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

A Case of Anabolic Steroid Demonstrating Efficacy in Improving Anorexia Associated with Severe Fever with Thrombocytopenia Syndrome.

Journal of emergencies, trauma, and shock·2026
Same author

A Case of Abdominal Pain Due to a Hemolytic Attack After Diving.

Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2026
Same author

The Associations of Trunk Intramuscular Adipose Tissue Content with Dietary Intake and Eating Behavior in Younger and Older Japanese Women: A Pilot Study.

Nutrients·2026
Same author

Changes in metabolic risk factors and gut microbiota during weight gain in male first-year college athletes.

Physiological reports·2026
Same author

Severe psoriasis as an immune-related adverse event after long-term atezolizumab therapy for pulmonary large-cell neuroendocrine carcinoma: A case report.

Respiratory medicine case reports·2026
Same author

Emergency medical cases related to bamboo shoot harvesting: a case series and literature review.

Journal of rural medicine : JRM·2026

Related Experiment Video

Updated: May 4, 2026

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

9.3K

DNA methylation profiling can classify HIV-associated lymphomas.

Akihiro Matsunaga1, Tsunekazu Hishima, Noriko Tanaka

  • 1aDepartment of Intractable Diseases, Research Institute, National Center for Global Health and Medicine, Shinjuku bDepartment of Pathology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Honkomagome, Bunkyo cBiostatistics Section, Department of Clinical Research and Informatics, Clinical Research Center, National Center for Global Health and Medicine, Shinjuku dDepartment of Human Genetic, School of Medicine, The University of Tokyo, Bunkyo, Tokyo eGraduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba fDepartment of Pathology gAIDS Clinical Center hDivision of Hematology, Internal Medicine, National Center for Global Health and Medicine Hospital, Shinjuku iDepartment of Pathology, School of Medicine, Kyorin University, Mitaka, Tokyo, Japan.

AIDS (London, England)
|December 17, 2013
PubMed
Summary
This summary is machine-generated.

HIV-associated lymphomas exhibit distinct DNA methylation profiles, differing from non-HIV lymphomas. These unique epigenetic signatures may contribute to the poor prognosis observed in HIV-related lymphomas.

More Related Videos

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV
14:40

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Published on: March 5, 2022

4.1K
Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
07:50

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

7.0K

Related Experiment Videos

Last Updated: May 4, 2026

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
13:21

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients

Published on: June 16, 2017

9.3K
Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV
14:40

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Published on: March 5, 2022

4.1K
Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
07:50

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

7.0K

Area of Science:

  • Oncology
  • Epigenetics
  • Virology

Background:

  • HIV-positive individuals face a significantly higher risk of non-Hodgkin lymphomas.
  • HIV-associated lymphomas often present with aggressive features like extranodal involvement and poor treatment response.
  • Distinguishing HIV-associated from non-HIV lymphomas based on general pathology is challenging.

Purpose of the Study:

  • To investigate the distinct molecular features of HIV-associated lymphomas.
  • To identify differences in DNA methylation profiles between HIV-associated and non-HIV lymphomas.
  • To explore the potential of methylation profiles as prognostic markers for HIV-associated lymphomas.

Main Methods:

  • Genome-wide DNA methylation profiling was conducted on HIV and non-HIV lymphoma samples.
  • Illumina GoldenGate Methylation Cancer Panel I and HumanMethylation450 BeadChip microarrays were utilized.
  • Unsupervised hierarchical clustering analyzed DNA methylation profiles.

Main Results:

  • Unique DNA methylation profiles were identified in HIV-associated lymphomas compared to non-HIV lymphomas.
  • 2541 target sites showed significant methylation differences between HIV-associated and non-HIV lymphomas (P < 0.05, Δβ > 0.30).
  • Recurrent HIV-associated lymphomas displayed distinct methylation profiles compared to non-recurrent cases.

Conclusions:

  • DNA methylation profiling reveals significant differences in 2541 target sites in HIV-associated lymphomas, potentially explaining their poor prognosis.
  • These distinct methylation profiles offer insights into HIV-associated lymphomagenesis.
  • Methylation profiles of target genes represent promising novel prognostic markers for HIV-associated lymphoma.