pGENMi predicts genomic features associated with drug responses
A new system, pGENMi, could predict genomic features associated with drug responses, by identifying differences in gene expression...
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A new system, pGENMi, could predict genomic features associated with drug responses, by identifying differences in gene expression...
New statistical method, ALFRED, could identify predisposition for cancers by using cancer genome data sets to identify risk variants.
Researchers have found that cancer cells evade destruction by macrophages in two ways...
Researchers report that in preclinical models they can amplify macrophage immune responses against cancer using a self-assembling supramolecule...
Researchers have developed a new computational method that increases the ability to track the spread of cancer cells from one part of the body to another...
Researchers have identified a new gene that plays a critical role in regulating the body's immune response to infection and disease...
Researchers have discovered that a protein called Munc13-4 helps cancer cells secrete large numbers of exosomes that stimulate tumour progression...
A discovery about how human cells are 'triggered' to undergo an inflammatory type of cell death could have implications for treating cancer, stroke and tissue injury, and immune disorders...
Therapeutic use of gene editing with the so-called CRISPR-Cas9 technique may inadvertently increase the risk of cancer...
Scientists have discovered how the most important gene in preventing human cancer, p53, is able to stop the development of lymphoma and potentially other types of cancer...
Scientists in the Netherlands have investigated the structure of the human glutamine transporter ASCT2 in a bid to generate leads for cancer drug development.
This In-Depth Focus reviews the history of cancer treatments, looks at improving the translation of disease biology though phenomics, and considers how to enhance cell bioprocessing through cell-based combinatorial culture.
A new study by the University of Arizona (UA) suggests that revealing all the steps required to activate an enzyme called a protein kinase may help identify new ways to target cancer.
Using data from multiple molecular databases, researchers from the University of Pennsylvania have found nine distinct types of exhausted T cells (‘Tex’), which could have implications for fighting chronic infections, autoimmunity, and cancer.
In a new study based on mouse cells, researchers have identified several new potential targets using state-of-the-art technology, many of which could be employed for future treatment of different types of cancers and diseases.