Catálogo de publicaciones - revistas

<jats:title>A decades-long affair</jats:title> <jats:p> Decadal climate variability and change affects nearly every aspect of our world, including weather, agriculture, ecosystems, and the economy. Predicting its expression is thus of critical importance on multiple fronts. Power <jats:italic>et al</jats:italic> . review what is known about tropical Pacific decadal climate variability and change, the degree to which it can be simulated and predicted, and how we might improve our understanding of it. More accurate projections will require longer and more detailed instrumental and paleoclimate records, improved climate models, and better data assimilation methods. —HJS </jats:p>

<jats:title>Reconstituting reproduction in culture</jats:title> <jats:p>Research on in vitro gametogenesis (IVG) aims to reconstitute germ cell development, oogenesis and spermatogenesis, in culture. Saitou and Hayashi review some of the recent developments in mammalian IVG. Advances in methods and culture conditions in mice to generate mature oocytes and spermatocytes from pluripotent stem cells have informed similar studies with nonhuman primate and human cells, but differences among species are clear. IVG has great potential for reproductive medicine, including novel diagnosis and modeling of infertility. The realization of human IVG requires further intensive efforts, but as technical hurtles are overcome, careful consideration must be given to the potential application of methods for reproductive purposes. —BAP</jats:p>

<jats:title>Mapping protein interactions driving cancer</jats:title> <jats:p> Cancer is a genetic disease, and much cancer research is focused on identifying carcinogenic mutations and determining how they relate to disease progression. Three papers demonstrate how mutations are processed through networks of protein interactions to promote cancer (see the Perspective by Cheng and Jackson). Swaney <jats:italic>et al</jats:italic> . focus on head and neck cancer and identify cancer-enriched interactions, demonstrating how point mutant–dependent interactions of PIK3CA, a kinase frequently mutated in human cancers, are predictive of drug response. Kim <jats:italic>et al</jats:italic> . focus on breast cancer and identify two proteins functionally connected to the tumor-suppressor gene BRCA1 and two proteins that regulate PIK3CA. Zheng <jats:italic>et al</jats:italic> . developed a statistical model that identifies protein networks that are under mutation pressure across different cancer types, including a complex bringing together PIK3CA with actomyosin proteins. These papers provide a resource that will be helpful in interpreting cancer genomic data. —VV </jats:p>

<jats:title>Mapping protein interactions driving cancer</jats:title> <jats:p> Cancer is a genetic disease, and much cancer research is focused on identifying carcinogenic mutations and determining how they relate to disease progression. Three papers demonstrate how mutations are processed through networks of protein interactions to promote cancer (see the Perspective by Cheng and Jackson). Swaney <jats:italic>et al</jats:italic> . focus on head and neck cancer and identify cancer-enriched interactions, demonstrating how point mutant–dependent interactions of PIK3CA, a kinase frequently mutated in human cancers, are predictive of drug response. Kim <jats:italic>et al</jats:italic> . focus on breast cancer and identify two proteins functionally connected to the tumor-suppressor gene BRCA1 and two proteins that regulate PIK3CA. Zheng <jats:italic>et al</jats:italic> . developed a statistical model that identifies protein networks that are under mutation pressure across different cancer types, including a complex bringing together PIK3CA with actomyosin proteins. These papers provide a resource that will be helpful in interpreting cancer genomic data. —VV </jats:p>

<jats:title>Mapping protein interactions driving cancer</jats:title> <jats:p> Cancer is a genetic disease, and much cancer research is focused on identifying carcinogenic mutations and determining how they relate to disease progression. Three papers demonstrate how mutations are processed through networks of protein interactions to promote cancer (see the Perspective by Cheng and Jackson). Swaney <jats:italic>et al</jats:italic> . focus on head and neck cancer and identify cancer-enriched interactions, demonstrating how point mutant–dependent interactions of PIK3CA, a kinase frequently mutated in human cancers, are predictive of drug response. Kim <jats:italic>et al</jats:italic> . focus on breast cancer and identify two proteins functionally connected to the tumor-suppressor gene BRCA1 and two proteins that regulate PIK3CA. Zheng <jats:italic>et al</jats:italic> . developed a statistical model that identifies protein networks that are under mutation pressure across different cancer types, including a complex bringing together PIK3CA with actomyosin proteins. These papers provide a resource that will be helpful in interpreting cancer genomic data. —VV </jats:p>

<jats:p>For the past 18 months, communicating the findings of science to the world has hit what sometimes seems like an all-time low. Nevermind the years of failure in convincing much of the public about climate change; the pandemic has revealed shocking ineptness by the scientific establishment at conveying messages about masks, vaccination, or the dangers of consuming horse drugs and aquarium cleaners—even in the face of a rising death toll from COVID-19. One puzzling element of this crisis is how social media has been skillfully exploited by antiscience forces. Given all of this, what is the right move for science communication as it relates to social media? Unfriend Facebook or beat it at its own game?</jats:p>

<jats:p>Protein-based shots developed by Clover shown to protect against five variants</jats:p>

<jats:p>Specimen in limbo as German, Brazilian partisans square off over scientific colonialism</jats:p>

<jats:p>Proponents hope wider use of policy that allows funding of proposals “outside the pay line” will bolster success rates</jats:p>