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Kanazawa University research: Scientists reveal how antibodies reach a key breast-cancer protein

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Real-time nanoscale imaging shows that how much of a protein is present does not necessarily reveal how accessible it is to antibodies

KANAZAWA, Japan, Oct. 14, 2026 /PRNewswire/ — Researchers at the Nano Life Science Institute (WPI-NanoLSI) at Kanazawa University have developed a way to observe how antibodies interact with a cancer-related protein carried on tiny membrane-bound vesicles released by cells. Using high-speed atomic force microscopy, they found that measuring how much of the protein is present does not necessarily show how accessible it is to antibodies. The findings reported in the journal Small Methods provide a new way to investigate differences between individual cancer-derived vesicles although further research is needed before the approach can be used clinically.

Seeing whether a cancer protein can actually be reached 

Cancer cells can avoid attack by the immune system in several ways. One involves a protein called programmed death-ligand 1 or PD-L1. When PD-L1 interacts with immune cells it can act as a brake that reduces their ability to attack a tumor. Medicines that block this interaction have transformed the treatment of some cancers but patients respond very differently.

Tests often measure how much PD-L1 is present. However, quantity is only part of the picture. A protein may be present but partly hidden by nearby molecules or positioned in a way that makes it difficult for an antibody to reach. This physical availability is known as accessibility.

The Kanazawa University team investigated PD-L1 on small extracellular vesicles. These are tiny membrane-bound packages released by cells that carry proteins and other biological material. They can travel between cells and help cells communicate. Vesicles released by tumors can also influence immune responses. Their surfaces vary from one vesicle to another so measurements made across large groups can conceal important differences.

Watching antibodies bind to individual vesicles

Reon Imakawa and colleagues led by Richard W. Wong used high-speed atomic force microscopy to examine individual vesicles in liquid under conditions close to those found in the body. The technique uses an extremely fine probe to trace a surface and build rapid nanoscale images. It requires neither fluorescent labels nor chemical fixation so the researchers could follow antibody interactions in real time.

The researchers compared vesicles from two breast cancer cell lines. MCF7 cells have relatively low levels of PD-L1 while MDA-MB-231 cells are a model of triple-negative breast cancer with much higher PD-L1 expression. Triple-negative breast cancer is an aggressive form of the disease that lacks three biological markers commonly used to guide treatment.

Antibodies targeting PD-L1 behaved very differently on the two groups of vesicles. On vesicles with high PD-L1 levels the antibodies frequently docked at the surface and remained there for longer periods. On vesicles with low PD-L1 levels the interactions were mostly brief. The antibodies moved along the surface and soon disappeared from view.

More than 80 percent of the high-PD-L1 vesicles showed persistent antibody association. By contrast more than 90 percent of the low-PD-L1 vesicles showed no detectable stable interaction. A control antibody rarely remained attached to either type. These results show that the method can distinguish stable binding from fleeting contact on individual vesicles.

Differences hidden by average measurements

The team assessed both how often an antibody docked and how long it remained in place. Together these measurements provide a functional picture of how accessible PD-L1 is on each vesicle. Even vesicles released by the same cell type varied substantially. This variation would be difficult to see using conventional tests that report an average across a large population.

“We usually ask how much of a protein is present, but our results show that this is only part of the picture,” said Richard W. Wong, who led the study at Kanazawa University’s Nano Life Science Institute (WPI-NanoLSI). “What also matters is whether the protein is exposed in a way that allows other molecules to reach and interact with it.”

The researchers call their descriptive approach the Checkpoint Ligand Interface Phenotype or CLIP framework. It organizes vesicles according to observable features such as the frequency and duration of antibody binding. At this stage CLIP is an experimental framework rather than a diagnostic classification system.

A second antibody targeting CD63 which is commonly found on extracellular vesicles produced broadly similar binding patterns across the different samples. This indicates that the differences observed for PD-L1 were linked to the particular target rather than a general tendency of some vesicles to bind more antibodies.

A first test with patient-derived material

The researchers also examined vesicles released by breast cancer cells grown from a tumor sample donated by one patient with triple-negative breast cancer. Detectable antibody interactions occurred on 93.5 percent of these vesicles. However, the duration of binding fell between the two laboratory cell-line models. Individual patient-derived vesicles also differed in the number of antibody docking sites that could be detected.

