An international consortium of thousands of scientists is creating the Human Cell Atlas, a three-dimensional map of all the cells in the body. The goal is to understand all the cells that make up human tissues, organs and systems, which will enable multiple medical applications. This collection of cell maps is openly available for navigation at single-cell resolution, identified through omics analyses that reveal the tridimensional distribution of each cell.
The development of new machine learning tools like Alphafold and Rfdiffusion has allowed scientists to predict the structure of proteins and design them for drug discovery purposes, among other uses. Now, scientists at the Arc Institute have created Evo, an AI model that generates DNA sequences and estimates their interaction with other molecules at single-nucleotide resolution, scalable to an entire genome.
Many studies have linked the presence of specific bacteria to various diseases. But a general overgrowth of gut bacteria can be a symptom of different conditions, including colorectal cancer and inflammatory bowel disease. A study counting gut microbiome proposes that microbial load, rather than the disease, could explain the presence of certain pathogens.
The development of new machine learning tools like Alphafold and Rfdiffusion has allowed scientists to predict the structure of proteins and design them for drug discovery purposes, among other uses. Now, scientists at the Arc Institute have created Evo, an AI model that generates DNA sequences and estimates their interaction with other molecules at single-nucleotide resolution, scalable to an entire genome.
Many studies have linked the presence of specific bacteria to various diseases. But a general overgrowth of gut bacteria can be a symptom of different conditions, including colorectal cancer and inflammatory bowel disease. A study counting gut microbiome proposes that microbial load, rather than the disease, could explain the presence of certain pathogens.
Cancer therapies can eliminate specific tumors based on their genetic content. However, some cancer cells survive. How do they do it? Part of the answer lies in extrachromosomal DNA (ecDNA), an ace up the tumors’ sleeve to adapt and evade attack. Three simultaneous studies in the journal Nature lay all the cards on the table, revealing ecDNAs’ content, their origin, their inheritance, their influence in cancer, and a way to combat them.
Six main cell types form glioblastomas, the most aggressive brain cancer due to its high rate of recurrence. Of these six, quiescent cancer stem cells are responsible for resistance to therapy and the reappearance of the tumor, according to a study that identified the six groups and highlighted the importance of these stem cells for the design of more effective therapies.
Cancer therapies can eliminate specific tumors based on their genetic content. However, some cancer cells survive. How do they do it? Part of the answer lies in extrachromosomal DNA (ecDNA), an ace up the tumors’ sleeve to adapt and evade attack. Three simultaneous studies in the journal Nature lay all the cards on the table, revealing ecDNAs’ content, their origin, their inheritance, their influence in cancer, and a way to combat them.
Six main cell types form glioblastomas (GBM), the most aggressive brain cancer due to its high rate of recurrence. Of these six, quiescent cancer stem cells are responsible for resistance to therapy and the reappearance of the tumor, according to a study that identified the six groups and highlighted the importance of these stem cells for the design of more effective therapies.
Cancer therapies can eliminate specific tumors based on their genetic content. However, some cancer cells survive. How do they do it? Part of the answer lies in extrachromosomal DNA (ecDNA), an ace up the tumors’ sleeve to adapt and evade attack. Three simultaneous studies in the journal Nature lay all the cards on the table, revealing ecDNAs’ content, their origin, their inheritance, their influence in cancer, and a way to combat them.
