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The Multi-Attribute Method (MAM) as a Biologics Lifecycle Backbone

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Surprises that delay manufacturing programs tend to arrive late in the day. A comparability package will not close if reactor scale-up, site transfer, or cell-line improvement produces a new analytical signal that cannot be reconciled with the material dosed in the clinic. Each of those changes was deliberate, yet the divergence it produced was not. What looks like an analytical problem can reflect an underlying product or process change.

A council of separate assays

The quality of a biologic is conventionally assessed not by one instrument but by a council of specialists, each fluent in one dialect. Charge variants speak through imaged capillary isoelectric focusing, size variants through size-exclusion chromatography, glycans through released-glycan mapping, and identity and modifications through peptide mapping.

Each specialist instrument is an expert, and each offers a partial answer. Across the years from candidate to commercial supply, that council is reconvened as methods, instruments, and qualified reference standards change. What survives is not a story but a stack of testimonies; the seams between them are where late surprises are born.

One framework, one language

The multi-attribute method (MAM) offers a more coherent approach: a peptide-mapping LC-HRMS (liquid chromatography-high resolution mass spectrometry) workflow that can identify and monitor multiple product quality attributes, including selected critical quality attributes, and resolve modifications to specific sites. In a single analysis, MAM can monitor deamidation, oxidation, site-specific glycoforms, sequence variants, and other product-related features, potentially streamlining quality control across the product lifecycle.

MAM is built in two movements: a broad characterization phase that identifies measurable attributes and assembles a product-specific peptide library anchored by accurate mass and retention time; and a monitoring phase that tracks the relative abundance of selected attributes, batch after batch.

Catching what no one thought to ask

MAM’s distinctive capability is new peak detection, a threshold-based comparison that aligns mass, retention time, and intensity features against a product-specific reference and flags new or significantly changed peaks for review. A conventional release assay reports within its intended analytical dimension. New peak detection asks a broader question: has an unexpected peptide-level feature changed?

Detecting that signal while the process is still being developed, rather than after it is locked, can be valuable because the attribute that ultimately matters may not be the one predicted.

When the process changes

Consider a typical crisis: a perfusion process replaces fed-batch, a step is redesigned, and a campaign moves to a second manufacturing site. Regulators require evidence that relevant quality attributes remain highly similar and that observed differences do not adversely affect safety or efficacy. Assembled from scattered legacy assays, that evidence can require substantial time to build and still show its seams.

When the same peptide mapping-based framework has traveled with the molecule from its earliest characterization, comparability can become less of an emergency and more a continuation of an established data stream. The peptide-level reference and historical attribute data already exist. That continuity can strengthen the broader comparability package.

What MAM does not solve

MAM is not a universal solution. By separating the molecule into peptides, MAM does not directly assess aggregation, particles, higher-order structure, biological activity, or modification combinations on the same intact molecule. It also depends on robust data analysis. MAM has been implemented for release in specific applications, and USP <1060> now provides a practical framework, while broader implementation continues to evolve. MAM works best as a backbone for directed attribute monitoring, supported by orthogonal methods.

Analytical continuity by design

At Catalent’s Kansas City analytical center of excellence, MAM and high-resolution mass spectrometry are applied as independent analytical services, supporting programs wherever the molecule is manufactured. Against a decade of process change, the aim is not more testimony, but a single coherent account, and fewer places for the story to break.

 

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ADCs, mAbs, CAR Ts: One Bioluminescent Platform Measures Them All

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The development and use of biologic-based immunotherapies is one of the fastest-growing areas in the biopharmaceutical sector. These immunotherapies use different mechanisms of action (MoA) and formats, including chimeric antigen receptor (CAR) T cells, monoclonal antibodies (mAbs), and antibody drug conjugates (ADCs).

A crucial step during immunotherapy development is verifying MoA through delivery of the cytotoxic payloads to the targeted cells in a heterogeneous environment. The streamlined Promega HiBiT Target Cell Killing (TCK) platform is a bioluminescent cell-based system that measures cytotoxicity with specificity, simplicity, and sensitivity during therapeutic development. The mix-and-match platform supports broad immunotherapy modality assessment for four killing mechanisms—CAR-T cell-mediated killing, antibody-dependent cellular cytotoxicity (ADCC), T cell-dependent cellular cytotoxicity (TDCC), and antibody-dependent cellular phagocytosis (ADCP).

Off-the-shelf, thaw-and-use HiBiT target cells express an intracellular HiBiT peptide that remains stable in media for >3 days with minimal leakage and is released only upon cell death. Released HiBiT binds cell-impermeable LgBiT to form functional NanoBiT luciferase, generating a bright, quantitative signal. The luminescent signal is proportional to target cell death alone, with no contribution from effector cells, making the platform ideal for co-culture experiments.

The HiBiT TCK platform leverages gain, not loss, of signal detection. This approach avoids the kinetic complications of loss-of-signal assays, where prolonged luminescence decay can obscure cell death timing and complicate endpoint selection. The simplified no wash, load, or staining workflow produces robust signal-to-noise with as few as 2,000 cells in 96-well formats or 500 cells in 384-well formats.

