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Re-Expression of Tafazzin Isoforms in TAZ-Deficient C6 Glioma Cells Restores Cardiolipin Composition but Not Proliferation Rate and Alterations in Gene Expression

Jagirdar, Gayatri; Elsner, Matthias; Scharf, Christian; Simm, Stefan; Borucki, Katrin...

Frontiers in Genetics 13, 931017.
DOI: 10.3389/fgene.2022.931017


Open Access Peer Reviewed
 

Tafazzin-an acyltransferase-is involved in cardiolipin (CL) remodeling. CL is associated with mitochondrial function, structure and more recently with cell proliferation. Various tafazzin isoforms exist in humans. The role of these isoforms in cardiolipin remodeling is unknown. Aim of this study was to investigate if specific isoforms like Δ5 can restore the wild type phenotype with respect to CL composition, cellular proliferation and gene expression profile. In addition, we aimed to determine the molecular mechanism by which tafazzin can modulate gene expression by applying promoter analysis and (Ingenuity Pathway Analyis) IPA to genes regulated by TAZ-deficiency. Expression of Δ5 and rat full length TAZ in C6-TAZ- cells could fully restore CL composition and-as proven for Δ5-this is naturally associated with restoration of mitochondrial respiration. A similar restoration of CL-composition could not be observed after re-expression of an enzymatically dead full-length rat TAZ (H69L; TAZMut). Re-expression of only rat full length TAZ could restore proliferation rate. Surprisingly, the Δ5 variant failed to restore wild-type proliferation. Further, as expected, re-expression of the TAZMut variant completely failed to reverse the gene expression changes, whereas re-expression of the TAZ-FL variant largely did so and the Δ5 variant to somewhat less extent. Very likely TAZ-deficiency provokes substantial long-lasting changes in cellular lipid metabolism which contribute to changes in proliferation and gene expression, and are not or only very slowly reversible.

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Relevance and Regulation of Alternative Splicing in Plant Heat Stress Response: Current Understanding and Future Directions

Rosenkranz, Remus; Ullrich, Sarah; Löchli, Karin; Simm, Stefan...

Frontiers in Plant Science 13, 911277.
DOI: 10.3389/fpls.2022.911277


Open Access Peer Reviewed
 

Alternative splicing (AS) is a major mechanism for gene expression in eukaryotes, increasing proteome diversity but also regulating transcriptome abundance. High temperatures have a strong impact on the splicing profile of many genes and therefore AS is considered as an integral part of heat stress response. While many studies have established a detailed description of the diversity of the RNAome under heat stress in different plant species and stress regimes, little is known on the underlying mechanisms that control this temperature-sensitive process. AS is mainly regulated by the activity of splicing regulators. Changes in the abundance of these proteins through transcription and AS, post-translational modifications and interactions with exonic and intronic cis-elements and core elements of the spliceosomes modulate the outcome of pre-mRNA splicing. As a major part of pre-mRNAs are spliced co-transcriptionally, the chromatin environment along with the RNA polymerase II elongation play a major role in the regulation of pre-mRNA splicing under heat stress conditions. Despite its importance, our understanding on the regulation of heat stress sensitive AS in plants is scarce. In this review, we summarize the current status of knowledge on the regulation of AS in plants under heat stress conditions. We discuss possible implications of different pathways based on results from non-plant systems to provide a perspective for researchers who aim to elucidate the molecular basis of AS under high temperatures.

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Vertex-Blend Attribute Compression

Kuth, Bastian; Meyer, Quirin (2021)

High-Performance Graphics - Symposium Papers (2021), N. Binder and T. Ritschel (Editors, .
DOI: 10.2312/hpg.20211282


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Promoting health by traveling: Mindfulness and travel medicine Health Promotion & Physical Activity

Kohls, Niko (2021)

4 (13), 62-64.


Peer Reviewed

New Work - New Office Ein Reader zu neuen Arbeitswelten

Phillips, Mark (2021)

av edition, 2022.


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Design Thinking – the good, the bad & the ugly

Zagel, Christian (2021)

Coburg, Designer Treff, Coburger DesignForum Oberfranken e.V..



