View chapter Explore book Immunomodulating and anticancer agents in the realm of macromycetes fungi (macrofungi) Mohammad-FataMoradali, ...Ghorban-AliHedjaroude, inInternational Immunopharmacology, 2007 4.1.1Effect on dendritic cells DCs are bone marrow-derived immuneaccessory cellsthat are found in ...
Chapter © 2021 Development of a 48-Well Dynamic Suspension Culture System for Pancreatic Differentiation from Human Embryonic Stem Cells Article 02 December 2021 Background Human-induced pluripotent stem cells (iPSCs) possess the potential to revolutionize the field of regenerative medicine, offeri...
Review ReportsVersions Notes Simple Summary Cancer treatments have significantly changed with the introduction of immunotherapy. Recently, the development of new agents that harness the redirection of T-cells against cancer is rapidly emerging in multiple tumor types. Since bispecific T-cell engager (BiTE...
As already mentioned in the chapter called Cells of bone, osteocytes are the most common cell type in bones and represent fully matured bone cells that are embedded within the mineralized bone matrix. Osteocytes are distinctive in their stellate-shaped morphology, with numerous dendrites extending ...
αβ T cells express CD4 or CD8 coreceptor molecules that bind to a non-polymorphic region of MHC class II or I, respectively, to increase T cell-APC adhesion and facilitate T cell activation. View chapterExplore book T CELLS AND THE THYMUS In Immunology Guidebook, 2004 T cell receptor ...
Chapter © 2022 Tumor intrinsic immunity related proteins may be novel tumor suppressors in some types of cancer Article Open access 29 July 2019 CRISPR activation screen identifies BCL-2 proteins and B3GNT2 as drivers of cancer resistance to T cell-mediated cytotoxicity Article Open access...
a normal distribution, the use of a Student’s t-test for large numbers may be not appropriate. Hence, we also describe the difference in their distributions. For both astrocyte and immune cell classes, more than half of the cells of each class exhibited a lower UMI count than the lowest...
Chapter Google Scholar Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods. 2021;18:203–11. Article CAS Google Scholar He K, Gkioxari G, Dollár P, Girshick R. Mask R-CNN....
The final models were trained using a multiclass logistic regression algorithm, in which the categorical cross-entropy was used as a loss function (Fig. 3d). The model trained on the K562 data was named AIdit_DSB_K562, and the model trained on the Jurkat data was named AIdit_DSB_Jurkat...
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