12 research outputs found

    The nucleolar protein Esf2 interacts directly with the DExD/H box RNA helicase, Dbp8, to stimulate ATP hydrolysis

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    While 18 putative RNA helicases are involved in ribosome biogenesis in Saccharomyces cerevisiae, their enzymatic properties have remained largely biochemically uncharacterized. To better understand their function, we examined the enzymatic properties of Dpb8, a DExD/H box protein previously shown to be required for the synthesis of the 18S rRNA. As expected for an RNA helicase, we demonstrate that recombinant Dbp8 has ATPase activity in vitro, and that this activity is dependent on an intact ATPase domain. Strikingly, we identify Esf2, a nucleolar putative RNA binding protein, as a binding partner for Dbp8, and show that it enhances Dbp8 ATPase activity by decreasing the K(M) for ATP. Thus, we have uncovered Esf2 as the first example of a protein co-factor that has a stimulatory effect on a nucleolar RNA helicase. We show that Esf2 can bind to pre-rRNAs and speculate that it may function to bring Dbp8 to the pre-rRNA, thereby both regulating its enzymatic activity and guiding Dbp8 to its site of action

    The nucleolar protein Esf2 interacts directly with the DExD/H box RNA helicase, Dbp8, to stimulate ATP hydrolysis

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    While 18 putative RNA helicases are involved in ribosome biogenesis in Saccharomyces cerevisiae, their enzymatic properties have remained largely biochemically uncharacterized. To better understand their function, we examined the enzymatic properties of Dpb8, a DExD/H box protein previously shown to be required for the synthesis of the 18S rRNA. As expected for an RNA helicase, we demonstrate that recombinant Dbp8 has ATPase activity in vitro, and that this activity is dependent on an intact ATPase domain. Strikingly, we identify Esf2, a nucleolar putative RNA binding protein, as a binding partner for Dbp8, and show that it enhances Dbp8 ATPase activity by decreasing the K(M) for ATP. Thus, we have uncovered Esf2 as the first example of a protein co-factor that has a stimulatory effect on a nucleolar RNA helicase. We show that Esf2 can bind to pre-rRNAs and speculate that it may function to bring Dbp8 to the pre-rRNA, thereby both regulating its enzymatic activity and guiding Dbp8 to its site of action

    31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016) : part two

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    Background The immunological escape of tumors represents one of the main ob- stacles to the treatment of malignancies. The blockade of PD-1 or CTLA-4 receptors represented a milestone in the history of immunotherapy. However, immune checkpoint inhibitors seem to be effective in specific cohorts of patients. It has been proposed that their efficacy relies on the presence of an immunological response. Thus, we hypothesized that disruption of the PD-L1/PD-1 axis would synergize with our oncolytic vaccine platform PeptiCRAd. Methods We used murine B16OVA in vivo tumor models and flow cytometry analysis to investigate the immunological background. Results First, we found that high-burden B16OVA tumors were refractory to combination immunotherapy. However, with a more aggressive schedule, tumors with a lower burden were more susceptible to the combination of PeptiCRAd and PD-L1 blockade. The therapy signifi- cantly increased the median survival of mice (Fig. 7). Interestingly, the reduced growth of contralaterally injected B16F10 cells sug- gested the presence of a long lasting immunological memory also against non-targeted antigens. Concerning the functional state of tumor infiltrating lymphocytes (TILs), we found that all the immune therapies would enhance the percentage of activated (PD-1pos TIM- 3neg) T lymphocytes and reduce the amount of exhausted (PD-1pos TIM-3pos) cells compared to placebo. As expected, we found that PeptiCRAd monotherapy could increase the number of antigen spe- cific CD8+ T cells compared to other treatments. However, only the combination with PD-L1 blockade could significantly increase the ra- tio between activated and exhausted pentamer positive cells (p= 0.0058), suggesting that by disrupting the PD-1/PD-L1 axis we could decrease the amount of dysfunctional antigen specific T cells. We ob- served that the anatomical location deeply influenced the state of CD4+ and CD8+ T lymphocytes. In fact, TIM-3 expression was in- creased by 2 fold on TILs compared to splenic and lymphoid T cells. In the CD8+ compartment, the expression of PD-1 on the surface seemed to be restricted to the tumor micro-environment, while CD4 + T cells had a high expression of PD-1 also in lymphoid organs. Interestingly, we found that the levels of PD-1 were significantly higher on CD8+ T cells than on CD4+ T cells into the tumor micro- environment (p < 0.0001). Conclusions In conclusion, we demonstrated that the efficacy of immune check- point inhibitors might be strongly enhanced by their combination with cancer vaccines. PeptiCRAd was able to increase the number of antigen-specific T cells and PD-L1 blockade prevented their exhaus- tion, resulting in long-lasting immunological memory and increased median survival

    Will Lectures Survive the Pandemic? Views and Implementation of Traditional Lecture in Middle and Secondary Social Studies Amid the Covid-19 Pandemic

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    A chasm exists between research-based advocacy for student-centered 21st-century instruction in social studies and teacher-centered lecture, which teachers continue to view as an effective method for delivering social studies content. This chasm loomed large as Covid-19 fundamentally changed the ways teachers deliver instruction. We interviewed pre-service and in-service social studies teachers for their perspectives on how they define lecture, how and why they choose to lecture, and whether the technologically driven paradigm shift due to the COVID-19 pandemic impacted their instructional and pedagogical choices. Grant and Gradwell\u27s (2009) ambitious teaching framework calls for teachers to use their knowledge of content, students, and school and community contexts to design powerful and robust learning opportunities. We applied the ambitious teaching framework to focus group interview transcripts, lesson plans, and survey responses and found that the pandemic did not fundamentally alter pre-service and in-service teachers’ views on lecture but did shift their use of technology and the practicalities of implementing lecture. This study supports colleges of education, school districts, and professional development organizations in understanding how teachers\u27 views have shifted throughout the pandemic and how best to support teachers in using pedagogical practices that foster ambitious social studies instruction

