Intensitätsbasierte Qualitätskontrolle und Skalierung von Genexpressionsdaten

Mithilfe von Sequenz-Datenbanken und Genom-Informationen können GeneChips die Expression zehntausender Transkripte parallel messen. Hier wird zunächst eine SPLUS-Bibliothek für GeneChip-Daten entwickelt. Dazu gehört ein Algorithmus zum Gruppieren, Benennen und Kombinieren von Experimenten in Abhängigkeit ihrer Merkmale. Um das Ausmaß der technischen Varianz im Aufarbeitungsprotokoll zu quantifizieren, werden Qualitätskriterien in eigenen und öffentlichen Datensätzen untersucht. Darüber hinaus wird ein Kriterium "Gesamtintensität entwickelt, welches bisherigen Qualitätskriterien in Teilaspekten überlegen ist. Über eine "Skalierung" werden Experimente vergleichbar gemacht. Sechs Bewertungsaspekte ermöglichen die objektive Beurteilung der Standardskalierung im Vergleich zu drei eigenen Entwicklungen. Es ergaben sich Hinweise auf eine Überlegenheit einer dieser Entwicklungen (sum.of.intens-Skalierung) zur Standardskalierung, welche in weiteren Experimenten überprüft werden sollte

Gene expression in periodontal tissues following treatment

<p>Abstract</p> <p>Background</p> <p>In periodontitis, treatment aimed at controlling the periodontal biofilm infection results in a resolution of the clinical and histological signs of inflammation. Although the cell types found in periodontal tissues following treatment have been well described, information on gene expression is limited to few candidate genes. Therefore, the aim of the study was to determine the expression profiles of immune and inflammatory genes in periodontal tissues from sites with severe chronic periodontitis following periodontal therapy in order to identify genes involved in tissue homeostasis.</p> <p>Gingival biopsies from 12 patients with severe chronic periodontitis were taken six to eight weeks following non-surgical periodontal therapy, and from 11 healthy controls. As internal standard, RNA of an immortalized human keratinocyte line (HaCaT) was used. Total RNA was subjected to gene expression profiling using a commercially available microarray system focusing on inflammation-related genes. Post-hoc confirmation of selected genes was done by Realtime-PCR.</p> <p>Results</p> <p>Out of the 136 genes analyzed, the 5% most strongly expressed genes compared to healthy controls were Interleukin-12A (IL-12A), Versican (CSPG-2), Matrixmetalloproteinase-1 (MMP-1), Down syndrome critical region protein-1 (DSCR-1), Macrophage inflammatory protein-2β (Cxcl-3), Inhibitor of apoptosis protein-1 (BIRC-1), Cluster of differentiation antigen 38 (CD38), Regulator of G-protein signalling-1 (RGS-1), and Finkel-Biskis-Jinkins murine osteosarcoma virus oncogene (C-FOS); the 5% least strongly expressed genes were Receptor-interacting Serine/Threonine Kinase-2 (RIP-2), Complement component 3 (C3), Prostaglandin-endoperoxide synthase-2 (COX-2), Interleukin-8 (IL-8), Endothelin-1 (EDN-1), Plasminogen activator inhibitor type-2 (PAI-2), Matrix-metalloproteinase-14 (MMP-14), and Interferon regulating factor-7 (IRF-7).</p> <p>Conclusion</p> <p>Gene expression profiles found in periodontal tissues following therapy indicate activation of pathways that regulate tissue damage and repair.</p

Individual Profiling of Circulating Tumor Cell Composition and Therapeutic Outcome in Patients with Hepatocellular Carcinoma

