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American Focus > Blog > Tech and Science > How a bacterial toxin linked to colon cancer messes with DNA
Tech and Science

How a bacterial toxin linked to colon cancer messes with DNA

Last updated: December 4, 2025 10:40 pm
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How a bacterial toxin linked to colon cancer messes with DNA
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The researchers then captured a high-resolution image of colibactin as it interacted with DNA. The molecule, they found, weaves itself into the DNA double helix, throwing a chemical wrench between the two twisted strands. When cells attempt to repair this damage, mistakes can occur, leaving behind mutations that are associated with colon cancer.

This close-up view of colibactin’s structure revealed that the molecule is shaped just right to snuggle up to DNA and wreak havoc. Its structure allows it to target specific stretches of DNA, causing mutations that are characteristic of colon cancer. By understanding how colibactin interacts with DNA, scientists can gain insight into how this toxin contributes to cancer formation.

The discovery of colibactin’s structure paves the way for future research into developing tests for colibactin exposure. These tests could help doctors evaluate cancer risk in patients and potentially lead to new treatments for colon cancer.

Overall, this study sheds light on the harmful effects of colibactin, a microbial toxin produced by gut bacteria. By understanding how colibactin interacts with DNA, scientists are one step closer to unraveling the mysteries of colon cancer and developing innovative strategies for cancer prevention and treatment. Researchers have made a significant breakthrough in understanding how colibactin, a molecule produced by certain strains of E. coli bacteria, interacts with DNA to promote colon cancer. By studying the structure of colibactin using advanced techniques like mass spectroscopy and nuclear magnetic resonance spectroscopy, scientists were able to uncover the key features that allow colibactin to target specific DNA sequences.

The researchers discovered that colibactin’s unstable core plays a crucial role in its ability to recognize and bind to specific DNA sequences. This core contains nitrogen-bearing groups with positively charged protons, which help the molecule to identify its preferred targets. Additionally, colibactin has two long arms with sticky nitrogen groups and triangular warheads made of three carbons, which enable it to form chemical bonds with DNA.

When colibactin latches onto a DNA sequence, it forms an interstrand cross-link that prevents the DNA from replicating or being read by the cell’s protein-making machinery. While cells can attempt to repair this damage, the process often leads to mutations in the DNA sequence. Interestingly, colon cancers associated with colibactin frequently exhibit mutations in the same DNA sequences targeted by the molecule.

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The researchers’ findings represent a significant step forward in understanding colibactin’s structure and its role in promoting colon cancer. After nearly 20 years of research, this discovery sheds light on the mechanisms by which colibactin contributes to the development of cancer.

Dr. Balskus, a leading chemist involved in the research, expressed her excitement at the progress made in unraveling colibactin’s structure. This breakthrough not only deepens our understanding of the molecule but also opens up new possibilities for developing targeted therapies to combat colibactin-induced colon cancer.

In conclusion, the researchers’ work represents a significant milestone in the field of cancer research and paves the way for further investigations into the mechanisms of colibactin and its potential therapeutic implications. The world of technology is constantly evolving, with new innovations and advancements being made every day. One such advancement that has been gaining popularity in recent years is artificial intelligence (AI). AI is the simulation of human intelligence processes by machines, especially computer systems. It involves the use of algorithms and data to enable machines to learn and make decisions on their own.

One of the most prominent uses of AI technology is in the field of healthcare. AI has the potential to revolutionize the way healthcare is delivered, by enabling more accurate diagnosis, personalized treatment plans, and even predicting potential health issues before they arise. In fact, AI has already been used to detect diseases such as cancer and diabetes at earlier stages, leading to better outcomes for patients.

Another area where AI is making a significant impact is in the field of finance. AI-powered algorithms are being used to analyze market trends, predict stock prices, and even automate trading processes. This has led to more efficient and profitable trading strategies, as well as reduced the risk of human error.

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AI is also being used in the field of transportation, with self-driving cars becoming a reality. These cars use AI algorithms to navigate roads, detect obstacles, and make decisions in real-time. This technology has the potential to reduce accidents and traffic congestion, as well as improve the overall efficiency of transportation systems.

In the field of education, AI is being used to personalize learning experiences for students. By analyzing data on student performance and behavior, AI algorithms can tailor educational content to meet the needs of individual students, leading to better academic outcomes.

While the potential benefits of AI are vast, there are also concerns about the ethical implications of this technology. Issues such as privacy, bias in algorithms, and the potential for job displacement are all areas that need to be carefully considered as AI continues to advance.

Overall, AI is a powerful tool that has the potential to transform industries and improve our lives in countless ways. As we continue to harness the power of AI, it will be important to ensure that it is used responsibly and ethically, in order to maximize its benefits for society as a whole. The world of technology is constantly evolving, with new innovations and breakthroughs being made every day. One of the most exciting developments in recent years has been the rise of artificial intelligence (AI) and machine learning.

AI is a broad term that refers to the development of computer systems that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning is a subset of AI that focuses on teaching computers to learn from data and improve their performance over time.

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One of the most popular applications of AI and machine learning is in the field of autonomous vehicles. Companies like Tesla, Waymo, and Uber are investing heavily in developing self-driving cars that can navigate roads safely and efficiently without human intervention. These vehicles use AI algorithms to analyze data from sensors, cameras, and GPS to make decisions in real-time, such as when to accelerate, brake, or change lanes.

Another area where AI and machine learning are making a big impact is in healthcare. Researchers are using these technologies to analyze medical imaging data, such as X-rays, MRIs, and CT scans, to detect diseases like cancer, heart disease, and Alzheimer’s at an early stage. AI algorithms can also be used to personalize treatment plans for patients based on their genetic makeup, lifestyle, and medical history.

In the field of finance, AI and machine learning are being used to predict stock market trends, detect fraud, and optimize investment portfolios. Banks and financial institutions are leveraging these technologies to automate routine tasks, improve customer service, and reduce operational costs.

AI-powered chatbots are also becoming increasingly popular in customer service. These virtual assistants can answer questions, provide information, and troubleshoot problems for users on websites, mobile apps, and social media platforms. By using natural language processing and machine learning, chatbots can understand and respond to customer inquiries in a more human-like way.

Overall, the potential of AI and machine learning is vast and continues to grow as researchers and developers find new ways to apply these technologies across different industries. While there are concerns about the ethical implications and potential job displacement that AI may bring, there is no denying that these advancements have the power to revolutionize our world for the better. As we move forward into the future, it will be crucial for us to embrace and harness the potential of AI and machine learning in a responsible and ethical manner.

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