    A Direct Interaction between the Utp6 Half-a-Tetratricopeptide Repeat Domain and a Specific Peptide in Utp21 Is Essential for Efficient Pre-rRNA Processing▿ †

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    The small subunit (SSU) processome is a ribosome biogenesis intermediate that assembles from its subcomplexes onto the pre-18S rRNA with yet unknown order and structure. Here, we investigate the architecture of the UtpB subcomplex of the SSU processome, focusing on the interaction between the half-a-tetratricopeptide repeat (HAT) domain of Utp6 and a specific peptide in Utp21. We present a comprehensive map of the interactions within the UtpB subcomplex and further show that the N-terminal domain of Utp6 interacts with Utp18 while the HAT domain interacts with Utp21. Using a panel of point and deletion mutants of Utp6, we show that an intact HAT domain is essential for efficient pre-rRNA processing and cell growth. Further investigation of the Utp6-Utp21 interaction using both genetic and biophysical methods shows that the HAT domain binds a specific peptide ligand in Utp21, the first example of a HAT domain peptide ligand, with a dissociation constant of 10 ÎŒM

    The coiled-coil domain of the Nop56/58 core protein is dispensable for sRNP assembly but is critical for archaeal box C/D sRNP-guided nucleotide methylation

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    Archaeal box C/D sRNAs guide the methylation of specific nucleotides in archaeal ribosomal and tRNAs. Three Methanocaldococcus jannaschii sRNP core proteins (ribosomal protein L7, Nop56/58, and fibrillarin) bind the box C/D sRNAs to assemble the sRNP complex, and these core proteins are essential for nucleotide methylation. A distinguishing feature of the Nop56/58 core protein is the coiled-coil domain, established by α-helices 4 and 5, that facilitates Nop56/58 self-dimerization in vitro. The function of this coiled-coil domain has been assessed for box C/D sRNP assembly, sRNP structure, and sRNP-guided nucleotide methylation by mutating or deleting this protein domain. Protein pull-down experiments demonstrated that Nop56/58 self-dimerization and Nop56/58 dimerization with the core protein fibrillarin are mutually exclusive protein:protein interactions. Disruption of Nop56/58 homodimerization by alteration of specific amino acids or deletion of the entire coiled-coil domain had no obvious effect upon core protein binding and sRNP assembly. Site-directed mutation of the Nop56/58 homodimerization domain also had no apparent effect upon either box C/D RNP- or Câ€Č/Dâ€Č RNP-guided nucleotide modification. However, deletion of this domain disrupted guided methylation from both RNP complexes. Nuclease probing of the sRNP assembled with Nop56/58 proteins mutated in the coiled-coil domain indicated that while functional complexes were assembled, box C/D and Câ€Č/Dâ€Č RNPs were altered in structure. Collectively, these experiments revealed that the self-dimerization of the Nop56/58 coiled-coil domain is not required for assembly of a functional sRNP, but the coiled-coil domain is important for the establishment of wild-type box C/D and Câ€Č/Dâ€Č RNP structure essential for nucleotide methylation

    Susceptibility-weighted imaging reveals cerebral microvascular injury in severe COVID-19

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    We evaluated the incidence, distribution, and histopathologic correlates of microvascular brain lesions in patients with severe COVID-19. Sixteen consecutive patients admitted to the intensive care unit with severe COVID-19 undergoing brain MRI for evaluation of coma or neurologic deficits were retrospectively identified. Eleven patients had punctate susceptibility-weighted imaging (SWI) lesions in the subcortical and deep white matter, eight patients had >10 SWI lesions, and four patients had lesions involving the corpus callosum. The distribution of SWI lesions was similar to that seen in patients with hypoxic respiratory failure, sepsis, and disseminated intravascular coagulation. Brain autopsy in one patient revealed that SWI lesions corresponded to widespread microvascular injury, characterized by perivascular and parenchymal petechial hemorrhages and microscopic ischemic lesions. Collectively, these radiologic and histopathologic findings add to growing evidence that patients with severe COVID-19 are at risk for multifocal microvascular hemorrhagic and ischemic lesions in the subcortical and deep white matter.National Institute of Neurological Disorders and Stroke (Grants R21NS109627, R21AG067562, RF1NS115268)NIH Director’s Office (Grant DP2HD101400)NIH National Institute of Mental Health (Grant K23MH115812)NIH National Institutes of Allergy and Infectious Diseases (Grant 2U19AI110818

    Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science

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    &lt;h2&gt;What's Changed&lt;/h2&gt; &lt;ul&gt; &lt;li&gt;Documentation and repo hierarchy refactoring by @sierra-moxon in https://github.com/biolink/biolink-model/pull/1418&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Summary: 4.0.0 is a major release that includes many changes to the documentation for Biolink Model as well as the reorganization of the repository to support the new documentation structure and comply with LinkML best practices. The model itself has not changed significantly, but the documentation has been updated to reflect the current state of the model, and includes new visualizations of the model, additional text-based documentation, and a new gh-pages documentation layout.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Full Changelog&lt;/strong&gt;: https://github.com/biolink/biolink-model/compare/v3.6.0...v4.0.0&lt;/p&gt;Please cite the following works when using this software
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