AbstractBACKGROUND AND AIMS: Circulating tumor cells (CTCs) have been proposed as a monitoring tool in patients with solid tumors. So far, automated approaches are challenged by the cellular heterogeneity of CTC, especially the epithelial-mesenchymal transition. Recently, Yu and colleagues showed that shifts in these cell populations correlated with response and progression, respectively, to chemotherapy in patients with breast cancer. In this study, we assessed which non-hematopoietic cell types were identifiable in the peripheral blood of hepatocellular carcinoma (HCC) patients and whether their distribution during treatment courses is associated with clinical characteristics. METHODS: Subsequent to few enrichment steps, cell suspensions were spun onto glass slides and further characterized using multi-immunofluorescence staining. All non-hematopoietic cells were counted and individual cell profiles were analyzed per patient and treatment. RESULTS:We detected a remarkable variation of cells with epithelial, mesenchymal, liver-specific, and mixed characteristics and different size ranges. The distribution of these subgroups varied significantly between different patient groups and was associated with therapeutic outcome. Kaplan-Meier logrank test showed that a change in the ratio of epithelial to mesenchymal cells was associated with longer median time to progression (1 vs 15 months; P = .03; hazard ratio = 0.18; 95%confidence interval = 0.01-2.75). CONCLUSIONS: Our data suggest that different CTC populations are identifiable in peripheral blood of HCC patients and, for the first time in HCC, that these individual cell type profiles may have distinct clinical implications. The further characterization and analysis of patients in this ongoing study seems to be warranted

Evaluation of the biomarker candidate MFAP4 for non-invasive assessment of hepatic fibrosis in hepatitis C patients

$\textbf {Background:}$ The human microfibrillar-associated protein 4 (MFAP4) is located to extracellular matrix fibers and plays a role in disease-related tissue remodeling. Previously, we identified MFAP4 as a serum biomarker candidate for hepatic fibrosis and cirrhosis in hepatitis C patients. The aim of the present study was to elucidate the potential of MFAP4 as biomarker for hepatic fibrosis with a focus on the differentiation of no to moderate (F0–F2) and severe fibrosis stages and cirrhosis (F3 and F4, Desmet-Scheuer scoring system). $\textbf {Methods:}$ MFAP4 levels were measured using an AlphaLISA immunoassay in a retrospective study including $\it n$ = 542 hepatitis C patients. We applied a univariate logistic regression model based on MFAP4 serum levels and furthermore derived a multivariate model including also age and gender. Youden-optimal cutoffs for binary classification were determined for both models without restrictions and considering a lower limit of 80% sensitivity (correct classification of F3 and F4), respectively. To assess the generalization error, leave-one-out cross validation (LOOCV ) was performed. $\textbf {Results:}$ MFAP4 levels were shown to differ between no to moderate fibrosis stages F0–F2 and severe stages (F3 and F4) with high statistical significance ($\it t$ test on log scale, $\it p$ value $<2.2·10^{-16}$). In the LOOCV, the univariate classification resulted in 85.8% sensitivity and 54.9% specificity while the multivariate model yielded 81.3% sensitivity and 61.5% specificity (restricted approaches). $\textbf {Conclusions:}$ We confirmed the applicability of MFAP4 as a novel serum biomarker for assessment of hepatic fibrosis and identification of high-risk patients with severe fibrosis stages in hepatitis C. The combination of MFAP4 with existing tests might lead to a more accurate non-invasive diagnosis of hepatic fibrosis and allow a cost-effective disease management in the era of new direct acting antivirals

Development of data representation standards by the human proteome organization proteomics standards initiative

Objective To describe the goals of the Proteomics Standards Initiative (PSI) of the Human Proteome Organization, the methods that the PSI has employed to create data standards, the resulting output of the PSI, lessons learned from the PSI's evolution, and future directions and synergies for the group. Materials and Methods The PSI has 5 categories of deliverables that have guided the group. These are minimum information guidelines, data formats, controlled vocabularies, resources and software tools, and dissemination activities. These deliverables are produced via the leadership and working group organization of the initiative, driven by frequent workshops and ongoing communication within the working groups. Official standards are subjected to a rigorous document process that includes several levels of peer review prior to release. Results We have produced and published minimum information guidelines describing what information should be provided when making data public, either via public repositories or other means. The PSI has produced a series of standard formats covering mass spectrometer input, mass spectrometer output, results of informatics analysis (both qualitative and quantitative analyses), reports of molecular interaction data, and gel electrophoresis analyses. We have produced controlled vocabularies that ensure that concepts are uniformly annotated in the formats and engaged in extensive software development and dissemination efforts so that the standards can efficiently be used by the community. Conclusion In its first dozen years of operation, the PSI has produced many standards that have accelerated the field of proteomics by facilitating data exchange and deposition to data repositories. We look to the future to continue developing standards for new proteomics technologies and workflows and mechanisms for integration with other omics data types. Our products facilitate the translation of genomics and proteomics findings to clinical and biological phenotypes. The PSI website can be accessed at http://www.psidev.inf

