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Showing 1 to 11 of 11 for “"single cell assays"”.

  1. Microfluidics for Cell Culture and Single Cell Assays

    Elucidating molecular processes that govern cell function is paramount in forming a basis for understanding human health and treating disease. Research is presently limited by investigating in bulk, where information on critical subsets of cells is lost through averaging across an entire …

    cambridge Repository record for Microfluidics for Cell Culture and Single Cell Assays (opens in a new tab)

  2. Investigating intratumoural heterogeneity and plasticity with multiplexed single-cell assays

    … heterogeneity and plastic nature of cancer cells through single-cell RNA-sequencing (scRNA-seq) of patient tumours. Drug combinations are a promising strategy to overcome treatment resistance but little is known about how CRC cells invoke cellular plasticity by shifting their cell states …

    cambridge Repository record for Investigating intratumoural heterogeneity and plasticity with multiplexed single-cell assays (opens in a new tab)

  3. Aligning heterogenous single cell assay datasets

    Pluripotent stem cells offer strong promise for regenerative medicine but the pluripotent cell state is poorly understood. The goal of this thesis is the development of methods to analyze how the multiple facets of cell state-including gene expression, chromosome contacts, and chromatin …

    mit Repository record for Aligning heterogenous single cell assay datasets (opens in a new tab)

  4. Controls Over S-Phase And Over Nuclear Synchrony

    <p>Nearly forty years ago, cell fusion experiments revealed two tenets of our understanding of the cell cycle today. One, controls maintain ordered progression of the cell cycle. Two, diffusible factors in the cytoplasm promote cell cycle transitions. The studies presented here stem from those …

    rockefeller Repository record for Controls Over S-Phase And Over Nuclear Synchrony (opens in a new tab)

  5. Machine Learning Approaches to Multi-Modal Data Integration and Translation in Single-Cell Biology

    Building a complete picture of cell state requires measuring different properties of the cells, such as their gene expression, morphology, etc., and understanding 1) how these properties relate to each other, 2) how they change over time, 3) how they are affected by different perturbations. It is …

    mit Repository record for Machine Learning Approaches to Multi-Modal Data Integration and Translation in Single-Cell Biology (opens in a new tab)

  6. Statistical modelling to determine the influence of vaccine dose and prior Mycobacterium tuberculosis exposure on antigen-specific T cell responses

    … are frequencies of antigen-specific CD4 T cells expressing different combinations of immunological markers over three time points. Two M.tb antigens are investigated: Ag85B and ESAT-6. The dissertation compares the results produced by the standard procedures that would typically be employed …

    cape-town Repository record for Statistical modelling to determine the influence of vaccine dose and prior Mycobacterium tuberculosis exposure on antigen-specific T cell responses (opens in a new tab)

  7. Single-cell analyses of tumor-infiltrating immune cells

    … the presence of specific biomarkers that may be cellular, protein-based, or genomic in nature. Specifically, the discovery of cell-based biomarkers via the study of patient biopsies and other related samples remains a key problem due to the limited numbers of cells involved, and current …

    mit Repository record for Single-cell analyses of tumor-infiltrating immune cells (opens in a new tab)

  8. ULTRA SCALABLE METHODS FOR DIFFERENTIAL TESTING OF SPATIAL-OMIC DATA

    … of molecular measurements. Unlike traditional single-cell assays, which dissociate cells from their native environments, spatial methods retain information about each cell’s physical location and neighborhood. This spatial context enables researchers to explore how cellular processes such as …

    penn Repository record for ULTRA SCALABLE METHODS FOR DIFFERENTIAL TESTING OF SPATIAL-OMIC DATA (opens in a new tab)

  9. STATISTICAL FOUNDATIONS OF SINGLE CELL OPEN CHROMATIN ASSAYS

    Single cell genomic assays are emerging technologies that measure biomolecules in each individual cell. The ability to measure molecules at the single-cell level provides unique opportunities to disentangle complex biological processes. Powered by technological advancements and the ever-decreasing …

    penn Repository record for STATISTICAL FOUNDATIONS OF SINGLE CELL OPEN CHROMATIN ASSAYS (opens in a new tab)

  10. Microfluidic concentration-enhanced single cell enzyme activity assay

    Cells sense stimuli, process information and respond using signaling networks regulated by enzymatic activity of various proteins. Aberrations in signaling are associated with diseases such as cancer. Most current methods lack the sensitivity to measure enzymatic activity in single cells and …

    mit Repository record for Microfluidic concentration-enhanced single cell enzyme activity assay (opens in a new tab)

  11. Approaches for Microfluidics-Enabled, Bacterial, Single-Cell Synthetic Biology

    … of biocomputing, i.e. the engineering of cell behaviour, has seen tremendous interest in applications ranging from medicine (e.g. living anti-cancer therapeutics) to the transportation industry (e.g. antifouling agent-producing bacteria living on submerged hulls of ships). In these complex …

    cambridge Repository record for Approaches for Microfluidics-Enabled, Bacterial, Single-Cell Synthetic Biology (opens in a new tab)