Connect with us

Technology

Kanazawa University research: Scientists discover hidden weaknesses in microtubules stabilized by a cancer drug

Published

on

High-speed nanoscale imaging reveals how tiny structural defects can cause microtubules to collapse, even when stabilized by the anticancer drug paclitaxel (Taxol).

KANAZAWA, Japan, Oct. 22, 2026 /PRNewswire/ — Researchers at the Nano Life Science Institute (WPI-NanoLSI) at Kanazawa University have discovered that tiny structural defects can trigger the breakdown of microtubules, the microscopic structures that help cells maintain their shape, transport materials and divide. Using high-speed atomic force microscopy, the team observed how these defects develop and sometimes cause microtubules to collapse, even in the presence of paclitaxel, a widely used cancer drug that stabilizes them. The findings, published in ACS Nano, challenge the conventional view that microtubule breakdown begins primarily at their ends and offer new insights into the structural processes that may influence responses to cancer treatment.

Watching the structures that support living cells

Inside almost every cell is a network of microscopic structures known as the cytoskeleton. An important part of this network consists of microtubules, long, hollow tubes assembled from proteins called tubulin. These structures act as internal supports and tracks for transporting materials. They also play an essential role in cell division by helping separate chromosomes into two daughter cells.

Microtubules are constantly changing. They grow by adding tubulin molecules and shrink when these molecules are removed. Sometimes a growing microtubule suddenly begins to shorten rapidly, a process scientists call catastrophe.

For many years, researchers have explained this behavior mainly through changes at the ends of microtubules. In particular, the loss of a stabilizing molecular structure known as the GTP cap can cause the microtubule to begin breaking down.

However, exactly how structural damage develops within the walls of microtubules, and whether such damage can initiate their collapse, has remained difficult to observe directly.

Understanding these processes is particularly important in cancer research. Paclitaxel, also known by the brand name Taxol, is used to treat several types of cancer, including breast and ovarian cancer. It works by stabilizing microtubules and interfering with the changes needed for normal cell division. However, not all cancer cells respond equally to the drug.

Discovering defects inside stabilized microtubules

To investigate how microtubules behave when exposed to paclitaxel, Xin Zhang and colleagues, led by Richard W. Wong at Kanazawa University, used high-speed atomic force microscopy (HS-AFM).

This technique uses an extremely fine probe to scan biological structures in liquid and produce a rapid sequence of images with nanometer-scale detail. Unlike conventional methods that provide static pictures, HS-AFM allows researchers to follow structural changes as they occur.

The team prepared microtubules from purified tubulin proteins, stabilized them with paclitaxel and observed their behavior over time.

At first, many microtubules appeared stable. Their overall tubular shape remained intact, and the researchers could resolve the regularly arranged protein units that make up their walls.

Closer examination, however, revealed something unexpected.

Small defects appeared within otherwise intact regions of the microtubule wall. Some began as shallow depressions only a few nanometers across before gradually developing into larger structural disruptions.

These defects matter because they can weaken the microtubule wall and determine whether the structure remains intact or begins to collapse. Some defects underwent partial repair, while others grew and triggered the breakdown of the microtubule, sometimes spreading in both directions from the damaged region.

Importantly, these changes occurred within the microtubule itself rather than exclusively at its ends, even though the structures had been treated with paclitaxel.

The observations suggest that microtubule stability depends not only on what happens at its ends but also on the condition of the protein framework along its entire length. Tiny structural defects can therefore have consequences for the stability of the whole microtubule.

Four different ways microtubules can collapse

One of the study’s most significant findings was the identification of four distinct patterns of microtubule breakdown.

By analyzing 73 collapse events, the researchers found that 42 percent began at one end of a microtubule, consistent with the conventional model.

However, almost as many events, 40 percent, began at defects within the microtubule wall. In these cases, the structure broke down in both directions from the damaged region.