Thaw-and-use target cells

A growing library of off-the-shelf assay components includes thaw-and-use, functionally tested cell lines that address blood cancer targets, including B cell lymphoma and leukemia, myeloid leukemia, and multiple myeloma (Raji, Ramos, H929), as well as solid tumor targets for ovarian carcinoma (OVCAR3), breast adenocarcinoma, and lung carcinoma (SKOV3, SK-BR-3). HiBiT-containing target cell lines can also be custom tailored using ViaScript® transfection.

Principle of the HiBiT TCK Bioassay
Principle of the HiBiT TCK Bioassay. Cytotoxic mAbs and/or effector cells are incubated with target cells expressing a HiBiT fusion protein. Upon killing of the target cell, the HiBiT fusion protein is released and binds extracellular LgBiT to create a functional NanoBiT® Luciferase enzyme. Luminescence is measured using a luciferase substrate and the GloMax® Discover System.

For cell lines not in the standard panel, the ViaScript (HiBiT) TCK Bioassay enables rapid screening of target cells using transient HiBiT expression. ViaScript is a novel mRNA transfection reagent that enables rapid and titratable transient expression of HiBiT mRNA in a wide range of adherent or suspension target cell types for early high-throughput screening and clone selection. The transfected cell lines can be screened simultaneously and used in a HiBiT TCK Bioassay and paired with qualified primary effector cells and a biologic to measure ADCC, ADCP, TDCC or CAR-T cell killing. Once optimal TCK lines are identified with the ViaScript (HiBiT) TCK Bioassay, Promega’s Tailored R&D Solutions (TRS) offers custom clonal line development.

Off-the-shelf primary effector cells

Promega’s primary effector cells provide a consistent and robust method for target cell killing. The primary effector cells are MoA-qualified to measure the potency and stability of antibodies and other biologics that specifically bind and activate their respective effector cells. Stocked as thaw-and-use products, primary effector cells are functionally tested with the HiBiT Target Cell Killing Bioassays. PBMCs are ADCC-qualified, CD8+ T cells are TDCC-qualified, and macrophages are ADCP-qualified to assess Fc effector-driven activity. Effector cells are available in two product formats: as standalone vials or in bioassay kits.

The homogeneous, sensitive HiBiT TCK platform and bioassay provides a robust assay window for four immunotherapy killing mechanisms. The versatile mix-and-match platform supports experiments with different combinations of effector and target cells. The resulting luminescent signal is specific to target cell killing, making the bioassay well-suited for mixed co-culture experiments during development efforts. The HiBiT TCK platform supports ADCC with PBMC effectors, TDCC with CD8+ T cells, ADCP with macrophages, and CAR-T killing assays across a 4–72-hour time course.

 

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AI Drug Discovery Hits a New Bottleneck: Experimental Validation

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Artificial intelligence is dramatically accelerating early drug discovery. Models can screen chemical space, predict structures, optimize properties, and propose new molecules at speeds that were unimaginable only a few years ago. But that acceleration is creating another challenge: The capacity to generate candidates is beginning to outstrip the industry’s ability to test them.

“AI can rapidly identify and design hundreds or thousands of promising molecules,” says Derek Chen, PhD, senior director, antibody drug discovery at ProBio. As a result, he says, “the challenge has shifted from generating candidates to identifying which candidates are truly worth advancing.”

The bottleneck moves downstream

Drug discovery has traditionally been constrained by the difficulty and cost of identifying promising starting points. AI is loosening that constraint, enabling researchers to explore more molecular possibilities and computationally prioritize designs.

Experimental biology, however, cannot necessarily accelerate at the same pace. Every AI-generated candidate must still confront biological reality. Researchers need to establish whether a molecule produces the desired functional response, behaves as expected in relevant biological systems, and possesses properties compatible with further development. As Chen says, each candidate must undergo “functional screening, developability assessment, safety evaluation, and preclinical testing.”

That shifts the bottleneck downstream. Instead of struggling to generate enough interesting molecules, discovery organizations can face more computationally attractive candidates than their laboratories can efficiently validate.

Chen says this shift is increasing the importance of experimental capabilities including “high-throughput affinity screening, functional and mechanism-of-action assays, developability assessment, immunogenicity testing, advanced in vitro models, and translational in vivo studies.”

A prediction is not a medicine

Computational promise and therapeutic potential are not the same. Predicted affinity or potency might move a candidate forward, but successful medicines must satisfy a much broader set of requirements.

“A promising computational prediction is only the starting point,” says Wenwan Fang, PhD, product manager, discovery at ProBio. A candidate must demonstrate the desired biological activity and mechanism of action while also possessing “favorable safety, pharmacokinetic, and developability characteristics.”

A molecule that performs impressively computationally or in an early assay might still prove unstable, difficult to manufacture at scale, or unsuitable because of immunogenicity or other development risks.

