scispace - formally typeset
Search or ask a question
Institution

University of Würzburg

EducationWurzburg, Bayern, Germany
About: University of Würzburg is a education organization based out in Wurzburg, Bayern, Germany. It is known for research contribution in the topics: Population & Gene. The organization has 31437 authors who have published 62203 publications receiving 2337033 citations. The organization is also known as: Julius-Maximilians-Universität Würzburg & Würzburg University.


Papers
More filters
Journal ArticleDOI
TL;DR: A comparison of the structure, function, regulation, and impact on host cells of the type III secretion systems in the animal pathogens Yersinia spp.
Abstract: Various gram-negative animal and plant pathogens use a novel, sec-independent protein secretion system as a basic virulence mechanism. It is becoming increasingly clear that these so-called type III secretion systems inject (translocate) proteins into the cytosol of eukaryotic cells, where the translocated proteins facilitate bacterial pathogenesis by specifically interfering with host cell signal transduction and other cellular processes. Accordingly, some type III secretion systems are activated by bacterial contact with host cell surfaces. Individual type III secretion systems direct the secretion and translocation of a variety of unrelated proteins, which account for species-specific pathogenesis phenotypes. In contrast to the secreted virulence factors, most of the 15 to 20 membrane-associated proteins which constitute the type III secretion apparatus are conserved among different pathogens. Most of the inner membrane components of the type III secretion apparatus show additional homologies to flagellar biosynthetic proteins, while a conserved outer membrane factor is similar to secretins from type II and other secretion pathways. Structurally conserved chaperones which specifically bind to individual secreted proteins play an important role in type III protein secretion, apparently by preventing premature interactions of the secreted factors with other proteins. The genes encoding type III secretion systems are clustered, and various pieces of evidence suggest that these systems have been acquired by horizontal genetic transfer during evolution. Expression of type III secretion systems is coordinately regulated in response to host environmental stimuli by networks of transcription factors. This review comprises a comparison of the structure, function, regulation, and impact on host cells of the type III secretion systems in the animal pathogens Yersinia spp., Pseudomonas aeruginosa, Shigella flexneri, Salmonella typhimurium, enteropathogenic Escherichia coli, and Chlamydia spp. and the plant pathogens Pseudomonas syringae, Erwinia spp., Ralstonia solanacearum, Xanthomonas campestris, and Rhizobium spp.

2,456 citations

Journal ArticleDOI
TL;DR: A multicenter, randomized, double-blind, prospective study of 1255 subjects with type 2 diabetes mellitus receiving maintenance hemodialysis who were randomly assigned to receive 20 mg of atorvastatin per day or matching placebo found the median level of low-density lipoprotein cholesterol was reduced.
Abstract: Background Statins reduce the incidence of cardiovascular events in persons with type 2 diabetes mellitus. However, the benefit of statins in such patients receiving hemodialysis, who are at high risk for cardiovascular disease and death, has not been examined. Methods We conducted a multicenter, randomized, double-blind, prospective study of 1255 subjects with type 2 diabetes mellitus receiving maintenance hemodialysis who were randomly assigned to receive 20 mg of atorvastatin per day or matching placebo. The primary end point was a composite of death from cardiac causes, nonfatal myocardial infarction, and stroke. Secondary end points included death from all causes and all cardiac and cerebrovascular events combined. Results After four weeks of treatment, the median level of low-density lipoprotein cholesterol was reduced by 42 percent among patients receiving atorvastatin, and among those receiving placebo it was reduced by 1.3 percent. During a median follow-up period of four years, 469 patients (37 ...

2,340 citations

Journal ArticleDOI
31 Mar 2011-Nature
TL;DR: In this article, tracrRNA, a trans-encoded small RNA with 24-nucleotide complementarity to the repeat regions of crRNA precursor transcripts, is shown to direct the maturation of crRNAs by the activities of the widely conserved endogenous RNase III and the CRISPR-associated Csn1 protein.
Abstract: CRISPR/Cas systems constitute a widespread class of immunity systems that protect bacteria and archaea against phages and plasmids, and commonly use repeat/spacer-derived short crRNAs to silence foreign nucleic acids in a sequence-specific manner. Although the maturation of crRNAs represents a key event in CRISPR activation, the responsible endoribonucleases (CasE, Cas6, Csy4) are missing in many CRISPR/Cas subtypes. Here, differential RNA sequencing of the human pathogen Streptococcus pyogenes uncovered tracrRNA, a trans-encoded small RNA with 24-nucleotide complementarity to the repeat regions of crRNA precursor transcripts. We show that tracrRNA directs the maturation of crRNAs by the activities of the widely conserved endogenous RNase III and the CRISPR-associated Csn1 protein; all these components are essential to protect S. pyogenes against prophage-derived DNA. Our study reveals a novel pathway of small guide RNA maturation and the first example of a host factor (RNase III) required for bacterial RNA-mediated immunity against invaders.

