Biowissenschaften
Refine
Year of publication
- 2016 (111)
- 2020 (100)
- 2010 (96)
- 2009 (90)
- 2014 (86)
- 2017 (86)
- 2015 (82)
- 2019 (82)
- 2013 (79)
- 2007 (77)
- 2012 (77)
- 2018 (73)
- 2008 (69)
- 2011 (61)
- 2006 (52)
- 2021 (47)
- 2005 (41)
- 2003 (39)
- 2004 (34)
- 2002 (32)
- 2001 (24)
- 2023 (18)
- 2022 (17)
- 2024 (13)
- 2000 (10)
- 1999 (3)
- 1989 (2)
- 1996 (2)
- 1998 (2)
- 1904 (1)
- 1907 (1)
- 1915 (1)
- 1922 (1)
- 1952 (1)
- 1956 (1)
- 1957 (1)
- 1965 (1)
- 1966 (1)
- 1967 (1)
- 1975 (1)
- 1977 (1)
- 1981 (1)
- 1995 (1)
- 1997 (1)
Document Type
- Article (793)
- Doctoral Thesis (585)
- Book (48)
- Contribution to a Periodical (37)
- Preprint (25)
- Conference Proceeding (10)
- Diploma Thesis (10)
- diplomthesis (4)
- Review (4)
- Report (3)
Has Fulltext
- yes (1520)
Is part of the Bibliography
- no (1520)
Keywords
- aging (9)
- Podospora anserina (8)
- autophagy (8)
- Archaea (7)
- mitochondria (7)
- Westafrika (6)
- heat stress (6)
- phylogeny (6)
- Cell biology (5)
- Mitochondria (5)
Institute
- Biowissenschaften (1520)
- Senckenbergische Naturforschende Gesellschaft (114)
- Präsidium (100)
- Biodiversität und Klima Forschungszentrum (BiK-F) (97)
- Medizin (89)
- Institut für Ökologie, Evolution und Diversität (85)
- Exzellenzcluster Makromolekulare Komplexe (66)
- Biochemie und Chemie (56)
- Pharmazie (24)
- Informatik (21)
Rationale: The AMP-activated protein kinase (AMPK) is stimulated by hypoxia, and although the AMPKα1 catalytic subunit has been implicated in angiogenesis, little is known about the role played by the AMPKα2 subunit in vascular repair.
Objective: To determine the role of the AMPKα2 subunit in vascular repair.
Methods and Results: Recovery of blood flow after femoral artery ligation was impaired (>80%) in AMPKα2-/- versus wild-type mice, a phenotype reproduced in mice lacking AMPKα2 in myeloid cells (AMPKα2ΔMC). Three days after ligation, neutrophil infiltration into ischemic limbs of AMPKα2ΔMC mice was lower than that in wild-type mice despite being higher after 24 hours. Neutrophil survival in ischemic tissue is required to attract monocytes that contribute to the angiogenic response. Indeed, apoptosis was increased in hypoxic neutrophils from AMPKα2ΔMC mice, fewer monocytes were recruited, and gene array analysis revealed attenuated expression of proangiogenic proteins in ischemic AMPKα2ΔMC hindlimbs. Many angiogenic growth factors are regulated by hypoxia-inducible factor, and hypoxia-inducible factor-1α induction was attenuated in AMPKα2-deficient cells and accompanied by its enhanced hydroxylation. Also, fewer proteins were regulated by hypoxia in neutrophils from AMPKα2ΔMC mice. Mechanistically, isocitrate dehydrogenase expression and the production of α-ketoglutarate, which negatively regulate hypoxia-inducible factor-1α stability, were attenuated in neutrophils from wild-type mice but remained elevated in cells from AMPKα2ΔMC mice.
Conclusions: AMPKα2 regulates α-ketoglutarate generation, hypoxia-inducible factor-1α stability, and neutrophil survival, which in turn determine further myeloid cell recruitment and repair potential. The activation of AMPKα2 in neutrophils is a decisive event in the initiation of vascular repair after ischemia.
