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Related Concept Videos

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...
Reporter Genes02:11

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
Commonly used reporter...
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...
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...
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: Jul 6, 2026

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
09:13

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Published on: January 13, 2016

[Gene expression profiling in colon cancer].

Alain Barrier1, Pierre-Yves Boelle, Antoinette Lemoine

  • 1Service de chirurgie digestive, hôpital Tenon, Paris.

Bulletin De L'Academie Nationale De Medecine
|April 12, 2008
PubMed
Summary
This summary is machine-generated.

Gene expression profiling can predict colon cancer prognosis in patients without lymph node involvement. This approach may help select patients for chemotherapy, improving treatment outcomes.

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

Published on: February 25, 2017

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Accurate prognostic factors are crucial for selecting stage II colon cancer patients for adjuvant chemotherapy.
  • Current methods may not sufficiently differentiate between patients who will relapse and those who will remain disease-free.

Purpose of the Study:

  • To evaluate the utility of gene expression profiling for identifying prognostic markers in stage II colon cancer.
  • To determine if tumor gene expression can predict recurrence risk in non-metastatic colon cancer.

Main Methods:

  • Fifty stage II colon cancer patients (25 relapsed, 25 disease-free) were analyzed.
  • Messenger RNA (mRNA) was extracted from tumor biopsies and analyzed using Affymetrix GeneChip HGU133A.
  • A robust validation strategy involved 1,600 random splits into training and validation sets, using linear discriminant analysis to identify differentially expressed genes.

Main Results:

  • The predictive models achieved an average accuracy of 76%, sensitivity of 85%, and specificity of 68%.
  • A total of 6,124 genes were identified across 1,600 predictive combinations, with 55 genes appearing in over 100 combinations.
  • This highlights the potential of gene expression profiling but also indicates variability in gene signatures.

Conclusions:

  • Tumor gene expression profiling shows promise for predicting the prognosis of non-metastatic colon cancer.
  • This approach could aid in personalized treatment decisions, particularly for adjuvant chemotherapy selection.
  • Further research is warranted to refine predictive models and understand the variability in gene signatures.