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 Experiment Video

Updated: Jan 12, 2026

Bone Marrow Sampling and Transplants
01:22

Bone Marrow Sampling and Transplants

846

Assessing predicted HIV-1 replicative capacity in a clinical setting.

Roger D Kouyos1, Viktor von Wyl, Trevor Hinkley

  • 1ETH Zürich, Institute of Integrative Biology, Zürich, Switzerland. rkouyos@princeton.edu

Plos Pathogens
|November 11, 2011
PubMed
Summary

Related Concept Videos

Bone Marrow Sampling and Transplants01:22

Bone Marrow Sampling and Transplants

846
Bone marrow transplant is a potential cure for several diseases, including cancer and specific genetic disorders. Notably, this procedure is applicable for patients suffering from aplastic anemia, certain types of leukemia, severe combined immunodeficiency disease (SCID), Hodgkin's disease, non-Hodgkin's lymphoma, multiple myeloma, thalassemia, sickle-cell disease, and certain cancers.
The transplant begins with high doses of chemotherapy and radiation treatment, which aim to destroy...
846

You might also read

Related Articles

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

Sort by
Same author

VRC01 with antiretroviral initiation in infants is well tolerated, and higher concentrations associate with greater HIV-1 DNA declines.

Science translational medicine·2026
Same author

Correlates of severe and delta COVID-19 in a phase 3 trial of the AZD1222 vaccine.

NPJ vaccines·2026
Same author

Immune correlates analysis of antibody responses against SARS-CoV-2 variants in the ENSEMBLE vaccine efficacy trial.

iScience·2025
Same author

Analysis of Antibody Markers as Immune Correlates of Risk of Severe COVID-19 in the PREVENT-19 Efficacy Trial of the NVX-CoV2373 Recombinant Protein Vaccine.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2025
Same author

Parallel evolution of the elite neutralizer phenotype in divergent HIV-1 clades.

Journal of virology·2025
Same author

Phase 2 Trial of Long-Acting Cabotegravir and VRC07-523LS for Viral Suppression in Adults With HIV-1: ACTG A5357.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2025

This study shows that predicted HIV-1 replicative capacity (RC) correlates with in-vivo viral load. Higher RCs evolve during infection, indicating in-vitro fitness predicts in-vivo HIV progression.

Area of Science:

  • Virology
  • Machine Learning
  • Clinical Research

Background:

  • HIV-1 replicative capacity (RC) measures within-host fitness.
  • The relationship between in-vitro RC and in-vivo processes remains unclear.
  • Phenotypic drug resistance testing context for RC determination.

Purpose of the Study:

  • To assess HIV-1 RC in a clinical setting.
  • To correlate in-vitro RC measurements with in-vivo HIV processes.
  • To investigate the evolution of RC within infected individuals.

Main Methods:

  • Utilized a machine-learning tool to predict RC from partial pol sequences.
  • Trained the tool on 65,000 RC measurements and corresponding sequences.
  • Analyzed genotypic, clinical, and predicted RC data from the Swiss HIV Cohort Study (2073 drug-naïve individuals).

Related Experiment Videos

Last Updated: Jan 12, 2026

Bone Marrow Sampling and Transplants
01:22

Bone Marrow Sampling and Transplants

846

Main Results:

  • Predicted RC values (pRCs) significantly correlated with plasma viral load.
  • pRCs were significantly higher in sequences sampled later in infection (53 pairs).
  • Increased pRC correlated with increased viral load and time interval between samples.

Conclusions:

  • In-vivo selection favors the evolution of higher HIV-1 replicative capacities.
  • In-vitro RC fitness measures are indicative of in-vivo HIV viral load.
  • Machine learning prediction of RC offers a valuable tool for clinical assessment.