβ-long), but not those overexpressing LIP (C/EBPβ-short), exhibited a reduced proliferation, with no effect on morphology. PMA-induced inhibition of proliferation was attenuated in C/EBPβ-short cells. In C/EBPβWT macrophage-like cells (high endogenous C/EBPβ), we measured a reduced proliferation/cycling index compared with C/EBPβKO. The typical macrophage morphology was only observed in C/EBPβWT, whereas C/EBPβKO stayed round. C/EBPα did not compensate for C/EBPβ effects on proliferation/morphology. Serum reduction, an independent approach known to inhibit proliferation, induced macrophage morphology in C/EBPβKO macrophage-like cells but not THP-1. In PMA-treated THP-1 and C/EBPβ-long cells, a reduced phosphorylation of cell cycle repressor retinoblastoma was found. In addition, C/EBPβ-long cells showed reduced c-Myc expression accompanied by increased CDK inhibitor p27 and reduced cyclin D1 levels. Finally, C/EBPβ-long and C/EBPβWT cells exhibited low E2F1 and cyclin E levels, and C/EBPβ overexpression was found to inhibit cyclin E1 promoter-dependent transcription. Our results suggest that C/EBPβ reduces monocytic proliferation by affecting the retinoblastoma/E2F/cyclin E pathway and that it may contribute to, but is not directly required for, macrophage morphology. Inhibition of proliferation by C/EBPβ may be important for coordinated monocytic differentiation.

Regulation of monocyte differentiation by specific signaling modules and associated transcription factor networks

Monocyte/macrophages are important players in orchestrating the immune response as well as connecting innate and adaptive immunity. Myelopoiesis and monopoiesis are characterized by the interplay between expansion of stem/progenitor cells and progression towards further developed (myelo)monocytic phenotypes. In response to a variety of differentiation-inducing stimuli, various prominent signaling pathways are activated. Subsequently, specific transcription factors are induced, regulating cell proliferation and maturation. This review article focuses on the integration of signaling modules and transcriptional networks involved in the determination of monocytic differentiation.

Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation

IntroductionDiscrimination of rheumatoid arthritis (RA) patients from patients with other inflammatory or degenerative joint diseases or healthy individuals purely on the basis of genes differentially expressed in high-throughput data has proven very difficult. Thus, the present study sought to achieve such discrimination by employing a novel unbiased approach using rule-based classifiers.MethodsThree multi-center genome-wide transcriptomic data sets (Affymetrix HG-U133 A/B) from a total of 79 individuals, including 20 healthy controls (control group - CG), as well as 26 osteoarthritis (OA) and 33 RA patients, were used to infer rule-based classifiers to discriminate the disease groups. The rules were ranked with respect to Kiendl’s statistical relevance index, and the resulting rule set was optimized by pruning. The rule sets were inferred separately from data of one of three centers and applied to the two remaining centers for validation. All rules from the optimized rule sets of all centers were used to analyze their biological relevance applying the software Pathway Studio.ResultsThe optimized rule sets for the three centers contained a total of 29, 20, and 8 rules (including 10, 8, and 4 rules for ‘RA’), respectively. The mean sensitivity for the prediction of RA based on six center-to-center tests was 96% (range 90% to 100%), that for OA 86% (range 40% to 100%). The mean specificity for RA prediction was 94% (range 80% to 100%), that for OA 96% (range 83.3% to 100%). The average overall accuracy of the three different rule-based classifiers was 91% (range 80% to 100%). Unbiased analyses by Pathway Studio of the gene sets obtained by discrimination of RA from OA and CG with rule-based classifiers resulted in the identification of the pathogenetically and/or therapeutically relevant interferon-gamma and GM-CSF pathways.ConclusionFirst-time application of rule-based classifiers for the discrimination of RA resulted in high performance, with means for all assessment parameters close to or higher than 90%. In addition, this unbiased, new approach resulted in the identification not only of pathways known to be critical to RA, but also of novel molecules such as serine/threonine kinase 10.

