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Single-Cell Gene Expression Profiling

Authors: Jeffrey M, Levsky; Shailesh M, Shenoy; Rossanna C, Pezo; Robert H, Singer;

Single-Cell Gene Expression Profiling

Abstract

A key goal of biology is to relate the expression of specific genes to a particular cellular phenotype. However, current assays for gene expression destroy the structural context. By combining advances in computational fluorescence microscopy with multiplex probe design, we devised technology in which the expression of many genes can be visualized simultaneously inside single cells with high spatial and temporal resolution. Analysis of 11 genes in serum-stimulated cultured cells revealed unique patterns of gene expression within individual cells. Using the nucleus as the substrate for parallel gene analysis, we provide a platform for the fusion of genomics and cell biology: “cellular genomics.”

Related Organizations
Keywords

Cell Nucleus, Time Factors, Transcription, Genetic, Cells, Gene Expression Profiling, Color, Genomics, Adenocarcinoma, Fibroblasts, Sensitivity and Specificity, Gene Expression Regulation, Genes, Microscopy, Fluorescence, Colonic Neoplasms, Odds Ratio, Tumor Cells, Cultured, Humans, RNA, DNA Probes

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
473
Top 1%
Top 0.1%
Top 1%
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