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

You might also read

Related Articles

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

Sort by
Same author

Improving the Electrocatalytic Activity and Durability of the La<sub>0.6</sub>Sr<sub>0.4</sub>Co<sub>0.2</sub>Fe<sub>0.8</sub>O<sub>3-δ</sub> Cathode by Surface Modification.

ACS applied materials & interfaces·2018
Same author

Oriented electron transmission in polyoxometalate-metalloporphyrin organic framework for highly selective electroreduction of CO<sub>2</sub>.

Nature communications·2018
Same author

Immune Checkpoint Inhibition Overcomes ADCP-Induced Immunosuppression by Macrophages.

Cell·2018
Same author

Impact of Strain-Induced Changes in Defect Chemistry on Catalytic Activity of Nd<sub>2</sub>NiO<sub>4+δ</sub> Electrodes.

ACS applied materials & interfaces·2018
Same author

Curcumin induces apoptosis and inhibits angiogenesis in murine malignant mesothelioma.

International journal of oncology·2018
Same author

Deletion of SMARCA4 impairs alveolar epithelial type II cells proliferation and aggravates pulmonary fibrosis in mice.

Genes & diseases·2018

Related Experiment Video

Updated: Jul 25, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K

Exploring the diagnostic markers of essential tremor: A study based on machine learning algorithms.

Yuan Gao1,2, Li Ding1, Jiang Liu1

  • 1Department of Neurology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650000, Yunnan, China.

Open Life Sciences
|June 26, 2023
PubMed
Summary

Researchers identified three key genes (APOE, SENP6, ZNF148) using machine learning to diagnose essential tremor (ET). These biomarkers may help overcome the diagnostic challenges of this common neurological disorder.

Keywords:
diagnosis markersessential tremorfunctional enrichment analysishigh-throughput sequencingimmune microenvironment

More Related Videos

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor
05:54

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor

Published on: December 13, 2017

14.1K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.5K

Related Experiment Videos

Last Updated: Jul 25, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.2K
MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor
05:54

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor

Published on: December 13, 2017

14.1K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.5K

Area of Science:

  • Neurology
  • Bioinformatics
  • Genetics

Background:

  • Essential tremor (ET) is a prevalent neurological disorder.
  • Clinical diagnosis of ET is challenging due to a lack of reliable biomarkers.
  • MicroRNAs (miRNAs) are being investigated as potential diagnostic markers.

Purpose of the Study:

  • To identify potential diagnostic biomarkers for essential tremor (ET) by screening miRNAs.
  • To utilize machine learning algorithms for biomarker discovery in ET.
  • To explore the role of identified genes in ET pathogenesis and immune microenvironment.

Main Methods:

  • Combined public and in-house high-throughput sequencing datasets for ET and control samples.
  • Applied Lasso regression and Support Vector Machine Recursive Feature Elimination (SVM-RFE) for gene screening.
  • Utilized Receiver Operating Characteristic (ROC) curves with Area Under the Curve (AUC) to validate diagnostic genes.
  • Performed functional enrichment analysis and ssGSEA to understand gene function and immune landscape.

Main Results:

  • Identified three differentially expressed genes (DEGs): APOE, SENP6, and ZNF148, with AUCs > 0.7.
  • These genes demonstrated significant ability to differentiate ET patients from healthy controls.
  • Diagnostic genes were associated with cholinergic, GABAergic, and dopaminergic synapse networks.
  • The identified genes influenced the immune microenvironment in ET.

Conclusions:

  • The genes APOE, SENP6, and ZNF148 show promise as diagnostic biomarkers for essential tremor.
  • These biomarkers could aid in overcoming the clinical diagnostic difficulties associated with ET.
  • The findings provide a foundation for understanding ET pathogenesis and developing diagnostic tools.