Another 10 percent of events involved simultaneous breakdown from both ends, while the remaining 8 percent began at multiple sites within the microtubule.

The results show that internal structural defects are a substantial source of microtubule instability under the experimental conditions.

The team also observed temporary structural changes in which parts of the microtubule surface formed curved or arc-like features. Some of these regions underwent further remodeling or partial recovery before either stabilizing or progressing toward collapse.

These observations suggest that microtubule breakdown can develop through a series of structural changes rather than always occurring as a single abrupt event.

Based on these observations, the researchers propose a model called Spontaneous Lattice Decoupling (SLD). The model describes how tiny defects within the microtubule wall can follow two different paths: some undergo repair, allowing the structure to remain intact, while others develop into larger disruptions that eventually cause the microtubule to collapse.

“Microtubules may look stable from the outside, but our observations show that tiny defects can develop within their structure and sometimes lead to complete collapse,” said Richard W. Wong of Kanazawa University’s Nano Life Science Institute. “What is particularly interesting is that these changes can occur even when the microtubules are treated with a drug designed to stabilize them.”

What the findings mean for cancer treatment

Paclitaxel (Taxol) is widely used to treat breast, ovarian, lung and other cancers. It works by stabilizing microtubules and disrupting the structural changes needed for cell division, thereby preventing cancer cells from multiplying.

However, resistance to paclitaxel remains a major clinical challenge. Although several mechanisms of resistance have been identified, the nanoscale structural behavior of microtubules exposed to the drug is not yet fully understood.

The new findings raise an important question: why do microtubules remain vulnerable to structural damage even when treated with a drug designed to stabilize them?

The new findings reveal that paclitaxel-treated microtubules are not necessarily rigid or structurally uniform. Although the drug preserves their overall shape, localized regions can remain vulnerable to structural changes.

This raises the possibility that differences in microtubule structure and the ability to repair or propagate small defects could influence how cells respond to drugs that target microtubules.

The researchers propose a framework in which small structural defects develop, undergo local remodeling, and sometimes progress to microtubule collapse. This sequence provides a way to understand how apparently stable microtubules can still undergo substantial structural changes.

The findings could eventually contribute to research aimed at understanding why some cancer cells respond differently to paclitaxel and related drugs.

However, the present study does not establish a mechanism of drug resistance in cancer cells or demonstrate a new treatment strategy.

The researchers now hope to investigate microtubules associated with cancer cells that are resistant to paclitaxel. By comparing their nanoscale structural behavior with that of microtubules from drug-sensitive cells, they aim to determine whether differences in defect formation, structural stability and repair contribute to resistance. Such studies could provide new insights into why some cancers respond less effectively to microtubule-targeting drugs.

A new view of microtubule stability

Beyond cancer treatment, the findings have implications for understanding the basic biology of microtubules.

These structures are involved in many essential cellular processes, including chromosome separation, intracellular transport and the organization of cell components. Their stability depends on interactions between the individual protein units that form their walls.

The study shows that small local disruptions can have very different outcomes. Some remain temporary and recover, while others spread and lead to the breakdown of an entire microtubule.

The researchers also found that the overall bending of a microtubule was not significantly associated with whether it collapsed. Instead, localized defects appeared to be more closely related to where breakdown began and how it progressed.

By observing these changes directly, the study provides a more detailed picture of how microtubules maintain their structure and how that structure can fail.

Study limitations

The experiments were conducted on microtubules assembled from purified proteins and observed under laboratory conditions rather than inside living cells.

The paclitaxel concentration was selected to provide strong stabilization during prolonged imaging and should not be interpreted as reproducing drug exposure in patients.

Although control experiments showed similar structural changes under different sample preparation conditions, the researchers cannot completely exclude the possibility that interactions between the HS-AFM probe and the microtubules influenced some of the observations

Further studies will be needed to determine how these structural processes occur inside cells and whether they contribute directly to differences in cancer drug sensitivity or resistance.

