Life Sciences Research Articles

A simulated microgravity-oriented AIE probe-ECM hydrogel-integrated chip for cell culture and superoxide anion radical detection

Human space activities have been continuously increasing. Astronauts experiencing spaceflight are faced with health problems caused by special space environments such as microgravity, and the investigation of cell injury is fundamental. The development of a platform capable of cell culture and injury detection is the prerequisite for the investigation. Constructing a platform suitable for special conditions in space life science research is the key issue. The ground-based investigation is an indispensable part of the research. Accordingly, a simulated microgravity (SMG)-oriented integrated chip platform capable of 3D cell culture and in situ visual detection of superoxide anion radical (O2•−) is developed. SMG can cause oxidative stress in human cells, and O2•− is one of the signaling molecules. Thus, a O2•−-responsive aggregation-induced emission (AIE) probe is designed, which shows high selectivity and sensitivity to O2•−. Moreover, the probe exhibits abilities of long-term and wash-free staining to cells due to the AIE behavior, which is precious for space cell imaging. Meanwhile, a chip with a high-aspect-ratio chamber for adequate medium storage for the lack of the perfusion system during the SMG experiment and a cell culture chamber which can integrate the extracellular matrix (ECM) hydrogel for the bioinspired 3D cell culture is fabricated. In addition, a porous membrane is introduced between the chambers to prevent the hydrogel from separating during the SMG experiment. The afforded AIE probe-ECM hydrogel-integrated chip can achieve 3D culturing of U87-MG cells and in situ fluorescent detection of endogenous O2•− in the cells after long-term staining under SMG. The chip provides a powerful and potential platform for ground-based investigation in space life science and biomedical research.

Bilateral Unsymmetrical Disulfurating Reagent Design for Polysulfide Construction.

Polysulfides are significant compounds in life science, pharmaceutical science, and materials science. Therefore, polysulfide construction is in great demand. The controllable sequential installation of groups on both ends of a S-S motif faces an enormous challenge owing to the reversible nature of the covalent S-S bond. A library was established with two divergent mask groups for bilateral unsymmetrical disulfurating reagents (R1O-SS-SO2R2). Sequential coupling with preferential activation of the S-SO2 bond (37.6 kcal/mol) and controllable activation of the S-O bond (54.8 kcal/mol) in the presence of the S-S bond (62.0 kcal/mol) enabled successive reactions at each end of the S-S motif to afford unsymmetrical disulfides and trisulfides, even for the cross-linkage of natural products, pharmaceuticals, peptides, and a protein (bovine serum albumin).

Bilateral Unsymmetrical Disulfurating Reagent Design for Polysulfide Construction

AbstractPolysulfides are significant compounds in life science, pharmaceutical science, and materials science. Therefore, polysulfide construction is in great demand. The controllable sequential installation of groups on both ends of a S−S motif faces an enormous challenge owing to the reversible nature of the covalent S−S bond. A library was established with two divergent mask groups for bilateral unsymmetrical disulfurating reagents (R1O−SS−SO2R2). Sequential coupling with preferential activation of the S−SO2 bond (37.6 kcal/mol) and controllable activation of the S−O bond (54.8 kcal/mol) in the presence of the S−S bond (62.0 kcal/mol) enabled successive reactions at each end of the S−S motif to afford unsymmetrical disulfides and trisulfides, even for the cross‐linkage of natural products, pharmaceuticals, peptides, and a protein (bovine serum albumin).

CellTracksColab is a platform that enables compilation, analysis, and exploration of cell tracking data.

In life sciences, tracking objects from movies enables researchers to quantify the behavior of single particles, organelles, bacteria, cells, and even whole animals. While numerous tools now allow automated tracking from video, a significant challenge persists in compiling, analyzing, and exploring the large datasets generated by these approaches. Here, we introduce CellTracksColab, a platform tailored to simplify the exploration and analysis of cell tracking data. CellTracksColab facilitates the compiling and analysis of results across multiple fields of view, conditions, and repeats, ensuring a holistic dataset overview. CellTracksColab also harnesses the power of high-dimensional data reduction and clustering, enabling researchers to identify distinct behavioral patterns and trends without bias. Finally, CellTracksColab also includes specialized analysis modules enabling spatial analyses (clustering, proximity to specific regions of interest). We demonstrate CellTracksColab capabilities with 3 use cases, including T cells and cancer cell migration, as well as filopodia dynamics. CellTracksColab is available for the broader scientific community at https://github.com/CellMigrationLab/CellTracksColab.