“Ultimately, the most valuable candidates are those that combine strong biological performance with the practical attributes required for successful development and commercialization,” Fang says.

For Chen, that makes prioritization increasingly important. “Success depends not on creating more molecules, but on validating and prioritizing the right ones quickly and efficiently,” he says.

Building validation at AI speed

Keeping pace with AI will likely require more than simply adding laboratory capacity. Companies might need to rethink how validation is integrated into discovery.

“As AI dramatically increases the number of potential drug candidates generated, organizations will need to invest in technologies that accelerate validation rather than discovery alone,” Fang says.

Those investments could include laboratory automation, robotic liquid handling, high-throughput screening platforms, advanced cell-based and functional assays, and integrated data-management systems. Fang also expects growing demand for technologies that assess developability, safety, and manufacturability earlier, alongside more predictive in vitro and in vivo models.

The objective is a tighter feedback loop: AI proposes candidates, experiments test them, and experimental data inform subsequent designs.

Finding molecules that matter

Although better AI models will remain important, Chen sees integration as the larger opportunity. “The greatest competitive advantage is likely to come from tighter integration between computational prediction and experimental validation,” he says. Organizations that create “seamless feedback loops between AI-driven design and high-quality experimental data” will be best positioned to accelerate discovery, reduce development risk, and improve the likelihood of clinical success.

For Fang, the most valuable investments are similarly those that help researchers “rapidly identify which AI-generated candidates are truly worth advancing into development.”

 

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Targeted Lentiviral Delivery Without Vector Reengineering

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VSV-G is the surface glycoprotein of the vesicular stomatitis virus. VSV-G-pseudotyped lentiviral vectors are widely used for gene delivery, offering broad tropism, substantial transgene cargo capacity, and ease of production. But broad native tropism presents a challenge for targeted delivery, which has traditionally required engineering the viral envelope itself.

Vyriad’s novel G-Link targeting platform takes a different approach. Rather than requiring genetic modification of the viral glycoprotein, G-Link uses a modular protein adaptor to blind native VSV-G tropism and redirect delivery after vector production.

G-Link architecture and mechanism of VSV-G retargeting.
Figure 1. G-Link architecture and mechanism of VSV-G retargeting.

A modular protein adaptor

  • G-Link comprises three functional elements (see Fig. 1):
  • Cysteine-rich (CR) domains derived from the low-density lipoprotein receptor (LDLR) interact with the receptor-binding domain of VSV-G, masking its native LDLR tropism.
  • A trimerizing peptide positions these domains to complement the trimeric architecture of VSV-G on the vector surface, significantly improving blinding compared with a monomeric adaptor.
  • Finally, a CD3-targeting moiety redirects vector binding toward T cells.

Together, these elements effectively cap VSV-G, simultaneously suppressing its native tropism and introducing new cell specificity without genetically modifying the glycoprotein. G-Link is compatible with VSV-G-pseudotyped lentiviral and gamma-retroviral vectors as well as virus-like particles, providing a flexible platform for post-production retargeting.

When VSV-G-pseudotyped lentiviral vectors carrying a CD19 chimeric antigen receptor (CAR) were pre-mixed with G-Link and applied directly to peripheral blood mononuclear cells (PBMCs), CAR delivery in T cells was dramatically improved (Fig. 2). This reflects G-Link’s ability to both target and activate these cells, supporting efficient transduction without prior isolation or bead-based stimulation. T-cell-specific delivery is also maintained in human whole blood, an important requirement for systemic in vivo administration.

Vyriad sponsored content figure 2 Human PBMCs illustration
Figure 2. Human PBMCs were transduced with uncapped or G-Link-capped lentiviral vectors (LV) carrying a CD19 CAR. Five days post-transduction, CD19 CAR expression was analyzed by flow cytometry.

Stable retargeting for systemic delivery

For systemic applications, G-Link must remain bound to VSV-G after administration, as dissociation could restore the vector’s broad native tropism and increase the potential for off-target transduction. At physiological calcium concentrations, the interaction between G-Link and VSV-G is remarkably stable. G-Link remains associated with the vector through multiple freeze-thaw cycles and tangential flow filtration, as well as following intravenous administration and systemic circulation in mice.

At the same time, G-Link binding is reversible under low-calcium conditions, allowing release as the vector enters the endosomal environment.

This combination of blinding and retargeting has translated into preclinical in vivo safety and efficacy. In a mouse model of multiple myeloma, G-Link-capped lentiviral vectors encoding a B-cell maturation antigen (BCMA) CAR generated CAR T cells in vivo and produced complete tumor clearance in treated animals without notable signs of toxicity. In contrast, uncapped vectors and G-Link alone failed to control tumor burden or substantially prolong survival.

One platform, multiple opportunities

G-Link can simplify ex vivo T-cell engineering by combining targeting, activation and transduction, while also enabling targeted T-cell delivery in vivo through a simple post-production mixing step.