These findings demonstrate that the imaging method can be applied to patient-derived material. They do not show that it can predict whether a patient will respond to immunotherapy. The patient-derived cells came from a single person and were grown in the laboratory. The vesicles were not taken directly from blood.

Potential significance

The study introduces protein accessibility as a measurable property that complements information about how much of a protein is present. The approach could help researchers understand why apparently similar vesicles behave differently and could be extended to other proteins carried on extracellular vesicles and other nanoscale biological structures.

Study limitations

This is an early laboratory study. It used two breast cancer cell lines and cells derived from one patient. Antibody accessibility under the imaging conditions should not be treated as a direct measure of immune activity in the body or as evidence of treatment response. The vesicles were held on a surface for imaging and the scanning probe may influence very weak interactions. The method is also lower-throughput than existing population-based tests. Clinical relevance will require larger patient groups direct analysis of vesicles from body fluids and comparison with treatment outcomes.

Figure

https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Small-Meth-E-eye-cat.jpg

High-speed AFM reveals heterogeneous antibody accessibility on single small extracellular vesicles (sEVs).

Real-time HS-AFM imaging directly visualizes long-lasting stable and transient antibody binding to individual sEVs. MDA-MB-231-derived and patient-derived TNBC sEVs showed markedly higher antibody co-localization and longer dwell times than MCF7-derived sEVs, revealing substantial differences in the accessibility of surface PD-L1 at the single-vesicle level.

Reference

Reon Imakawa, Keesiang Lim, Takeshi Yoshida, Tomoyoshi Yamano, Tsunaki Hongu, Uryo Onishi, Masaharu Hazawa, Toshio Ando, Noriko Gotoh, Rikinari Hanayama and Richard W. Wong. “Single-Vesicle Functional Nanophenotyping Reveals Heterogeneous PD-L1 Accessibility in Triple-Negative Breast Cancer.” Small Methods (2026); e71041.

DOI: 10.1002/smtd.71041.

https://doi.org/10.1002/smtd.71041

Funding

This research was supported by the World Premier International Research Center Initiative (WPI), MEXT, Japan; MEXT/JSPS KAKENHI grant JP24K18449 and grants JP24H01276, JP25H02360, JP26K01637 and JP26K22904; JST CREST grant JPMJCR22E3; and grants from the Hokuriku Bank, the Astellas Foundation for Research on Metabolic Disorders, the Takeda Science Foundation and the Shimadzu Science Foundation.

Media Contact

Motoko YASUHARA (Ms)
Project Planning and Outreach, NanoLSI Administration Office
Nano Life Science Institute, Kanazawa University
Email: nanokoho@adm.kanazawa-u.ac.jp
Kakuma-machi, Kanazawa 920-1192, Japan

About the Nano Life Science Institute (WPI-NanoLSI), Kanazawa University

The Nano Life Science Institute at Kanazawa University develops advanced nanoprobe technologies to directly image, analyze and manipulate biomolecules in living systems. By exploring previously inaccessible nanoscale phenomena, the institute seeks to uncover fundamental principles of life and disease.
https://nanolsi.kanazawa-u.ac.jp/en/

About the World Premier International Research Center Initiative (WPI)

The WPI program was launched in 2007 by Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT) to establish globally visible research centers with outstanding research environments and a high degree of autonomy. The program is administered by the Japan Society for the Promotion of Science (JSPS).
https://www.jsps.go.jp/english/e-toplevel/

About Kanazawa University

Founded in 1862 in Ishikawa Prefecture, Kanazawa University is one of Japan’s leading comprehensive national universities. The university promotes interdisciplinary research and international collaboration across science, medicine, engineering, the humanities and social sciences.
https://www.kanazawa-u.ac.jp/en/

 

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commercetools Named a Leader in 2026 Gartner® Magic Quadrant™ for Digital Commerce as AI Reshapes the Market

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commercetools is a Leader in the 2026 Gartner® Magic Quadrant™ for Digital Commerce for the seventh consecutive year.commercetools has been driving AI innovation on how enterprises build, operate and sell, including capabilities like Sphere, Commerce MCP and commercetools for Builders.commercetools is helping global enterprises modernize complex commerce operations and prepare for a future where both people and AI agents discover, shop and transact.

