Institution
Ghent University Hospital
Healthcare•Ghent, Belgium•
About: Ghent University Hospital is a healthcare organization based out in Ghent, Belgium. It is known for research contribution in the topics: Population & Medicine. The organization has 5564 authors who have published 13302 publications receiving 513571 citations. The organization is also known as: UZ Gent & University Hospital, Ghent.
Topics: Population, Medicine, Transplantation, Intensive care, Health care
Papers published on a yearly basis
Papers
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TL;DR: The normalization strategy presented here is a prerequisite for accurate RT-PCR expression profiling, which opens up the possibility of studying the biological relevance of small expression differences.
Abstract: Gene-expression analysis is increasingly important in biological research, with real-time reverse transcription PCR (RT-PCR) becoming the method of choice for high-throughput and accurate expression profiling of selected genes. Given the increased sensitivity, reproducibility and large dynamic range of this methodology, the requirements for a proper internal control gene for normalization have become increasingly stringent. Although housekeeping gene expression has been reported to vary considerably, no systematic survey has properly determined the errors related to the common practice of using only one control gene, nor presented an adequate way of working around this problem. We outline a robust and innovative strategy to identify the most stably expressed control genes in a given set of tissues, and to determine the minimum number of genes required to calculate a reliable normalization factor. We have evaluated ten housekeeping genes from different abundance and functional classes in various human tissues, and demonstrated that the conventional use of a single gene for normalization leads to relatively large errors in a significant proportion of samples tested. The geometric mean of multiple carefully selected housekeeping genes was validated as an accurate normalization factor by analyzing publicly available microarray data. The normalization strategy presented here is a prerequisite for accurate RT-PCR expression profiling, which, among other things, opens up the possibility of studying the biological relevance of small expression differences.
18,261 citations
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TL;DR: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency.
Abstract: Background: Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader’s ability to evaluate critically the quality of the results presented or to repeat the experiments.
Content: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement.
Summary: Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.
12,469 citations
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University of Chicago1, University of Padua2, McGill University3, Johns Hopkins University4, French Institute of Health and Medical Research5, Uppsala University6, University of California, San Francisco7, MedStar Washington Hospital Center8, Katholieke Universiteit Leuven9, University of Liège10, Harvard University11, Ghent University Hospital12, University of Toronto13
TL;DR: This document provides updated normal values for all four cardiac chambers, including three-dimensional echocardiography and myocardial deformation, when possible, on the basis of considerably larger numbers of normal subjects, compiled from multiple databases.
Abstract: The rapid technological developments of the past decade and the changes in echocardiographic practice brought about by these developments have resulted in the need for updated recommendations to the previously published guidelines for cardiac chamber quantification, which was the goal of the joint writing group assembled by the American Society of Echocardiography and the European Association of Cardiovascular Imaging. This document provides updated normal values for all four cardiac chambers, including three-dimensional echocardiography and myocardial deformation, when possible, on the basis of considerably larger numbers of normal subjects, compiled from multiple databases. In addition, this document attempts to eliminate several minor discrepancies that existed between previously published guidelines.
11,568 citations
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University of Helsinki1, Semmelweis University2, University of Szeged3, Hungarian Academy of Sciences4, University of Palermo5, Institute of Molecular Pathology and Immunology of the University of Porto6, University of Porto7, Autonomous University of Barcelona8, Instituto de Biologia Molecular e Celular9, Ikerbasque10, Harvard University11, University of Duisburg-Essen12, Paracelsus Private Medical University of Salzburg13, Salk Institute for Biological Studies14, University of Colorado Denver15, Bilkent University16, Middle East Technical University17, Statens Serum Institut18, University of Southern Denmark19, Ghent University Hospital20, Oslo University Hospital21, University of Belgrade22, University of Ljubljana23, University of Mainz24, Finnish Red Cross25, University of Gothenburg26, Latvian Biomedical Research and Study centre27, University of Applied Sciences and Arts Northwestern Switzerland FHNW28, University of Valencia29, Centro Nacional de Investigaciones Cardiovasculares30, University of Freiburg31, Utrecht University32, Trinity College, Dublin33, University of Barcelona34, Catalan Institution for Research and Advanced Studies35, International University Of Catalonia36, Aarhus University Hospital37
TL;DR: A comprehensive overview of the current understanding of the physiological roles of EVs is provided, drawing on the unique EV expertise of academia-based scientists, clinicians and industry based in 27 European countries, the United States and Australia.
Abstract: In the past decade, extracellular vesicles (EVs) have been recognized as potent vehicles of intercellular communication, both in prokaryotes and eukaryotes. This is due to their capacity to transfer proteins, lipids and nucleic acids, thereby influencing various physiological and pathological functions of both recipient and parent cells. While intensive investigation has targeted the role of EVs in different pathological processes, for example, in cancer and autoimmune diseases, the EV-mediated maintenance of homeostasis and the regulation of physiological functions have remained less explored. Here, we provide a comprehensive overview of the current understanding of the physiological roles of EVs, which has been written by crowd-sourcing, drawing on the unique EV expertise of academia-based scientists, clinicians and industry based in 27 European countries, the United States and Australia. This review is intended to be of relevance to both researchers already working on EV biology and to newcomers who will encounter this universal cell biological system. Therefore, here we address the molecular contents and functions of EVs in various tissues and body fluids from cell systems to organs. We also review the physiological mechanisms of EVs in bacteria, lower eukaryotes and plants to highlight the functional uniformity of this emerging communication system.
3,690 citations
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TL;DR: Advanced and universally applicable models for relative quantification and inter-run calibration with proper error propagation along the entire calculation track are outlined in qBase, a free program for the management and automated analysis of qPCR data.
Abstract: Although quantitative PCR (qPCR) is becoming the method of choice for expression profiling of selected genes, accurate and straightforward processing of the raw measurements remains a major hurdle. Here we outline advanced and universally applicable models for relative quantification and inter-run calibration with proper error propagation along the entire calculation track. These models and algorithms are implemented in qBase, a free program for the management and automated analysis of qPCR data.
3,641 citations
Authors
Showing all 5676 results
Name | H-index | Papers | Citations |
---|---|---|---|
Stefan Schreiber | 178 | 1233 | 138528 |
Bart N. Lambrecht | 106 | 472 | 39885 |
Claus Bachert | 106 | 842 | 49557 |
Peter Vandamme | 105 | 653 | 46396 |
Raymond Vanholder | 103 | 841 | 40861 |
Jun Liu | 100 | 1165 | 73692 |
Geert Crombez | 91 | 483 | 32819 |
Maarten Baes | 91 | 598 | 30543 |
Jo Vandesompele | 88 | 383 | 59368 |
Dirk De Bacquer | 87 | 501 | 40737 |
Graziano Onder | 82 | 472 | 28014 |
Guy Brusselle | 81 | 494 | 25964 |
Marco Matucci-Cerinic | 81 | 708 | 29980 |
Stefaan C. De Smedt | 80 | 356 | 20927 |
Anne De Paepe | 80 | 334 | 45079 |