Before the First Dose

Kierkegaard observed that one of humanity’s enduring tensions is that while life can only be understood backwards, it must be lived forwards. It’s a truth medicine knows intimately: in the treatment that worked until it didn’t, the resistance that arrived without warning, the moment a doctor has to tell a patient that the drug that was helping has stopped. Not because anyone made a mistake, but because the critical knowledge that would have mattered arrived too late, if at all.

A recent paper from the National Cancer Institute is, in a small but meaningful way, science’s pursuit of that elusive foresight: an understanding that emerges early enough, for once, to change what happens next.

The Elegant Idea

For decades, chemotherapy has worked by brute force, flooding the body with toxins designed to kill rapidly dividing cells. The problem is that rapid division isn’t unique to cancer. Hair follicle cells, gut lining cells and immune cells also divide rapidly, which is why patients lose hair, lose energy and become susceptible to infection. Chemotherapy targets a behavior, but the drug has no way to tell a healthy cell from a cancerous one.

Antibody-drug conjugates (ADCs) change that. Instead of targeting what cancer cells do, they target what cancer cells are. Cancer cells tend to display certain proteins on their surface in far greater numbers than healthy cells do. The antibody is engineered to seek out those proteins specifically. It navigates to its target, binds and waits for the cell to do what cells routinely do: pull it inside. Once there, the cell’s own digestive machinery (the lysosome) breaks down the chemical tether holding the toxin to the antibody, releasing the toxin to kill the cell from within. More than a dozen ADCs have received FDA approval in recent years, and the field is evolving fast.

What the Cell Does Next

But cancer cells don’t simply accept their fate. Even when an ADC delivers its payload perfectly—the antibody finds its target, the cell pulls it inside, the lysosome cuts the tether—a pump embedded in the cell membrane can grab the released toxin and throw it back out before it causes damage.

The delivery worked. The package got ejected anyway.

These pumps—ATP-binding cassette transporters, or more plainly, efflux pumps—are a normal feature of cell biology. Their job is cellular housekeeping, clearing out unwanted or toxic substances before they cause damage. Under the pressure of drug treatment, cancer cells do what life has always done under pressure: the ones best equipped to survive do. The same mechanism that has shaped living things for billions of years now works against the treatment. Not all cancer cells are identical, and the ones that happen to produce more pumps survive while others don’t, gradually shifting the tumor toward resistance.

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Detecting Neuroinflammation in Microglia and Astrocytes

The brain is one of the most complex and fascinating parts of biology. Thankfully, it’s also remarkably good at protecting itself. When exposed to a pathogen, an injury or even misfolded proteins, microglia and astrocytes function as the central nervous system’s (CNS) primary immune defenders. They mount an inflammatory response by releasing cytokines and working to contain the damage. Yet this same system can malfunction or not resolve, which manifests as devastating consequences.

Chronic neuroinflammation is now recognized as a shared characteristic across some of the most common and difficult-to-treat neurological conditions. A 2023 review in Signal Transduction and Targeted Therapy highlighted the dualistic nature of neuroinflammation: while acute responses serve a protective role, chronic or dysregulated inflammatory signaling can initiate and accelerate neurodegeneration, identifying these pathways as priority targets for therapeutic intervention (Zhang et al., 2023). A 2025 review in Science reinforced this view, noting that within Multiple Sclerosis, disease-modifying therapies targeting neuroinflammation have seen the most clinical success (Shi & Yong, 2025). This could suggest applications within neurological conditions where the same inflammatory mechanisms are at work.

Understanding how and where these inflammatory signals originate in the CNS is an active area of preclinical research. One cytokine being actively studied is IL-6. IL-6 is produced by several cell types, including astrocytes and microglia in the CNS. As a key mediator of inflammatory responses, it mediates pro-inflammatory effects through its trans-signaling, which occurs via soluble IL-6 receptors. Dysregulation of this mechanism may contribute to the chronic neuroinflammation seen in several neurological conditions. Characterizing how and when IL-6 is secreted from CNS cells is an important step toward understanding the neuroinflammatory processes underlying these disorders.