BOSTON, Oct. 22, 2026 /PRNewswire/ — commercetools, the digital commerce AI company, today announced it has been positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Digital Commerce. This marks the seventh consecutive year commercetools has been recognized as a Leader in the report.

As AI reshapes commerce, commercetools is expanding how it supports the enterprises who build and operate commerce experiences, and the shoppers who use them. Global enterprises including JD Sports, Nederlandse Spoorwegen, Chemist Warehouse and Mirion Technologies are using commercetools to modernize complex digital commerce, accelerate growth and adopt new AI-powered ways of operating and selling.

“Commerce is moving from systems that simply respond to human instructions toward systems that can increasingly understand, decide and act,” said Doug McNary, Chief Executive Officer at commercetools. “We’re proud to be named a Leader for the seventh consecutive year. Enterprises shouldn’t have to choose between the flexibility they need today and the autonomy they’ll need tomorrow. Our focus is giving them the technology to support both.”

Over the past year, commercetools has introduced new products and capabilities designed to bring AI across the commerce lifecycle:

Sphere: Brings together commercetools’ AI-native infrastructure and agent governance through Commerce MCP into a unified platform for enterprises to build, operate and sell with AI.commercetools for Builders: Helps anyone build, extend and evolve enterprise commerce faster with AI.AgentSphere: Lets enterprises build and manage AI agents to run commerce operations and agentic shopping, with appropriate guardrails to do so safely and at scale.Modular commerce offerings: Gives enterprises the flexibility to start with the capabilities they need and expand over time, accelerating time to value without requiring a full commerce transformation upfront.Commerce Integration Layer: Centralizes integration logic behind customer-facing experiences. Storefronts, mobile apps and AI agents connect through a unified layer hosted and maintained by commercetools.Smart Data Modeler: Uses AI to accelerate product data modeling, helping teams build the right foundation faster and reduce time-to-launch.

commercetools’ customers include large enterprises across retail, manufacturing, life sciences, healthcare and telecommunications in markets around the world.

To learn more about commercetools’ position as a Leader, download your complimentary copy of the 2026 Gartner Magic Quadrant report today.

About the Gartner Magic Quadrant for Digital Commerce

Gartner, Magic Quadrant for Digital Commerce Platforms, Aditya Vasudevan, Penny Gillespie, Sandy Shen, Jason Daigler, Mike Lowndes, 19 October 2026

Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

About commercetools

commercetools, the global digital commerce AI company, helps enterprises transform commerce for the AI era. Built API-native from the start and AI-first by design, our technology enables agentic shopping experiences, automates commerce operations and gives businesses the agility to modernize faster, innovate continuously and operate more intelligently.

More than 500 global brands, retailers and enterprise companies rely on commercetools to power their digital commerce. Together, they process more than $100 billion in annualized GMV, over 700 million orders and more than one billion customer records on our platform.

Media Contact: comms@commercetools.com 

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Phylo’s Biomni Lab to expand the use of AI agents in scientific research at Bayer

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SOUTH SAN FRANCISCO, Calif., Oct. 22, 2026 /PRNewswire/ — Phylo, Inc. announced today a partnership with Bayer to deploy Biomni Lab, Phylo’s agentic AI platform to accelerate scientific research and evaluation. 

Under the agreement, Phylo will provide Bayer with full access to its agentic platform that helps Bayer scientists bring together scientific literature, biomedical data, and analytical methods in one environment, reducing the manual effort required to assemble and assess evidence. The platform’s inspectable workflows preserve the context behind each result, allowing researchers to review the underlying sources, methods, and execution and apply their own scientific judgment. Bayer scientists will gain access to Biomni Lab for workflows focused on assembling literature and omics evidence for drug discovery.

“This partnership reflects our belief that AI should expand scientific curiosity, not just speed up routine work. Giving our scientists an AI partner that brings rigor to every step lets them explore more ideas, ask bolder questions, and find the insights that move drug discovery forward, ultimately accelerating the pace at which we can bring new medicines to patients,” said Sai Jasti, Senior Vice President, Head of Data Science & Artificial Intelligence, Bayer Pharmaceuticals R&D.

