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

Cystic Fibrosis: Pathogenesis01:23

Cystic Fibrosis: Pathogenesis

Cystic fibrosis (CF), an autosomal recessive disorder, significantly affects the function of exocrine glands. This genetically inherited disease is characterized by the production of thick and sticky mucus, which can severely affect various organs and systems in the body.
CF is primarily caused by a genetic mutation in a chromosome 7 gene coding for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. The most common gene mutation leading to CF is the ΔF508 mutation, but...
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...
Cystic Fibrosis: Management01:24

Cystic Fibrosis: Management

Cystic fibrosis (CF) is an autosomal recessive disorder that predominantly affects individuals of Northern European descent, occurring at a rate of 1 in 3500. It is caused by a genetic mutation in a gene on chromosome 7, most commonly the ΔF508 mutation, that codes for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. This results in thicker mucus secretions and obstruction pathologies in multiple organs, including the lungs and sinuses.
Sinus disease and chronic sinusitis...

You might also read

Related Articles

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

Sort by
Same author

<i>CFTR</i> gene delivery to human airway epithelia using parainfluenza virus 5 amplifying virus-like particles.

Molecular therapy. Nucleic acids·2026
Same author

Nucleic acid-based therapeutic strategies for modulator-refractory cystic fibrosis-causing variants.

Human molecular genetics·2026
Same author

Optimized AAV capsids robustly transduce airway epithelial cells.

bioRxiv : the preprint server for biology·2026
Same author

Development of a secretable frataxin for enhanced efficacy in treating Friedreich's Ataxia.

Molecular therapy. Advances·2026
Same author

Lentiviral-mediated gene complementation to rescue pathogenic ABCA3 variants.

American journal of respiratory cell and molecular biology·2026
Same author

MRI findings for differentiating benign and malignant soft tissue tumors: a narrative review- Part 1: diagnostic performance.

Skeletal radiology·2026
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Jun 2, 2026

Cystic Fibrosis Aggregate Biofilm Model to Study Infection-relevant Gene Expression
08:58

Cystic Fibrosis Aggregate Biofilm Model to Study Infection-relevant Gene Expression

Published on: April 18, 2025

Microarray mRNA expression profiling to study cystic fibrosis.

Shyam Ramachandran1, Luka A Clarke, Todd E Scheetz

  • 1Interdisciplinary Program in Genetics, Department of Pediatrics, University of Iowa, Iowa City, IA, USA. shyam-ramachandran@uiowa.edu

Methods in Molecular Biology (Clifton, N.J.)
|May 7, 2011
PubMed
Summary
This summary is machine-generated.

Studying the cystic fibrosis (CF) transcriptome using microarray analysis can reveal gene expression patterns. This approach helps understand CFTR mutation effects and monitor treatment effectiveness.

More Related Videos

Generation of Human Nasal Epithelial Cell Spheroids for Individualized Cystic Fibrosis Transmembrane Conductance Regulator Study
08:00

Generation of Human Nasal Epithelial Cell Spheroids for Individualized Cystic Fibrosis Transmembrane Conductance Regulator Study

Published on: April 11, 2018

Related Experiment Videos

Last Updated: Jun 2, 2026

Cystic Fibrosis Aggregate Biofilm Model to Study Infection-relevant Gene Expression
08:58

Cystic Fibrosis Aggregate Biofilm Model to Study Infection-relevant Gene Expression

Published on: April 18, 2025

Generation of Human Nasal Epithelial Cell Spheroids for Individualized Cystic Fibrosis Transmembrane Conductance Regulator Study
08:00

Generation of Human Nasal Epithelial Cell Spheroids for Individualized Cystic Fibrosis Transmembrane Conductance Regulator Study

Published on: April 11, 2018

Area of Science:

  • Molecular Biology
  • Genomics
  • Medical Genetics

Background:

  • Cystic Fibrosis (CF) is linked to CFTR mutations.
  • Understanding CF phenotypes requires studying the transcriptome in affected cells.

Purpose of the Study:

  • To investigate the relationship between CFTR mutations and CF phenotypes.
  • To establish a "CF signature" for monitoring treatment efficacy.

Main Methods:

  • Microarray expression profiling for global gene expression analysis.
  • Detailed protocols for tissue/cell collection, preservation, and RNA preparation.
  • Novel strategies for experimental design and data analysis.

Main Results:

  • Microarray analysis provides detailed global gene expression data.
  • The approach can differentiate between genetic and environmental factors in CF.
  • Potential to identify a "CF signature" of altered gene expression.

Conclusions:

  • Transcriptome analysis is crucial for understanding CF pathogenesis.
  • Microarray profiling offers insights into CF phenotypes and disease progression.
  • A defined "CF signature" can aid in treatment monitoring.