Developing a culture of safety in biomedical research training

The National Institute of General Medical Sciences (NIGMS) at the U.S. National Institutes of Health (NIH) is committed to supporting the safety of the nation’s biomedical research and training environments. Institutional training grants affect many trainees and can have a broad influence across their parent institutions, making them good starting points for our initial efforts to promote the development and maintenance of robust cultures of safety at U.S. academic institutions. In this Perspective, we focus on laboratory safety, although many of the strategies we describe for improving laboratory safety are also applicable to other forms of safety including the prevention of harassment, intimidation, and discrimination. We frame the problem of laboratory safety using a number of recent examples of tragic accidents, highlight some of the lessons that have been learned from these and other events, discuss what NIGMS is doing to address problems related to laboratory safety, and outline steps that institutions can take to improve their safety cultures.

All new funding opportunity announcements (FOAs) for training programs supported by the National Institute of General Medical Sciences (NIGMS) contain the expectation that the programs will promote “inclusive, safe and supportive scientific and training environments.” In this context, the word “safe” refers to several aspects of safety. First, we mean an environment free from harassment and intimidation, in which everyone participating is treated in a respectful and supportive manner, optimized for productive learning and research. We also mean that institutions should ensure that their campuses are as safe as possible so that individuals can focus on their studies and research. Finally, we mean safety in the laboratory and clinical spaces. In this Perspective, we focus on this last issue and describe some of the approaches NIGMS is taking to help the biomedical research community move toward an enhanced culture of safety in which core values and the behaviors of leadership, principal investigators (PIs), research staff, and trainees emphasize safety over competing goals.     

COVID-19 and “natural” experiments arising from physical distancing: a hypothetical case study from chronobiology

ABSTRACT

With countless “natural” experiments triggered by the COVID-19-associated physical distancing, one key question comes from chronobiology: “When confined to homes, how does the reduced exposure to natural daylight arising from the interruption of usual outdoor activities plus lost temporal organization ordinarily provided from workplaces and schools affect the circadian timing system (the internal 24 h clock) and, consequently, health of children and adults of all ages?” Herein, we discuss some ethical and scientific facets of exploring such natural experiments by offering a hypothetical case study of circadian biology.     

The antigenic anatomy of SARS-CoV-2 receptor binding domain

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Discovery and functional interrogation of SARS-CoV-2 RNA-host protein interactions

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BET inhibition blocks inflammation-induced cardiac dysfunction and SARS-CoV-2 infection

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Accurate method for rapid biomass quantification based on specific absorbance of microalgae species with biofuel importance

The development of microalgae culture technology has been an integral part to produce biomass feedstock to biofuel production. Due to this, numerous attempts have been made to improve some operational parameters of microalgae production. Despite this, specialized research in cell growth monitoring, considered as a fundamental parameter to achieve profitable applications of microalgae for biofuels production, presents some opportunity areas mainly related to the development of specific and accurate methodologies for growth monitoring. In this work, predictive models were developed through statistical tools that correlate a specific micro-algal absorbance with cell density measured by cell count (cells∙per ml), for three species of interest for biofuels production. The results allow the precise prediction of cell density through a logistic model based on spectrophotometry, valid for all the kinetics analysed. The adjusted determination coefficients () for the developed models were 0·993, 0·995 and 0·994 for Dunaliella tertiolecta, Nannochloropsis oculata and Chaetoceros muelleri respectively. The results showed that the equations obtained here can be used with an extremely low error (≤2%) for all the cell growth ranges analysed, with low operational cost and high potential of automation. Finally, a user-friendly software was designed to give practical use to the developed predictive models.