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Spatiotemporal single-cell analysis of gene expression in the mouse suprachiasmatic nucleus
Nature Neuroscience, 2020Mammalian circadian behaviors are orchestrated by the suprachiasmatic nucleus (SCN) in the ventral hypothalamus, but the number of SCN cell types and their functional roles remain unclear. We have used single-cell RNA-sequencing to identify the basic cell types in the mouse SCN and to characterize their circadian and light-induced gene expression ...
Shao’ang Wen +9 more
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A SINC-Seq Protocol for the Analysis of Subcellular Gene Expression in Single Cells
2023Microfluidic devices offer precise control of single cells and molecules by liquid flows, downsizing tools to allow us to perform single-cell assays at unprecedented resolutions and minimizing contamination. In this chapter, we introduce an approach, called single-cell integrated nuclear and cytoplasmic RNA-sequencing (SINC-seq), which enables precise ...
Mahmoud N, Abdelmoez, Hirofumi, Shintaku
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Single Cell Gene Expression Analysis of Pluripotent Stem Cells
2013Analyzing gene expression profiles from cells en masse provides an average profile for the population which may obscure differences in individual cells. Using an optimized workflow for qRT-PCR, gene expression profiles of undifferentiated pluripotent stem cells reveal distinct gene expression profiles for individual cells, and a large expression level ...
Ronald V, Abruzzese, Richard A, Fekete
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Global gene expression analysis of single cells.
Current opinion in drug discovery & development, 2003Gene expression profiling is increasingly being used to study complex disease processes, with a focus toward generating new hypotheses and identifying novel therapeutic approaches. This method requires not only the ability to assign expression data to the correct cell type, but also the aptitude to interpret the subsequent deluge of gene expression ...
Fredrik, Kamme, Mark G, Erlander
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Transfection of Molecular Beacons in Microchannels for Single-Cell Gene-Expression Analysis
Bioanalysis, 2010Efficient transfection of molecular beacons has to be performed in the microscale in order to fully utilize the potential of molecular beacons and microfluidics for studying the real-time gene-expression dynamics in living cells. Nevertheless, there has been relatively little study on transfection of molecular beacons in microfluidic channels.In this ...
Na, Li, Pak Kin, Wong
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Differential gene expression analysis in single-cell RNA sequencing data
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017Differential gene expression analysis is one of the significant efforts in single cell RNA sequencing (scRNAseq) analysis to discover the specific changes in expression levels of individual cell types. Since scRNAseq exhibits multimodality, large amounts of zero counts, and sparsity, it is different from the traditional bulk RNA sequencing (RNAseq ...
Tianyu Wang, Sheida Nabavi
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Analysis of Gene Expression in Genetically Labeled Single Cells
2007A combination of transgenic technology and single-cell reverse transcription polymerase chain reaction (RT-PCR)has been used to study gene expression in dopaminergic amacrine (DA)cells of the mouse retina. Because there are only 900 DA cells, and they cannot be distinguished from neighboring neurons on the basis of their morphology, we labeled them ...
Stefano Gustincich +2 more
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A Fluorescent Reporter for Single Cell Analysis of Gene Expression in Clostridium difficile
2016Genetically identical cells growing under homogeneous growth conditions often display cell-cell variation in gene expression. This variation stems from noise in gene expression and can be adaptive allowing for division of labor and bet-hedging strategies. In particular, for bacterial pathogens, the expression of phenotypes related to virulence can show
Cassona, Carolina Piçarra +3 more
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Genomic data integration & gene expression analysis of single cells
2012Genexpressionsanalyse mittels Microarrays ist heutzutage eine Routinemethode in modernen molekularbiologischen Laboratorien. Basierend auf Genexpressionsdaten lassen sich Gewebe, Zellen oder Tumore sowohl charakterisieren als auch unterscheiden. Die Regulation und Interaktion von Genen untereinander ist jedoch noch nicht vollständig erforscht.
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Microfluidics device for single cell gene expression analysis in Saccharomyces cerevisiae
Yeast, 2006AbstractWe have measured single‐cell gene expression over time using a microfluidics‐based flow cell which physically traps individual yeast using µm‐sized structures (yeast jails). Our goal was to determine variability of gene expression within a cell over time, as well as variability between individual cells.
James, Ryley, Olivia M, Pereira-Smith
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