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Checkpoint immunotherapy utilizing PD-1 blockade has become the standard of care for metastatic melanoma. While this treatment is effective in 40% of patients, the other 60% develop resistance, leading to tumor regrowth. A multidisciplinary research team led by the University of California, Irvine has identified a new strategy that could enhance the therapeutic effectiveness of this therapy by targeting the communication between immune cells within the tumor. ....
Single-cell and spatial transcriptomics identify a macrophage population associated with skeletal muscle fibrosis science.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from science.org Daily Mail and Mail on Sunday newspapers.
UCI researchers join forces to tackle challenges in human health and the environment uci.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from uci.edu Daily Mail and Mail on Sunday newspapers.
E-Mail IMAGE: Overview of how CellChat can convert molecular language of cells into the translation that is interpretable by researchers. view more Credit: Suoqin Jin, Qing Nie & Maksim Plikus / UCI Irvine, Calif. An interdisciplinary team of biologists and mathematicians at the University of California, Irvine has developed a new tool to help decipher the language cells use to communicate with one another. In a paper published today in Nature Communications, the researchers introduce CellChat, a computational platform that enables the decoding of signaling molecules that transmit information and commands between the cells that come together to form biological tissues and even entire organs. ....
New deep-learning framework predicts gene regulation at single-cell level Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. Deep learning, a family of machine-learning methods based on artificial neural networks, has revolutionized applications such as image interpretation, natural language processing and autonomous driving. In a study published recently in Science Advances, UCI researchers describe how the technique can also be successfully used to observe gene regulation at the cellular level. Until now, that process had been limited to tissue-level analysis. According to co-senior author Xiaohui Xie, UCI professor of computer science, the framework enables the study of transcription factor binding at the cellular level, which was previously impossible due to the intrinsic noise and sparsity of single-cell data. A transcription factor is a protein that controls ....