Comparison of different methods for preparation and characterization of total RNA from cartilage samples to uncover osteoarthritis in vivo

BackgroundThe isolation of intact RNA can be very difficult when tissues are used that contain many RNAses or that are hard to homogenize, e.g. cartilage samples. Additionally, cartilaginous tissues are characterized by a low cellularity and an abundance of extracellular matrix (ECM) molecules. But given the growing interest in understanding pathogenesis of degenerative diseases, e.g. osteoarthritis (OA) and rheumatoid arthritis (RA), studies have to consider expression pattern of cells in its natural environment.FindingsWe compared the current RNA isolation methods for the extraction of high-quality RNA of snap-frozen biopsies from limited amounts of hypocellular cartilaginous tissue. The focus of the study was to gather information about procedure-related differences in RNA quality and yield. Here, we describe two protocols, the phenol/chloroform-free filter-based method (RNAqueous™ kit) and the combined protocol (TRIzol®/RNeasy Mini™ kit), working in a reproducible and reliable manner.ConclusionsWe conclude that preparation, storage, homogenization, and quality control are altogether critical steps for in-depth analysis of differential gene expression, especially in hypocellular tissues with highly crosslinked ECM like cartilage.

ITD‐ and FL‐induced FLT3 signal transduction leads to increased C/EBPβ‐LIP expression and LIP/LAP ratio by different signalling modules

FLT3 receptor‐associated signalling plays a role in proliferation and leukaemia. The transcription factor C/EBPβ may be involved in malignancy with its alternative translation product C/EBPβ‐LIP. We investigated a potential connection between FLT3 signalling and the C/EBPβ system in FLT3‐internal tandem duplication (ITD)‐positive leukaemia cells and FLT3‐ITD‐ or FLT3‐wild type (WT)‐transfected 32D cells. In FLT3‐ITD‐positive cells or when ITD sequences were inserted into the FLT3‐WT receptor, significant LIP levels, increased LIP/LAP ratios, and enhanced proliferation rates were detected, which were reduced by FLT3 inhibition. In FLT3‐WT cells, incubation with FLT3 receptor ligand (FL) also elevated LIP, LIP/LAP, and proliferation, albeit to a lesser extent. CEBPB‐directed siRNA decreased both LIP and proliferation rates in FLT3‐ITD‐positive and FL‐stimulated FLT3‐WT‐positive cells. PI3K inhibition affected ITD‐associated and FL‐induced LIP levels. Rapamycin, an inhibitor of mTOR involved in CEBPB translation, completely blocked the increase in LIP in FL‐stimulated FLT3‐WT‐ but not FLT3‐ITD‐positive cells. In contrast, the ITD‐associated LIP elevation was mediated by p90‐ribosomal‐S6‐kinase. This is the first report showing a LIP increase in the presence of ITD or following FL exposure. Our data suggest fundamental differences in the signalling cascades activated via ITD mutations or following FL stimulation, indicating the need for adapted molecular therapy.

Novel application of multi-stimuli network inference to synovial fibroblasts of rheumatoid arthritis patients

BackgroundNetwork inference of gene expression data is an important challenge in systems biology. Novel algorithms may provide more detailed gene regulatory networks (GRN) for complex, chronic inflammatory diseases such as rheumatoid arthritis (RA), in which activated synovial fibroblasts (SFBs) play a major role. Since the detailed mechanisms underlying this activation are still unclear, simultaneous investigation of multi-stimuli activation of SFBs offers the possibility to elucidate the regulatory effects of multiple mediators and to gain new insights into disease pathogenesis.MethodsA GRN was therefore inferred from RA-SFBs treated with 4 different stimuli (IL-1 β, TNF- α, TGF- β, and PDGF-D). Data from time series microarray experiments (0, 1, 2, 4, 12 h; Affymetrix HG-U133 Plus 2.0) were batch-corrected applying ‘ComBat’, analyzed for differentially expressed genes over time with ‘Limma’, and used for the inference of a robust GRN with NetGenerator V2.0, a heuristic ordinary differential equation-based method with soft integration of prior knowledge.ResultsUsing all genes differentially expressed over time in RA-SFBs for any stimulus, and selecting the genes belonging to the most significant gene ontology (GO) term, i.e., ‘cartilage development’, a dynamic, robust, moderately complex multi-stimuli GRN was generated with 24 genes and 57 edges in total, 31 of which were gene-to-gene edges. Prior literature-based knowledge derived from Pathway Studio or manual searches was reflected in the final network by 25/57 confirmed edges (44%). The model contained known network motifs crucial for dynamic cellular behavior, e.g., cross-talk among pathways, positive feed-back loops, and positive feed-forward motifs (including suppression of the transcriptional repressor OSR2 by all 4 stimuli.ConclusionA multi-stimuli GRN highly concordant with literature data was successfully generated by network inference from the gene expression of stimulated RA-SFBs. The GRN showed high reliability, since 10 predicted edges were independently validated by literature findings post network inference. The selected GO term ‘cartilage development’ contained a number of differentiation markers, growth factors, and transcription factors with potential relevance for RA. Finally, the model provided new insight into the response of RA-SFBs to multiple stimuli implicated in the pathogenesis of RA, in particular to the ‘novel’ potent growth factor PDGF-D.

