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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
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Journal ArticleDOI
TL;DR: It is shown that Arabidopsis thaliana nonsymbiotic hemoglobin AHb1 scavenges NO through production of S-nitrosohemoglobin and reduces NO emission under hypoxic stress, indicating its role in NO detoxification.
Abstract: Nitric oxide (NO) is a widespread signaling molecule, and numerous targets of its action exist in plants. Whereas the activity of NO in erythrocytes, microorganisms, and invertebrates has been shown to be regulated by several hemoglobins, the function of plant hemoglobins in NO detoxification has not yet been elucidated. Here, we show that Arabidopsis thaliana nonsymbiotic hemoglobin AHb1 scavenges NO through production of S-nitrosohemoglobin and reduces NO emission under hypoxic stress, indicating its role in NO detoxification. However, AHb1 does not affect NO-mediated hypersensitive cell death in response to avirulent Pseudomonas syringae, suggesting that it is not involved in the removal of NO bursts originated from acute responses when NO mediates crucial defense signaling functions.

356 citations

Journal ArticleDOI
Timothy R. Rebbeck1, Nandita Mitra1, Fei Wan1, Olga M. Sinilnikova2  +258 moreInstitutions (101)
07 Apr 2015-JAMA
TL;DR: In this paper, the relationship between specific mutations in BRCA1 and cancer risk has been investigated and limited information about the relationship has been available about specific mutations for specific mutations.
Abstract: Limited information about the relationship between specific mutations in BRCA1 or BRCA2 (BRCA1/2) and cancer risk exists.

355 citations

Journal ArticleDOI
TL;DR: It is demonstrated that the incorporation of these coil parameters into a localized Fourier transform allows reconstruction of full FOV images in each of the component coils from data sets acquired with a reduced number of phase encoding steps compared to conventional imaging techniques.
Abstract: In this study a novel partially parallel acquisition method is presented, which can be used to accelerate image acquisition using an RF coil array for spatial encoding. In this technique, Parallel Imaging with Localized Sensitivities (PILS), it is assumed that the individual coils in the array have localized sensitivity patterns, in that their sensitivity is restricted to a finite region of space. Within the PILS model, a detailed, highly accurate RF field map is not needed prior to reconstruction. In PILS, each coil in the array is fully characterized by only two parameters: the center of coil's sensitive region in the FOV and the width of the sensitive region around this center. In this study, it is demonstrated that the incorporation of these coil parameters into a localized Fourier transform allows reconstruction of full FOV images in each of the component coils from data sets acquired with a reduced number of phase encoding steps compared to conventional imaging techniques. After the introduction of the PILS technique, primary focus is given to issues related to the practical implementation of PILS, including coil parameter determination and the SNR and artifact power in the resulting images. Finally, in vivo PILS images are shown which demonstrate the utility of the technique.

354 citations

Journal ArticleDOI
TL;DR: In this paper, a panel of experts of the European Fungal Infection Study Group (EFISG) undertook a data review and compiled guidelines for the clinical utility and accuracy of different diagnostic tests and procedures for detection of Candida infections.

354 citations

Journal ArticleDOI
TL;DR: Expression of HAG1/MYB28 was significantly induced by glucose, indicating a novel transcriptional regulatory mechanism for the integration of carbohydrate availability upon biotic challenge, and it is hypothesized that H AG1/ MYB28 is a novel regulator of aliphatic glucosinolate biosynthesis that controls the response to biotic challenges.
Abstract: Methionine-derived glucosinolates belong to a class of plant secondary metabolites that serve as chemoprotective compounds in plant biotic defense reactions and also exhibit strong anticancerogenic properties beneficial to human health. In a screen for the trans-activation potential of various transcription factors toward glucosinolate biosynthetic genes, we could identify the HAG1 (HIGH ALIPHATIC GLUCOSINOLATE 1, also referred to as MYB28) gene as a positive regulator of aliphatic methionine-derived glucosinolates. The content of aliphatic glucosinolates as well as transcript levels of aliphatic glucosinolate biosynthetic genes were elevated in gain-of-function mutants and decreased in HAG1 RNAi knock-down mutants. Pro(HAG1):GUS expression analysis revealed strong HAG1 promoter activity in generative organs and mature leaves of A. thaliana plants, the main sites of accumulation of aliphatic glucosinolates. Mechanical stimuli such as touch or wounding transiently induced HAG1/MYB28 expression in inflorescences of flowering plants, and HAG1/MYB28 over-expression reduced insect performance as revealed by weight gain assays with the generalist lepidopteran herbivore Spodoptera exigua. Expression of HAG1/MYB28 was significantly induced by glucose, indicating a novel transcriptional regulatory mechanism for the integration of carbohydrate availability upon biotic challenge. We hypothesize that HAG1/MYB28 is a novel regulator of aliphatic glucosinolate biosynthesis that controls the response to biotic challenges.

354 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023111
2022398
20212,960
20202,899
20192,714
20182,447