2,336 citations

Journal ArticleDOI
18 Jun 1999-Science
TL;DR: In this paper, the authors show that the enhanced aerodynamic performance of insects results from an interaction of three distinct yet interactive mechanisms: delayed stall, rotational circulation, and wake capture.
Abstract: The enhanced aerodynamic performance of insects results from an interaction of three distinct yet interactive mechanisms: delayed stall, rotational circulation, and wake capture. Delayed stall functions during the translational portions of the stroke, when the wings sweep through the air with a large angle of attack. In contrast, rotational circulation and wake capture generate aerodynamic forces during stroke reversals, when the wings rapidly rotate and change direction. In addition to contributing to the lift required to keep an insect aloft, these two rotational mechanisms provide a potent means by which the animal can modulate the direction and magnitude of flight forces during steering maneuvers. A comprehensive theory incorporating both translational and rotational mechanisms may explain the diverse patterns of wing motion displayed by different species of insects.

2,246 citations

Journal ArticleDOI
Lorenzo Galluzzi1, Lorenzo Galluzzi2, Lorenzo Galluzzi3, Stuart A. Aaronson4, John M. Abrams5, Emad S. Alnemri6, David W. Andrews7, Eric H. Baehrecke8, Nicolas G. Bazan9, Mikhail V. Blagosklonny10, Klas Blomgren11, Klas Blomgren12, Christoph Borner13, Dale E. Bredesen14, Dale E. Bredesen15, Catherine Brenner16, Maria Castedo3, Maria Castedo2, Maria Castedo1, John A. Cidlowski17, Aaron Ciechanover18, Gerald M. Cohen19, V De Laurenzi20, R De Maria21, Mohanish Deshmukh22, Brian David Dynlacht23, Wafik S. El-Deiry24, Richard A. Flavell25, Richard A. Flavell26, Simone Fulda27, Carmen Garrido28, Carmen Garrido3, Pierre Golstein29, Pierre Golstein3, Pierre Golstein16, Marie-Lise Gougeon30, Douglas R. Green, Hinrich Gronemeyer31, Hinrich Gronemeyer3, Hinrich Gronemeyer16, György Hajnóczky6, J. M. Hardwick32, Michael O. Hengartner33, Hidenori Ichijo34, Marja Jäättelä, Oliver Kepp2, Oliver Kepp1, Oliver Kepp3, Adi Kimchi35, Daniel J. Klionsky36, Richard A. Knight37, Sally Kornbluth38, Sharad Kumar, Beth Levine5, Beth Levine25, Stuart A. Lipton, Enrico Lugli17, Frank Madeo39, Walter Malorni21, Jean-Christophe Marine40, Seamus J. Martin41, Jan Paul Medema42, Patrick Mehlen43, Patrick Mehlen16, Gerry Melino44, Gerry Melino19, Ute M. Moll45, Ute M. Moll46, Eugenia Morselli3, Eugenia Morselli2, Eugenia Morselli1, Shigekazu Nagata47, Donald W. Nicholson48, Pierluigi Nicotera19, Gabriel Núñez36, Moshe Oren35, Josef M. Penninger49, Shazib Pervaiz50, Marcus E. Peter51, Mauro Piacentini44, Jochen H. M. Prehn52, Hamsa Puthalakath53, Gabriel A. Rabinovich54, Rosario Rizzuto55, Cecília M. P. Rodrigues56, David C. Rubinsztein57, Thomas Rudel58, Luca Scorrano59, Hans-Uwe Simon60, Hermann Steller25, Hermann Steller61, J. Tschopp62, Yoshihide Tsujimoto63, Peter Vandenabeele64, Ilio Vitale3, Ilio Vitale1, Ilio Vitale2, Karen H. Vousden65, Richard J. Youle17, Junying Yuan66, Boris Zhivotovsky67, Guido Kroemer3, Guido Kroemer2, Guido Kroemer1 
Institut Gustave Roussy1, University of Paris-Sud2, French Institute of Health and Medical Research3, Icahn School of Medicine at Mount Sinai4, University of Texas Southwestern Medical Center5, Thomas Jefferson University6, McMaster University7, University of Massachusetts Medical School8, LSU Health Sciences Center New Orleans9, Roswell Park Cancer Institute10, Boston Children's Hospital11, University of Gothenburg12, University of Freiburg13, University of California, San Francisco14, Buck Institute for Research on Aging15, Centre national de la recherche scientifique16, National Institutes of Health17, Technion – Israel Institute of Technology18, University of Leicester19, University of Chieti-Pescara20, Istituto Superiore di Sanità21, University of North