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Updated: Jan 1, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

An Integrated Preprocessing Approach for Exploring Single-Cell Gene Expression in Rare Cells.

Junyi Shang¹, David Welch², Manuela Buonanno²

¹Department of Mechanical Engineering, Columbia University, New York, New York, 10027, USA.

Scientific Reports

|December 26, 2019

Summary

This summary is machine-generated.

This study introduces a novel method for tracking rare cells and analyzing their gene expression. The approach enables precise single-cell analysis for improved disease diagnostics and cancer treatment research.

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Last Updated: Jan 1, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Transcriptome Analysis of Single Cells

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Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations

Published on: January 19, 2017

Area of Science:

Single-cell biology
Molecular diagnostics
Biotechnology

Background:

Understanding gene expression variability in rare cells is crucial for tissue development, disease diagnostics, and cancer therapy.
Current methods face challenges in tracking individual cell identities during analysis.

Purpose of the Study:

To develop and demonstrate an integrated approach for isolating, tracking, and analyzing gene expression in rare cells at the single-cell level.
To overcome limitations in current single-cell analysis techniques.

Main Methods:

A microfluidic device for single-cell picking, lysing, and reverse transcription.
Photocleavage bead-based synthesis of stable complementary DNA (cDNA).
Digital polymerase chain reaction (dPCR) for gene expression analysis.

Main Results:

The approach successfully isolated, tracked, and analyzed gene expression in individual IMR90 human lung fibroblasts.
Expression levels of CDKN1A, GDF15, and PTGS2 genes were measured in control, irradiated, and bystander cells.
Demonstrated accurate tracking of cell treatments and efficient single-cell response analysis.

Conclusions:

The developed method enables precise gene expression analysis of rare cells, facilitating insights into signaling pathways.
This technique supports comparison of gene activation levels within individual cells.
The approach has potential applications in disease diagnostics and cancer treatment research.