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

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