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Your Media Choice Might Be Designing Your T-Cell Fate

Why Metabolism Matters in T-Cell Expansion

Adoptive T-cell therapies rely on generating metabolically fit, functional cells during ex vivo expansion—but this process often pushes T cells toward highly glycolytic, terminally differentiated states that limit their persistence and therapeutic potential. These metabolic programs begin shifting within hours of activation, therefore understanding early metabolic remodeling is essential for designing culture conditions that support durable, cytotoxic, and memory-enriched T-cell populations.

Researchers at Promega set out to address this challenge by systematically mapping how media composition and activation strength shape T-cell metabolism during the first 72 hours after stimulation. Using a suite of bioluminescent assays, they profiled intracellular energy cofactors, redox balance, and extracellular metabolites across several conditions. This approach revealed distinct, media-driven metabolic states that not only emerged early but also predicted downstream expansion, proliferation, and cytotoxic function.

Their work demonstrates how integrating metabolic profiling into in vitro expansion workflows can provide a more informed framework for optimizing T-cell manufacturing strategies.

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Insights from 3D Liver Models: Rethinking Fatty Liver Disease with Hormone Correction

Liver disease is a global health challenge, affecting millions each year. The liver has a remarkable ability to regenerate; however, chronic damage arising from obesity, alcohol, or metabolic dysfunction can lead to irreversible failure. At the University of Edinburgh’s Centre for Regenerative Medicine, Professor David Hay’s lab is developing innovative ways to study liver function and disease using a lab-grown mini-organ. In this blog, we highlight how Dr. Hay’s lab is redefining liver disease research through 3D models that reveal how hormones influence metabolic health.

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Cellular Selectivity Profiling: Unveiling Novel Interactions and More Accurate Compound Specificity

This blog was written by guest contributor Tian Yang, Associate Product Manager, Promega, in collaboration with Kristin Huwiler, Manager, Small Molecule Drug Discovery, Promega.

Determining the selectivity of a compound is critical during chemical probe or drug development. In the case of chemical probes, having a clearly defined mechanism of action and specific on-target activity are needed for a chemical probe to be useful in delineating the function of a biological target of interest in cells. Similarly, optimizing a drug candidate for on-target potency and reducing off-target interactions is important in the drug development process (1,2). A thorough understanding of the selectivity profile of a drug can facilitate drug repurposing, by enabling approved therapeutics to be applied to new indications (3). Interestingly, small molecule drugs do not necessarily require the same selectivity as a chemical probe, since some drugs may benefit from polypharmacology to achieve their desired clinical outcome.

Selectivity profiling panels based on biochemical methods have commonly been used to assess compound specificity for established target classes in drug discovery and chemical probe development. Biochemical assays are target-specific and often quantitative, enabling direct measurements of compound affinities for targets of interest and facilitate comparison of compound engagement to a panel of targets. As an example, several providers offer kinase selectivity profiling services using different assay formats and kinase panels comprised of 100 to 400 kinases (4). However, just as biochemical target engagement does not always translate to cellular activity, selectivity profiles based on biochemical platforms may not reflect compound selectivity in live cells (5).

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Unlocking the Power of Live-Cell Kinetics in Degrader Development

In targeted protein degradation (TPD), timing is everything. Understanding not just whether a degrader works—but how fast, how thoroughly and how sustainably—can dramatically influence early discovery decisions. Dr. Kristin Riching (Promega) dove into the real-time world of degradation kinetics in the webinar: Degradation in Motion: How Live-Cell Kinetics Drive Degrader Optimization, sharing how dynamic data provides a clearer view of degrader performance than traditional endpoint assays.

Whether you’re exploring your first PROTAC or optimizing a molecular glue series, the expertise offered in Dr. Riching’s presentation gives you actionable insights that will help you connect kinetic data to better therapeutic design.

3D visualization of a protein structure within a live-cell environment, highlighting the interaction site relevant to targeted protein degradation, set against a dark cellular background to emphasize kinetic dynamics.
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Exploring the Relationship Between IC50 and Kd in Pharmacology

This guest blog post is written by Tian Yang, Associate Product Manager at Promega.