Figure

https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/En.png

Figure. Spontaneous Lattice Decoupling (SLD) model of microtubule stability and collapse

Schematic illustration of the Spontaneous Lattice Decoupling (SLD) model proposed from high-speed atomic force microscopy (HS-AFM) observations. Tiny defects in the microtubule wall can follow two different pathways. Some undergo structural repair and regrowth, allowing the microtubule to remain intact. Others develop into larger disruptions that spread through the structure and eventually cause it to collapse. The findings reveal how local structural defects can influence whether a microtubule survives or breaks apart.

Image credit: Xin Zhang. Illustration prepared with the assistance of ChatGPT (OpenAI)

Reference

Xin Zhang, Keesiang Lim, Tomohiro Shima, Elma Sakinatus Sajidah, Masaharu Hazawa, Masahide Kikkawa, Toshio Ando and Richard W. Wong. “Zooming into the Cytoskeleton: Nanodefect-Initiated Microtubule Catastrophe Filmed by High-Speed Atomic Force Microscopy.” ACS Nano (2026).

DOI: 10.1021/acsnano.6c07269

URL: https://doi.org/10.1021/acsnano.6c07269

Funding

This research was supported by MEXT/JSPS KAKENHI grants JP24K18449, JP22H05537, JP22H02209, JP23H04278, JP24H01276, JP25H02360, JP26K01637 and JP26K22904; and JPMJSP2135; JST CREST grant JPMJCR22E3; and support from the Takeda Science Foundation and Shimadzu Science Foundation. The research also received support through the World Premier International Research Center Initiative (WPI), Japan.

Acknowledgements

The researchers thank Professor Tomoyuki Tanaka and Dr. Shuyu Li of the University of Dundee for providing GMPCPP-stabilized microtubules, Professor Yu Wu of West China Hospital, Sichuan University, for clinical discussions on leukemia, and Ms. Zeyang Lin for assistance with chemical illustrations and graphical design. They also acknowledge members of the Richard Wong laboratory.

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/ 

 

View original content:https://www.prnewswire.co.uk/news-releases/kanazawa-university-research-scientists-discover-hidden-weaknesses-in-microtubules-stabilized-by-a-cancer-drug-302916595.html

Continue Reading

Technology

Genedata Expands AI Discovery Workflows with NVIDIA BioNeMo Open Models, Including the New RFD4-Proteina Release

Published

on

By

Bringing next-generation binder design models into production discovery

BASEL, Switzerland, Oct. 22, 2026 /PRNewswire/ — Genedata, a Danaher company, and the leading provider of enterprise software solutions for biopharmaceutical R&D, today announced the addition of the new RFD4-Proteina binder design model into Genedata’s AI-enabled discovery workflows, following the model’s introduction at NVIDIA GTC Berlin. As an early ecosystem partner, Genedata is among the first companies to make RFD4-Proteina available within its production discovery workflows. By connecting AI-generated molecular designs, scientific data, and laboratory results, Genedata helps researchers transform AI predictions into continuous learning cycles that accelerate biologics discovery.

The workflow begins with scientists defining target characteristics and required properties using Genedata’s AI co-scientist. NVIDIA’s open protein design models then generate and evaluate candidate binders within Genedata. As candidates move into laboratory testing, results are captured and linked back to the original designs, helping scientists refine and rank the next round.

“Advances in AI are creating unprecedented opportunities for protein and antibody discovery, but unlocking their full value requires more than access to powerful models alone,” said Othmar Pfannes, Ph.D., President of Genedata. “Researchers need a way to connect molecular design, experimental execution, and scientific data into a continuous learning process. Genedata serves as the digital backbone that brings these elements together, helping scientists evaluate more candidates before testing, preserve the scientific context behind each outcome, and build knowledge from one discovery cycle to the next.”