While the current G-Link adaptor targets CD3, its modular architecture provides a foundation for future adaptors directed toward additional cell types—without requiring each new targeting strategy to begin with glycoprotein reengineering.

 

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ProBioGen Grants Transgene Additional License for AGE1.CR.pIX Cell Line

ProBioGen and Transgene report that they broadened the scope of their existing collaboration to include an additional license agreement for ProBioGen’s suspension AGE1.CR.plXR cell line which is designed to boost Transgene’s manufacturing capabilities with this specialized production technology.

ProBioGen officials describe the cell line as a stable proliferating avian cell line derived from primary cells of a duck embryo. It was developed as an alternative to the use of chicken eggs for large-scale vaccine production. The cell line is available as both a suspension and adherent cell line and has been optimized for viral vaccine production and stability.

The product, which grows in a commercially available, chemically defined medium without animal components and serves as a host for a variety of different virus strains, is aimed at cost-effective production and increased manufacturing productivity.

“This additional license reflects our confidence in the technology to prepare for future clinical needs at scale,” said Alessandro Rive, chairman and CEO of Transgene.

“We value Transgene’s continued confidence in our AGE1.CR.pIX platform,” added Volker Sandig, PhD, CSO at ProBioGen. “A continuous cell line qualified as a GMP master cell bank, grown in chemically defined and animal-component-free medium, means every batch begins from the same fully characterized starting material.”

Transgene focuses on designing and developing targeted immunotherapies for the treatment of cancer. The company’s clinical-stage programs consist of a portfolio of viral vector-based immunotherapeutics. TG4050, the first individualized therapeutic vaccine based on the myvac® platform is Transgene’s lead asset in the adjuvant treatment of head and neck cancers.

TG4070, a second individualized vaccine candidate derived from the myvac platform, is in Phase I clinical development in combination with nivolumab in adjuvant non-small lung cancer (NSCLC). The company has other viral vector-based assets, including BT-001, an oncolytic virus based on the Invir.IO® viral backbone, which is in clinical development.

 

 

 

Anticancer Candidate Strengthens Bones and Prevents Weight Gain in Postmenopausal Mice

The results of a preclinical study by researchers at the University of East Anglia suggest that an experimental anticancer drug could stop osteoporosis and help women prevent weight gain after the menopause. Their study in mice found that the small molecule drug CADD522 not only protected against osteoporosis but could also reduce body fat and reverse some of the metabolic changes linked to menopause. Currently in development for cancer therapy, CADD522 is a small molecule inhibitor of the transcription factor RUNX2, which is helps to drive the growth and spread of several cancers.

Research lead Darrell Green, PhD, at UEA’s Norwich Medical School, said, “We have uncovered an entirely new way of tackling the disease. We found that a drug originally developed to stop cancer could help millions of women facing the twin challenge of fragile bones and midlife weight gain. We hope our work could lead to a new generation of osteoporosis treatments that tackle bone loss while also addressing some of the wider metabolic consequences of menopause.”

Green is senior and co-corresponding author of the team’s report in npj Drug Discovery, titled “RUNX2 inhibitor CADD522 improves bone microarchitecture and lipid metabolism in post-menopausal bone loss.” In their paper the team concluded that their collective studies “… identify RUNX2 inhibition as a therapeutic strategy that simultaneously improves skeletal integrity and metabolic homeostasis, supporting further development of CADD522 for osteoporosis and other RUNX2-driven diseases.”

Osteoporosis is a metabolic bone disorder characterized by low bone mass, structural deterioration and increased fracture risk. The disorder affects one in three women and one in five men aged over 50 years globally, the authors wrote, but there are limited therapeutic options. “… existing antiresorptive and anabolic therapies remain limited by safety concerns, contraindications and poor long-term adherence,” the authors stated. “Thus, new treatments with few side effects and broader applicability remain a clinical priority.”

Green said: “Osteoporosis affects around one in three women over the age of 50, leaving sufferers vulnerable to painful fractures that can seriously impact quality of life. Current treatments exist, but many are plagued by side effects, safety concerns or inconvenient dosing schedules that make long-term use difficult.

The researchers had previously evaluated the small molecule RUNX2 antagonist CADD522 in several preclinical cancer models. “RUNX2 is critical for in utero skeletogenesis and cancer metastasis,” they explained. Unexpectedly, studies indicated that CADD522 reduced cancer-induced bone disease, “… suggesting potential utility in osteoporosis.”

For their newly reported study Green and colleagues investigated whether RUNX2 inhibition could protect against post-menopausal bone loss, in an ovariectomy-induced mouse model, to mimic the hormonal changes seen after menopause.

The team found that animals treated using CADD522 for eight weeks showed significant improvements in bone health. Scans revealed increased bone volume and better preservation of the delicate honeycomb-like structures inside bones that are crucial for strength and resilience. Blood tests suggested the drug stimulated new bone growth, without interfering with the body’s normal process of breaking down and rebuilding bone.