Neuronale Repräsentation intrinsischer cochleärer Signale im Colliculus inferior der Wüstenrennmaus
(2008)
Die vorliegende Arbeit untersucht die neuronale Repräsentation von cochleären Verzerrungsprodukten im auditorischen Mittelhirn der Wüstenrennmaus. Die hohe Sensitivität und die gute Frequenzauflösung des Hörorgans der Säugetiere basiert auf einer aktiven mechanischen Verstärkung der schallinduzierten Basilarmembranschwingung im Innenohr. Die äußeren Haarsinneszellen, die während des Transduktionsprozesses zyklisch ihre Länge ändern und dabei zusätzliche Schwingungsenergie in das System zurückführen, sind der zugrunde liegende Motor des aktiven cochleären Verstärkers. Die stark nichtlinearen Eigenschaften dieses Verstärkers führen allerdings bei gleichzeitiger Verstärkung mehrerer Frequenzkomponenten zur Generierung von Kombinationsschwingungen, welche im Ursprungssignal nicht vorhanden sind. Wird das Ohr beispielsweise durch zwei Töne mit den Frequenzen f1 und f2 stimuliert (f1<f2), so entstehen verschiedene Kombinationsschwingungen, deren prominenteste das quadratische (f2-f1) und das cubische (2 f1-f2) Verzerrungsprodukt sind. Diese Verzerrungen des Ursprungssignals breiten sich von ihrem Entstehungsort im Innenohr, dem Überlappungsbereich der Stimuluswanderwellen, im Flüssigkeitsraum der Cochlea aus und werden über das Mittelohr in den Gehörgang übertragen. Im Gehörgang sind sie mit Hilfe eines sensitiven Mikrophons als otoakustische Emissionen (DPOAE - distortion product otoacoustic emissions) messbar. Zusätzlich bilden sie an ihrem Resonanzort auf der Basilarmembran, vergleichbar mit einem externen Stimuluston gleicher Frequenz, eine eigene Wanderwelle aus und aktivieren den Transduktionsprozess. Die neuronalen Korrelate der cochleären Verzerrungsprodukte sind auf verschiedenen Stationen der Hörbahn messbar und cochleäre Verzerrungsprodukte können als separate Töne wahrgenommen werden. In der vorliegenden Arbeit wurden die neuronalen Korrelate und otoakustischen Emissionen von cochleären Verzerrungsprodukten erstmals simultan bestimmt. Durch den direkten Vergleich der neuronalen Aktivität mit der peripheren Emissionsmessung sollen eventuelle zentralnervöse Veränderungen der Repräsentation der cochleären Verzerrungsprodukte untersucht werden. Dazu wurde die elektrische Aktivität von 91 Neuronen des Colliculus inferior der Wüstenrennmaus während der Stimulation durch zwei hochfrequente Stimulustöne gemessen. Die Frequenzen der Stimulustöne waren so gewählt, dass die Frequenz eines, durch sie evozierten Verzerrungsproduktes, mit der charakteristischen Frequenz des jeweiligen Neurons übereinstimmte. In 95 % aller Messungen konnte eine robuste neuronale Aktivität während Zweitonstimulation gemessen werden, die sich auf die Stimulation durch ein spezifisches cochleäres Verzerrungsprodukt zurückführen lässt. Bei einem Teil der Versuche wurden die Verzerrungsprodukte durch direkte intracochleäre Auslöschung mit einem dritten Tonstimulus eindeutig als Quelle der neuronalen Aktivität bestätigt. Für Verzerrungsproduktfrequenzen oberhalb 1,3 kHz lassen sich die Antworten der Neurone im schwellennahen Bereich gut mit den simultan im Gehörgang bestimmten DPOAE-Pegeln erklären, was einen engen Zusammenhang zwischen intracochleärem Verzerrungsproduktpegel und DPOAE-Pegel nahe legt. Bei höheren Stimuluspegeln konnten die maximalen neuronalen Antworten auf den intracochleären Verzerrungsproduktstimulus signifikant von der Einzeltonantwort abweichen, wobei sowohl eine Erhöhung als auch eine Reduktion der Maximalantwort möglich war. Ein inhibitorischer bzw. verstärkender Einfluss der Stimulustöne auf die neuronale Verzerrungsproduktantwort wird als mögliche Ursache der Unterschiede diskutiert. Für Verzerrungsproduktfrequenzen unterhalb 1,3 kHz wurde ein deutlicher Unterschied zwischen dem intracochleären Verzerrungsproduktpegel und dem im Gehörgang gemessenen Emissionspegel deutlich. Ein Teil der getesteten tieffrequenten Neurone antwortete während Zweitonstimulation bereits für Stimuluspegel, die unterhalb der Reintonschwelle des Neurons lagen. Eine frequenzspezifische Verschlechterung der Mittelohrübertragungsleistung