“For agentic AI to matter in research, it has to earn the trust of the scientists doing the work. Bayer’s selection of Biomni Lab is a strong endorsement of the scientific rigor and AI capabilities we’ve built into the platform,” said Kexin Huang, Ph.D., Co-Founder and CEO of Phylo. “Our vision is an AI-native operating system for biopharma, where every scientist can direct a team of AI agents to pursue complex research questions. With Bayer, we aim to show what becomes possible when AI capabilities meet deep scientific expertise: more hypotheses explored, more discoveries made, and new possibilities for medicine.”

About Phylo

Phylo’s mission is to bring the best agentic intelligence to every biomedical scientist. Its enterprise-grade AI platform, Biomni Lab, is the first Integrated Biology Environment—a unified workspace where scientists collaborate with AI agents across literature research, experimental design, biological data analysis, and scientific decision-making.

Biomni Lab is now used by leading global biopharma, including Bayer, Chugai Pharmaceutical and Ono Pharmaceutical. Phylo is based in South San Francisco, backed by Andreessen Horowitz (a16z) and Menlo Ventures.

For more information, visit phylo.bio. To learn more about Biomni Lab, visit biomni.phylo.bio.

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Sandler Partners Welcomes Bryan Rias as Director, Sales Engineer, West Region

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New Hire Announcement | Independent Technology Distributor Sandler Partners grows its Sales Engineering team, adding Bryan Rias as Director, Sales Engineer, West Region.

REDONDO BEACH, Calif., Oct. 22, 2026 /PRNewswire/ — Sandler Partners, the leading independent Technology Solutions Distributor, announces the addition of Bryan Rias as Director, Sales Engineer, West Region, further strengthening its dedicated sales engineering team and the technical support available to Partners in the West Region.

Bryan brings more than two decades of experience designing and delivering complex technology solutions, including enterprise and Cloud architecture roles at Lumen/Savvis and IBM focused on infrastructure modernization and customer success. His expertise spans automation, edge computing, disaster recovery, application performance monitoring (APM), and DevSecOps. In his role, Bryan will support Partners across the West Region, aligning early with them on strategy and leading thoughtful discovery to help them find the right fit for each client.

For Bryan, strong relationships and solid values guide his life and form the foundation of his professional success, a perspective that fits naturally within the Sandler Partners community. When he is not working, Bryan spends time with his family, including his wife, three sons, and a grandson, RVing, boating, and biking, along with pursuing his passion for freediving.

“Bryan brings the kind of hands-on experience our Partners value: he’s been in the room on complex deals and knows how to turn a customer’s needs into the right solution,” says Justin Marano, Chief Revenue Officer, Sandler Partners. “He came to Sandler for the freedom to work across best-of-breed Providers, and our Partners in the West will feel that right away. He’s collaborative, grounded, and focused on helping Partners win. I’m excited to have him on the team.”

“I’m excited to get to work alongside our Partners, helping them navigate complex opportunities and bring clarity to technical decisions,” says Bryan. “For me, it all comes back to relationships. When you build them on trust and shared values, the results follow for our Partners and their clients. That’s something that the Sandler community really embodies, and I look forward to getting to work with our Partners!”

About Sandler Partners
Sandler Partners helps empower its network of leading independent Sales Partners to deliver a comprehensive range of technology solutions to organizations worldwide, including Cybersecurity, Artificial Intelligence (AI), Connectivity, Cloud, Colocation, Mobility, Internet of Things (IoT), and Continuity. Its community-focused approach enables Partners to identify the right solutions for customers quickly and objectively from a diverse portfolio of 220+ Providers. Partner sales agents, VARs, and MSPs gain access to an innovative suite of sales tools within the Sandler Portal—including SCOUT, Solutions Finder, Scout for Solutions, and the Marketing Center—several of which are AI-powered, all backed by a robust support network, dedicated Sales Engineering expertise, and rich marketing resources. Together, these tools and resources empower Partners to focus on what they do best: delivering quality, value, performance, innovative solutions, unmatched expertise, and exceptional service to their clients. Members of the Sandler Partners community also benefit from the industry’s strongest negotiated agreements and a dedicated team committed to ensuring commissions are accurately identified, tracked, and paid. For more information, visit www.sandlerpartners.com.

Sandler Partners – Media Contact
Tina S. Dyksterhouse
tina@sandlerpartners.com
310-861-2295

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