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

Proteomics01:33

Proteomics

10.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
10.2K
Hypothalamic-Pituitary Axis01:37

Hypothalamic-Pituitary Axis

71.3K
The response to stress—be it physical or psychological, acute or chronic—involves activation of the Hypothalamic-Pituitary-Adrenal (HPA) axis. The HPA axis is part of the neuroendocrine system because it involves both neuronal and hormonal communication. Its function is to regulate homeostatic systems—metabolic, cardiovascular, and immune—providing the necessary means to respond to a stressor.
71.3K
Global Regulatory Systems01:28

Global Regulatory Systems

938
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
938
Hormones of the Adrenal Glands01:31

Hormones of the Adrenal Glands

7.0K
Adrenal hormones play a pivotal role in maintaining the body's electrolyte balance and orchestrating responses to stress, showcasing the intricate functions of the adrenal cortex and medulla.
The adrenal cortex, a powerhouse of hormone synthesis, generates over two dozen corticosteroid hormones. The zona glomerulosa produces mineralocorticoids, exemplified by aldosterone, influencing the electrolyte composition of body fluids. The synthesis of glucocorticoids such as cortisol and...
7.0K

You might also read

Related Articles

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

Sort by
Same author

Hepatoprotective Potential of Curcumin in the Prevention of Liver Dysfunction in a Porcine Model.

Nutrients·2026
Same author

Overnight Corticosterone and Gene Expression in Mouse Hippocampus: Time Course during Resting Period.

International journal of molecular sciences·2023
Same author

Dissection of Mouse Hippocampus with Its Dorsal, Intermediate and Ventral Subdivisions Combined with Molecular Validation.

Brain sciences·2022
See all related articles

Related Experiment Video

Updated: Apr 19, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
10:31

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Published on: May 2, 2025

854

Brain Proteomic Responses to Glucocorticoids and Their Relationship With Transcriptome: A Systematic Meta-Analysis.

Grzegorz R Juszczak1

  • 1Department of Animal Behavior and Welfare, Institute of Genetics and Animal Biotechnology, Polish Academy of Sciences, Jastrzebiec, Poland.

FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology
|April 17, 2026
PubMed
Summary

This study integrated proteomic and transcriptomic data on glucocorticoid responses across species. Key consistent findings include Aldoc and Atp5f1b proteins, highlighting gaps in current proteomic data and providing an updated, unified dataset.

Keywords:
brainglucocorticoidsproteometranscriptome

More Related Videos

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
09:52

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

1.5K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.7K

Related Experiment Videos

Last Updated: Apr 19, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
10:31

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Published on: May 2, 2025

854
A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
09:52

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

1.5K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.7K

Area of Science:

  • Neurobiology
  • Molecular Biology
  • Proteomics

Background:

  • Glucocorticoid effects on the brain are extensively studied at the proteomic level.
  • However, integrated analyses comparing proteomic and transcriptomic responses are lacking.
  • Existing proteomic data is hindered by inconsistent nomenclature and identifiers.

Purpose of the Study:

  • To identify consistent protein expression changes in response to glucocorticoids across mouse, rat, and human datasets.
  • To compare these proteomic findings with transcriptomic responses.
  • To create an integrated, standardized dataset for future research.

Main Methods:

  • Systematic review and meta-analysis of existing proteomic and transcriptomic studies.
  • Standardization of protein nomenclature and identifiers.
  • Comparative analysis of protein and mRNA expression changes.

Main Results:

  • ATP synthase F1 subunit beta (Atp5f1b) and aldolase, fructose-bisphosphate C (Aldoc) were the most consistently detected proteins.
  • Consistent proteomic and transcriptomic findings included Aldoc, Plin4, Aqp4, Endod1, Glul, Anln, Aldh1l1, Parp1, Trf, Fermt2, Tmem63a, and Trim2.
  • Significant gaps and limitations in current proteomic data were identified.

Conclusions:

  • This study provides a comprehensive, integrated dataset of glucocorticoid-responsive proteins and transcripts.
  • The findings highlight specific proteins (e.g., Aldoc) and pathways affected by glucocorticoids.
  • Addressing data inconsistencies and gaps is crucial for advancing brain glucocorticoid research.