Development of Iron‐Based Single Atom Materials for General and Efficient Synthesis of Amines

AbstractEarth abundant metal‐based heterogeneous catalysts with highly active and at the same time stable isolated metal sites constitute a key factor for the advancement of sustainable and cost‐effective chemical synthesis. In particular, the development of more practical, and durable iron‐based materials is of central interest for organic synthesis, especially for the preparation of chemical products related to life science applications. Here, we report the preparation of Fe‐single atom catalysts (Fe‐SACs) entrapped in N‐doped mesoporous carbon support with unprecedented potential in the preparation of different kinds of amines, which represent privileged class of organic compounds and find increasing application in daily life. The optimal Fe‐SACs allow for the reductive amination of a broad range of aldehydes and ketones with ammonia and amines to produce diverse primary, secondary, and tertiary amines including N‐methylated products as well as drugs, agrochemicals, and other biomolecules (amino acid esters and amides) utilizing green hydrogen.

Development of Iron-Based Single Atom Materials for General and Efficient Synthesis of Amines.

Earth abundant metal-based heterogeneous catalysts with highly active and at the same time stable isolated metal sites constitute a key factor for the advancement of sustainable and cost-effective chemical synthesis. In particular, the development of more practical, and durable iron-based materials is of central interest for organic synthesis, especially for the preparation of chemical products related to life science applications. Here, we report the preparation of Fe-single atom catalysts (Fe-SACs) entrapped in N-doped mesoporous carbon support with unprecedented potential in the preparation of different kinds of amines, which represent privileged class of organic compounds and find increasing application in daily life. The optimal Fe-SACs allow for the reductive amination of a broad range of aldehydes and ketones with ammonia and amines to produce diverse primary, secondary, and tertiary amines including N-methylated products as well as drugs, agrochemicals, and other biomolecules (amino acid esters and amides) utilizing green hydrogen.

Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models.

Fine-tuning pretrained protein language models (PLMs) has emerged as a prominent strategy for enhancing downstream prediction tasks, often outperforming traditional supervised learning approaches. As a widely applied powerful technique in natural language processing, employing parameter-efficient fine-tuning techniques could potentially enhance the performance of PLMs. However, the direct transfer to life science tasks is nontrivial due to the different training strategies and data forms. To address this gap, we introduce SES-Adapter, a simple, efficient, and scalable adapter method for enhancing the representation learning of PLMs. SES-Adapter incorporates PLM embeddings with structural sequence embeddings to create structure-aware representations. We show that the proposed method is compatible with different PLM architectures and across diverse tasks. Extensive evaluations are conducted on 2 types of folding structures with notable quality differences, 9 state-of-the-art baselines, and 9 benchmark data sets across distinct downstream tasks. Results show that compared to vanilla PLMs, SES-Adapter improves downstream task performance by a maximum of 11% and an average of 3%, with significantly accelerated convergence speed by a maximum of 1034% and an average of 362%, the training efficiency is also improved by approximately 2 times. Moreover, positive optimization is observed even with low-quality predicted structures. The source code for SES-Adapter is available at https://github.com/tyang816/SES-Adapter.

Occupational inequalities in mortality from cardiovascular disease, 2020-2021.

In recent years previous declines in cardiovascular disease (CVD) have stalled. There are occupational risk factors for CVD mortality. This study seeks to examine inequalities in CVD mortality for working-age adults in the United States by occupation. Death certificate data for CVD deaths were obtained from the National Center for Health Statistics. Occupation data from these death certificates were coded to major occupation groups. Using information about the number of workers employed in these occupations obtained from the American Community Survey, we calculated mortality rates and rate ratios (RRs), adjusted for covariates associated with CVD mortality. After adjusting for age, sex, race/ethnicity, and educational attainment, workers in 11 occupations had significantly elevated RRs: food preparation and serving; construction and extraction; arts, design, entertainment, sports, and media; life, physical, and social science; farming, fishing, and forestry; legal; protective services; building and grounds cleaning and maintenance; healthcare practitioners and technical; personal care and service; and community and social services. Occupation appears to be a significant predictor of CVD mortality. Further research is needed to assess how occupational risk factors contribute to changing trends for CVD mortality. Interventions are needed to address workplace risk factors for CVD.

