Institution
University of Göttingen
Education•Göttingen, Germany•
About: University of Göttingen is a education organization based out in Göttingen, Germany. It is known for research contribution in the topics: Population & Gene. The organization has 43851 authors who have published 86318 publications receiving 3010295 citations. The organization is also known as: Georg-August-Universität Göttingen & Universität Göttingen.
Topics: Population, Gene, Species richness, Context (language use), Catalysis
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Common and organ-specific pathways of tissue fibrosis are reviewed, hoping that an understanding of common fibrosis pathways will lead to development of antifibrotic therapies that are effective in all of these tissues in the future.
Abstract: Fibrosis is a pathological scarring process that leads to destruction of organ architecture and impairment of organ function. Chronic loss of organ function in most organs, including bone marrow, heart, intestine, kidney, liver, lung, and skin, is associated with fibrosis, contributing to an estimated one third of natural deaths worldwide. Effective therapies to prevent or to even reverse existing fibrotic lesions are not yet available in any organ. There is hope that an understanding of common fibrosis pathways will lead to development of antifibrotic therapies that are effective in all of these tissues in the future. Here we review common and organ-specific pathways of tissue fibrosis.
361 citations
••
TL;DR: In this article, the authors presented the electron and photon energy calibration achieved with the ATLAS detector using about 25 fb(-1) of LHC proton-proton collision data taken at center-of-mass energies of root s = 7 and 8 TeV.
Abstract: This paper presents the electron and photon energy calibration achieved with the ATLAS detector using about 25 fb(-1) of LHC proton-proton collision data taken at centre-of-mass energies of root s = 7 and 8 TeV. The reconstruction of electron and photon energies is optimised using multivariate algorithms. The response of the calorimeter layers is equalised in data and simulation, and the longitudinal profile of the electromagnetic showers is exploited to estimate the passive material in front of the calorimeter and reoptimise the detector simulation. After all corrections, the Z resonance is used to set the absolute energy scale. For electrons from Z decays, the achieved calibration is typically accurate to 0.05% in most of the detector acceptance, rising to 0.2% in regions with large amounts of passive material. The remaining inaccuracy is less than 0.2-1% for electrons with a transverse energy of 10 GeV, and is on average 0.3% for photons. The detector resolution is determined with a relative inaccuracy of less than 10% for electrons and photons up to 60 GeV transverse energy, rising to 40% for transverse energies above 500 GeV.
361 citations
••
TL;DR: In this paper, the authors consider error estimates for interpolation by a special class of compactly supported radial basis functions, which consist of a univariate polynomial within their support and are of minimal degree depending on space dimension and smoothness.
361 citations
••
TL;DR: There is little scientific evidence about the benefit of PRP in skeletal reconstructive and preprosthetic surgery yet and it is unlikely that peri-implant bone healing or regeneration of local bone into alloplastic material by the application ofPRP alone will be significantly enhanced.
360 citations
••
TL;DR: This strain's genome structure has been analyzed by sequence context screening of tRNA genes as a potential indication of chromosomal integration of horizontally acquired DNA, sequence analysis of 280 kb of genomic islands (GEIs) coding for important fitness factors, and comparison of Nissle 1917 genome content with that of other E. coli strains by DNA-DNA hybridization.
Abstract: Nonpathogenic Escherichia coli strain Nissle 1917 (O6:K5:H1) is used as a probiotic agent in medicine, mainly for the treatment of various gastroenterological diseases. To gain insight on the genetic level into its properties of colonization and commensalism, this strain's genome structure has been analyzed by three approaches: (i) sequence context screening of tRNA genes as a potential indication of chromosomal integration of horizontally acquired DNA, (ii) sequence analysis of 280 kb of genomic islands (GEIs) coding for important fitness factors, and (iii) comparison of Nissle 1917 genome content with that of other E. coli strains by DNA-DNA hybridization. PCR-based screening of 324 nonpathogenic and pathogenic E. coli isolates of different origins revealed that some chromosomal regions are frequently detectable in nonpathogenic E. coli and also among extraintestinal and intestinal pathogenic strains. Many known fitness factor determinants of strain Nissle 1917 are localized on four GEIs which have been partially sequenced and analyzed. Comparison of these data with the available knowledge of the genome structure of E. coli K-12 strain MG1655 and of uropathogenic E. coli O6 strains CFT073 and 536 revealed structural similarities on the genomic level, especially between the E. coli O6 strains. The lack of defined virulence factors (i.e., alpha-hemolysin, P-fimbrial adhesins, and the semirough lipopolysaccharide phenotype) combined with the expression of fitness factors such as microcins, different iron uptake systems, adhesins, and proteases, which may support its survival and successful colonization of the human gut, most likely contributes to the probiotic character of E. coli strain Nissle 1917.
360 citations
Authors
Showing all 44172 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Gao | 168 | 2047 | 146301 |
J. S. Lange | 160 | 2083 | 145919 |
Jens J. Holst | 160 | 1536 | 107858 |
Hans Lassmann | 155 | 724 | 79933 |
Walter Paulus | 149 | 809 | 86252 |
Arnulf Quadt | 135 | 1409 | 123441 |
Elizaveta Shabalina | 133 | 1421 | 92273 |
Ernst Detlef Schulze | 133 | 670 | 69504 |
Mark Stitt | 132 | 456 | 60800 |
Meinrat O. Andreae | 131 | 700 | 72714 |
Teja Tscharntke | 130 | 520 | 70554 |
William C. Hahn | 130 | 448 | 72191 |
Vladimir Cindro | 129 | 1157 | 82000 |
Dave Britton | 129 | 1094 | 84187 |
Johannes Haller | 129 | 1178 | 84813 |