Green said: “This is particularly important because many existing osteoporosis drugs work by suppressing bone loss, which can sometimes lead to complications when used for long periods.”

The biggest surprise came when the investigators looked beyond bone health, Green continued. “The mice receiving CADD522 weighed less than their untreated counterparts despite eating the same amount of food. They also had less body fat and fewer fat deposits accumulating inside their bone marrow—a process that is commonly seen after menopause and is linked to declining bone health.” The authors wrote in summary, “A remarkable finding was that the skeletal improvements occurred alongside reduced peripheral and marrow adiposity and selective remodeling of lipid metabolism.”

The team also examined brain tissue and found the drug appeared to reverse several menopause-related changes in fatty acids. Levels of beneficial omega-3 fats, including DHA, remained largely intact, while a number of other lipid abnormalities shifted back towards healthier patterns. “Rather than inducing indiscriminate metabolic disruption, RUNX2 inhibition therefore appears to restore specific lipid pathways perturbed by menopause,” the team noted. “Although the relationship between altered brain lipid composition and cognitive function was not examined in the present study, the selective remodeling of brain lipids following CADD522 treatment raises the possibility that RUNX2 inhibition may influence neurological adaptations to menopause in addition to preserving skeletal integrity.”

Green added: “We didn’t directly test for memory or thinking ability, but our work raises questions about whether this drug could one day help address wider menopause-related health problems.” The team suggests that further studies should determine whether the metabolic effects demonstrated translate into improvements in cognition or other measures of brain health.

The prospects for future clinical applications also received a boost from safety testing. Experiments in mice, rats and dogs found CADD522 could be taken orally and was well tolerated. “Cross-species pharmacokinetic and toxicological studies demonstrated oral bioavailability, favorable short-term tolerability and target engagement despite rapid systemic clearance, while cellular thermal shift assays confirmed direct engagement of RUNX2,” they noted.

The team also found the drug appeared to be metabolized more slowly in human tissue than in rodents, potentially improving its performance in people. “This is still in the early stages and has so far only been tested in animals but we hope that the benefits will translate to humans to ultimately reduce fracture rates,” added Green.

In conclusion, the authors wrote, “In summary, our findings reveal an unexpected role for RUNX2 inhibition in protecting against post-menopausal bone loss while simultaneously improving systemic metabolic homeostasis.” They suggest that their study “… establishes a translational framework for further development of CADD522 and identifies RUNX2 as a therapeutically tractable regulator of skeletal and metabolic adaptation in adulthood.”

Regenerative Medicine in the Bronze Age: MSCs and MSC-EVs Leading the Way

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Immunotherapies have dominated cell and gene therapy for the past 5–10 years, but the field of regenerative medicine is gaining momentum. Mesenchymal stem cells (MSCs) remain central to this field, with expanding applications as direct therapies and as producers of MSC-derived extracellular vesicles (MSC-EVs). This article examines the biological and regulatory factors shaping their promise.

MSC Therapies: Promise, Frustration, and a Push Toward Biomarkers to Drive Efficacy

MSC therapies show strong biological promise, but translation remains slow because efficacy and consistency are difficult to demonstrate. A key priority is aligning therapy design with MSC biology. Autoimmune diseases, such as progressive multiple sclerosis, are strong applications because treatment options are limited and early studies suggest MSCs may help reset immunity. Experts recommend biomarker-driven trials to identify appropriate patients earlier and improve evaluation. MSCs are often misunderstood and underutilized, making biomarker-driven design and global harmonization essential for success.

Lonza Scientists Discussing Data
Credit: Lonza

MSCs are attractive because they can be used in allogeneic therapies: donor cells can be cryopreserved, thawed, and used off-the-shelf to treat larger patient populations, including autoimmune and cardiovascular indications. Developers are moving toward 3D culture systems to increase production, simplify manufacturing, and enable MSC-EV generation. However, shifting from 2D to 3D culture systems can alter confluency, marker profiles, EV productivity, and other critical quality attributes. Teams must optimize media, serum or HPL, additives, and reagents to maintain CQAs at scale.

Process changes in media, microcarriers, or feed schedules can dramatically affect MSC performance, increasing interest in AI-driven optimization of consumables and reagents. As 3D systems advance, developers still rely on serum or HPL to support cell health and consistency, while the industry increasingly demands chemically defined, serum-free systems. Better serum-free and HPL-free solutions are needed for clinical development of MSC therapies and MSC-EVs. Together, these trends show MSC therapies becoming more engineered, precise, and clinically defined, while many MSC developers expand into MSC-EV solutions and fuel excitement around both modalities.

MSC-EVs: Increasing Interest in a Novel Therapeutic Solution

The shift of MSC-EVs from “cells as drugs” to “cells as biological triggers” raises an interesting central question: can developers deliver therapeutic impact without administering the cells themselves?