Moral sensitivity, moral courage, and ethical behaviour among clinical nurses.

Background: Ethical behaviour in nursing practice is integral to establishing a harmonious nurse-patient relationship and improving the quality of care. A multitude of factors shapes such behaviour. Therefore, it is crucial to understand the interplay between these factors. Research objectives: This study aimed to explore the mechanisms underlying the influence of moral sensitivity on nurses' ethical behaviour and clarify the mediating role of moral courage. Research design: This cross-sectional quantitative study was conducted between July and August 2023. Participants and Research Context: The sample comprised 465 clinical nurses from three tertiary hospitals in Zhengzhou City, Henan Province, China. Data were collected using the Chinese version of the Moral Sensitivity Questionnaire-Revised Version, Nurses' Moral Courage Scale, and Ethical Behaviour Scale for Nurses. Data analysis was performed with SPSS 26.0 and AMOS 24.0, using descriptive statistics, Pearson correlation analysis, structural equation modelling, and bootstrapping methods. Ethical considerations: This study was approved by the Ethical Review Committee of Life Sciences of Zhengzhou University, China. Results: The participants were predominantly female (95.1%), with a mean age of 31.9 years. Moral courage and moral sensitivity were positively correlated with ethical behaviour. Moral sensitivity was positively associated with moral courage. Moral courage partially mediates the relationship between moral sensitivity and ethical behaviour. The indirect effect of nurses' moral sensitivity on ethical behaviour was quantified through moral courage (indirect effect = 0.290). Conclusion: Moral courage intermediates nurses' moral sensitivity and ethical behaviour. This conclusion provides nursing administrators with the insight that improving clinical nurses' moral sensitivity and courage can contribute to ensuring appropriate ethical behaviour.

Early detection of abiotic stress in plants through SNARE proteins using hybrid feature fusion model.

Agriculture is the main source of livelihood for most of the population across the globe. Plants are often considered life savers for humanity, having evolved complex adaptations to cope with adverse environmental conditions. Protecting agricultural produce from devastating conditions such as stress is essential for the sustainable development of the nation. Plants respond to various environmental stressors such as drought, salinity, heat, cold, etc. Abiotic stress can significantly impact crop yield and development posing a major threat to agriculture. SNARE proteins play a major role in pathological processes as they are vital proteins in the life sciences. These proteins act as key players in stress responses. Feature extraction is essential for visualizing the underlying structure of the SNARE proteins in analyzing the root cause of abiotic stress in plants. To address this issue, we developed a hybrid model to capture the hidden structures of the SNAREs. A feature fusion technique has been devised by combining the potential strengths of convolutional neural networks (CNN) with a high dimensional radial basis function (RBF) network. Additionally, we employ a bi-directional long short-term memory (Bi-LSTM) network to classify the presence of SNARE proteins. Our feature fusion model successfully identified abiotic stress in plants with an accuracy of 74.6%. When compared with various existing frameworks, our model demonstrates superior classification results.

Must we lose our biological connection to nature to endure changing times?

AbstractEarth has >8 billion people. Scholarly publications number nearly 7 million annually with >1 million in the life and biomedical sciences, and ≥52 professional journals specializing in conservation, ecology, or related disciplines. The challenges of applying ecological data to conservation and wildlife management can easily become overwhelming. Herein we offer reflective perspectives about the changing face of applied knowledge and engagement from our personal employment histories as ecologists working in agency, university, and non‐governmental organization (NGO) biologist positions. We suggest natural history will always be nature's glue, but knowledge steeped mostly in muddy boots and field biology are no longer the soup du jour of our profession. In many ways, new technologies have changed data collection and the scientific questions asked. Arguably, such change is not welcomed by all, but a change in overlap across decades is needed to sustain and improve upon how the planet's biological diversity can coexist with increasingly difficult human conditions. Given that 80% of the people in the United States live in urban areas, with similar numbers internationally, a future possibility may be an even greater divide between wild nature, ecological services, and enjoyment in the field. This is disturbing. Despite fundamental scientific insights that help understand critical components of the natural world, once society loses touch with nature, what will remain?

