Screening Disease-Relevant Biology: How the Endo-GeneScreen Platform Uses Endogenous Protein Detection to Drive Drug Discovery 

Drug discovery has long grappled with a fundamental tension in high-throughput screening: the more biologically relevant your model, the harder it is to scale. Phenotypic assays in primary disease-relevant cells offer rich biological context, but capturing meaningful, target-specific readouts from these complex systems at screening scale has remained a significant challenge.  In contrast, simpler, more scalable systems are easier to deploy but sacrifice the biological fidelity that makes hits meaningful. A recent study by Samowitz et al. in Nature Communications describes an interesting approach to resolve this tension, the Endo-GeneScreen (EGS) platform. A high-throughput screening system designed to enable scalable detection of endogenous protein levels within disease-modeling cellular contexts. 

A Well-Chosen Proof of Concept 

The authors selected Syngap1 as their proof-of-concept target to develop and demonstrate this approach. De novo mutations in this gene that lead to haploinsufficiency are among the most common genetic causes of sporadic neurodevelopmental disorders, including intellectual disability, autism, and epilepsy. Small molecules that boost SynGAP protein levels back toward wildtype would address the root cause of these disorders rather than managing downstream symptoms. Importantly, Syngap1 function is closely tied to cortical excitatory neurons. Well-validated in vitro and in vivo models for these neurons already exist, creating an integrated system for both discovering new compounds and validating them in the same biological context. That continuity is an important step toward improving the translational relevance of lead molecules coming out of the screen. 

The choice to pursue small molecule modulators of Syngap1 protein levels was also deliberate. Small molecules can be iteratively improved through medicinal chemistry: optimizing brain penetrance, selectivity, and dosing flexibility over successive rounds of synthesis and testing. That iterative potential is central to what makes a phenotypic hit a valuable starting point. 

Building a Screening-Compatible Model Without Sacrificing Biology 

To enable screening at this scale within a biologically relevant context, the authors built their platform around endogenous protein detection in primary cortical neurons. Using standard CRISPR methods, they knocked the small 11-amino acid HiBiT tag into the endogenous Syngap1 locus, creating a Syngap1-HiBiT knock-in mouse strain. Because the tag is inserted at the endogenous locus rather than expressed from a transgene, protein levels reflect native regulation rather than artificial overexpression. During the screen, the HiBiT complementation partner LgBiT is added to the cells during the detection step, reconstituting active NanoBiT® luciferase and generating a luminescent signal directly proportional to endogenous SynGAP protein levels. 

The authors took the model a step further by incorporating a second firefly luciferase (Fluc) reporter. By crossing the HiBiT knock-in mouse with a commercially available transgenic mouse line constitutively expressing Fluc from a ubiquitous promoter, they created an “in-mouse” Dual Luciferase Reporter (DLR) assay. The Nano-Glo® HiBiT Dual-Luciferase® Reporter System was used to sequentially detect first the Fluc signal, reporting on global changes in total protein and cellular toxicity, followed by the HiBiT signal reporting on SynGAP protein levels. This built-in counterscreen is what allows the platform to distinguish compounds that specifically boost SynGAP from those that simply increase all proteins, as well as identifying cytotoxic compounds. Per-well normalization using the median Fluc and HiBiT signals from negative controls further enabled a hit detection algorithm that reduced false positives without sacrificing sensitivity. The assay system leverages the simple add-mix-read workflow, low background, and wide dynamic range that bioluminescent reporter systems deliver at scale. 

From Screen to Validated Hits 

Two independent screens totaling more than 100,000 compounds identified over 40 validated small molecules capable of boosting endogenous SynGAP protein in haploinsufficient neurons. The lead compound, SR-1815, was characterized extensively as a proof-of-concept for the full platform workflow. Beyond the primary DLR assay, the team confirmed SR-1815’s activity using an orthogonal Dot Blot protein assay employing knockout-validated, isoform-specific antibodies against SynGAP, confirming that SR-1815 raised all isoforms proportionally. SR-1815 also demonstrated functional activity, rescuing elevated excitatory synapse strength and neuronal hyperexcitability in haploinsufficient neurons in a genotype-specific manner, consistent with restoring SynGAP’s role in synaptic regulation. 

