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Institution

Humboldt University of Berlin

EducationBerlin, Germany
About: Humboldt University of Berlin is a education organization based out in Berlin, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 33671 authors who have published 61781 publications receiving 1908102 citations. The organization is also known as: Humboldt-Universität zu Berlin & Universitas Humboldtiana Berolinensis.


Papers
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Journal ArticleDOI
TL;DR: The Bone Quality Framework is presented in this paper as a means of summarizing and explaining the determinants of bone strength, and can be understood as an umbrella term that describes the set of characteristics that influence bone strength and explains the interrelationships of these characteristics.

335 citations

Journal ArticleDOI
TL;DR: In this article, a photoactivated adenylyl cyclase (bPAC) was identified in the genome of the bacterium Beggiatoa and showed cyclase activity that was low in darkness but increased 300-fold in the light.

335 citations

Journal ArticleDOI
TL;DR: A genome-wide identification and comparison of the PPR genes of 3 organisms provides compelling evidence that one or more waves of retrotransposition were responsible for the expansion of thePPR gene family in flowering plants.
Abstract: Pentatricopeptide repeat (PPR) proteins form a huge family in plants (450 members in Arabidopsis and 477 in rice) defined by tandem repetitions of characteristic sequence motifs. Some of these proteins have been shown to play a role in posttranscriptional processes within organelles, and they are thought to be sequence-specific RNA-binding proteins. The origins of this family are obscure as they are lacking from almost all prokaryotes, and the spectacular expansion of the family in land plants is equally enigmatic. In this study, we investigate the growth of the family in plants by undertaking a genome-wide identification and comparison of the PPR genes of 3 organisms: the flowering plants Arabidopsis thaliana and Oryza sativa and the moss Physcomitrella patens. A large majority of the PPR genes in each of the flowering plants are intron less. In contrast, most of the 103 PPR genes in Physcomitrella are intron rich. A phylogenetic comparison of the PPR genes in all 3 species shows similarities between the intron-rich PPR genes in Physcomitrella and the few intron-rich PPR genes in higher plants. Intron-poor PPR genes in all 3 species also display a bias toward a position of their introns at their 5' ends. These results provide compelling evidence that one or more waves of retrotransposition were responsible for the expansion of the PPR gene family in flowering plants. The differing numbers of PPR proteins are highly correlated with differences in organellar RNA editing between the 3 species.

335 citations

Journal ArticleDOI
03 Jan 2020-Science
TL;DR: In these neurons, a class of calcium-mediated dendritic action potentials whose waveform and effects on neuronal output have not been previously described are discovered, which enabled the dendrites of individual human neocortical pyramidal neurons to classify linearly nonseparable inputs—a computation conventionally thought to require multilayered networks.
Abstract: The active electrical properties of dendrites shape neuronal input and output and are fundamental to brain function. However, our knowledge of active dendrites has been almost entirely acquired from studies of rodents. In this work, we investigated the dendrites of layer 2 and 3 (L2/3) pyramidal neurons of the human cerebral cortex ex vivo. In these neurons, we discovered a class of calcium-mediated dendritic action potentials (dCaAPs) whose waveform and effects on neuronal output have not been previously described. In contrast to typical all-or-none action potentials, dCaAPs were graded; their amplitudes were maximal for threshold-level stimuli but dampened for stronger stimuli. These dCaAPs enabled the dendrites of individual human neocortical pyramidal neurons to classify linearly nonseparable inputs-a computation conventionally thought to require multilayered networks.

335 citations


Authors

Showing all 34115 results

NameH-indexPapersCitations
Karl J. Friston2171267217169
Peer Bork206697245427
Raymond J. Dolan196919138540
Stefan Schreiber1781233138528
Andreas Pfeiffer1491756131080
Thomas Hebbeker1481984114004
Thomas Lohse1481237101631
Jean Bousquet145128896769
Hermann Kolanoski145127996152
Josh Moss139101989255
R. D. Kass1381920107907
W. Kozanecki138149899758
U. Mallik137162597439
C. Haber135150798014
Christophe Royon134145390249
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023208
2022747
20214,727
20204,083
20193,579
20183,143