Smart-3SEQ
Smart-3SEQ quantifies gene expression from small and degraded RNA samples to enable transcriptome profiling of FFPE tissues and laser-capture microdissected (LCM) cells, including single cells.
Key Features:
- Enhanced Sensitivity and Accuracy: Quantifies transcript abundance with high precision from limited amounts of total RNA.
- Compatibility with FFPE Tissues: Processes RNA extracted from formalin-fixed paraffin-embedded (FFPE) tissues despite degradation and fixation artifacts.
- Integration with Laser-Capture Microdissection (LCM): Supports analysis of small cell populations or single cells isolated by LCM within their native tissue context.
- FFPE Single-Cell Profiling: Enables generation of distinct biological profiles from FFPE single cells for characterizing cellular phenotypes in complex tissues such as the tumor microenvironment.
- Cost-Effectiveness for Large-Scale Studies: Provides a scalable approach for extensive gene expression profiling experiments using limited or archived samples.
Scientific Applications:
- Gene expression profiling of limited samples: Enables transcriptome analysis of small, degraded, or low-input RNA samples, including clinical and archival material.
- Cellular phenotype discovery: Facilitates identification of novel cellular phenotypes, such as macrophage subtypes within the tumor microenvironment.
- Retrospective studies on archived clinical samples: Allows leveraging FFPE tissue repositories for retrospective genomic investigations.
Methodology:
Quantifies transcript abundance from RNA sequencing (RNA-seq) data derived from small or degraded RNA, including RNA from FFPE tissues and LCM-isolated samples.
Topics
Details
- Programming Languages:
- R
- Added:
- 11/14/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Foley JW, Zhu C, Jolivet P, Zhu SX, Lu P, Meaney MJ, West RB. Gene expression profiling of single cells from archival tissue with laser-capture microdissection and Smart-3SEQ. Genome Research. 2019;29(11):1816-1825. doi:10.1101/gr.234807.118. PMID:31519740. PMCID:PMC6836736.
PMID: 31519740
PMCID: PMC6836736
Funding: - National Cancer Institute of the National Institutes of Health: R01CA183904
Links
Discussion forum
https://groups.google.com/forum/#!forum/smart-3seq