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Cytotoxicity and exhaustion signatures were derived from differentially expressed genes across all CD8 + T cell subtypes. Pearson correlation between the reference gene GZMK (cytotoxicity signature) or HAVCR2 (exhaustion signature) and all other genes across CD8 + T cells using scaled expression values was analyzed. The top 30 genes having the highest correlation with the reference genes ( GZMK or HAVCR2) were defined as cytotoxicity and exhaustion signature genes, respectively. For CD4 + T cells, the IL2RA gene was chosen as the reference gene for defining the Treg signature using the same method. We computed signature scores for individual cells using AddModuleScore function in Seurat. WES analysis N00.00290: Designing a Singular Objective Light-Sheet (SOLS) Microscope for Visualization and Characterization of Cytoskeleton Networks Avizienyte, E. & Frame, M. C. Src and FAK signalling controls adhesion fate and the epithelial-to-mesenchymal transition. Curr. Opin. Cell Biol. 17, 542–547 (2005). N00.00088: Leveraging Modern Computational Tools to Identify the Glass Transition From Noisy Data on Thin Polymer Films

Erdong WANG | scientist | Brookhaven National Laboratory, NY

N00.00311: Predicting phenotype to mechanotype relationship in cells based on intracellular signaling networks N00.00066: Exploring and tuning the morphologies in coarse-grained polymerized ionic liquids: a molecular dynamics study Alexandro Trevino, Dorina M Chipara, Alejandro Garcia, Manuel Peredo, Karen Martirosyan, Mircea Chipara N00.00038: Tunable Swelling Behaviors and Transparency of Stimuli-responsive Supramolecular Hydrogels for Multi-actuation

N00.00170: Linear and quadratic electromechanical effects of a room temperature ferroelectric nematic liquid crystal

HMS1 interacts with HMS1I to regulate very‐long‐chain fatty

N00.00334: One nose but two nostrils: interaction between two hemispheres aligns bilateral responses Li H, Liu D, Dai Y, Luan TH, Shen XS (2015) Enabling efficient multi-keyword ranked search over encrypted mobile cloud data through blind storage. IEEE Trans Emerg Top Comput 3(1):127–138N00.00262: The Capillary-driven Two-phase Embedded Microchannel Heatsink for the Efficient Cooling of Power Electronic Modules N00.00073: Computer simulations of melts of ring polymers with non-conserved topology: A dynamic Monte Carlo lattice model N00.00322: Characterization of swimming behavior of Daphnia magna in presence of a Dopamine agonist We next interrogated potential cellular differentiation trajectories of fibroblasts by RNA velocity. A cellular hierarchy was unveiled with two main trajectories: one cellular group differentiated through ERF/IRF towards TPF and then SLF; the second path went along ERF and proceeded directly towards SLF (Fig. 8d). Accordingly, we proposed a progression model for the functional state transition across fibroblast subsets (Fig. 8e).