Early Results and the Road Ahead 

SR-1815 currently faces real pharmacological challenges, notably poor brain penetrance due to P-glycoprotein-mediated efflux and a short half-life, which limits in vivo evaluation until optimized analogs are available. This is expected at this stage, and it is precisely the kind of problem that iterative medicinal chemistry is designed to solve. Interestingly, target deconvolution studies described in a companion publication identified SR-1815 as a multikinase inhibitor that regulates SynGAP levels through alternative splicing, with some targets also implicated in cancer biology. This is an instructive reminder that phenotypic hits can open biological doors well beyond their original indication, and a strong argument for investing in mechanism-of-action work alongside the medicinal chemistry program.

The ~40 additional validated SynGAP-boosting compounds from EGS are now entering early preclinical evaluation, each representing a distinct chemical scaffold and potential therapeutic starting point.

Conclusion 

The Endo-GeneScreen platform is a convincing demonstration that biological relevance and screening scale are not mutually exclusive, but achieving both requires the right technology at the foundation. By combining endogenous HiBiT tagging with the sensitivity and dynamic range of bioluminescence and embedding that within a dual-reporter system that handles selectivity and toxicity in the same assay read, the authors built a platform designed to find the right hits in the right context from the start. Because the HiBiT tag can be knocked into any gene of interest using standard CRISPR methods, and the resulting knock-in mouse line bred with the existing Fluc line, the same infrastructure is immediately extensible to other disease targets, making EGS a modular starting point for physiologically relevant screening well beyond Syngap1. The hits that emerge from this kind of approach carry the credibility of having been found in the right cellular context, jumpstarting next-step translational research efforts.  

To learn more about HiBiT tagging technology for building physiologically relevant model systems, visit: HiBiT Protein Tagging System


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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CRISPR/Cas9 Endogenous Tagging in Drug Discovery

Limitations of Traditional Protein Study Methods 

Studying proteins in their native biological context has long been a major challenge in molecular biology. Traditional methods, although widely used, often distort the actual cellular environment and limit functional interpretation. Techniques like antibody-based detection or plasmid-driven overexpression can introduce artifacts and do not allow real-time analysis in living cells. 

In this context, the need for tools that enable the observation of proteins as they naturally occur, under physiological conditions, and within live cells is becoming increasingly evident in molecular biology. 

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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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CRISPR/Cas9 Knock-In Tagging: Simplifying the Study of Endogenous Biology

Understanding the expression, function and dynamics of proteins in their native environment is a fundamental goal that’s common to diverse aspects of molecular and cell biology. To study a protein, it must first be labeled—either directly or indirectly—with a “tag” that allows specific and sensitive detection.

Using a labeled antibody to the protein of interest is a common method to study native proteins. However, antibody-based assays, such as ELISAs and Western blots, are not suitable for use in live cells. These techniques are also limited by throughput and sensitivity. Further, suitable antibodies may not be available for the target protein of interest.

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Targeted Protein Degradation: How Chemoproteomics and Induced Proximity Are Shaping Drug Discovery

Earlier this fall, more than 90 researchers from academia and industry gathered at the Promega Madison campus for the 4th TPD & Induced Proximity Symposium. The event focused on the rapidly advancing field of targeted protein degradation (TPD) and the broader concept of induced proximity—therapeutic strategies that bring two or more proteins into proximity to trigger a specific biological effect. 

This 4th year reflected of the symposium a maturing and diversifying field with chemoproteomics and proteomescale mapping redefining what it means to be “druggable,” while AI and high throughput biology are connecting molecular design to cellular function. Yet the mission remains unchanged—using molecular approaches that leverage the cellular machinery to make progress against targets once deemed “undruggable.” 

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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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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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Can AI Replace High-Throughput Screens for Drug Discovery?

This image was created with the assistance of AI

For decades, pharmaceutical companies have relied on high-throughput screening (HTS) as the first step in the drug discovery process. After an initial screening of thousands of compounds, scientists select a smaller list of candidate drugs that is then used for further downstream testing. A major limitation to HTS, however, is the need to synthesize all compounds used in the screen—the compounds need to physically exist to be tested. This significantly limits the number of compounds that can be tested, hindering the discovery of new drugs.

What if we could test compounds even before they are synthesized?

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Decades of Discovery: How the NCI-60 Revolutionized Cancer Drug Screening

The National Cancer Institute’s NCI-60 drug screening panel, comprised of 60 diverse human cancer cell lines, has been a cornerstone in advancing cancer research and drug discovery since its inception in the late 1980s. Developed in response to the need for more predictive and comprehensive preclinical models, the NCI-60 facilitates the screening of thousands of compounds annually, aiming to identify potential anti-cancer drugs across a broad spectrum of human cancers. This article traces the origins, development, and evolution of the NCI-60 panel, highlighting its significant role in advancing our understanding of cancer and therapeutic agents.  

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