A survey encompassing PhD (n=110) and DNP (n=114) faculty was completed; 709% of PhD faculty and 351% of DNP faculty were found to be tenure track. A modest effect size (0.22) was observed, where a significantly higher percentage of PhD holders (173%) screened positive for depression compared to DNP holders (96%). A thorough review of the tenure and clinical track criteria yielded no perceptible discrepancies. Employees who felt valued and appreciated in their workplace culture exhibited lower levels of depression, anxiety, and burnout. Five recurring themes emerged from identified contributions to mental health outcomes: lack of appreciation, role-based uncertainties, the need for time devoted to academic pursuits, the presence of burnout cultures, and inadequate faculty training for effective teaching.
The suboptimal mental health of faculty and students is a consequence of systemic issues requiring immediate attention from college leaders. Academic institutions should establish wellness cultures and provide the necessary infrastructure, incorporating evidence-based interventions to improve faculty well-being.
College leaders have a responsibility to address urgently the systemic issues negatively affecting the mental health of both faculty and students. To foster faculty well-being, academic institutions must cultivate wellness cultures and provide infrastructure supporting evidence-based interventions.
Molecular Dynamics (MD) simulations often necessitate the generation of precise ensembles to ascertain the energetics of biological processes. Prior to this, we demonstrated that unweighted reservoirs, constructed from high-temperature molecular dynamics simulations, can significantly enhance the convergence of Boltzmann-weighted ensembles, accelerating them by at least tenfold using the Reservoir Replica Exchange Molecular Dynamics (RREMD) method. This study explores if a reservoir, established using a single Hamiltonian (including the solute force field and solvent model), unweighted, can be repurposed to rapidly produce accurately weighted ensembles corresponding to Hamiltonians differing from the original. Employing a pool of diverse structures generated from wild-type simulations, we likewise expanded this method to quickly gauge the consequences of mutations on peptide stability. Structures created by fast techniques, including coarse-grained models and those predicted by Rosetta or deep learning, could be integrated into a reservoir to enhance the speed of ensemble generation, utilizing more accurate structural representations.
The special class of polyoxometalate clusters, giant polyoxomolybdates, function as a link between small molecule clusters and significant polymeric entities. Giant polyoxomolybdates, importantly, showcase applications spanning catalysis, biochemistry, photovoltaic technologies, electronics, and other related fields. The captivating process of observing how reducing species evolve into their ultimate cluster configuration and then further self-assemble hierarchically is crucial for informing the design and synthesis of new materials. This review examines the self-assembly phenomenon in giant polyoxomolybdate clusters, including the exploration of novel structures and the introduction of novel synthesis approaches. Importantly, in-operando characterization is essential to understanding the self-assembly pathway of giant polyoxomolybdates, paving the way for the reconstruction of intermediates and ultimately, the design of new structures.
This protocol describes the process of culturing and dynamically visualizing tumor slices. This approach utilizes nonlinear optical imaging platforms to study the dynamics of carcinoma and immune cells within the multifaceted tumor microenvironment (TME). Through a PDA mouse model, we demonstrate the methodical steps in isolating, activating, and labeling CD8+ T cells, ultimately integrating them with live murine PDA tumor slice cultures. This protocol presents techniques that can better our understanding of cell migration processes in complex ex vivo microenvironments. To learn the specifics of using and running this protocol, please refer to Tabdanov et al. (2021).
A protocol for controllable biomimetic nano-mineralization is presented, mimicking the naturally occurring ion-enriched sedimentary mineralization. check details The application of a polyphenol-mediated, stabilized mineralized precursor solution to treat metal-organic frameworks is described in detail. We proceed to describe in detail their function as blueprints for assembling metal-phenolic frameworks (MPFs) overlaid with mineralized layers. Finally, we present the therapeutic benefit of MPF hydrogel delivery to full-thickness skin injury in a rat study. Further information regarding the utilization and execution procedure of this protocol is available in Zhan et al. (2022).
Determining permeability of a biological barrier often relies on the initial slope measurement, assuming a sink condition in which the donor's concentration stays consistent, and the concentration of the recipient shows an increase of less than ten percent. On-a-chip barrier models' reliance on a blanket assumption is invalidated by cell-free or leaky environments, leading to the requirement for the complete solution. The assay procedure, followed by data acquisition, often presents time delays. To address this, a modified protocol, featuring an equation adjusted for a time offset, is described.
