Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer-Critical Genes II: Tumor Suppressor Genes

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A privacy-preserving cloud storage framework with hybrid encryption, homomorphic keyword search, and blockchain-based integrity verification.

Scientific reports·2026

Same author

Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT(N) protein biomarkers.

Frontiers in neuroscience·2024

Same author

Novel approach on the evaluation of enzyme-aided alkaline extraction of polysaccharide from Hordeum vulgare husk and molecular insight on the multifunctional scaffold.

International journal of biological macromolecules·2024

Same author

An ensemble of bioinformatics and machine learning approaches to identify shared breast cancer biomarkers among diverse populations.

Computational biology and chemistry·2023

Same author

A Comprehensive Mini-Review on Lignin-Based Nanomaterials for Food Applications: Systemic Advancement and Future Trends.

Molecules (Basel, Switzerland)·2023

Same author

An effective universal protocol for the extraction of fructooligosaccharide from the different agricultural byproducts.

MethodsX·2023

Search research articles

Related Experiment Video

Updated: Jun 23, 2026

Experimental Generation of Carcinoma-Associated Fibroblasts CAFs from Human Mammary Fibroblasts

Experimental Generation of Carcinoma-Associated Fibroblasts CAFs from Human Mammary Fibroblasts

Published on: October 25, 2011

BRCAFem: A database for breast cancer research.

Ghazala Sultan¹, Swaleha Zubair¹

¹Department of Computer Science, Faculty of Science, Aligarh Muslim University, Aligarh-202002, India.

|August 12, 2024

Summary

Researchers created BRCAFem, an integrated breast cancer database. It centralizes genes, drugs, and datasets, aiding research and treatment for female breast cancer.

Area of Science:

Oncology
Bioinformatics
Genomics

Background:

Breast cancer research generates vast, fragmented data across diverse sources.
Challenges exist in consolidating specific datasets, genes, and information for researchers and clinicians.
A unified resource is needed to streamline breast cancer data accessibility.

Purpose of the Study:

To develop BRCAFem, an integrated database for breast cancer research.
To consolidate key breast cancer information, including genes, drugs, and datasets.
To provide a centralized platform for accessing breast cancer statistics, risk factors, and treatment options.

Main Methods:

Development of an integrated database named BRCAFem.
Inclusion of 1220 breast cancer-associated genes.

Keywords:

breast cancer database drugs genes imaging data sequencing datasets

More Related Videos

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

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

Published on: May 17, 2019

Isolation and Functional Assessment of Human Breast Cancer Stem Cells from Cell and Tissue Samples

Isolation and Functional Assessment of Human Breast Cancer Stem Cells from Cell and Tissue Samples

Published on: October 2, 2020

Related Experiment Videos

Last Updated: Jun 23, 2026

Experimental Generation of Carcinoma-Associated Fibroblasts CAFs from Human Mammary Fibroblasts

Experimental Generation of Carcinoma-Associated Fibroblasts CAFs from Human Mammary Fibroblasts

Published on: October 25, 2011

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

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

Published on: May 17, 2019

Isolation and Functional Assessment of Human Breast Cancer Stem Cells from Cell and Tissue Samples

Isolation and Functional Assessment of Human Breast Cancer Stem Cells from Cell and Tissue Samples

Published on: October 2, 2020

Compilation of 82 FDA-approved drugs for breast cancer prevention and treatment.

Integration of 33 sequencing and imaging datasets relevant to breast cancer.

Main Results:

BRCAFem integrates 1220 breast cancer genes, 82 FDA-approved drugs, and 33 datasets.
The database offers comprehensive information on breast cancer, including statistics and risk factors.
Includes resources on treatment options and research updates through blogs.

Conclusions:

BRCAFem serves as a valuable, integrated resource for breast cancer research.
The database facilitates easier access to critical data for researchers and practitioners.
BRCAFem supports advancements in understanding and treating female breast cancer.