Refine
Year of publication
Document Type
- Article (1011)
- Doctoral Thesis (414)
- Preprint (59)
- Conference Proceeding (6)
- Book (2)
- Bachelor Thesis (1)
- Periodical (1)
- Report (1)
Language
- English (1495) (remove)
Has Fulltext
- yes (1495)
Is part of the Bibliography
- no (1495)
Keywords
- aging (15)
- Podospora anserina (14)
- mitochondria (10)
- autophagy (9)
- Haloferax volcanii (8)
- Phylogeny (8)
- Saccharomyces cerevisiae (8)
- heat stress (8)
- Archaea (7)
- SARS-CoV-2 (7)
Institute
- Biowissenschaften (1495) (remove)
Cytochrome P450 (CYP) enzymes oxidize, peroxidize and/or reduce cholesterol, vitamins, steroids, xenobiotics and numerous pharmacological substances in an oxygen- and NADPHdependent manner. Since many CYP isozymes are also capable of metabolizing arachidonic acid to biologically active products, CYP enzymes are often described as the third pathway of arachidonic acid metabolism i.e., in addition to cyclooxygenases and lipoxygenases. CYP enzymes are predominantly expressed in the liver while others, such as members of the CYP 2J, CYP 2C and CYP 4A subfamilies, can be detected in extrahepatic tissues, particularly in the cardiovascular system. Recent data suggest that a CYP 2C enzyme(s) expressed in coronary artery endothelial cells generate epoxyeicosatrienoic acids (5,6-; 8,9-; 11,12- and 14,15-EET) which contribute to the acute control of vascular tone and the longterm regulation of vascular homeostasis.
The expression of CYP 2C in coronary artery endothelial cells is regulated by a number of stimuli, such as cyclic stretch and fluid shear stress as well as by the corticosteroid cortisol and a number of CYP substrates (nifedipine, cerivastatin and -naphthoflavone). However, the signalling pathways and the transcription factors involved in regulating the expression of the gene are unknown.
Since most of the CYP 2C enzymes are transcriptionally regulated, we were interested in identifying the CYP 2C isoform(s) expressed in porcine coronary artery endothelial cells (PCAEC) as well as determining its/their promoter sequence(s). The overall goal was to study the involvement of different transcription factor binding elements in the regulation of the CYP 2C gene(s). Porcine coronary arteries were used given the possibility of analysing the results obtained at the cellular level with alterations in vascular function. Comparison of the porcine CYP 2C and the human CYP 2C8 and 2C9 promoters was also a major goal of this study.
To identify the relevant porcine CYP 2C isoform nested RT-PCR was performed using total RNA from porcine coronary artery endothelial cells. Comparison of the sequence of the product of this reaction with the NCBI database suggested that the CYP 2C expressed in PCAEC was approximately 85% homologous with the human CYP 2C9 enzyme. To obtain the full length CYP 2C isoform 5´ rapid amplification of cDNA end (5´ RACE) was performed using a downstream reverse gene specific primer which is conserved in all of the porcine CYP 2C isoforms. The intention behind using such a primer was to amplify all the possible CYP cDNAs expressed in PCAEC. With the 5´ RACE technology it was possible not only to identify the exact isoform (CYP 2C34) expressed in PCAEC, but it was also possible to amplify 550 bp of the 5´ upstream region. This result was authenticated by comparing the protein/nucleotide sequence with other human CYP 2C genes such as CYP 2C8 and CYP 2C9 as well as different porcine CYP 2C genes (CYP 2C34, CYP 2C49). Multiple protein/nucleotide sequence alignment revealed approximately 85-90% sequence identity. An exon1-2 specific radio-labelled probe of the CYP 2C34 gene was then used to screen a porcine genomic library for positive genomic clones containing the promoter region of the CYP 2C34 gene.
For the isolation of 5´ flanking region of CYP 2C34 gene a PCR-based directional genome walking strategy was used in which the positive porcine genomic BAC clones were taken as a DNA template. Four arbitrarily designed universal walking primers and a gene-specific primer derived from the CYP 2C34 gene sequence were employed and led to the identification and isolation of 1.4 kb of the 5´ flanking region.
The 1.4 kb 5´ flanking region of CYP 2C34 gene contains multiple transcription factor binding sites including glucocorticoid-responsive element (GRE), hypoxia-responsive element (HRE), CAAT-enhancer binding protein (C/EBP), stress responsive element (STRE) consensus sequences. CYP 2C34 promoter constructs were generated and reporter gene activity (luciferase) activity was compared with that of a promoterless vector (pGL3-Basic) at first in HEK cells and then in PCAEC. After using cortisol as a positive control to demonstrate that the promoter constructs generated were functional we determined the effects of physiologically relevant stimuli i.e., hypoxia and cyclic stretch. Additional experiments with zinc sulphate were performed in a preliminary analysis of the role of Zn2+ inducible transcription factors and might be cooperative heterodimerization formation with these transcription factor with C/EBP in the regulation of CYP 2C34 expression. With all these stimuli, reporter gene activity of CYP 2C34 promoter was significantly (3-8 fold) increased over values obtained in unstimulated cells.