While advances in generative AI are rapidly expanding what scientists can design, many organizations still struggle to operationalize these models within production scientific research workflows. Genedata provides the orchestration, governance, and scientific data foundation needed to deploy NVIDIA BioNeMo open models, including RFD4-Proteina, directly within the discovery workflows scientists use every day. Researchers can apply AI-generated designs within established processes while maintaining lineage, traceability, and scientific context across the discovery lifecycle.

Within Danaher’s autonomous laboratory initiative, these capabilities connect AI, automation, and scientific data in a closed-loop discovery framework where each experimental outcome informs the next design cycle, creating a continuous learn-and-improve process that advances science while keeping scientists in control.

About Genedata
Genedata, a Danaher company and the leading provider of enterprise software solutions for biopharma R&D, transforms biopharma data into intelligence. Our innovative solutions combine deep science, technology, and AI domain knowledge. Leading biopharma organizations and cutting-edge biotechs partner with Genedata to digitalize and automate complex data workflows. Our advanced analytics and embedded AI enable data-driven decisions. From early discovery through development to the clinic, Genedata solutions drive innovation and maximize ROI being trusted by customers worldwide for more than 25 years.

www.genedata.com
LinkedIn | YouTube

About Danaher
Danaher is a leading global life sciences and diagnostics innovator, committed to accelerating the power of science and technology to improve human health. Through our connected ecosystem of industry-leading businesses, we work side by side with customers to solve their most complex scientific and clinical challenges—helping move innovations from discovery to delivery faster for patients who depend on them. Powered by the Danaher Business System, our advanced science and technology and proven ability to innovate help enable faster, more accurate diagnoses and reduce the time, cost, and risk required to discover, develop, and deliver life-changing therapies. Through continuous improvement and operational excellence, our approximately 60,000 associates worldwide are focused on delivering lasting impact and improving quality of life around the world, while building a healthier, more sustainable tomorrow. Explore more at www.danaher.com.

Disclaimer

The statements in this press release that relate to future plans, events or performance are forward-looking statements that involve risks and uncertainties, including risks associated with uncertainties related to contract cancellations, developing risks, competitive factors, uncertainties pertaining to customer orders, demand for products and services, development of markets for the Company’s products and services. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. The Company undertakes no obligation to release publicly the result of any revisions to these forward-looking statements that may be made to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events.

All product and service names mentioned are the trademarks of their respective companies.

View original content to download multimedia:https://www.prnewswire.com/news-releases/genedata-expands-ai-discovery-workflows-with-nvidia-bionemo-open-models-including-the-new-rfd4-proteina-release-302915726.html

SOURCE Genedata

Continue Reading

Technology

Bybit AI Empowers Users with Their Personal Financial Edge, Adding Personalization and Memory

Published

on

By

DUBAI, UAE, Oct. 22, 2026 /PRNewswire/ — Bybit, the New Financial Platform trusted by more than 80 million users worldwide, has announced new personalization and memory features for Bybit AI, its in-app intelligent conversational layer. Bybit AI now builds a profile from each user’s assets, positions, behavior and risk profile, connecting wealth, markets and trading across the Bybit ecosystem.

Launched in September, Bybit AI organically unifies Bybit’s core services within a single chat interface. The newly added features extend its capacity from responding to individual requests to maintaining a continuous understanding of the user, giving each user their personal financial edge.

Putting the user at the center, Bybit AI is evolving on three pillars:

Personalized: With permissions granted and limits set, Bybit AI analyzes actual account information, including financial behavior and risk profile alongside assets and positions, to generate outputs tailored to the individual.Connected: Bybit AI links Markets, Trading, Earn, Card and other Bybit products, drawing on the full picture of a user’s holdings and activity rather than a single product.Remembered: Users can proactively share their preferences with Bybit AI, which retains this context through long-term memory so that each conversation builds on the previous one.

The release also introduces Featured, a set of customized entry points for specific use cases. Each entry point offers predefined prompts, such as generating a wealth management plan based on a user’s assets and risk tolerance, and returns structured analysis with key data, clear insights and suggested next steps.