Surface Microfabrication of Lactic Acid–Glycolic Acid Copolymers Using a Gas-Permeable Porous Mold

We attempted to perform surface microfabrication of the bioabsorbable material lactic acid–glycolic acid copolymer (LG-80) using a micro-imprint lithography technique with a gas-permeable porous mold at less than 5 °C. As a result, high-resolution surface micromachining with a height of 1.26 μm and a pitch of 2.97 μm was achieved using a convex sapphire mold with a height of 1.3 μm and a pitch of 3 μm. After processing, the LG-80 exhibited high water repellency, and FT-IR analysis of the surface showed no significant change in its chemical structure, confirming that the surface microfabrication was successful, while retaining the properties of the material. This demonstrated new possibilities for surface microfabrication technology for bioabsorbable materials, which are expected to be applied in the medical and life science fields in products such as surgical implants, tissue regeneration materials, and cell culture scaffold materials. In particular, the use of micro-imprint lithography enables low-cost and high-precision processing, which will be a major step toward the practical application of bioabsorbable materials.

Investigation of Activities Related to Specific Days and Weeks in Life Science Course in the Context of Classroom Teachers' Opinions

Investigation of Activities Related to Specific Days and Weeks in Life Science Course in the Context of Classroom Teachers' Opinions

A frugal CRISPR kit for equitable and accessible education in gene editing and synthetic biology

Equitable and accessible education in life sciences, bioengineering, and synthetic biology is crucial for training the next generation of scientists, fostering transparency in public decision-making, and ensuring biotechnology can benefit a wide-ranging population. As a groundbreaking technology for genome engineering, CRISPR has transformed research and therapeutics. However, hands-on exposure to this technology in educational settings remains limited due to the extensive resources required for CRISPR experiments. Here, we develop CRISPRkit, an affordable kit designed for gene editing and regulation in high school education. CRISPRkit eliminates the need for specialized equipment, prioritizes biosafety, and utilizes cost-effective reagents. By integrating CRISPRi gene regulation, colorful chromoproteins, cell-free transcription-translation systems, smartphone-based quantification, and an in-house automated algorithm (CRISPectra), our kit offers an inexpensive (~$2) and user-friendly approach to performing and analyzing CRISPR experiments, without the need for a traditional laboratory setup. Experiments conducted by high school students in classroom settings highlight the kit’s utility for reliable CRISPRkit experiments. Furthermore, CRISPRkit provides a modular and expandable platform for genome engineering, and we demonstrate its applications for controlling fluorescent proteins and metabolic pathways such as melanin production. We envision CRISPRkit will facilitate biotechnology education for communities of diverse socioeconomic and geographic backgrounds.

Toothbrushing programme in Saudi Arabia ‘TOPS’: a study protocol for a cluster randomised controlled trial in kindergartens, Riyadh

IntroductionDental caries among children is a major global health problem and is a particular public health challenge in Saudi Arabia. Dental caries cause pain, infection and negatively impact quality of...

A methodological approach to age estimation of the intra-puparial period of the forensically relevant blow fly Calliphora vicina via Fourier transform infrared spectroscopy.

Estimating the age of immature blow flies is of great importance for forensic entomology. However, no gold-standard technique for an accurate determination of the intra-puparial age has yet been established. Fourier transform infrared (FTIR) spectroscopy is a method to (bio-)chemically characterise material based on the absorbance of electromagnetic energy by functional groups of molecules. In recent years, it also has become a powerful tool in forensic and life sciences, as it is a fast and cost-effective way to characterise all kinds of material and biological traces. This study is the first to collect developmental reference data on the changes in absorption spectra during the intra-puparial period of the forensically important blow fly Calliphora vicina Robineau-Desvoidy (Diptera: Calliphoridae). Calliphora vicina was reared at constant 20°C and 25°C and specimens were killed every other day throughout their intra-puparial development. In order to investigate which part yields the highest detectable differences in absorption spectra throughout the intra-puparial development, each specimen was divided into two different subsamples: the pupal body and the former cuticle of the third instar, that is, the puparium. Absorption spectra were collected with a FTIR spectrometer coupled to an attenuated total reflection (ATR) unit. Classification accuracies of different wavenumber regions with two machine learning models, i.e., random forests (RF) and support vector machines (SVMs), were tested. The best age predictions for both temperature settings and machine learning models were obtained by using the full spectral range from 3700 to 600 cm-1. While SVMs resulted in better accuracies for C. vicina reared at 20°C, RFs performed almost as good as SVMs for data obtained from 25°C. In terms of sample type, the pupal body gave smoother spectra and usually better classification accuracies than the puparia. This study shows that FTIR spectroscopy is a promising technique in forensic entomology to support the estimation of the minimum post-mortem interval (PMImin), by estimating the age of a given insect specimen.