Analysis of the regions that are essential for the induction of promoter activity in response to the different stimuli of interest have to be performed in combination with gel shift assays, siRNA experiments as well as site-directed mutagenesis experiments. Comparison of the regulation of the CYP 2C34 gene and correlation with changes in vascular function (in isolated porcine coronary arteries) should deliver information relevant to the regulation of the CYP 2C enzyme expressed in human coronary artery endothelial cells. The recent demonstration of a clinically relevant role for CYP 2C9 in coronary heart disease underlines the importance of such a study.
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 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 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.
Mutations in the clk-1 gene result in slower development and increased life span in Caenorhabditis elegans. The Saccharomyces cerevisiae homologue COQ7/CAT5 is essential for several metabolic pathways including ubiquinone biosynthesis, respiration, and gluconeogenic gene activation. We show here that Coq7p/Cat5p is a mitochondrial inner membrane protein directly involved in ubiquinone biosynthesis, and that the defect in gluconeogenic gene activation in coq7/cat5 null mutants is a general consequence of a defect in respiration. These results obtained in the yeast model suggest that the effects on development and life span in C. elegans clk-1 mutants may relate to changes in the amount of ubiquinone, an essential electron transport component and a lipid soluble antioxidant.
Taphonomy and palaeoecology of Laetoli as well as Makuyuni, Arusha region in northern Tanzania
(2004)
This thesis is the result of the Hominid Corridor research Project in Tanzania since 1993 to 1995 that include Pliocene and Pleistocene localities. The localities under study include Laetoli and Manyara area in Arusha Region, northern Tanzania. The thesis has the following specific objectives: firstly, to identify taxa recovered from the studied assemblages; secondly, to underpin taphonomic history of the assemblages under study; thirdly, to elucidate further palaeoecological reconstruction of the assemblages; and finally, to examine surface fossil fauna modifications including agents of modifications either hominids or carnivores.
The Upper Laetolil Beds are dated at 3.5 million years ago (Ma) and the Ndolanya Beds are bracketed in age between 3.5 and 2.41 Ma. The Naibadad Beds, also from Laetoli area, are date to be between 2.2 to 2.1 Ma. The Naibadad Beds are correlated with the base of Bed I at Olduvai Gorge. There are so far no absolute dates for Manyara assemblages. Based on biostratigraphic correlation, the younger overlying unit, the Upper Manyara Beds are estimated to belong to Later Pleistocene and the Lower Manyara Beds are estimated to belong to Early Pleistocene. The Upper Manyara Beds are correlated to the age of Bed III at Olduvai Gorge, while the Lower Manyara Beds are interpreted to span the same contemporaneity with the upper part of Bed II at Olduvai Gorge.
At Laetoli localities, terrestrial mammals while localities from Manyara besides terrestrial mammals dominate fauna; they include aquatic species such as fish, crocodiles and hippopotamus. The main families recovered from Upper Laetolil Beds complement those already recovered from former research works by other workers. This is also true for the younger overlying stratigraphic horizon, the Upper Ndolanya Beds. Thus, mammalian families recovered from Upper Laetolil Beds include Bovidae, Carnivora, Elephantidae, Equidae, Lagomorpha, Suidae, Rodentia, Hominoidea and Rhenocerotidae. Remains of an invertebrate, Gastropoda were also recovered. For Upper Ndolanya Beds include almost the same families recovered from Upper Laetolil Beds, but based on former recovery of fossil fauna, these Beds outnumber greatly the Upper Laetolil Beds in bovid composition by 20 per cent. Such a change in species composition is noticed also from South African localities and East African localities such as the East Turkana. This is interpreted to be due to climatic change drier environments that included species adapted to such palaeoclimates.
For the first time, our team has been able to retrieve specimens identifiable to taxa, a pattern that not possible from previous workers who claimed to have recovered too sparse specimens to be identifiable to any taxon.
The Upper Manyara Beds as well as Lower Manyara taxonomic composition include aquatic species besides the large terrestrial mammalian fauna retrieved from there. In due regard, the former horizon is attributed to have affinity with Olduvai Bed III components and the latter, older horizon, is attributed to have affinity with upper parts of Bed II times at Olduvai Gorge. The Lower Manyara Beds can be said to have, in relative terms, affinity to species recovered from site RC 11 of the Chiwondo Beds, Malema region in northern Malawi, although the former site may be equable to the terminal age of the latter locality.
Fossil hominid remains; attributable to genus Homo and possibly species Homo erectus have been recovered from two localities, Mk 2 and Mk, along Lower Manyara Beds. On the other hand, stone tools, identified to belong to the Acheulian industrial technocomplex, were recovered from site Mk 4.
All of fossil fauna from Laetoli sites were mostly exfoliated and there shows to be little effect in terms of hydrodynamic sorting of the fossil bones. However, intense carnivore activity is witnessed due to the almost one to one ratio of proximal to distal ends. This is also true for the Lower Manyara Beds locality. Through examination of surface modifications of the fossil fauna, it has been established that there was carnivore consumption of ungulates. There is no evidence of hominid involvement that has to be testified by stone tools.