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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Detection of subpopulation-specific neuronal membrane molecules using single-cell expression data
 Zátko, Matěj ; Modrák, Martin (advisor) ; Kubovčiak, Jan (referee)
Single-cell RNA sequencing is a powerful technology that allows the investigation of gene expression at an unprecedented level. Insights into gene expression in individual cells can help biologists uncover cellular heterogeneity and identify previously unknown cell types. Here, we use single-cell RNA sequencing datasets that reveal subtypes of mouse neurons to find population-specific membrane proteins. These proteins could potentially serve as entry points for targeted drug distribution, allowing for drugs to act only on se- lected neuronal populations. We start by identifying five suitable single-cell mouse neuron datasets. Next, we present an overview and a comparison of currently available methods for differential gene expression analysis, an approach that involves quantifying variations in gene expression between groups and/or conditions, based on previous benchmarks. Lastly, we apply the Wilcoxon rank-sum test to selected datasets in order to identify population-specific membrane proteins. 1
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