Identification of Two Forms of TNF Tolerance in Human Monocytes: Differential Inhibition of NF-κB/AP-1– and PP1-Associated Signaling

The molecular basis of TNF tolerance is poorly understood. In human monocytes we detected two forms of TNF refractoriness, as follows: absolute tolerance was selective, dose dependently affecting a small group of powerful effector molecules; induction tolerance represented a more general phenomenon. Preincubation with a high TNF dose induces both absolute and induction tolerance, whereas low-dose preincubation predominantly mediates absolute tolerance. In cells preincubated with the high TNF dose, we observed blockade of IκBα phosphorylation/proteolysis and nuclear p65 translocation. More prominent in cells preincubated with the high dose, reduced basal IκBα levels were found, accompanied by increased IκBα degradation, suggesting an increased IκBα turnover. In addition, a nuclear elevation of p50 was detected in tolerant cells, which was more visible following high-dose preincubation. TNF-induced phosphorylation of p65-Ser536, p38, and c-jun was inhibited, and basal inhibitory p65-Ser468 phosphorylation was increased in tolerant cells. TNF tolerance induced by the low preincubation dose is mediated by glycogen synthesis kinase-3, whereas high-dose preincubation-mediated tolerance is regulated by A20/glycogen synthesis kinase-3 and protein phosphatase 1–dependent mechanisms. To our knowledge, we present the first genome-wide analysis of TNF tolerance in monocytic cells, which differentially inhibits NF-κB/AP-1–associated signaling and shifts the kinase/phosphatase balance. These forms of refractoriness may provide a cellular paradigm for resolution of inflammation and may be involved in immune paralysis.

C/EBPβ-LAP*/LAP Expression Is Mediated by RSK/eIF4B-Dependent Signalling and Boosted by Increased Protein Stability in Models of Monocytic Differentiation

The transcription factor C/EBPβ plays a key role in monocytic differentiation and inflammation. Its small isoform LIP is associated with proliferation at early premonocytic developmental stages and regulated via mTOR-dependent signalling. During later stages of (pre)monocytic differentiation there is a considerable increase in the large C/EBPβ isoforms LAP*/LAP which inhibit proliferation thus supporting terminal differentiation. Here, we showed in different models of monocytic differentiation that this dramatic increase in the LAP*/LAP protein and LAP/LIP ratio was accompanied by an only modest/retarded mRNA increase suggesting an important role for (post)translational mechanisms. We found that LAP*/LAP formation was induced via MEK/RSK-dependent cascades, whereas mTOR/S6K1 were not involved. Remarkably, LAP*/LAP expression was dependent on phosphorylated eIF4B, an acceleratory protein of RNA helicase eIF4A. PKR inhibition reduced the expression of eIF4B and C/EBPβ in an eIF2α-independent manner. Furthermore, under our conditions a marked stabilisation of LAP*/LAP protein occurred, accompanied by reduced chymotrypsin-like proteasome/calpain activities and increased calpastatin levels. Our study elucidates new signalling pathways inducing LAP*/LAP expression and indicates new alternative PKR functions in monocytes. The switch from mTOR- to RSK-mediated signalling to orchestrate eIF4B-dependent LAP*/LAP translation, accompanied by increased protein stability but only small mRNA changes, may be a prototypical example for the regulation of protein expression during selected processes of differentiation/proliferation.