Related Experiment Video

Updated: Feb 24, 2026

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

9.7K

A database of breast oncogenic specific siRNAs

Atul Tyagi1, Manoj Semwal2, Ashok Sharma3

  • 1Biotechnology Division, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O.-CIMAP, Near Kukrail Picnic Spot, Lucknow, 226 015, Uttar Pradesh, India. ks26atul@gmail.com.

Scientific Reports
|August 20, 2017
PubMed

Insights

Researchers created the Breast Oncogenic Specific siRNAs (BOSS) database, a valuable resource for identifying specific small interfering RNAs (siRNAs) to target genes in breast cancer research and drug development.

Area of Science:

  • Biochemistry
  • Bioinformatics
  • Molecular Biology

Background:

  • Breast cancer poses a significant global health challenge, necessitating targeted gene therapies.
  • RNA interference (RNAi) offers a promising avenue for gene silencing in cancer treatment.
  • Identifying specific oncogene targets is crucial for developing effective breast cancer drugs.

Purpose of the Study:

  • To develop a comprehensive database of experimentally validated breast oncogenic siRNAs.
  • To provide a centralized resource for researchers studying siRNA-mediated gene repression in breast cancer.
  • To facilitate the discovery of novel therapeutic strategies for breast cancer.

Main Methods:

  • Compilation of siRNA data from scientific literature and patents.
  • Development of the Breast Oncogenic Specific siRNAs (BOSS) database.
  • Integration of bioinformatics tools, including siRNAMAP and BOSS BLAST.

Main Results:

  • The BOSS database contains 865 entries of validated breast oncogenic siRNAs.
  • Each entry includes detailed information such as siRNA sequence, target gene, cell type, and inhibition efficacy.
  • Linked tools aid in selecting optimal siRNAs and locating them within oncogenes.

Conclusions:

  • The BOSS database serves as a vital resource for breast cancer research and therapeutic development.
  • It supports the identification and design of specific siRNAs for targeting oncogenes.
  • This resource can accelerate the advancement of RNAi-based breast cancer treatments.

More Related Videos

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

7.3K
Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures07:48

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures

Published on: December 26, 2016

11.9K

Related Concept Videos

Cancer-Critical Genes II: Tumor Suppressor Genes01:05

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...
9.9K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.0K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

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...
11.6K