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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...
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 12, 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.

Belisario A Arango1, Celine L Rivera, Stefan Glück

  • 1University of Miami/Sylvester Comprehensive Cancer Center Miami, FL, USA.

American Journal of Translational Research
|April 11, 2013
PubMed
Summary
This summary is machine-generated.

Molecular tests like Oncotype DX and MammaPrint aid breast cancer diagnosis and treatment. While promising for personalized medicine, their clinical application and full benefits require further prospective evaluation.

Keywords:
Early breast cancergene profilingpredictive and prognostic power

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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Last Updated: May 12, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
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Published on: February 21, 2014

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Area of Science:

  • Oncology
  • Genomics
  • Personalized Medicine

Background:

  • Molecular research has significantly advanced breast cancer diagnostics and therapeutics.
  • Gene expression tests (e.g., Oncotype DX, MammaPrint) have become crucial predictive and prognostic tools.

Purpose of the Study:

  • To discuss the limitations of current molecular tests in breast cancer.
  • To explore the role of molecular profiling in personalized medicine and its potential impact on treatment outcomes and healthcare costs.

Main Methods:

  • Review and discussion of existing molecular diagnostic and prognostic tests for breast cancer.
  • Analysis of the clinical application, benefits, and limitations of gene expression profiling.

Main Results:

  • Molecular tests stratify recurrence risk, informing decisions on chemotherapy, HER2-targeted therapy, and endocrine therapy.
  • The true clinical benefit and prospective evaluation of these tests are still under investigation.

Conclusions:

  • Molecular profiling holds promise for personalized medicine, potentially improving patient outcomes.
  • These tests may spare certain patients from unnecessary cytotoxic treatments, reducing healthcare system costs.