bei tiefen Frequenzen wird als mögliche Ursache für die unterschwelligen Antworten der Neurone diskutiert. Die Ergebnisse der vorliegenden Arbeit zeigen, dass cochleäre Verzerrungsprodukte einen substanziellen Anteil an der neuronalen Repräsentation von komplexen Stimuli haben können. Im Besonderen machen die vorgestellten Daten deutlich, dass die neuronalen Repräsentation der Grundfrequenz eines komplexen Klangs wesentlich von cochleären Verzerrungsprodukten beeinflusst sein kann. Dies bedeutet, dass bereits im Innenohr Tonhöheninformation extrahiert werden kann und damit die Relevanz in der Literatur diskutierter neuronaler Mechanismen zur Berechnung von Tonhöhe relativiert wird.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions, using signals from nanopore direct RNA sequencing. CHEUI processes observed and expected signals with convolutional neural networks to achieve high single-molecule accuracy and outperform other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A significant roadblock hindering progress in epitranscriptomics is the identification of more than one modification in individual transcript molecules. We address this with CHEUI (CH3 (methylation) Estimation Using Ionic current). CHEUI predicts N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual molecules from the same sample, the stoichiometry at transcript reference sites, and differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals to achieve high single-molecule, transcript-site, and stoichiometry accuracies in multiple tests using synthetic RNA standards and cell line data. CHEUI’s capability to identify two modification types in the same sample reveals a co-occurrence of m6A and m5C in individual mRNAs in cell line and tissue transcriptomes. CHEUI provides new avenues to discover and study the function of the epitranscriptome.
Rhythmic changes in environmental lighting conditions have ever been the most reliable environmental cue for life on earth. Nature has therefore selected a genetically encrypted endogenous clock very early in evolution, as it provided cells and subsequently organisms with the ability to anticipate persevering periods of light and darkness. Rhythm generation within the mammalian circadian system is achieved by clock genes and their protein products. The mammalian endogenous master clock, which synchronizes the body to environmental time, is located in the suprachiasmatic nucleus (SCN) of the hypothalamus. As an integral part of the time-coding system, the pineal gland serves the need to tune the body to the temporal environment by the rhythmic nocturnal synthesis and immediate release of the hormone melatonin. In contrast to the transcriptional regulation of melatonin synthesis in rodents, a post-translational shaping is indicated in the human pineal gland. Another important mediator of circadian time and seasonality to the body is the pituitary gland. The aim of this work was to elucidate regulation of melatonin synthesis in the human pineal gland. Furthermore, presence and regulation of clock genes in the human pineal and pituitary gland, and in the SCN were analyzed. Therefore, human tissue, taken from regular autopsies, was analyzed simultaneously for different parameters involved in melatonin biosynthesis and circadian rhythm generation. Presented data demonstrate that post-mortem brain tissue can be used to detect the remnant profile of pre-mortem adaptive changes in neuronal activity. In particular, our results give strong experimental support for the idea that transcriptional mechanisms are not dominant for the generation of rhythmic melatonin synthesis in the human pineal gland. Together with data obtained for clock genes and their protein products in the pituitary, data presented here offer 1) a new working hypothesis for post-translational regulation of melatonin biosynthesis in the human pineal gland, and 2) a novel twist in the molecular competence of clock gene proteins, achieved by nucleo-cytoplasmic shuttling in neuronal and neuroendocrine human tissue. Furthermore, in this study, oscillations in abundance of clock gene proteins were demonstrated for the first time in the human SCN.