Dataset Information

Dimerization of pentacyclopentacorannulene C₃₀H₁₀ as a strategy to produce C₆₀H₂₀ as a precursor for C₆₀.

ABSTRACT: The chemical synthesis of C₆₀ fullerene in the laboratory is still a challenge. In order to achieve this goal, we propose a synthetic route based on the dimerization between two pentacyclopentacorannulene (C₃₀H₁₀) fragments employing the Diels-Alder cycloaddition reaction. Density functional calculations indicate that a step wise non-concerted dimerization mechanism of C₃₀H₁₀ is favored over a one stage dimerization. The step wise dimerization implies the sequential formation of 2, 4, 6, and 10 new C-C bonds between the two fragments. This leads to the formation of the Diels-Alder cycloadduct C₆₀H₂₀. The results then suggest the synthesis of C₆₀H₂₀ as a precursor for C₆₀. The synthesis of the analogue C₆₀F₂₀ has already been reported.

SUBMITTER: Richaud A

PROVIDER: S-EPMC9048444 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Dimerization of pentacyclopentacorannulene C30H10 as a strategy to produce C60H20 as a precursor for C60.

Richaud Arlette A López María J MJ Mojica Martha M Alonso Julio A JA Méndez Francisco F

RSC advances 20200122 7

The chemical synthesis of C60 fullerene in the laboratory is still a challenge. In order to achieve this goal, we propose a synthetic route based on the dimerization between two pentacyclopentacorannulene (C30H10) fragments employing the Diels-Alder cycloaddition reaction. Density functional calculations indicate that a step wise non-concerted dimerization mechanism of C30H10 is favored over a one stage dimerization. The step wise dimerizati ...[more]

PMID: 35492679

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Project description:BACKGROUND:Healthcare represents a paradox. While change is everywhere, performance has flatlined: 60% of care on average is in line with evidence- or consensus-based guidelines, 30% is some form of waste or of low value, and 10% is harm. The 60-30-10 Challenge has persisted for three decades. MAIN BODY:Current top-down or chain-logic strategies to address this problem, based essentially on linear models of change and relying on policies, hierarchies, and standardisation, have proven insufficient. Instead, we need to marry ideas drawn from complexity science and continuous improvement with proposals for creating a deep learning health system. This dynamic learning model has the potential to assemble relevant information including patients' histories, and clinical, patient, laboratory, and cost data for improved decision-making in real time, or close to real time. If we get it right, the learning health system will contribute to care being more evidence-based and less wasteful and harmful. It will need a purpose-designed digital backbone and infrastructure, apply artificial intelligence to support diagnosis and treatment options, harness genomic and other new data types, and create informed discussions of options between patients, families, and clinicians. While there will be many variants of the model, learning health systems will need to spread, and be encouraged to do so, principally through diffusion of innovation models and local adaptations. CONCLUSION:Deep learning systems can enable us to better exploit expanding health datasets including traditional and newer forms of big and smaller-scale data, e.g. genomics and cost information, and incorporate patient preferences into decision-making. As we envisage it, a deep learning system will support healthcare's desire to continually improve, and make gains on the 60-30-10 dimensions. All modern health systems are awash with data, but it is only recently that we have been able to bring this together, operationalised, and turned into useful information by which to make more intelligent, timely decisions than in the past.

Project description:Cellular responses to signalling pathways are often highly dynamic, however most analyses of developmental signalling pathways focus on a single endpoint. We have analyzed the temporal changes in transcription following a short Notch activation treatment and related these to the recruitment of the Notch pathway transcription factor, CSL [Suppressor of Hairless, Su(H), in Drosophila], and to the state of RNA Polymerase II (Pol II) binding. A total of 154 genes showed significant differential expression over time and their expression profiles stratified into 14 clusters based on temporal and quantitative differences in their responses. These differences were partially reflected in the profiles of Pol II and Su(H) binding. However, neither could fully account for the different response profiles. Furthermore, the timing of the different responses was unaffected by more prolonged Notch activation. Instead our data suggest that regulatory relationships between genes that segregate into different response clusters can partially account for the stratification. Thus, feed-forward repression, where products of early responding Enhancer of split bHLH genes (E(spl)bHLH) inhibit expression of endogenous repressors, is one mechanism that explains the profile of genes that exhibit delayed up-regulation. E(spl)bHLH genes may therefore be responsible for co-ordinating the Notch response of a wide spectrum of other targets, explaining their critical functions in many developmental and disease contexts. DmD8 cells were collected at 7 time points (0M-bM-^@M-^Y, 10M-bM-^@M-^Y, 20M-bM-^@M-^Y, 30M-bM-^@M-^Y, 40M-bM-^@M-^Y, 60M-bM-^@M-^Y and 100M-bM-^@M-^Y) after a 5 minute Notch stimulation as 3 independent replicates. Immunoprecipitation was performed with Su(H) antibody and compared to the total input DNA. Samples from replicates #1 and #2 were labelled with Cy5, and replicate #3 was labelled with Cy3 as a dye-swap. For time point 10M-bM-^@M-^Y, only 2 biological replicates were obtained.

Dataset Information

Dimerization of pentacyclopentacorannulene C₃₀H₁₀ as a strategy to produce C₆₀H₂₀ as a precursor for C₆₀.

Publications

Dimerization of pentacyclopentacorannulene C<sub>30</sub>H<sub>10</sub> as a strategy to produce C<sub>60</sub>H<sub>20</sub> as a precursor for C<sub>60</sub>.

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