scispace - formally typeset
Search or ask a question
Institution

Martin Luther University of Halle-Wittenberg

EducationHalle, Germany
About: Martin Luther University of Halle-Wittenberg is a education organization based out in Halle, Germany. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 20232 authors who have published 38773 publications receiving 965004 citations. The organization is also known as: MLU & University of Wittenberg.


Papers
More filters
Journal ArticleDOI
TL;DR: The libxc library as discussed by the authors is a library of exchange-correlation functionals for density-functional theory, which includes around 400 functions for the exchange, correlation, and the kinetic energy spanning more than 50 years of research.

356 citations

Journal ArticleDOI
TL;DR: It has been demonstrated that ER retention is essential for the accumulation of sufficient scFv to bind high concentrations of ABA in the transgenic seeds and seed-specific expression of high amounts of anti-ABA-scFv's at a defined time of seed-development induced a developmental switch from seed ripening to vegetative growth.
Abstract: Expression and stability of immunoglobulins in transgenic plants have been investigated and optimized by accumulation in different cellular compartments as cytosol, apoplastic space and endoplasmic reticulum (ER) as will be discussed in this review. In several cases described the highest accumulation of complete active antibodies was achieved by targeting into the apoplastic space. High-level expression of active recombinant single-chain Fv antibodies (scFv's) was obtained by retention of these proteins in the lumen of the endoplasmic reticulum. This has been shown for leaves and seeds of transgenic tobacco as well as for potato tubers. Transgenic tobacco seeds, potato tubers and tobacco leaves can facilitate stable storage of scFv's accumulated in the ER over an extended (seeds, tubers) or a short (leaves) period of time. The expression of specific scFv's in different plant species, plant organs and cellular compartments offers the possibility of blocking regulatory factors or pathogens specifically. Examples are scFv's expressed in the cytosol and the apoplastic space of transgenic plant cells modulating the infection process of plant viruses and a cytosolically expressed scFv that influenced the activity of phytochrome A protein. The immunomodulation approach has been shown to be also applicable for investigating the action of the phyto-hormone abscisic acid (ABA). High-level accumulation of specific anti-ABA scFv's in the ER of all leaf cells has been used to block the influence of ABA on the stomatal functions. Seed-specific expression of high amounts of anti-ABA-scFv's at a defined time of seed-development induced a developmental switch from seed ripening to vegetative growth. It has been demonstrated that ER retention is essential for the accumulation of sufficient scFv to bind high concentrations of ABA in the transgenic seeds.

356 citations

Journal ArticleDOI
TL;DR: It is concluded that exploiting intron position conservation improves homology-based gene prediction, and GeMoMa is made freely available as command-line tool and Galaxy integration.
Abstract: Annotation of protein-coding genes is very important in bioinformatics and biology and has a decisive influence on many downstream analyses. Homology-based gene prediction programs allow for transferring knowledge about protein-coding genes from an annotated organism to an organism of interest.Here, we present a homology-based gene prediction program called GeMoMa. GeMoMa utilizes the conservation of intron positions within genes to predict related genes in other organisms. We assess the performance of GeMoMa and compare it with state-of-the-art competitors on plant and animal genomes using an extended best reciprocal hit approach. We find that GeMoMa often makes more precise predictions than its competitors yielding a substantially increased number of correct transcripts. Subsequently, we exemplarily validate GeMoMa predictions using Sanger sequencing. Finally, we use RNA-seq data to compare the predictions of homology-based gene prediction programs, and find again that GeMoMa performs well.Hence, we conclude that exploiting intron position conservation improves homology-based gene prediction, and we make GeMoMa freely available as command-line tool and Galaxy integration.

353 citations

Journal ArticleDOI
30 Sep 2009-PLOS ONE
TL;DR: Masitinib is a potent and selective tyrosine kinase inhibitor targeting KIT that is active, orally bioavailable in vivo, and has low toxicity.
Abstract: Background: The stem cell factor receptor, KIT, is a target for the treatment of cancer, mastocytosis, and inflammatory diseases. Here, we characterise the in vitro and in vivo profiles of masitinib (AB1010), a novel phenylaminothiazole-type tyrosine kinase inhibitor that targets KIT. Methodology/Principal Findings: In vitro, masitinib had greater activity and selectivity against KIT than imatinib, inhibiting recombinant human wild-type KIT with an half inhibitory concentration (IC50) of 200 ± 40 nM and blocking stem cell factor-induced proliferation and KIT tyrosine phosphorylation with an IC50 of 150 ± 80 nM in Ba/F3 cells expressing human or mouse wild-type KIT. Masitinib also potently inhibited recombinant PDGFR and the intracellular kinase Lyn, and to a lesser extent, fibroblast growth factor receptor 3. In contrast, masitinib demonstrated weak inhibition of ABL and c-Fms and was inactive against a variety of other tyrosine and serine/threonine kinases. This highly selective nature of masitinib suggests that it will exhibit a better safety profile than other tyrosine kinase inhibitors; indeed, masitinib-induced cardiotoxicity or genotoxicity has not been observed in animal studies. Molecular modelling and kinetic analysis suggest a different mode of binding than imatinib, and masitinib more strongly inhibited degranulation, cytokine production, and bone marrow mast cell migration than imatinib. Furthermore, masitinib potently inhibited human and murine KIT with activating mutations in the juxtamembrane domain. In vivo, masitinib blocked tumour growth in mice with subcutaneous grafts of Ba/F3 cells expressing a juxtamembrane KIT mutant. Conclusions: Masitinib is a potent and selective tyrosine kinase inhibitor targeting KIT that is active, orally bioavailable in vivo, and has low toxicity

352 citations


Authors

Showing all 20466 results

NameH-indexPapersCitations
Niels Birbaumer14283577853
Michael Schmitt1342007114667
Niels E. Skakkebæk12759659925
Stefan D. Anker117415104945
Pedro W. Crous11580951925
Eric Verdin11537047971
Bernd Nilius11249644812
Josep Tabernero11180368982
Hans-Dieter Volk10778446622
Dan Rujescu10655260406
John I. Nurnberger10552251402
Ulrich Gösele10260346223
Wolfgang J. Parak10246943307
Martin F. Bachmann10041534124
Munir Pirmohamed9767539822
Network Information
Related Institutions (5)
University of Göttingen
86.3K papers, 3M citations

95% related

University of Freiburg
77.2K papers, 2.8M citations

94% related

Ludwig Maximilian University of Munich
161.5K papers, 5.7M citations

94% related

University of Tübingen
84.1K papers, 3M citations

93% related

University of Bonn
86.4K papers, 3.1M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202397
2022331
20212,038
20202,007
20191,617
20181,604