Bybit AI supports main account operations while giving users the option to deploy it within a dedicated Bybit AI sub-account. The AI-powered assistant is built on a security-first architecture. Outputs are provided for informational purposes only and do not constitute investment advice. Instructions are executed in chats only after customer authorizations.

Bybit expects to introduce further updates to Bybit AI as it continues to build toward AI-native financial services, with conversational intelligence positioned as core infrastructure.

To explore Bybit AI and learn more about how it works, users may visit: Bybit AI  – Learn how to use Bybit through conversation.

#Bybit  / #NewFinancialPlatform 

About Bybit

Bybit is The New Financial Platform.

We believe every person should have access to every financial opportunity on earth. That’s why we’re building the first intelligent platform that connects anyone, anywhere to the world’s finance.

Trusted by more than 80 million users worldwide, Bybit brings together investing, trading, payments, and wealth-building in a single secure and intelligent ecosystem. Through the combination of AI-powered technology, deep global liquidity, robust security, and transparent operations, Bybit makes global finance more accessible, efficient, and empowering for everyone.

Built for everyone. Powered by intelligence. Open to the world.

Learn more at Bybit.com.

For more details about Bybit, please visit Bybit Press

For media inquiries, please contact: media@bybit.com

For updates, please follow: Bybit’s Communities and Social Media

Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube

View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/bybit-ai-empowers-users-with-their-personal-financial-edge-adding-personalization-and-memory-302916350.html

Continue Reading

Technology

Poq is now a Shopify Certified Technology Partner

Published

on

By

LONDON, Oct. 22, 2026 /PRNewswire/ —  poq, the native mobile app platform for retail brands, today announced it has been recognised as a Shopify Certified Technology Partner. Shopify’s certification is reserved for app partners that meet Shopify’s standards for quality, security, performance and support. poq is now listed in the Shopify Technology Partner Directory and the Certified Technology Partner App Store Collection, making it easier for enterprise Shopify merchants to find and adopt a proven native app platform.

poq already powers native iOS and Android apps for joint customers including Ardene, Steve Madden UK, e.l.f. Beauty (globally), Horze (pan-European), Mamas & Papas (UK) and ECO. Modern Essentials (ANZ and UK). Across the poq platform, shoppers convert at 1.8 times the rate of mobile web, based on the median across 21 brands from January 2025 to January 2026.

“Certification from Shopify is independent validation that poq meets the high standard Shopify sets for its technology partners,” said Jay Johnston, CEO of poq. “Our customers use their apps to build loyalty and drive repeat purchases from their most valuable shoppers. This recognition means more Shopify merchants can launch a high-performing native app with confidence, on a platform already proven at scale across four continents.”

Results for Shopify Brands

European equestrian retailer Horze moved to Shopify and chose to stay with poq for its native app. “After choosing to continue working together, I can confidently say that this was absolutely the right decision. The level of motivation, ownership, and commitment the poq team demonstrated throughout the project was truly impressive,” said Dominik Schlag, CFO of Horze.

In the UK, Mamas & Papas uses its poq app to make shopping easier for busy parents. “Our poq app makes shopping with us quick and easy wherever they are, and drives loyalty and repeat purchases,” said Jo Molineux, Digital Director at Mamas & Papas.

About poq

poq is a leading Software-as-a-Service (SaaS) platform that empowers retailers and brands to create and maintain engaging, high-performance native mobile apps. With a focus on driving customer engagement and revenue, poq’s platform enables seamless integration, powerful personalisation, and an enhanced shopping experience for businesses worldwide. Learn more at poqcommerce.com.

Media contact
Emma Williams, Marketing Lead
emma.williams@poqcommerce.com  

View original content to download multimedia:https://www.prnewswire.com/news-releases/poq-is-now-a-shopify-certified-technology-partner-302915873.html

SOURCE Poq

Continue Reading

Trending