Building Research Communities for Life Science Transfer Students: Improving Retention and Student Outcomes

Building Research Communities for Life Science Transfer Students: Improving Retention and Student Outcomes

The Effect of Student-Centered Teaching Methods and Techniques on Academic Achievement in Life Sciences Teaching: A Meta-Analysis Study

In this study, it was aimed to determine the general effect of student-centered teaching on students' academic achievement in life science teaching. For this purpose, 25 theses scanned in YÖK Thesis Center, having open access permission and methodologically meeting the criteria for inclusion in meta-analysis constituted the data of this study. From 25 thesis studies, 26 effect values were calculated by meta-analysis method. Cohen's g value was used to determine the effect values. The studies included in the meta-analysis were first tested for publication bias using the Rosenthal method and funnel plot. In addition, Z value, significance of Z value, Q value and chi-square distribution values at 25 degrees of freedom were used to decide the meta-analysis model. It was found that the studies included in the meta-analysis did not show publication bias and were heterogeneously distributed. Accordingly, meta-analysis was conducted according to the random effects model. According to the findings obtained in the study, it was seen that each study included in the analysis independently positively affected students' academic achievement. It was determined that the overall effect size of the studies integrated according to the random effects model was 1.028. From this point of view, it was concluded that student-centered teaching methods and techniques in life science teaching have a large positive effect on students' academic achievement.

The life sciences and the history of analytic philosophy.

Comparative to the commonplace focus onto developments in mathematics and physics, the life sciences appear to have received relatively sparse attention within the early history of analytic philosophy. This paper addresses two related aspects of this phenomenon. On the one hand, it asks: to the extent that the significance of the life sciences was indeed downplayed by early analytic philosophers, why was this the case? An answer to this question may be found in Bertrand Russell's 1914 discussions of the relation between biology and philosophy. Contrary to received views of the history of analytic philosophy, Russell presented his own 'logical atomism' in opposition not only to British Idealism, but also to 'evolutionism'. On the other hand, I will question whether this purported neglect of the life sciences does indeed accurately characterise the history of analytic philosophy. In answering this, I turn first to Susan Stebbing's criticisms of Russell's overlooking of biology, her influence on J.H. Woodger, and her critical discussion of T.H. Huxley's and C.H. Waddington's application of evolutionary views to philosophical questions. I then discuss the case of Moritz Schlick, whose evolutionist philosophy has been overlooked within recent debates concerning Logical Empiricism's relation to the philosophy of biology.

Artistic mutilation of genitalia: an interpretive analysis of representations of genitalia in Indian school science textbooks

ABSTRACT Visual representations (and their censorship) are carriers of messages and are powerful tools to invoke discourses. Visuals are not just supplements to written text; rather, these can be read independently as the primary text and are crucial to scientific communication, particularly in life sciences. This paper aims to investigate various textbook depictions of genitalia and examine how ideologies are manifested through visuals in relation to the human body. Here we try to unpack the visual representations of genitalia in different discursive spaces within Indian science textbooks from 6th to 12th grade. We position our study within the hermeneutic methodological landscape and apply the socio-semiotic analytic framework developed by Serafini [Serafini, Frank. 2010. “Reading Multimodal Texts: Perceptual, Structural and Ideological Perspectives.” Children's Literature in Education 41 (2): 85–104. https://doi.org/10.1007/s10583-010-9100-5], consisting of three analytic perspectives: perceptual, structural, and ideological, to interpret the visual images of genitalia and the ideological matrix that produced these images. Our analysis of textbooks' portrayal reveals a tendency to censor or obscure genital depictions. The paper discusses the potential effects of these representations on students' health and relationships with their bodies and argues that they must engage in dialogue with discourses challenging normative understandings of the body and remain open to change.