Immunometabolism: The Dynamic Interplay of Cytokines and Metabolites

Immunometabolism is the study of how metabolic processes influence immune cell functions and how immune responses, in turn, shape cellular metabolism. This field examines the roles of cytokines and metabolites, which act as signaling molecules and energy sources, respectively. Cytokines can trigger or modulate metabolic pathways in immune cells, affecting their activation, growth, and response capabilities. Similarly, metabolites provide the necessary energy and building blocks that enable immune cells to proliferate, function optimally, and sustain their activity during immune responses. This dynamic interplay is crucial for maintaining health and combating disease. Together, cytokines and metabolites orchestrate a complex network that links metabolic health with immune competence on a systemic and cellular level. This blog discusses how cytokines and metabolites not only influence but also drive immune cell functions, revealing new avenues for therapeutic interventions across a range of diseases.

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From Tracers to Kinetic Selectivity: Highlights from the Target Engagement in Chemical Biology Symposium

In April 2024, Promega hosted the “Target Engagement in Chemical Biology Symposium” at the Kornberg Center, a research and development hub on Promega’s campus in Madison, Wisconsin. The goal of the symposium was to gather interdisciplinary researchers interested in the field of small molecule target engagement to foster collaboration through knowledge sharing and innovation. The symposium featured a 1.5-day agenda packed with 23 speakers, 4 workshops, poster sessions and social events. Over 130 attendees gathered to participate in the multifaceted event, with participants from different geographic regions and in different research sectors from academia to government to industry.  

People gather in a large atrium with scientific posters and table displays.
Attendees gather for the poster session in Kornberg Atrium. Photo by Anna Bennett (Promega Corporation)

The symposium highlighted the collective commitment to overcoming the challenges in drug discovery by developing more targeted and efficacious treatments, driven by a shared determination to create innovative solutions that address unmet medical needs. While we cannot share all the exciting research presented at the symposium, we are thrilled to highlight a few talks that exemplify the novel work and collaborative spirit of this research community.  

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Rethinking Cell Proliferation Assays

In the field of cancer research, accurately measuring cell proliferation is crucial for assessing the efficacy of therapeutic agents. This is particularly difficult with CDK 4/6 inhibitors, which arrest cells in the G1 phase without stopping their growth. This continued growth can skew results from proliferation assays which rely on factors that naturally scale with cell growth. These include mitochondrial activity (ATP levels), total cell protein, or mRNA as measured through the PRISM molecular barcoding strategy. Even though these cells are not dividing, the increase in these measurements can misleadingly suggest active proliferation.

There is growing awareness among researchers of these challenges.  A recent study highlights these limitations by demonstrating the discrepancies that arise when using metabolic assays to assess cell proliferation after treatment with drugs that induce cell cycle arrest. This blog post delves into the study’s implications and demonstrates how one of Promega’s latest developments is poised to address these challenges.

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Decoding the NAD+/NADH Ratio and Its Crucial Role in Cell Health

Nicotinamide adenine dinucleotide (NAD) exists in two forms in the cell: NAD+ (oxidized) and NADH (reduced). This molecule plays a pivotal role in metabolic processes, serving as a key electron carrier in the redox reactions that drive cellular metabolism. The balance between these two forms, commonly expressed as the NAD+/NADH ratio, is crucial for maintaining cellular function and the intracellular redox state. This article explores the significance of this ratio, how it impacts cellular processes, and the consequences of NAD+/NADH ratio dysregulation.

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What do Exosomes have to do with Cancer Research?

microRNA that is inside exosomes

Discovered in 1983 and initially dismissed as ‘cellular dust,’ exosomes have since emerged as pivotal players in biomedical research due to their roles in intercellular communication, potential as drug delivery vectors and as biomarkers for various diseases. These small extracellular vesicles, measuring 30–150nm, are crucial for transferring proteins, lipids, and nucleic acids — including microRNA (miRNA), mRNA, and non-coding RNA– between cells (1). miRNAs are particularly critical as they regulate gene expression and offer insights into the cellular mechanisms underlying diseases like cancer, enhancing the value of exosomes in cancer research.

Beyond exosomes importance in understanding intracellular communication and organ cross-talk, exosomes can also alter the functions of recipient cells based on their cargo. This capability makes them extremely valuable in providing insights into alterations in cellular communication, tumor microenvironments, metastasis and immune evasion.