With more than 500 MSC-derived EV clinical trials underway, the field continues to grow. MSC-EVs lead the EV and exosome space because of the strong foundation built during decades of MSC research. However, key questions remain around classification, safety, efficacy, scale-up, and commercialization. MSC-EVs remain in a regulatory grey zone, with agencies still determining whether they are biologics, cell-based therapies, or a new class. Regulators are likely to focus on process consistency, EV identity, and release testing in later-stage development.

Purity and characterization remain central because upstream and downstream processes can change EV composition. Each indication must show how cell source, processing, and purification affect the final product. With no commercial EV therapeutics approved so far, developers must establish precedent while maintaining consistency through scale-up. As MSC-EV developers scale into larger trials and commercial manufacturing, GMP processes and reagents can change EV outputs and must be addressed early. Early conversion to GMP media and consumables can reduce risk, lower costs, and clarify efficacy, purity, and consistency priorities. MSC-EVs will also face competition from EVs derived from NK cells, macrophages, HEK293 cells, plants, and other sources. These alternatives may offer lower-cost production or different applications, while shared learnings can advance the broader EV field.

MSCs and MSC-EVs Drive Progress and Advance Regenerative Medicine

Immunotherapies have defined a recent Golden Age in cell and gene therapy. As manufacturing matures and refinements become more incremental, the next major wave of innovation may come from regenerative medicine. MSCs and MSC-EVs hold major promise, but many companies still lack the infrastructure and timelines that attract major pharma investment. This places the field in a biotech Bronze Age: rich with opportunity in rare disease, organ failure, allogeneic therapies, and scalable EV platforms, but still building the evidence, biology, and manufacturing precedent needed for broader success. Continued progress in scale-up, process control, and modality definition could unlock a future Golden Age for MSC and MSC-EV therapeutics.

 

 

Jessica Pickrell; Associate Director, Media Solutions, Lonza

 

Further Reading

1. Wang CK, Tsai TH, Lee CH. Regulation of exosomes as biologic medicines: Regulatory challenges faced in exosome development and manufacturing processes. Clin Transl Sci. 2024; Aug 17(8):e13904. doi: 10.1111/cts.13904. PMID: 39115257; PMCID: PMC11307316.

2. Bourcier AJ & Kirkor ZM. Regulatory, ethical, and clinical barriers to exosome use in interventional pain medicine. Intl Pain Medicine 2026; 5(1):100746. doi: 10.1016/j.inpm.2026.100746.

3. nternational Society for Cell & Gene Therapy (ISCT). 2026. Roundtable on Regulation and Policy, ISCT 2026 Annual Meeting, Dublin, Ireland.

Lonza Group Ltd. and its affiliates (collectively and individually, “Lonza”) make efforts to include accurate and up-to-date information. However, Lonza makes no representations or warranties, express or implied, including as to accuracy or completeness of information. All trademarks belong to Lonza, and are registered in the USA, EU and/or CH, or used in common law, or belong to third-party owners and are used for only informational purposes. All third-party copyrights have been reproduced with permission from their owners. The user bears the sole responsibility for determining the existence of any third-party rights and obtaining any necessary licenses and approvals. For more information, including regarding legal disclaimers, Lonza’s intellectual property rights, and how Lonza collects, uses and protects personal information: www.lonza.com/legal, www.lonza.com/about-us/strategy/intellectual-property and www.lonza.com/privacy. © 2026 Lonza. All rights reserved

 

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RNAV8 Bio Joins ARPA-H Team to Pioneer Programmable RNA Medicines

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RNAV8 Bio (pronounced Renovate Bio) has been selected to receive funding from the Advanced Research Projects Agency for Health (ARPA-H) for PROPEL (Programmable RNA for Optimal Precision in Therapeutic Efficacy and Localization).

RNAV8, a biofirm applying AI-driven design and laboratory validation to engineer more predictable mRNA medicines, will be part of a team led by the Rouskin Lab at Harvard Medical School with the Weissman Lab at MIT/the Whitehead Institute. The award, a one-year ARPA-H pilot of up to $4.4 million, will fund a program to turn RNA’s natural folding behavior into a precise, drug-tunable control layer for a new generation of RNA medicines. PROPEL is led by ARPA-H program manager Shannon Greene, PhD.

“The promise of mRNA has always been that it’s programmable, but in practice the relationship between a RNA’s sequence and chemistry and what it actually does has been hard to predict,” said Devan Shah, founder and CEO of RNAV8 Bio. “Our work with the Rouskin and Weissman labs is aimed squarely at that gap: learning the rules that connect sequence to function, and building them into logic-gated constructs that express where and when they should.

“Just as important, every element we discover stays answerable in the format a medicine actually ships in. We’re proud to help carry this science from a regulatory element toward a real therapeutic.”

Within PROPEL, RNAV8 Bio focuses on the therapeutic format itself. It screens protein output from pools of transfected mRNA, engineers UTRs in the delivery format, and validates results at the cargo level, for example driving cell-type-selective expression of therapeutic payloads such as gene-editing enzymes or CAR constructs.