In the realm of chemical probe development and drug discovery, understanding the interactions between drugs/compounds and their targets is crucial. Two frequently used metrics to characterize these interactions are IC50 and Kd, which guide researchers in evaluating the potential of compounds in effecting changes in target function. IC50 offers insights into a compound’s potency by quantifying its ability to inhibit a specific biological activity. Kd provides a measure of the affinity between a ligand and its receptor, reflecting how tightly a compound binds to its target (1). Together, these parameters are instrumental in the early stages of drug development, helping to identify promising candidates by assessing a compounds’s binding characteristics and its observed efficacy.

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Drug Target Confirmed? Tivantinib’s Lesson on the Importance of Cellular Target Engagement

This guest blog post is written by Tian Yang, Associate Product Manager at Promega.

There are often challenges with translating results from a test tube into a living system, demanding more physiologically relevant assays. In drug discovery, demonstrating a compound’s ability to modulate its target protein in live cells is a critical step in the hit-to-lead workflow. A variety of cell-based assays can be used to assess a compound’s activity in live cells. Take kinase inhibitors as an example, these assays can range from substrate phosphorylation assays that more directly report on the activity of target kinases, to genetic reporter assays or cell viability assays that assess the downstream effects of target modulation.

In the case of Tivantinib, several pieces of data from its development were used to establish its role as an inhibitor of MET kinase. MET Kinase is a prominent target for anti-cancer therapeutics due to frequent MET dysregulation in a wide range of tumors. For example, over-activation of MET drives cancer proliferation and metastasis. In the initial report on Tivantinib, in addition to biochemical activity assays performed with purified MET, the activity of Tivantinib in cells was verified by several methods, including: 1) inhibition of phosphorylation of MET and downstream signaling pathways, 2) cytotoxicity in cancer cell lines expressing MET, and 3) antitumor activity in xenograft mouse models (1). Additionally, a co-crystal structure of the MET-Tivantinib complex was solved, seemingly confirming that Tivantinib is a bona fide MET inhibitor capable of engaging MET in live cells (2). Based on these observations and other pre-clinical data, Tivantinib appeared to be a promising drug candidate and was taken through phase 3 clinical trials targeting cancers with MET overexpression. However, Tivantinib ultimately was not approved as a new therapeutic, failing to show efficacy in these phase 3 clinical trials (3,4).  

Within three years of the initial publication on Tivantinib, two separate articles challenged the mechanism of action in Tivantinib-induced cytotoxicity of tumor cells (5,6). Authors for both articles showed that Tivantinib can kill both MET-addicted and nonaddicted cells with similar potency. Both articles also concluded that perturbation of microtubule dynamics, instead of MET inhibition, is likely responsible for the cytotoxicity observed with Tivantinib. Considering the failed clinical trials and uncertainties regarding the mechanism of action, one may wonder if the original pre-clinical work adequately determined if Tivantinib effectively binds and inhibits MET in cells? If Tivantinib’s cellular engagement to MET was assessed directly rather than by MET phosphorylation analysis, would a different pre-clinical recommendation have been made?

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Non-Pharmacological Approaches to ADHD: Exploring Inflammation and Omega-3s

Attention-Deficit/Hyperactivity Disorder (ADHD) is a complex neurodevelopmental disorder that affects millions worldwide. Current therapeutic treatment relies on pharmaceutical approaches, but emerging research suggests that dietary supplements, such as omega-3 fatty acids, may offer complementary therapeutic options. A recent study published in the Journal of Psychiatric Research explores the relationship between inflammation and dietary supplements to determine how they might influence ADHD pathology. This work was conducted in Dr. Edna Grünblatt’s lab at the University of Zurich and was supported through Promega’s Academic Access Program. I had the chance to interview Dr. Natalie Walter, the lead author, to learn more about how her work offers potential opportunities for non-pharmacological interventions.

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Bioluminescence vs. Fluorescence: Choosing the Right Assay for Your Experiment 

From enzyme activity to gene expression, light-based assays have become foundational tools in life science research. Among these, fluorescence and bioluminescence are two of the most widely-used approaches for detecting and quantifying biological events. Both rely on the emission of light, but the mechanisms generating that light—and the practical implications for experimental design—are quite different. 

Choosing between a fluorescence or bioluminescence assay isn’t as simple as picking between two reagents off the shelf. Each has strengths and limitations depending on the application, instrumentation, and biological system. In this blog, we’ll walk through how each method works, where they shine (and where they don’t), and what to consider when deciding which approach is right for your experiment. 

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