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

TGF - β Signaling Pathway01:16

TGF - β Signaling Pathway

7.7K
The TGF-β signaling pathway regulates cell growth, differentiation, adhesion, motility, and development. TGF-β ligands that induce TGF-β signaling are synthesized in their latent form. Several proteases or cell surface receptors such as integrins act upon the latent form, releasing the active ligand. There are three types of mammalian TGF-βs: (TGF-β1, TGF-β2, and TGF-β3) that bind as homodimers or heterodimers to TGF-β receptors. The TGF-β receptors...
7.7K
Calmodulin-dependent Signaling01:16

Calmodulin-dependent Signaling

5.3K
Calmodulin (CaM) is a calcium-binding protein in eukaryotes that controls various calcium-regulated cellular processes. It has four calcium-binding sites that bind calcium to form the calcium-calmodulin ( Ca2+-CaM) complex. GPCR stimulation increases the calcium levels in the cells that bind to CaM and induces a conformational change.
The Ca2+-CaM complex does not have enzymatic activity by itself. Instead, the complex binds downstream target proteins, including membrane proteins or enzymes,...
5.3K
Nitric Oxide Signaling Pathway01:28

Nitric Oxide Signaling Pathway

5.2K
Nitric oxide (NO), an inorganic gas, acts as a potent second messenger in most animal and plant tissues. NO diffuses out of the cells that produce it and enters the neighboring cells to generate a downstream response. NO synthase (NOS) catalyzes NO production by the deamination of the amino acid arginine. There are three isoforms of NOS. Endothelial cells have endothelial NOS (eNOS), nerve and muscle cells have neuronal NOS (nNOS), and macrophages produce inducible NOS (iNOS) upon exposure...
5.2K
cAMP-dependent Protein Kinase Pathways01:25

cAMP-dependent Protein Kinase Pathways

6.7K
Cyclic Adenosine Monophosphate (cAMP) is an essential second messenger that activates protein kinase A (PKA) and regulates various biological processes. A single epinephrine molecule binds to GPCR and activates several heterotrimeric G proteins, each stimulating multiple adenylyl cyclase, amplifying the signal, and synthesizing large numbers of cAMP molecules. Small changes in cAMP concentration affect PKA activity. The binding of four cAMP molecules induces a conformational change in PKA,...
6.7K
PI3K/mTOR/AKT Signaling Pathway01:22

PI3K/mTOR/AKT Signaling Pathway

4.0K
The mammalian target of rapamycin  (mTOR) is a serine/threonine kinase that regulates growth, proliferation, and cell survival in response to hormones, growth factors, or nutrient availability. This kinase exists in two structurally and functionally distinct forms: mTOR complex 1  (mTORC1) and mTOR complex 2  (mTORC2). The first form (mTORC1) is composed of a rapamycin-sensitive Raptor and proline-rich Akt substrate, PRAS40. In contrast,  mTORC2 consists of a...
4.0K
Synthetic Biology02:55

Synthetic Biology

5.0K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.0K

You might also read

Related Articles

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

Sort by
Same author

Emerging Digital Interventions for ADHD: An Overview of Ongoing Clinical Trials.

Studies in health technology and informatics·2026
Same author

Analysis of the Evolution of Participatory Health Technology in Type 1 Diabetes from the ".com" to LLM Era.

Studies in health technology and informatics·2026
Same author

The Role of the Pulmonary Microenvironment in Driving Transition From Systemic Sclerosis to Systemic Sclerosis-Associated Interstitial Lung Disease.

The Journal of rheumatology·2025
Same author

The Unintended Harm of Artificial Intelligence (AI): Exploring Critical Incidents of AI in Healthcare.

Studies in health technology and informatics·2025
Same author

Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Studies in health technology and informatics·2025
Same author

The Unexpected Harms of Artificial Intelligence in Healthcare: Reflections on Four Real-World Cases.

Studies in health technology and informatics·2025

Related Experiment Video

Updated: Sep 20, 2025

Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology
09:39

Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology

Published on: March 31, 2022

3.4K

Exploring Molecular Mechanisms Within Biomedical Literature.

Nicole Glendinning1, Christopher Hawthorne1, Stephanie Beck1

  • 1Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom.

Studies in Health Technology and Informatics
|June 8, 2022
PubMed
Summary

This study presents an improved text mining method for analyzing gene, protein, and chemical biomarkers from biomedical literature. The updated approach enhances efficiency and accessibility for biomarker discovery using Pubtator Central annotations.

Keywords:
BiomarkersComputational BiologyData Mining

More Related Videos

Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System
09:56

Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System

Published on: December 23, 2022

1.8K
Author Spotlight: Exploring Press Needle Efficacy and Underlying Molecular Pathways
05:26

Author Spotlight: Exploring Press Needle Efficacy and Underlying Molecular Pathways

Published on: April 12, 2024

1.8K

Related Experiment Videos

Last Updated: Sep 20, 2025

Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology
09:39

Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology

Published on: March 31, 2022

3.4K
Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System
09:56

Mechanostimulation of Multicellular Organisms Through a High-Throughput Microfluidic Compression System

Published on: December 23, 2022

1.8K
Author Spotlight: Exploring Press Needle Efficacy and Underlying Molecular Pathways
05:26

Author Spotlight: Exploring Press Needle Efficacy and Underlying Molecular Pathways

Published on: April 12, 2024

1.8K

Area of Science:

  • Biomedical informatics
  • Bioinformatics
  • Text mining

Background:

  • Biomedical literature contains vast amounts of information on biomarkers.
  • Previous text mining methodologies have limitations in scope and efficiency.
  • Advancements in annotation databases like Pubtator Central offer richer data sources.

Purpose of the Study:

  • To present an updated and improved text mining methodology for biomarker analysis.
  • To enhance the efficiency and reduce the resource requirements of biomarker analysis.
  • To expand the scope of analysis to include chemical and metabolic biomarkers.

Main Methods:

  • Utilized updated methodology incorporating newer Pubtator Central annotations based on full text.
  • Implemented a local SQLite database to improve performance and reduce running time.
  • Expanded capabilities for retrieval and analysis of gene, protein, chemical, and metabolic biomarkers.

Main Results:

  • Improved performance in analyzing gene and protein biomarkers.
  • Reduced running time and computational resources required for analyses.
  • Enabled the retrieval and analysis of chemical and metabolic biomarkers in addition to genetic and protein biomarkers.

Conclusions:

  • The updated text mining methodology offers a more efficient and comprehensive tool for biomarker discovery.
  • The use of a local SQLite database enhances accessibility and usability on standard computers.
  • The expanded scope facilitates a broader understanding of biomarkers in biomedical research.