PROPEL pursues a different kind of control

Most medicines act wherever their chemistry carries them, and most genetic therapies work by permanently changing DNA. PROPEL pursues a different kind of control. An RNA molecule’s untranslated regions (UTRs) fold into structures, and those structures set how much protein the message produces. When a small molecule binds one of those folds, the structure rearranges and the output changes, turning a dose into a dial on protein expression, without altering the genome. Bacteria use this logic openly, in elements called riboswitches; in human cells it remains largely uncharted.

“For decades we’ve read RNA sequence as a set of instructions for making a protein. What we can now read, at the scale of thousands of sequences at once, is how that sequence folds, and how a small molecule can change the fold and, with it, the output,” said Silvi Rouskin, PhD, assistant professor of microbiology, Harvard Medical School. “Human cells almost certainly already use this kind of structural control; we’ve simply never had the tools to find it systematically. PROPEL is our attempt to map it and put it to work.”

mrna
Engineering installs regulatory elements into therapeutic mRNA so that a single construct is selective by cell type through its sequence and tunable through its structure. [Niphon/Getty Images]
PROPEL pursues this along two lines of work that share a single screening pipeline. Discovery searches human RNA for naturally occurring elements whose structure responds to a metabolite or an FDA-approved drug, native regulation reachable with existing, well-tolerated molecules.

Engineering installs regulatory elements into therapeutic mRNA so that a single construct is selective by cell type through its sequence and tunable through its structure. Both rely on high-throughput mapping of how a RNA’s folds shift when a ligand binds, which flags the elements that regulate protein output before the team tests which ones a small molecule can move.

The Weissman Lab contributes massively parallel screens of human untranslated-region elements across cell types, measuring which ones set expression where.

“The untranslated regions flanking a message are among the most powerful and least exploited levers on how much protein a cell makes,” said Jonathan Weissman, PhD, professor of biology, MIT and member, Whitehead Institute. “By screening these elements across cell types, we can begin to tell which ones set expression where, turning a vague notion of ‘regulation’ into a defined, reusable parts list. That is what makes a control layer generalizable rather than a one-off trick.”

By the end of its initial phase, the collaboration aims to produce resources that do not exist today: a map of how thousands of human RNA sequences respond to small molecules, with structural models; a ranked catalogue of human UTR elements that set translation cell type by cell type; engineered UTRs that reach meaningful selectivity in a therapeutic format; and RNA sequences, natural or engineered, shown to switch structure inside human cells. Together these are meant to form a generalizable, disease-agnostic foundation for RNA medicine, according to the scientific team.

PROPEL is a program supported by ARPA-H that develops a programmable, drug-tunable control layer for RNA medicines.

Measuring Cell Line Development Quality Within Days of Single-Cell Cloning, Not Months Later

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Every cell line development (CLD) campaign turns on one decision: which clone will manufacture the therapy? When monoclonal antibodies (mAbs) dominated the pipeline, clone selection often centered on titer, the amount of product produced. Bispecific antibodies, antibody-drug conjugates (ADCs), and other complex formats have changed that calculation. Titer remains important, but so does whether a clone consistently makes the intended molecule. That distinction must become visible early enough to avoid advancing weak candidates.

Antibody-based clinical trials graph
Figure 1. Antibody-based clinical trials by modality (ClinicalTrials.gov and Thera-SAbDab, Feb. 2026). mAbs have declined from roughly 95% to about two-thirds of the pipeline as programs for bispecifics and ADCs have grown. [Bruker Spatial Biology]
That shift from mAbs to multispecific modalities is visible in antibody clinical trials. In Bruker’s analysis of ClinicalTrials.gov and Thera-SAbDab, conventional mAbs fell from roughly 95% of trials first posted in 2005 to about two-thirds in 2025 (Fig. 1). The balance increasingly includes bispecifics, ADCs, and other complex formats. Most are produced in Chinese hamster ovary (CHO) cells and can present challenges such as lower titer, incorrect chain pairing, aggregation, or reduced stability. But a BioPhorum survey found that campaign timelines varied most during clone expansion and screening, and that most responding teams did not assess product quality during single-cell cloning.1

Traditional single-cell cloning methods, including limiting dilution, fluorescence-activated cell sorting (FACS), single-cell printers, and clone pickers, differ in mechanics but generally follow the same selection logic. They establish clonality, sometimes measure titer, then expand and advance clones before detailed product-quality and stability assays months later. This creates a blind spot: clones can progress before aggregation or incorrect chain pairing becomes visible. The Beacon® optofluidics platform, used by 38% of survey respondents and reported as the most widely used instrument, was built to close that gap.1 It cultures and assays live single cells in nanoliter-scale NanoPen® chambers, returning growth, specific productivity, and selected product-quality readouts within days, with early stability indicators following within weeks.

