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Deletion of murine <i>Rhoh</i> leads to de-repression of <i>Bcl-6</i> via decreased KAISO levels and accelerates a malignancy phenotype in a murine model of lymphoma
Published 2022“…The loss of Rhoh in Bcl-6<sup>Tg</sup> mice led to a more rapid disease progression. Mechanistically, we demonstrated that deletion of Rhoh in these murine lymphoma cells was associated with decreased levels of the RhoH binding partner KAISO, a dual-specific Zinc finger transcription factor, de-repression of KAISO target Bcl-6, and downregulation of the BCL-6 target Blimp-1. …”
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Modelling of Large Protein Complexes
Published 2022“…However, predicting protein complexes with more than a handful of chains is still unfeasible, as the accuracy rapidly decreases with the number of chains and the protein size is limited by the memory on a GPU. …”
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Capturing the Transient Microstructure of a Physically Assembled Gel Subjected to Temperature and Large Deformation
Published 2021“…Here, we report the real-time change in the structure of physically assembled triblock copolymer gels that consist of 10 and 20 wt % of poly(styrene)–poly(isoprene)–poly(styrene) [PS–PI–PS] triblock copolymer in mineral oil (i) during the gelation process with decreasing temperature, (ii) subjected to large oscillatory deformation, and (iii) during the stress-relaxation process after the application of a step strain. …”
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Capturing the Transient Microstructure of a Physically Assembled Gel Subjected to Temperature and Large Deformation
Published 2021“…Here, we report the real-time change in the structure of physically assembled triblock copolymer gels that consist of 10 and 20 wt % of poly(styrene)–poly(isoprene)–poly(styrene) [PS–PI–PS] triblock copolymer in mineral oil (i) during the gelation process with decreasing temperature, (ii) subjected to large oscillatory deformation, and (iii) during the stress-relaxation process after the application of a step strain. …”
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Data_Sheet_1_The Proximal Drivers of Large Fires: A Pyrogeographic Study.docx
Published 2020“…As in most fire-prone environments, the majority of annual burned area is due to a relatively small number of large fires. We train and test an Artificial Neural Network’s ability to predict spatial patterns in the probability of large fires (>1,250 ha) in forests and grasslands as a function of proxies of the four major controls on fire activity. …”
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SURF6 knockdown affects cell cycle distribution of HCT116 human intestinal carcinoma cells.
Published 2023Subjects: -
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SURF6 co-localizes with ITS2 part of pre-rRNA in the nucleoli of HeLa cells.
Published 2023Subjects: -
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