Future Design – Consumer Experience im Zeitalter der Digitalisierung

Zagel, Christian (2021)

München, Munich Creative Business Week.



Innovationskultur in der VUCA Welt

Zagel, Christian (2021)

Würzburg, Comma Innovation Day.



Advanced Sercvices Management – Retail Innovation

Zagel, Christian (2021)

Friedrich-Alexander Universität Erlangen-Nürnberg, Gastvortrag.



Low-Cost Prothesenbau

Zagel, Christian (2021)

Coburg, Vortragsreihe „Prothesen“.



Lebens- und Erlebnisräume für Senioren und Studierende, Workshop

Zagel, Christian (2021)

Coburg, SeniorenUni.



Kollisionen – Raum für Kreativität und Innovationen im Büro

Phillips, Mark (2021)

Hg: Jürgen Krahl und Josef Löffl, Cuvillier Verlag, 2016 8.


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Das Menschenrecht auf Bildung - ein unabgeschlossener Lernprozess

Lohrenscheit , Claudia (2021)

Politeknik 9/2015 (in deutscher und türkischer Sprache).


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Können Volkshochschulen „gesundheitliche Chancengleichheit “? Ein Erfahrungsbericht aus Nürnberg zum Projekt „Gesunde Südstadt “

Pfeifer , Gabi; Walter, Verena ; John, Dennis; Kohls, Niko; Röhrich, Christina (2021)

Hessische Blätter für Volksbildung, 4, 94–104., 94-104.


Open Access Peer Reviewed

Der Placebo-Effekt – Die Macht der Gedanken

Meißner, Karin (2021)

Eingeladener Vortrag, Veranstaltungsreihe "Die menschliche Psyche – Verhaltensforschung", Studium Generale, VHS Coburg.



Optimization of Probability Distributions for Residual Coding of Screen Content

Och, Hannah; Strutz, Tilo; Kaup, André (2021)

VCIP 2021, Munich, 5-8 December 2021.
DOI: 10.1109/VCIP53242.2021.9675326


Peer Reviewed
 

Probability distribution modeling is the basis for most competitive methods for lossless coding of screen content. One such state-of-the-art method is known as soft context formation (SCF). For each pixel to be encoded, a probability distribution is estimated based on the neighboring pattern and the occurrence of that pattern in the already encoded image. Using an arithmetic coder, the pixel color can thus be encoded very efficiently, provided that the current color has been observed before in association with a similar pattern. If this is not the case, the color is instead encoded using a color palette or, if it is still unknown, via residual coding. Both palette-based coding and residual coding have significantly worse compression efficiency than coding based on soft context formation. In this paper, the residual coding stage is improved by adaptively trimming the probability distributions for the residual error. Furthermore, an enhanced probability modeling for indicating a new color depending on the occurrence of new colors in the neighborhood is proposed. These modifications result in a bitrate reduction of up to 2.9% on average. Compared to HEVC (HM-16.21 + SCM-8.8) and FLIF, the improved SCF method saves on average about 11% and 18% rate, respectively.

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Current and emerging microfluidic-based integrated solutions for free hemoglobin and hemolysis detection and measurement

Naeem, Noman; Drese, Klaus Stefan; Paterson, Lynn; Kersaudy-Kerhoas, Maiwenn (2021)

Analytical Chemistry 2021 (94), 75-85.
DOI: 10.1021/acs.analchem.1c04567


Peer Reviewed
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Happy during crises: Leveraging wellbeing through volunteering

Nolte, Isabella ; Gross, Hellen (2021)

European Research Network On Philanthropy (ERNOP), 10th International Conference, 2.-.3 Dezember 2021, virtuell .



Impact of climatic parameters on rain protection layer design for refurbished historic buildings

Bottino-Leone, Dario; Larcher, Marco; Troi, Alexandra; Grunewald, John (2021)

Renewable and Sustainable Energy Reviews 152.
DOI: 10.1016/j.rser.2021.111688


Open Access Peer Reviewed
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FedAUX: Leveraging unlabeled auxiliary data in federated learning

Sattler, Felix; Korjakow, Tim; Rischke, Roman; Samek, Wojciech (2021)

IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5531-5543.


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