cld kit
Credit: Bruker

Published studies demonstrate the potential. Amgen reported that early chip-based cloning from bulk pools reduced its CLD timeline by up to eight weeks.2 A Merck KGaA team using Selective Cell Cloning on freshly transfected samples reported roughly two additional weeks of savings and higher clone specific productivity.3 In the clearest product-quality example, GSK screened a bispecific during single-cell cloning with two on-chip SpotLight™ assays. Clones with balanced assay signals averaged 87% heterodimer, while imbalanced signals were associated with lower heterodimer levels.4 This provided an earlier basis for prioritizing candidates before fed-batch testing. GSK’s head of cell line development separately credited improved biology, the Beacon platform, and the team’s ranking tools with reducing cell lines screened per molecule by more than 98%.5

For nearly a decade, the Beacon platform has advanced from integrated single-cell cloning to earlier productivity, product-quality, and stability measurements, with AI-assisted clone evaluation pointing toward the next step. Bringing richer evidence forward helps teams focus resources on the candidates most likely to succeed, carry fewer weak clones into later studies, and move toward the clinic with greater confidence. That is the promise of moving beyond titer.

 

References

1. Clarke H, et al. Biotechnol Prog. 2024:e3449. doi:10.1002/btpr.3449.

2. Diep J, et al. Biotechnol Prog. 2021;37:e3192. doi:10.1002/btpr.3192.

3. Desmurget C, et al. Biotechnol J. 2024;19:e2300488. doi:10.1002/biot.202300488.

4. Robinson M, et al. Biotechnol Prog. 2026:e88539. doi:10.1002/btpr.88539.

5. Corrigall H. Bruker Cellular Analysis webinar, 2025.

 

Eric Sackmann, PhD, is a director of product management at Bruker Cellular Analysis.

 

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Clean Cells Broadens Viral Safety Testing Portfolio with NGS

France-based Clean Cells launched its next-generation sequencing (NGS)-based safety testing for viral matrices, such as viral vectors and recombinant preparations. The company also announced that it had acquired French bioinformatics CRO Xegen, which specializes in NGS data analysis.

The acquisition is to help consolidate, develop, and secure Clean Cells’ bioinformatics capabilities to support every NGS method and de-risk the most technically complex part of the workflow, according to Clean Cells CEO Laurent Claisse, who added that a secured bioinformatics backbone, the most critical part of NGS, means reliable, auditable data handling.

Xegen co-founder and CEO, Julien Paganini, PhD, will join Clean Cells as expert project manager of bioinformatics, analytical methods development, and validation, along with his team of two staff.

“With the launch of our NGS viral safety testing and the acquisition of Xegen’s Next-Generation Sequencing bioinformatics expertise, we provide a strong and secure analytical pipeline, with greater control of the full workflow from sample to interpreted result. We can provide our international clients with a more integrated NGS offering to support key questions from identity to viral safety,” said Claisse.

“Sequencing is the technology but turning it into a quality control solution involves much more than simply generating reads. It requires a robust analytical strategy to transform complex data into interpretable, traceable and regulatory-ready results. By joining Clean Cells, we can combine our established bioinformatics structure and deep expertise with its laboratory and regulatory capabilities to build a fully integrated solution and make NGS a powerful and practical tool for quality control in regulated environments,” added Paganini.

A Clean Cells official pointed out that this new offering comes at a critical time, as European regulatory frameworks are making NGS increasingly relevant in checking that biologic medicines are not contaminated with unwanted viruses. Clean Cells’ strategic move strengthens its position in the viral safety testing market in step with European regulations, notably ICH Q5A(R2) (2024) and European Pharmacopoeia chapter 2.6.41, which are accelerating NGS adoption from a niche technology to a mainstream viral safety testing tool, explained Elodie Ribert, R&D deputy director, head of analytical development and validation.

“The regulatory ground has shifted. With ICH Q5A(R2) and European Pharmacopoeia chapter 2.6.41, NGS is now a recognized route for adventitious virus detection. It answers a real problem for viral matrices, where classical assays struggle because no anti-serum exists,” said Ribert. “The sequencing alone is not the whole story. A signal still must be investigated and confirmed, and that is where having the full quality control panel alongside it makes a difference.”

Going forward, Clean Cells states that it will extend the validated NGS viral safety method from acellular viral matrices to cell banks (MCB/WCB), a process currently in progress. It will also build additional viral safety expert capacity and business development enablement.

antibodies to cell movement of the virus
A more coherent approach: a peptide-mapping LC-HRMS (liquid chromatography-high resolution mass spectrometry) workflow that can identify and monitor multiple product quality attributes, including selected critical quality attributes, and resolve modifications to specific sites. In a single analysis, deamidation, oxidation, site-specific glycoforms, sequence variants, and other product-related features monitored, potentially streamlining quality control across the product lifecycle.
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For nearly a decade, the Beacon platform has advanced from integrated single-cell cloning to earlier productivity, product-quality, and stability measurements, with AI-assisted clone evaluation pointing toward the next step. Bringing richer evidence forward helps teams focus resources on the candidates most likely to succeed.
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The expanded next-generation sequencing offering from Clean Cells now covers GMP-compliant viral safety testing for viral vectors and recombinant preparations, building on existing identity testing capabilities.