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Gene-expression analysis at the single-cell level
Trends in Pharmacological Sciences, 2000The manner in which a cell responds to and influences its environment is ultimately determined by the genes that it expresses. To fully understand and manipulate cellular function, identification of these expressed genes is essential. Techniques such as RT-PCR enable examination of gene expression at the tissue level.
P J Richardson, A K Dixon, R D Pinnock
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Challenges of single-cell diagnostics: analysis of gene expression
Trends in Molecular Medicine, 2002Analysis of single-cell gene expression promises a more precise understanding of human disease pathogenesis and important diagnostic applications. Here, we review the rationale for the study of gene expression at the single-cell level, practical methods to isolate homogeneous or single-cell samples, and current approaches to the analysis of single-cell
Randy, Todd, David H, Margolin
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Analysis of gene expression in single cells
Current Opinion in Biotechnology, 1999A cell's structural and functional characteristics are dependent on the specific complement of genes it expresses. The ability to study and compare gene usage at the cellular level will therefore provide valuable insights into cell physiology. Such analyses are complicated by problems associated with sample collection, sample size and the limited ...
T C, Freeman, K, Lee, P J, Richardson
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Quantitative analysis of gene expression in a single cell by qPCR
Nature Methods, 2009We 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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Automation of Gene Expression Profile Analysis in Single Cell Data
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020We designed and implemented an automated system, named Pierse for pattern recognition of single cell transcriptomics (SCT) data. The Pierse system takes sparse matrices and corresponding metadata as input to generate SCDC profiles (SCT gene expression profiles characteristic of types or subtypes of cells).
Yihan Zhang 0003 +2 more
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Gene Expression Analysis of T-Cells by Single-Cell RNA-Seq
2021During the last decade, the rapid progress in the development of next-generation sequencing (NGS) technologies has provided relevant insights into complex biological systems, ranging from cancer genomics to microbiology. Among NGS technologies, single-cell RNA sequencing is currently used to decipher the complex heterogeneity of several biological ...
Lo Tartaro D. +4 more
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Single-Cell Allele-Specific Gene Expression Analysis
2019Allele-specific expression is traditionally studied by bulk RNA sequencing, which measures average gene expression across cells. Single-cell RNA sequencing (scRNA-seq) allows the comparison of expression distribution between the two alleles of a diploid organism, and characterization of allele-specific bursting.
Meichen, Dong, Yuchao, Jiang
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Single‐Cell Analysis of Gene Expression by Fluorescence Microscopy
2007Gene regulation by two-component systems has traditionally been studied using assays that involve averages over large numbers of cells. Single-cell measurements of transcription offer a complementary approach that provides the distribution of gene expression among the population.
Tim, Miyashiro, Mark, Goulian
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Single-Cell and Regional Gene Expression Analysis in Alzheimer’s Disease
Cellular and Molecular Neurobiology, 2012The clinical manifestations of Alzheimer's disease (AD) are secondary to the substantial loss of cortical neurons. To be effective, neuroprotective strategies will need to target the primary pathogenic mechanisms of AD prior to cell loss. The differences between neurons are largely determined by their specific repertoire of mRNAs.
Ruby, Kwong +2 more
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