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Related Concept Videos

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: May 29, 2026

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

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Single-cell gene-expression profiling and its potential diagnostic applications.

Anders Ståhlberg1, Mikael Kubista, Pierre Aman

  • 1Sahlgrenska Cancer Center, Department of Pathology, Sahlgrenska Academy at University of Gothenburg, Box 425, 40530 Gothenburg, Sweden. anders.stahlberg@neuro.gu.se

Expert Review of Molecular Diagnostics
|September 10, 2011
PubMed
Summary
This summary is machine-generated.

Single-cell gene-expression profiling offers precise analysis of individual cells, overcoming limitations of mixed samples. This technique enhances molecular medicine and diagnostics by revealing cellular heterogeneity.

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Last Updated: May 29, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

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

Published on: October 25, 2018

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards
10:50

Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards

Published on: February 25, 2017

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
10:23

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

Published on: January 19, 2017

Area of Science:

  • Molecular Biology
  • Genomics
  • Medical Diagnostics

Background:

  • Gene-expression profiling is valuable but limited by cellular heterogeneity in mixed samples.
  • Unknown cell proportions in samples confound traditional expression analysis.
  • Single-cell analysis presents a solution to overcome these limitations.

Purpose of the Study:

  • To review practical aspects of single-cell gene-expression profiling.
  • To explore the potential of single-cell analysis in diagnostics.
  • To highlight advancements in measuring gene expression at the single-cell level.

Main Methods:

  • Utilizing reverse transcription quantitative real-time PCR (RT-qPCR) for gene expression measurement.
  • Focusing on techniques applicable to individual cells.
  • Reviewing methods for precise and accurate gene expression quantification.

Main Results:

  • Single-cell gene-expression profiling can be performed with high precision and accuracy.
  • This method effectively identifies distinct cell types.
  • It also reveals heterogeneity within seemingly identical cell populations.

Conclusions:

  • Single-cell gene-expression profiling opens new avenues in molecular medicine.
  • The technique holds significant potential for diagnostic applications.
  • Advancements in single-cell analysis are crucial for understanding complex biological systems.