Carolina at Chapel Hill22, New York University23, University of Pennsylvania24, Howard Hughes Medical Institute25, Yale University26, University of Ulm27, University of Burgundy28, Aix-Marseille University29, Pasteur Institute30, University of Strasbourg31, Johns Hopkins University32, University of Zurich33, University of Tokyo34, Weizmann Institute of Science35, University of Michigan36, University College London37, Duke University38, University of Graz39, Ghent University40, Trinity College, Dublin41, University of Amsterdam42, University of Lyon43, University of Rome Tor Vergata44, Stony Brook University45, University of Göttingen46, Kyoto University47, Merck & Co.48, Austrian Academy of Sciences49, National University of Singapore50, University of Chicago51, Royal College of Surgeons in Ireland52, La Trobe University53, University of Buenos Aires54, University of Padua55, University of Lisbon56, University of Cambridge57, University of Würzburg58, University of Geneva59, University of Bern60, Rockefeller University61, University of Lausanne62, Osaka University63, University of California, San Diego64, University of Glasgow65, Harvard University66, Karolinska Institutet67
TL;DR: A nonexhaustive comparison of methods to detect cell death with apoptotic or nonapoptotic morphologies, their advantages and pitfalls is provided and the importance of performing multiple, methodologically unrelated assays to quantify dying and dead cells is emphasized.
Abstract: Cell death is essential for a plethora of physiological processes, and its deregulation characterizes numerous human diseases Thus, the in-depth investigation of cell death and its mechanisms constitutes a formidable challenge for fundamental and applied biomedical research, and has tremendous implications for the development of novel therapeutic strategies It is, therefore, of utmost importance to standardize the experimental procedures that identify dying and dead cells in cell cultures and/or in tissues, from model organisms and/or humans, in healthy and/or pathological scenarios Thus far, dozens of methods have been proposed to quantify cell death-related parameters However, no guidelines exist regarding their use and interpretation, and nobody has thoroughly annotated the experimental settings for which each of these techniques is most appropriate Here, we provide a nonexhaustive comparison of methods to detect cell death with apoptotic or nonapoptotic morphologies, their advantages and pitfalls These guidelines are intended for investigators who study cell death, as well as for reviewers who need to constructively critique scientific reports that deal with cellular demise Given the difficulties in determining the exact number of cells that have passed the point-of-no-return of the signaling cascades leading to cell death, we emphasize the importance of performing multiple, methodologically unrelated assays to quantify dying and dead cells

2,218 citations


Authors

Showing all 31653 results

NameH-indexPapersCitations
Peer Bork206697245427
Cyrus Cooper2041869206782
D. M. Strom1763167194314
George P. Chrousos1691612120752
David A. Bennett1671142109844
Marc W. Kirschner162457102145
Josef M. Penninger154700107295
William A. Catterall15453683561
Rui Zhang1512625107917
Niels Birbaumer14283577853
Kim Nasmyth14229459231
James J. Gross139529100206
Michael Schmitt1342007114667
Jean-Luc Brédas134102685803
Alexander Schmidt134118583879
Network Information
Related Institutions (5)
Ludwig Maximilian University of Munich
161.5K papers, 5.7M citations

95% related

Utrecht University
139.3K papers, 6.2M citations

94% related

University of Pittsburgh
201K papers, 9.6M citations

94% related

University of California, San Diego
204.5K papers, 12.3M citations

94% related

Duke University
200.3K papers, 10.7M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023111
2022398
20212,960
20202,899
20192,714
20182,447