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

Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
Incomplete Dominance01:43

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

You might also read

Related Articles

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

Sort by
Same author

Genetic background of cognitive decline in Parkinson's disease.

Frontiers in cognition·2026
Same author

Gastric myoelectrical activity and autonomic dysfunction in children with IBD and IBS: An electrogastrographic and autonomic correlation study.

Autonomic neuroscience : basic & clinical·2026
Same author

Predicting disease progression in multiple sclerosis with clinically accessible information and technology.

Journal of neurology·2026
Same author

Rome was not built in a day, nor is a resilient clinical autonomic care unit.

Clinical autonomic research : official journal of the Clinical Autonomic Research Society·2026
Same author

Sudoscan® and QSART in the composite autonomic severity scale: complementary approaches to sudomotor assessment in multiple sclerosis.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

Long-term outcomes of cladribine tablets in multiple sclerosis: Treatment completion, persistence, and subsequent therapy transitions in Southeast Europe.

Multiple sclerosis and related disorders·2026
Same journal

Clinical response after cerebrospinal fluid shunting in complex versus pure idiopathic normal pressure hydrocephalus: A systematic review and meta-analysis.

Clinical neurology and neurosurgery·2026
Same journal

Preoperative sleep medication use and outcomes following lumbar spine surgery.

Clinical neurology and neurosurgery·2026
Same journal

Long-term real-world outcomes and device management of intrathecal drug delivery systems: A 16-year single-center experience with a primary focus on baclofen therapy.

Clinical neurology and neurosurgery·2026
Same journal

Trends and safety of outpatient versus inpatient lumbar interbody fusion - A national cohort study.

Clinical neurology and neurosurgery·2026
Same journal

A case report on αIN antibody-mediated paraneoplastic cerebellar ataxia.

Clinical neurology and neurosurgery·2026
Same journal

Early prediction of prolonged mechanical ventilation in invasively ventilated patients with subarachnoid hemorrhage: A MIMIC-IV prediction model study.

Clinical neurology and neurosurgery·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Quantification of Autoreactive Antibodies in Mice upon Experimental Autoimmune Encephalomyelitis
05:55

Quantification of Autoreactive Antibodies in Mice upon Experimental Autoimmune Encephalomyelitis

Published on: December 1, 2023

Genomics in multiple sclerosis.

Mario Habek1, Fran Borovecki, Vesna V Brinar

  • 1Department of Neurology, School of Medicine, University of Zagreb and University Hospital Center Zagreb, Zagreb, Croatia. mhabek@mef.hr

Clinical Neurology and Neurosurgery
|May 18, 2010
PubMed
Summary
This summary is machine-generated.

Genome-wide expression studies offer insights into multiple sclerosis (MS), a complex neurological disease. Analyzing gene expression in brain and blood may reveal biomarkers for predicting MS progression and treatment response.

Related Experiment Videos

Last Updated: Jun 13, 2026

Quantification of Autoreactive Antibodies in Mice upon Experimental Autoimmune Encephalomyelitis
05:55

Quantification of Autoreactive Antibodies in Mice upon Experimental Autoimmune Encephalomyelitis

Published on: December 1, 2023

Area of Science:

  • Neuroscience
  • Genomics
  • Immunology

Background:

  • Multiple sclerosis (MS) is a chronic, inflammatory central nervous system disease affecting young adults.
  • MS is characterized by demyelinating lesions disseminated in time and space, exhibiting significant heterogeneity.
  • There is a critical need for biomarkers to predict MS disease course, outcome, and treatment response, especially in early stages like clinically isolated syndrome.

Purpose of the Study:

  • To review the results of genome-wide expression studies in multiple sclerosis patients.
  • To discuss the potential applications of these studies in understanding MS.
  • To explore the utility of analyzing gene expression in both brain tissue and blood samples.

Main Methods:

  • Genome-wide expression analysis was employed to profile all genes in specific tissues or cell populations.
  • The human genome sequence allows for comprehensive gene analysis in various contexts.
  • Studies included analysis of brain tissue and blood samples from individuals with MS.

Main Results:

  • Genome-wide expression studies provide comprehensive gene profiles in MS.
  • Analysis of gene expression patterns can reveal insights into the disease mechanisms of MS.
  • These studies highlight the potential for identifying biomarkers from both central nervous system and peripheral samples.

Conclusions:

  • Genome-wide expression analysis is a powerful tool for studying the complex nature of MS.
  • Identifying reliable biomarkers through these studies could significantly improve early diagnosis and personalized treatment strategies for MS patients.
  • Further research into gene expression profiles holds promise for advancing the management of multiple sclerosis.