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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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The Nucleolus02:55

The Nucleolus

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The nucleolus is the most prominent substructure of the nucleus. When it was first discovered, it was considered to be an isolated organelle that forms fibrils and granules. In 1931, the relationship between the nucleolus and chromosomes was first described by Heitz. He observed that the appearance and size of nucleolus varies depending on the stage of the cell cycle. He also noticed constricted regions on different chromosomes clustered together at definite cell cycle stages. These regions,...
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Related Experiment Video

Updated: Aug 23, 2025

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
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A genomic and transcriptomic study toward breast cancer.

Shan Wang1,2, Pei Shang1, Guangyu Yao1

  • 1Department of Breast Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Frontiers in Genetics
|October 31, 2022
PubMed
Summary

This study reveals triple-negative breast cancer's complexity and identifies prognostic genes. It also highlights subtype-specific molecular pathways, offering new therapeutic strategies for breast carcinoma.

Keywords:
breast cancermicroarrayprotein–protein interactionsignal pathwaysurvival

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Area of Science:

  • Genomics and Transcriptomics
  • Computational Biology
  • Oncology

Background:

  • Breast carcinoma is the most common cancer globally and a leading cause of cancer mortality in women.
  • Understanding genomic and transcriptomic differences across breast cancer subtypes is crucial for personalized medicine.

Purpose of the Study:

  • To elucidate breast cancer at genomic and transcriptomic levels across different subtypes.
  • To identify potential therapeutic targets and improve treatment outcomes through precision medicine.

Main Methods:

  • Re-analysis of Gene Expression Omnibus dataset GSE45827 using GEO2R.
  • Protein-protein interaction network analysis with STRING and Cytoscape.
  • Survival analysis using Kaplan-Meier plotter and prediction of microRNA/transcription factor targets with Enrichr.

Main Results:

  • Triple-negative breast cancer exhibits the most complex genomic and transcriptomic profiles.
  • Luminal A subtype displays distinct molecular pathways compared to other subtypes.
  • Identified 16 hub genes for good prognosis in triple-negative breast cancer and specific gene-survival correlations in other subtypes.

Conclusions:

  • Computational analysis provides a holistic view of breast cancer molecular mechanisms across subtypes.
  • Novel prognosis-related genes and potential therapeutic strategies for breast cancer were identified.