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Transcriptome Analysis of Single Cells
Published on: April 25, 2011
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Combined aptamer and transcriptome sequencing of single cells
Cyrille L Delley1, Leqian Liu1, Maen F Sarhan1
1Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, 94158, California, USA.
Scientific Reports
|February 15, 2018
Summary
This study introduces a high-throughput method for simultaneously analyzing single-cell transcriptomes and proteomes using aptamer probes and droplet sequencing. This technique effectively differentiates cell types by examining both gene expression and aptamer binding patterns.
Area of Science:
- Biochemistry
- Molecular Biology
- Genomics
Background:
- Biological systems exhibit heterogeneity, with distinct information encoded in transcriptomes and proteomes.
- Simultaneous characterization of both transcriptomes and proteomes is crucial for a comprehensive understanding of cellular function.
Purpose of the Study:
- To develop and demonstrate a high-throughput method for simultaneous single-cell transcriptome and proteome characterization.
- To leverage aptamer probes and droplet-based sequencing for enhanced cellular analysis.
Main Methods:
- Utilized aptamer probes for protein detection and droplet-based sequencing for gene expression analysis.
- Integrated transcriptomic and proteomic data for cell type differentiation.
- Employed SELEX (Systematic Evolution of Ligands by Exponential Enrichment) for aptamer generation.
Main Results:
- Successfully differentiated distinct cell types based on combined aptamer surface binding and gene expression profiles.
- Demonstrated the capability of aptamers to serve as effective alternatives to antibodies in single-cell protein characterization.
- Achieved high-throughput analysis of single cells.
Conclusions:
- The developed method enables simultaneous, high-throughput characterization of single-cell transcriptomes and proteomes.
- Aptamers offer significant advantages for single-cell protein analysis, including efficient generation and PCR-based detection.
- This approach provides a powerful tool for dissecting cellular heterogeneity.
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