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

DNA Microarrays02:34

DNA Microarrays

21.3K
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...
21.3K
RNA-seq03:21

RNA-seq

12.2K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.2K
Ribosome Profiling02:24

Ribosome Profiling

4.2K
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...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Sex-Stratified Correlates of Pulmonary Function in Mexican Children and Adolescents (6-17 Years) with Asthma: An Exploratory Analysis of HDL Cholesterol, BMI, and Pubertal Stage.

Nutrients·2026
Same author

Regulatory Roles of Long Non-Coding RNAs in Methotrexate Pharmacology: Mechanistic and Translational Insights.

Pharmaceutical research·2026
Same author

De novo transcriptome assembly and annotation of Penaeus monodon hemocytes under WSSV infection and STAT knockdown.

Scientific data·2026
Same author

Severe Asthma Patients' Characteristics in Mexico Versus International Severe Asthma Registry (ISAR) Global.

Current allergy and asthma reports·2026
Same author

The Role of the Apelin Receptor in the Pathophysiology of Pulmonary Arterial Hypertension.

Cells·2026
Same author

Extensive hidden prophage diversity in <i>Enterobacter</i> species reveals host specificity and local distribution.

Microbiology (Reading, England)·2026

Related Experiment Video

Updated: Feb 17, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.8K

A novel approach for human whole transcriptome analysis based on absolute gene expression of microarray data.

Shirley Bikel1, Leonor Jacobo-Albavera2, Fausto Sánchez-Muñoz3

  • 1Departamento de Microbiología Molecular, Universidad Nacional Autónoma de México, Instituto de Biotecnología, Cuernavaca, Morelos, México.

Peerj
|December 13, 2017
PubMed
Summary

This study introduces a novel method for absolute gene expression analysis using microarrays by leveraging Y chromosome gene fluorescence as a background threshold. This approach enables accurate transcriptome profiling of public microarray data for disease research without additional reference samples.

Keywords:
Absolute gene expressionHumanLeukocyteMicroarrayPersonalized medicineTranscriptomeTranscriptomics

More Related Videos

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.1K
A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
09:29

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

7.9K

Related Experiment Videos

Last Updated: Feb 17, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.8K
A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.1K
A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
09:29

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

7.9K

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Microarrays are widely used for gene expression analysis in clinical settings, despite the rise of RNA sequencing.
  • Vast repositories of human microarray data offer valuable resources for biomedical research and personalized medicine.
  • Accurate absolute gene expression analysis is crucial for transcriptome profiling but challenged by background fluorescence in microarrays.

Purpose of the Study:

  • To develop a novel method for absolute gene expression analysis in microarrays.
  • To establish an absolute gene expression threshold using Y chromosome gene fluorescence.
  • To enable transcriptome profiling of existing microarray data without reference samples.

Main Methods:

  • Utilized Y chromosome gene fluorescence from female samples as a background reference.
  • Calculated an absolute gene expression threshold using specific Y chromosome genes (DDX3Y, TXLNG2P, EIF1AY).
  • Validated the threshold by comparing gene expression with real-time quantitative polymerase chain reaction (RT-qPCR).

Main Results:

  • Successfully established an absolute gene expression threshold using Y chromosome genes.
  • Confirmed expression levels of selected genes using RT-qPCR.
  • Identified enriched KEGG pathways related to leukocyte and liver cell functions in top-expressed genes.

Conclusions:

  • The proposed method provides a reliable threshold for absolute gene expression analysis in microarrays.
  • This approach facilitates the analysis of thousands of public microarray datasets for disease research.
  • Enables transcriptome profiling without the need for additional reference samples or experiments.