Toward a successful clinical neuroproteomics : the 11th HUPO Brain Proteome Project Workshop 3 March, 2009, Kolymbari, Greece

The HUPO Brain Proteome Project (HUPO BPP) held its 11th workshop in Kolymbari on March 3, 2009. The principal aim of this project is to obtain a better understanding of neurodiseases and ageing, with the ultimate objective of discovering prognostic and diagnostic biomarkers, in addition to the development of novel diagnostic techniques and new medications. The attendees came together to discuss sub-project progress in the clinical neuroproteomics of human or mouse models of Alzheimer's and Parkinson's disease, and to define the needs and guidelines required for more advanced proteomics approaches. With the election of new steering committees, the members of the HUPO BPP elaborated an actual plan promoting activities, outcomes, and future directions of the HUPO BPP to acquire new funding and new participants

Spatial proteomics revealed a CX3CL1-dependent crosstalk between the urothelium and relocated macrophages through IL-6 during an acute bacterial infection in the urinary bladder

The urothelium of the urinary bladder represents the first line of defense. However, uropathogenic E. coli (UPEC) damage the urothelium and cause acute bacterial infection. Here, we demonstrate the crosstalk between macrophages and the urothelium stimulating macrophage migration into the urothelium. Using spatial proteomics by MALDI-MSI and LC-MS/MS, a novel algorithm revealed the spatial activation and migration of macrophages. Analysis of the spatial proteome unravelled the coexpression of Myo9b and F4/80 in the infected urothelium, indicating that macrophages have entered the urothelium upon infection. Immunofluorescence microscopy additionally indicated that intraurothelial macrophages phagocytosed UPEC and eliminated neutrophils. Further analysis of the spatial proteome by MALDI-MSI showed strong expression of IL-6 in the urothelium and local inhibition of this molecule reduced macrophage migration into the urothelium and aggravated the infection. After IL-6 inhibition, the expression of matrix metalloproteinases and chemokines, such as CX3CL1 was reduced in the urothelium. Accordingly, macrophage migration into the urothelium was diminished in the absence of CX3CL1 signaling in Cx3cr1gfp/gfp mice. Conclusively, this study describes the crosstalk between the infected urothelium and macrophages through IL-6-induced CX3CL1 expression. Such crosstalk facilitates the relocation of macrophages into the urothelium and reduces bacterial burden in the urinary bladder. © 2020, The Author(s)

A community proposal to integrate proteomics activities in ELIXIR

Computational approaches have been major drivers behind the progress of proteomics in recent years. The aim of this white paper is to provide a framework for integrating computational proteomics into ELIXIR in the near future, and thus to broaden the portfolio of omics technologies supported by this European distributed infrastructure. This white paper is the direct result of a strategy meeting on ‘The Future of Proteomics in ELIXIR’ that took place in March 2017 in Tübingen (Germany), and involved representatives of eleven ELIXIR nodes.   These discussions led to a list of priority areas in computational proteomics that would complement existing activities and close gaps in the portfolio of tools and services offered by ELIXIR so far. We provide some suggestions on how these activities could be integrated into ELIXIR’s existing platforms, and how it could lead to a new ELIXIR use case in proteomics. We also highlight connections to the related field of metabolomics, where similar activities are ongoing. This white paper could thus serve as a starting point for the integration of computational proteomics into ELIXIR. Over the next few months we will be working closely with all stakeholders involved, and in particular with other representatives of the proteomics community, to further refine this paper