Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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...

You might also read

Related Articles

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

Sort by
Same author

Dynamic Profiling of Circulating Tumor Cells and MYC/PTEN Alterations in Prostate Cancer Patients Undergoing Radical Prostatectomy in Amazon Population.

Molecular carcinogenesis·2026
Same author

Analysis of the Matrix Metalloproteinases Family Profile in Gastric Cancer Suggests Key Matrix Metalloproteinases for Tumor Development and Their Clinical Impact.

Molecular carcinogenesis·2026
Same author

WRAP53 is Downregulated in Acute Myeloid Leukemia Patients and Positively Correlates With HTERT Expression.

Cancer reports (Hoboken, N.J.)·2026
Same author

Biosynthesis of Silver Nanoparticles Using Black Pepper (Piper nigrum) Seed Extract and Evaluation of Their Cytotoxicity.

Chemistry & biodiversity·2026
Same author

Stability and Perpetuation of Human T-Lymphotropic Virus 1 (HTLV-1) in Intrafamilial Transmissions of Infection in an Endemic Region of the Brazilian Amazon: A Pilot Study.

Journal of tropical medicine·2025
Same author

Pharmacogenomics Applied to Acute Leukemias: Identifying Clinically Relevant Genetic Variants.

Biomedicines·2025

Related Experiment Video

Updated: Jun 16, 2026

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.0K

EndoGeneAnalyzer: A tool for selection and validation of reference genes.

Eliel Barbosa Teixeira1, André Salim Khayat1, Paulo Pimentel Assumpção1

  • 1Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil.

Plos One
|April 3, 2024
PubMed
Summary
This summary is machine-generated.

Selecting appropriate reference genes is crucial for accurate gene expression analysis. EndoGeneAnalyzer is an open-source tool that aids researchers in identifying the most stable reference genes for reverse transcription-quantitative polymerase chain reaction (RT-qPCR) studies.

More Related Videos

Maintaining Biological Cultures and Measuring Gene Expression in Aphis nerii: A Non-model System for Plant-insect Interactions
07:20

Maintaining Biological Cultures and Measuring Gene Expression in Aphis nerii: A Non-model System for Plant-insect Interactions

Published on: August 31, 2018

7.6K
Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
09:26

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR

Published on: January 22, 2014

15.4K

Related Experiment Videos

Last Updated: Jun 16, 2026

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.0K
Maintaining Biological Cultures and Measuring Gene Expression in Aphis nerii: A Non-model System for Plant-insect Interactions
07:20

Maintaining Biological Cultures and Measuring Gene Expression in Aphis nerii: A Non-model System for Plant-insect Interactions

Published on: August 31, 2018

7.6K
Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
09:26

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR

Published on: January 22, 2014

15.4K

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Accurate gene expression analysis relies heavily on the selection of stable reference genes.
  • Variability across different tissues and specimens necessitates robust methods for reference gene validation.
  • Existing methods may not adequately address the complexities of identifying optimal reference genes for diverse research conditions.

Purpose of the Study:

  • To introduce EndoGeneAnalyzer, an open-source web tool designed to assist in reference gene selection for RT-qPCR studies.
  • To provide a user-friendly platform for statistical and stability analyses of potential reference genes.
  • To facilitate the identification of the most suitable reference gene or gene set for specific experimental conditions.

Main Methods:

  • Development of an open-source web-based application, EndoGeneAnalyzer.
  • Implementation of statistical and stability analyses for evaluating reference gene performance.
  • Inclusion of an interactive interface for data exploration and group comparison.
  • Functionality for outlier detection and removal.

Main Results:

  • EndoGeneAnalyzer enables efficient exploration of RT-qPCR datasets.
  • The tool performs statistical and stability analyses to identify optimal reference genes.
  • It offers a graphical interface for visually informative differential analysis between experimental groups.
  • Researchers can identify and remove outliers to improve data quality.

Conclusions:

  • EndoGeneAnalyzer is a valuable resource for researchers conducting RT-qPCR studies.
  • The tool simplifies the process of selecting appropriate reference genes, enhancing the accuracy of gene expression analysis.
  • Its interactive and graphical features support robust data interpretation and decision-making.