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www.health.harvard.eduI’m so lonesome I could cryThe health risks of loneliness and isolation have been known for some time, but more recently research has shown the specific effects in the brain. Finding ways to make connections with other people is the best “medicine” to alleviate the mental and physical effects of loneliness.
statnews.comMost emergency docs report shortages of critical medicinesNine out of 10 emergency doctors lacked a critical treatment this month, and 69 percent reported that shortages have increased “a lot” over the past year, according to a new survey. And 43 percent said that anywhere from six to 10 medicines were in short supply and 97 percent were forced to use alternatives.
theedadvocate.org2018 Best Colleges and Universities in Missouri - The EdvocateSpread the loveForty-seven colleges and universities make up the higher education landscape in Missouri, and several of these schools have earned regional and national respect for their programs of study and value to students. Many of the 2018 best colleges and universities can be found in St. Louis. Washington University in St. Louis – Coming in at #18 in the United States, Washington is comprised of four undergraduate schools and four graduate schools. They offer programs in social work, business, law, medicine, arts, engineering, applied science, and education. Annual tuition and fees are $51,533. Webster University – Webster represents the …
thetechedvocate.orgWhat Will EdTech Look Like in 100 Years?Spread the loveLet’s take a look at the future and see how technology will improve education in the next 100 years. What will be the new innovations in EdTech? What will future classrooms look like? Will the need to study medicine, law, and science disappear when robots start working in these professions? What about art? Sure, no robot can be better than David Bowie, Leonardo Da Vinci, or Shakespeare (not yet), but with the number of innovations we see every day, we can’t be sure it won’t happen. While these innovations could have some detrimental side effects (such as job …
phys.orgStudy finds snap-lock mechanism in bacterial riboswitchIn a discovery that points to potential new antibiotic medicines, scientists from Rice University and the University of Michigan have deciphered the workings of a common but little-understood bacterial switch that cuts off protein production before it begins.
pnas.orgTemporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plantsOur study exploits time—the relatively unexplored fourth dimension of gene regulatory networks (GRNs)—to learn the temporal transcriptional logic underlying dynamic nitrogen (N) signaling in plants. We introduce several conceptual innovations to the analysis of time-series data in the area of predictive GRNs. Our resulting network now provides the “transcriptional logic” for transcription factor perturbations aimed at improving N-use efficiency, an important issue for global food production in marginal soils and for sustainable agriculture. More broadly, the combination of the time-based approaches we develop and deploy can be applied to uncover the temporal “transcriptional logic” for any response system in biology, agriculture, or medicine. This study exploits time, the relatively unexplored fourth dimension of gene regulatory networks (GRNs), to learn the temporal transcriptional logic underlying dynamic nitrogen (N) signaling in plants. Our “just-in-time” analysis of time-series transcriptome data uncovered a temporal cascade of cis elements underlying dynamic N signaling. To infer transcription factor (TF)-target edges in a GRN, we applied a time-based machine learning method to 2,174 dynamic N-responsive genes. We experimentally determined a network precision cutoff, using TF-regulated genome-wide targets of three TF hubs (CRF4, SNZ, and CDF1), used to “prune” the network to 155 TFs and 608 targets. This network precision was reconfirmed using genome-wide TF-target regulation data for four additional TFs (TGA1, HHO5/6, and PHL1) not used in network pruning. These higher-confidence edges in the GRN were further filtered by independent TF-target binding data, used to calculate a TF “N-specificity” index. This refined GRN identifies the temporal relationship of known/validated regulators of N signaling (NLP7/8, TGA1/4, NAC4, HRS1, and LBD37/38/39) and 146 additional regulators. Six TFs—CRF4, SNZ, CDF1, HHO5/6, and PHL1—validated herein regulate a significant number of genes in the dynamic N response, targeting 54% of N-uptake/assimilation pathway genes. Phenotypically, inducible overexpression of CRF4 in planta regulates genes resulting in altered biomass, root development, and 15NO3− uptake, specifically under low-N conditions. This dynamic N-signaling GRN now provides the temporal “transcriptional logic” for 155 candidate TFs to improve nitrogen use efficiency with potential agricultural applications. Broadly, these time-based approaches can uncover the temporal transcriptional logic for any biological response system in biology, agriculture, or medicine.