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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Sequence to Substance: Making the mRNA Therapeutic

mRNA-based therapeutics are being explored across a range of applications, including vaccines, protein replacement and immunotherapies (2).

Before any formulation decisions enter the picture, teams need confidence in the RNA itself: that it is the right sequence, right properties and the right purity to behave predictably downstream. That is where it helps to separate drug substance from drug product. The drug substance is the active ingredient intended to deliver a pharmacological effect, while drug product is the finished dosage form that contains that ingredient (6).

This post focuses on what happens upstream, making the mRNA drug substance before formulation. In practical terms, that upstream work spans choosing an mRNA construct, producing it by IVT, and then purifying and analyzing the product so it has the desired quality attributes (5).

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The Breakthrough Was There All Along

If you’ve ever played The New York Times game Connections, you know the feeling. You’re staring at a grid of words, knowing the solution is there, but unable to see how the pieces fit together. All you can do is work with the words in front of you. There are no extra clues, no new information coming. The only option is to shuffle, to look at the same information in a different arrangement until patterns begin to appear.

Nothing about the problem changes. Then something about how you see it does.

In 2014, a third-year medical student named David Fajgenbaum checked himself into the emergency room mid-exam. He felt off. By the time anyone understood why, he was in the ICU with multiple organ failure from a disease so rare it wasn’t taught in medical school: Castleman disease. The only approved drug didn’t work. A priest came to his bedside and read him his last rites. He was 25.

Fajgenbaum survived that relapse, and four more after it. As he recounted in a recent episode of NPR’s Radiolab, he understood that chemotherapy was keeping him alive without curing him, and that waiting for a new drug to be developed (a process that typically takes 10 to 15 years and billions of dollars) wasn’t an option he had. So he did something unusual. He started asking his doctors to save his blood samples, and he ran experiments on himself.

What he found was that a specific signaling pathway in his immune system, mTOR, was in overdrive. When he searched the existing pharmacological literature for something that could block it, he found an answer that had been sitting in pharmacies for 25 years. Sirolimus, a drug approved in 1999 to prevent organ transplant rejection, had never been used for Castleman disease. The biology of his disease hadn’t changed. The drug had always existed. The connection simply hadn’t been made.

He took it. It worked. He has been in remission for over a decade.

The detail worth holding onto isn’t the drug or the disease. It’s the instinct. Fajgenbaum didn’t wait for new knowledge to arrive. He looked differently at what already existed.

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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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Accelerating Drug Discovery at Grove Biopharma with MyGlo® and ProNect®

At Grove Biopharma, the R&D team is advancing a rational design approach to drug discovery. Their Bionic Biologics™ Platform assembles custom-engineered peptides to target intracellular protein-protein interactions into stable, potent, cell permeable therapeutics. By combining the precision of biologics with the efficiency of synthesizing small molecules, Grove accelerates lead generation and optimization.

Grove’s technology enables targeting key proteins involved in cancer and neurodegenerative diseases for which effective therapeutics have historically been difficult to develop. Their candidate molecules focus on important targets such as the Androgen Receptor splice variant, SHOC2 within the RAS/RAF pathway, the MYC-regulator WDR5, a Tau isoform relevant to Alzheimer’s Disease, and the Keap1-Nrf2 interaction associated with neurodegeneration. These programs have made significant progress and now represent some of the most advanced agents in their pipeline.

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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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Exploring How NEAT1 Shapes Granulosa Cell Function

Granulosa Cells

Granulosa cells (GCs), which surround and support developing oocytes, play a critical role in estrogen production, follicle maturation and overall ovarian health (3). Their ability to regulate hormone production and cell survival makes them a central focus in studies of ovarian biology.

A recent study investigated how the long non-coding RNA (lncRNA) NEAT1 regulates GC function and mapped a pathway that links NEAT1 expression to cell proliferation, apoptosis and hormone production (1).

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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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