Joule, a sister journal to Cell, is a home for outstanding and insightful research, analysis and ideas addressing a key global challenge: the need for more sustainable energy. Joule is a distinctive and forward-looking journal, bridging disciplines and scales of energy research. Joule connects all who are researching and analyzing the challenges — scientific, technical, economic, policy and social — of providing sustainable energy solutions. Joule spans scales of energy research, from fundamental laboratory research into energy conversion and storage up to impactful analysis at the global level. Joule will purposefully highlight and amplify the implications, challenges and opportunities of novel energy research for different groups working across the entire spectrum of the field.
One Earth is Cell Press’ flagship sustainability journal. One Earth provides a home for high-quality research and perspectives that significantly advance our ability to better understand and address today’s sustainability challenges. We publish monthly thematic issues that aspire to break down barriers between the natural, social and applied sciences and the humanities, stimulate the cross-pollination of ideas, and encourage transformative research.
The study explored the clinical implications of metabolic dysfunction-associated steatotic liver disease (MASLD) by assessing its prevalence and associated cardiovascular disease (CVD) risk in over 9.7 million Korean adults. Findings revealed a 27.5% prevalence of MASLD, with additional cases involving increased alcohol intake (MetALD) or other etiologies contributing to the overall prevalence of MASLD/related steatotic liver disease (SLD). Over a median follow-up of 12.3 years, those with MASLD/related SLD exhibited a significantly higher cumulative incidence and adjusted risk of CVD events compared to those without these conditions. This underscores the high CVD risk among individuals with MASLD/related SLD, affecting over a third of the studied population.
Good article!!! This study reveals that the biogenesis of the human TFIID complex, essential for initiating gene expression, occurs co-translationally, with all heterodimerization steps happening during protein synthesis. By employing RNA-immunoprecipitation, single-molecule imaging, proteomics, and structure-function analyses, the researchers identified TAF1 as a key scaffold for assembling TFIID submodules. This finding suggests a hierarchical model for TFIID assembly and hints that similar strategies may be used in the formation of other large protein complexes.
The study introduces "dsb," a method to normalize and denoise droplet-based protein expression data by addressing technical noise, which often obscures biological variations in multimodal single-cell profiling techniques. Through identifying protein-specific and cell-to-cell technical noise sources and validating across multiple datasets, dsb significantly enhances the detection of biologically meaningful cell populations compared to existing normalization methods.
Building kinetic models in metabolic engineering involves mapping out key metabolic pathways, gathering enzyme kinetics data, and formulating these into mathematical models to predict how genetic modifications affect product synthesis. This process includes collecting enzyme parameters, integrating these into a network model, validating with experimental data, and conducting simulations to guide genetic engineering efforts for improved compound production. Iterative model refinement based on new data enhances predictive accuracy and production efficiency.
Advancements in modular metabolic engineering help optimize microbial production of biobased chemicals by fine-tuning engineered pathways and employing microbial consortia, improving efficiency and supporting a sustainable biobased economy.
Metabolic engineering enhances molecule production across multiple industries through genetic tweaks in microbial metabolism. This review covers its core process, key applications, case studies, and future outlook.
Systems metabolic engineering integrates systems biology, synthetic biology, and evolutionary engineering with traditional metabolic engineering to enhance the development of microbial strains for efficient production of chemicals and materials. It focuses on host strain selection, metabolic pathway reconstruction, tolerance enhancement, and metabolic flux optimization, aiming to address future challenges and improve industrial competitiveness.
This is a special 3-year R21 grant for new investigators (traditional R21 is 2 years). Direct cost is $400,000 which is higher than the traditional R21.
This work highlights the use of Recurrent Neural Networks (RNNs) for fault detection and isolation (FDI) in critical industries, demonstrating their effectiveness over traditional methods like principal component analysis and artificial neural networks. RNNs leverage past data to quickly identify and isolate system anomalies, offering a simpler yet efficient approach to maintaining fault-free operations.
A study at the University Hospitals of Derby and Burton NHS Foundation Trust from October 2022 to September 2023 showed that Outpatient Parenteral Antimicrobial Therapy (OPAT) significantly improved health-related quality of life, as evidenced by increased EQ-5D-3L scores, indicating its effectiveness in enhancing patient well-being and enabling a quicker return to normal activities.
This study investigated the change in expression and co-expression of TNF receptors (TNFRs) in patients with varying durations of rheumatoid arthritis (RA) or asthma, finding that longer disease duration leads to significant redistribution of receptors across immune cells, with an increase in TNFR1 expression in asthma but not in RA. The research highlights disease-specific differences in the long-term adaptation of the immune system, showing a correlation between receptor expression changes and irreversible morphostructural alterations, with distinct patterns for autoimmune (RA) and allergic (asthma) conditions.
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