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Titlebook: Single Cell ‘Omics of Neuronal Cells; Jonathan V. Sweedler,James Eberwine,Scott E. Frase Book 2022 The Editor(s) (if applicable) and The A

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Single Cell aRNA-Seq for Transcriptomics and Cellular Phenotyping,of biochemical state. These data are useful in understanding cell responses to normal physiology and disease etiology. They are provided a map for manipulating the dynamics of signal transduction, thereby opening the door to discover novel druggable target that may be useful in developing clinical t
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Single-Cell Genomic and Epigenomic DNA Analyses, to the epigenome, such as DNA methylation, posttranslational histone modifications, and alterations to chromosome conformation and chromatin accessibility play a crucial regulatory role in gene expression and are involved in many biological processes. We list the available approaches to study these
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Joint Analysis of Transcriptome and Proteome Measurements in Single Cells with totalVI,and conducting downstream analysis with totalVI. This joint analysis of single-cell multi-omic data not only provides a richer definition of cell state but also has the potential to elucidate the dynamics and mechanisms of cellular processes by characterizing the relationship between molecular layer
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High-Throughput Image-Guided Microprobe Mass Spectrometric Analysis of Single Cells,ces overall data size. As a result, more informative data sets are produced in less time with fewer resources. Employing this strategy, we present a multistage protocol for optical image-guided, high-throughput single cell analysis by MALDI MS. We outline steps for the isolation and preparation of s
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Single-Cell Resolution Immunoblotting,his chapter, we describe the general principles, protocols, and considerations of single-cell western blotting and single-cell isoelectric focusing with the aim of informing the reader so as to adopt and adapt these cytometry tools to their own lines of biological inquiry.
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Quantifying Enzyme Activity and Gene Expression Within Single Cells Using a Multiplexed Capillary Easurements of thousands of unique genes simultaneously, yielding a rich data set describing the cellular genotype or RNA expression pattern. Furthermore, sequencing methods and hardware have grown increasingly more robust and cost-effective over time. While these developments are impressive, methods
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Genetically Encoded Biosensors Reveal Spatiotemporal Dynamics and Cellular Heterogeneity of Neuronaew of genetically encodable biosensors and discuss several studies in which biosensors were used to answer specific questions in neuroscience, highlighting the vital role of genetically encodable biosensors in studying neuronal processes in a variety of contexts.
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