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Our Maxwell® Travels from Spain to Antarctica to Help Stop the Avian Flu Virus

In January 2024, Antonio Alcamí and Ángela Vázquez, virologists from the Severo Ochoa Centre for Molecular Biology, landed in Antarctica to study the avian flu virus. They embarked on a journey to monitor 17,000 penguins as part of their efforts to study the virus and prevent its spread. Our Maxwell® RSC 48 was delivered to extract nucleic acids from the samples, which are set to be analyzed using qPCR.

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An Introduction to Lyophilization: Process, Benefits & Possibilities

Amber glass bottle filled with lyophilized beads sitting on a lab bench.

Lyophilization is a process designed to remove water from a sample or product through a controlled freezing and vacuum application. The method leverages the triple point of water, where solid, liquid, and gas phases coexist under specific temperature and pressure conditions. The result is a room temperature stable product that is much lighter than the original sample or product.

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Connecting Synaptic Gene Polymorphisms to Parkinson’s Disease

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Neurodegenerative disorders represent a significant and growing concern in the realm of public health, particularly as global populations age. Among these, Parkinson’s disease (PD) stands out due to its increasing prevalence and profound impact on individuals. Characterized by the progressive degeneration of motor functions, PD is not just a health challenge but also poses substantial socio-economic burdens. While the etiology of Parkinson’s disease is far from simple, current research efforts elucidating its causes, mechanisms, and potential treatments illustrate the critical nature of this neurodegenerative disorder in today’s healthcare landscape.

In the clinic, Parkinson’s disease is often diagnosed as either sporadic or familial. Familial PD has a clear genetic basis, typically passed down through families, while sporadic PD, comprising about 90% of cases, occurs in individuals without a known family history of the disease. The exact cause of sporadic PD is not fully understood but is believed to be due to a combination of genetic predispositions and environmental factors. In contrast, the factors involved in familial PD are more thoroughly understood, offering insights into the molecular mechanisms underlying PD pathogenesis.

Polymorphisms and Parkinson’s Disease Susceptibility

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Transform Your Research Lab with our Comprehensive Automation Resources

Futuristic Artificial Intelligence Robotic Arm Operates and Moves a Metal Object, Picks It Up and Puts it Down. Scene is Taken in a High Tech Research Laboratory with Modern Equipment.

In an era where science moves at a rapid pace, integrating automation into your lab is not just beneficial but essential. When you automate your lab, you free up an invaluable resource: time. From scaling up operations and handling increased demand to improving consistency and reducing manual errors, automation can be the key to achieving higher throughput, saving costs, and—most importantly—enabling researchers to focus on the science rather than the process. However, embarking on a lab automation project requires careful planning, clear goals and an understanding of the intricacies involved in automating complex biological workflows.

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Will Artificial Intelligence (AI) Transform the Future of Life Science Research?

Artificial intelligence (AI) is not a new technological development. The idea of intelligent machines has been popular for several centuries. The term “artificial intelligence” was coined by John McCarthy for a workshop at Dartmouth College in 1955 (1), and this workshop is considered the birthplace of AI research. Modern AI owes much of its existence to an earlier paper by Alan Turing (2), in which he proposed the famous Turing Test to determine whether a machine could exhibit intelligent behavior equivalent to—or indistinguishable from—that of a human.

The explosive growth in all things AI over the past few years has evoked strong reactions from the general public. At one end of the spectrum, some people fear AI and refuse to use it—even though they may have unwittingly been using a form of AI in their work for years. At the other extreme, advocates embrace all aspects of AI, regardless of potential ethical implications. Finding a middle ground is not always easy, but it’s the best path forward to take advantage of the improvements in efficiency that AI can bring, while still being cautious about widespread adoption. It’s worth noting that AI is a broad, general term that covers a wide range of technologies (see sidebar).

AI personified looking at a dna double helix against an abstract cosmic background
Image generated with Adobe Firefly v.2.

For life science researchers, AI has the potential to address many common challenges; a previous post on this blog discussed how AI can help develop a research proposal. AI can help with everyday tasks like literature searches, lab notebook management, and data analysis. It is already making strides on a larger scale in applications for lab automation, drug discovery and personalized medicine (reviewed in 3–5). Significant medical breakthroughs have resulted from AI-powered research, such as the discovery of novel antibiotic classes (6) and assessment of atherosclerotic plaques (7). A few examples of AI-driven tools and platforms covering various aspects of life science research are listed here.

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