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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.
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Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
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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: Jun 21, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
16:24

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells

Published on: February 21, 2014

Gene expression profiling in breast cancer.

Selim M Nasser1

  • 1Department of Pathology, Clemenceau Medical Center, Beirut, Lebanon. selim.nasser@lau.edu.lb

Le Journal Medical Libanais. the Lebanese Medical Journal
|July 24, 2009
PubMed
Summary
This summary is machine-generated.

Gene expression profiling offers new breast cancer markers and classifications, but accuracy concerns necessitate further validation before clinical use.

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Last Updated: Jun 21, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
16:24

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells

Published on: February 21, 2014

Area of Science:

  • Oncology
  • Genomics
  • Biomarker Discovery

Background:

  • Traditional clinicopathologic parameters inadequately capture breast cancer heterogeneity.
  • Gene expression profiling (GEP) emerges as a tool to address this limitation.
  • GEP aids in classifying breast cancer and identifying prognostic/predictive markers.

Purpose of the Study:

  • To evaluate the potential of gene expression profiling in breast cancer management.
  • To discuss the challenges and limitations of implementing GEP tests in clinical settings.
  • To highlight the need for further validation of GEP assays.

Main Methods:

  • Analysis of gene expression patterns in breast cancer tissues.
  • Development and commercialization of prognostic and predictive assays based on GEP.
  • Review of current literature on GEP applications in oncology.

Main Results:

  • GEP has led to novel classifications of breast cancer.
  • New prognostic and predictive tests are being developed.
  • Clinical adoption of GEP tests faces significant challenges.

Conclusions:

  • GEP shows promise for improving breast cancer patient management.
  • The accuracy of GEP technologies is often overestimated.
  • Rigorous validation and clinical trials are essential before routine integration into practice.