Didriksenmurphy1164

Connections, collaborations, and community are key to the success of individual scientists as well as transformative scientific advances. Intentionally building these components into STEM education can better prepare future generations of researchers. Course-based undergraduate research experiences (CUREs) are a new and fast-growing teaching practice in STEM that can expand opportunities for undergraduate students to gain research skills. Because they engage all students in a course in an authentic research experience focused on a relevant scientific problem, CUREs provide an opportunity to foster community among students while promoting critical thinking skills and positively influencing their identities as scientists. Here, we review CUREs in the biological sciences that were developed as multi-institutional networks, and highlight the benefits gained by both students and instructors through participation in a CURE network. Throughout, we introduce Squirrel-Net, a network of ecology-focused and field-based CUREs that intentionally create connections among students and instructors. Squirrel-Net CUREs can also be scaffolded into the curriculum to form connections between courses, and are easily transitioned to distance-based delivery. Future assessments of networked CUREs like Squirrel-Net will help elucidate how CURE networks create community and how a cultivated research community impacts students' performance, perceptions of science, and sense of belonging. selleck chemical We hypothesize networked CUREs have the potential to create a broader sense of belonging among students and instructors alike, which could result in better science and more confident scientists.For a global epidemic like Type 2 diabetes mellitus (T2DM), while impaired gene regulation is identified as a primary cause of aberrant cellular physiology; in the past few years, non-coding RNAs (ncRNAs) have emerged as important regulators of cellular metabolism. However, there are no reports of comprehensive in-depth cross-talk between these regulatory elements and the potential consequences in the skeletal muscle during diabetes. Here, using RNA sequencing, we identified 465 mRNAs and 12 long non-coding RNAs (lncRNAs), to be differentially regulated in the skeletal muscle of diabetic mice and pathway enrichment analysis of these altered transcripts revealed pathways of insulin, FOXO and AMP-activated protein kinase (AMPK) signaling to be majorly over-represented. Construction of networks showed that these pathways significantly interact with each other that might underlie aberrant skeletal muscle metabolism during diabetes. Gene-gene interaction network depicted strong interactions among several differentially expressed genes (DEGs) namely, Prkab2, Irs1, Pfkfb3, Socs2 etc. Seven altered lncRNAs depicted multiple interactions with the altered transcripts, suggesting possible regulatory roles of these lncRNAs. Inverse patterns of expression were observed between several of the deregulated microRNAs (miRNAs) and the differentially expressed transcripts in the tissues. Towards validation, overexpression of miR-381-3p and miR-539-5p in skeletal muscle C2C12 cells significantly decreased the transcript levels of their targets, Nfkbia, Pik3r1 and Pi3kr1, Cdkn2d, respectively. Collectively, the findings provide a comprehensive understanding of the interactions and cross-talk between the ncRNome and transcriptome in the skeletal muscle during diabetes and put forth potential therapeutic options for improving insulin sensitivity.The redox potential values of cytochromes can be modulated by the protonation/deprotonation of neighbor groups (redox-Bohr effect), a mechanism that permits the proteins to couple electron/proton transfer. In the respiratory chains, this effect is particularly relevant if observed in the physiological pH range, as it may contribute to the electrochemical gradient for ATP synthesis. A constitutively produced family of five triheme cytochromes (PpcA-E) from the bacterium Geobacter sulfurreducens plays a crucial role in extracellular electron transfer, a hallmark that permits this bacterium to be explored for several biotechnological applications. Two members of this family (PpcA and PpcD) couple electron/proton transfer in the physiological pH range, a feature not shared with PpcB and PpcE. That ability is crucial for G. sulfurreducens' growth in Fe(III)-reducing habitats since extra contributors to the electrochemical gradient are needed. It was postulated that the redox-Bohr effect is determined by the nature of residue 6, a leucine in PpcA/PpcD and a phenylalanine in PpcB/PpcE. To confirm this hypothesis, Phe6 was replaced by leucine in PpcB and PpcE. The functional properties of these mutants were investigated by NMR and UV-visible spectroscopy to assess their capability to couple electron/proton transfer in the physiological pH range. The results obtained showed that the mutants have an increased redox-Bohr effect and are now capable of coupling electron/proton transfer. This confirms the determinant role of the nature of residue 6 in the modulation of the redox-Bohr effect in this family of cytochromes, opening routes to engineer Geobacter cells with improved biomass production.

Four rapid, smart, and easy to apply spectrophotometric methods were displayed for the estimation of Solifenacin succinate (SOL) in existence of its acid inspired degradation product.

Development of stability indicating smart, sensitive, cheap spectrophotometric methods for determination of SOL in presence of its acid degradate.

(Method A) is dual wavelength (DW) method; where, two wavelengths were selected; 262 and 289 nm were utilized to determine SOL in existence of its acid degradate. (Method B) is developing the first derivative (1D) of the absorption spectra. Peak signal was detected at 276 nm. (Method C) is ratio difference (RD) method where the drug is determined by the difference in signal between two selected wavelengths, at 240 and 259 nm. (Method D) depended on measuring peak signal of the first derivative of the ratio spectra (1DD) at 269 nm.

Calibration curves of the suggested methods exhibited linearity. The selectivity of the suggested methods were ascertained using different laboratory prepared mixtures of SOL with its acid degradate indicating specificity of SOL with accepted recovery values.