We present a genetic engineering protocol to generate small extracellular vesicles (sEVs) enriched in the chaperone protein DNAJB6. We detail the procedures for creating cell lines that overexpress DNAJB6, followed by the isolation and characterization of secreted extracellular vesicles (sEVs) from the cultured medium of these cells. We proceed to describe assays aimed at determining the impact of sEVs, loaded with DNAJB6, on protein aggregation within cellular models of Huntington's disease. This protocol, initially designed for studying protein aggregation in neurodegenerative disorders, can be readily repurposed for studying aggregation in other diseases, or adapted to encompass other therapeutic proteins. For in-depth specifics on the protocol's operation and execution, please consult Joshi et al. (2021).
Diabetes research necessitates the use of mouse models of hyperglycemia and the measurement of islet function. We describe a protocol for evaluating glucose homeostasis and islet functions in diabetic mice as well as isolated islets. A protocol for establishing type 1 and type 2 diabetes, comprising glucose tolerance tests, insulin tolerance tests, glucose-stimulated insulin secretion assays, and in vivo histological assessments of islet number and insulin expression, is elaborated. Ex vivo analyses of islet isolation, islet glucose-stimulated insulin secretion (GSIS), beta-cell proliferation, apoptosis, and reprogramming are then detailed. For a complete description of how to use and run this protocol, the 2022 work of Zhang et al. should be consulted.
Expensive ultrasound machinery and complex procedures are indispensable components of existing focused ultrasound (FUS) protocols, particularly those incorporating microbubble-mediated blood-brain barrier (BBB) opening (FUS-BBBO) in preclinical studies. Our team designed a precise, easily accessible, and economical FUS apparatus for preclinical investigations using small animal models. A detailed protocol is provided for fabricating the FUS transducer, attaching it to a stereotactic frame for precise brain targeting, applying the integrated FUS device for FUS-BBBO in mice, and evaluating the subsequent outcome of FUS-BBBO. Hu et al. (2022) provides a complete guide to the use and execution of this protocol.
Delivery vectors, containing Cas9 and other proteins, are subject to recognition issues, limiting the in vivo utility of CRISPR technology. In the Renca mouse model, we present a protocol for genome engineering utilizing selective CRISPR antigen removal (SCAR) lentiviral vectors. check details A comprehensive protocol for conducting an in vivo genetic screen, using a sgRNA library paired with SCAR vectors, is detailed here, allowing for adaptation to different cellular contexts and systems. Detailed instructions on how to utilize and apply this protocol are provided within the work by Dubrot et al. (2021).
Molecular separations are contingent upon the presence of polymeric membranes with precisely calibrated molecular weight cutoffs. The synthesis of microporous polyaryl (PAR TTSBI) freestanding nanofilms, including the creation of bulk PAR TTSBI polymer and thin-film composite (TFC) membranes with crater-like surface morphologies, follows a stepwise approach. The subsequent separation study of the PAR TTSBI TFC membrane is also detailed. The complete details for using and executing this protocol are provided in Kaushik et al. (2022)1 and Dobariya et al. (2022)2.
Research into the glioblastoma (GBM) immune microenvironment and the development of novel clinical treatment drugs depend on the availability and suitability of preclinical GBM models. This document outlines a protocol to generate syngeneic orthotopic glioma models in mice. We additionally illustrate the method for intracranially introducing immunotherapeutic peptides and the method for evaluating the response to the treatment. We present a final assessment of evaluating the tumor immune microenvironment, considering its impact on treatment outcomes. To fully understand the use and execution of this protocol, please review the work by Chen et al. (2021).
The internalization process of α-synuclein presents conflicting evidence, leaving the subsequent intracellular trafficking route following cellular entry largely undetermined. check details We describe the process of attaching α-synuclein preformed fibrils (PFFs) to nanogold beads and subsequent electron microscopy (EM) analysis to understand these issues. We then elaborate on the uptake of conjugated PFFs by U2OS cells placed on Permanox 8-well chamber slides. By employing this process, the need for antibody specificity and the complex immuno-electron microscopy staining procedures is removed.