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Related Concept Videos

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...
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...
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...
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...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
What is Gene Expression?01:42

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...

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Related Experiment Video

Updated: May 14, 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

The added value of single-cell gene expression profiling.

Anders Ståhlberg1, Vendula Rusnakova, Mikael Kubista

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

Briefings in Functional Genomics
|February 9, 2013
PubMed
Summary
This summary is machine-generated.

Single-cell gene expression profiling reveals cellular heterogeneity and distinct cell responses. This approach enhances understanding of complex tissues by analyzing data at the individual cell level, offering deeper biological insights than population-level studies.

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Last Updated: May 14, 2026

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

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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

Profiling Individual Human Embryonic Stem Cells by Quantitative RT-PCR
09:03

Profiling Individual Human Embryonic Stem Cells by Quantitative RT-PCR

Published on: May 29, 2014

Area of Science:

  • Molecular Biology
  • Genomics
  • Cell Biology

Background:

  • Cells exhibit complex responses to stimuli, necessitating analysis at the individual level for understanding tissues and organs.
  • Cellular heterogeneity and responses to stimuli are critical for studying complex biological systems.

Purpose of the Study:

  • To review the potential of single-cell gene expression profiling.
  • To focus on data analysis and biological interpretation of single-cell data.
  • To highlight the added value of single-cell analysis compared to cell population analysis.

Main Methods:

  • Review of single-cell gene expression profiling techniques.
  • Comparative analysis of single-cell versus cell population data.
  • Discussion of data normalization and missing data handling specific to single-cell data.

Main Results:

  • Single-cell analysis provides a more granular view of biological systems compared to population-level analysis.
  • Specific data analysis methods, including normalization and missing data imputation, are crucial for single-cell gene expression data.
  • Identification and characterization of cell subpopulations are significantly improved with single-cell approaches.

Conclusions:

  • Single-cell gene expression profiling offers unparalleled resolution for studying cellular heterogeneity and responses.
  • Advanced data analysis strategies are essential for unlocking the full potential of single-cell data.
  • This methodology is key to advancing our understanding of complex biological tissues and organs.