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Related Concept Videos

Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
Asthma-I: Introduction01:29

Asthma-I: Introduction

Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
Asthma I: Introduction01:28

Asthma I: Introduction

Asthma is a chronic inflammatory disorder of the airways characterized by variable airflow obstruction and heightened bronchial responsiveness to a wide range of triggers. The underlying inflammation leads to airway swelling, mucus hypersecretion, and smooth muscle constriction, all of which narrow the airway lumen and impede airflow. Clinically, asthma presents with recurrent episodes of wheezing, shortness of breath, chest tightness, and coughing, symptoms that typically vary in intensity and...

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Related Experiment Video

Updated: Jun 7, 2026

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

Assessing the quality of annotations in asthma gene expression experiments.

Ronilda Lacson1, Michael Mbagwu, Hisham Yousif

  • 1Decision Systems Group, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA. rlacson@dsg.harvard.edu

BMC Bioinformatics
|November 4, 2010
PubMed
Summary

Gene Expression Omnibus (GEO) asthma data annotations show poor variable coverage and inconsistent terminology, hindering future analysis. However, the association between annotated markers and clinical variables was adequate.

Related Experiment Videos

Last Updated: Jun 7, 2026

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

Area of Science:

  • Bioinformatics
  • Genomics
  • Clinical Informatics

Background:

  • The Gene Expression Omnibus (GEO) database has experienced substantial data growth.
  • Accurate annotation of clinical data and experimental conditions is crucial for the utility of deposited data.
  • This study focuses on evaluating the quality of asthma-related marker annotations within GEO.

Purpose of the Study:

  • To assess the adequacy of documented asthma markers in the Gene Expression Omnibus (GEO) database.
  • To evaluate the coverage, consistency, and association of asthma annotations using objective measures.
  • To identify limitations in current GEO annotation practices for asthma research.

Main Methods:

  • Analysis of annotations from 17 asthma studies within the GEO database.
  • Evaluation using three objective measures: coverage, consistency, and association.
  • Detailed examination of one study to assess annotation consistency, including drug nomenclature.

Main Results:

  • 918 asthma samples and 20,640 annotated markers were analyzed.
  • Only 50% (10,419 markers) had documented values, indicating inadequate coverage.
  • Inconsistent use of drug names (brand vs. generic) was observed within a single study.
  • Annotated markers demonstrated adequate association with relevant clinical variables.

Conclusions:

  • Asthma marker annotations in GEO suffer from insufficient variable coverage.
  • Inconsistent terminology and naming conventions were identified, impacting data uniformity.
  • Despite coverage and consistency issues, the association between asthma markers and clinical data was found to be adequate.