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Global gene expression analysis of single cells.

Current opinion in drug discovery & development, 2003
Gene 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
openaire   +1 more source

Quantitative analysis of gene expression in a single cell by qPCR

Nature Methods, 2009
We developed a quantitative PCR method featuring a reusable single-cell cDNA library immobilized on beads for measuring the expression of multiple genes in a single cell. We used this method to analyze multiple cDNA targets (from several copies to several hundred thousand copies) with an experimental error of 15.9% or less.
Kiyomi, Taniguchi   +2 more
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Spatiotemporal single-cell analysis of gene expression in the mouse suprachiasmatic nucleus

Nature Neuroscience, 2020
Mammalian 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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Genomic data integration & gene expression analysis of single cells

2012
Genexpressionsanalyse 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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Analysis of Gene Expression in Genetically Labeled Single Cells

2007
A 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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Differential gene expression analysis in single-cell RNA sequencing data

2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017
Differential 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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Microfluidics device for single cell gene expression analysis in Saccharomyces cerevisiae

Yeast, 2006
AbstractWe 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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Transfection of Molecular Beacons in Microchannels for Single-Cell Gene-Expression Analysis

Bioanalysis, 2010
Efficient 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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Single-Cell Gene-Expression Analysis by Quantitative RT-PCR

2008
The problem of development has long been one of the key issues in biology. With stem-cell therapies on the horizon, the “reverse engineering” of developmental programs promises to become a task of great practical significance. We now understand the general schemes by which transcriptional networks regulate cellular differentiation and morphogenesis ...
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Cancer epigenetics in clinical practice

Ca-A Cancer Journal for Clinicians, 2023
Veronica Davalos, Manel Esteller
exaly  

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