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

Lessons Learned from Nonoperative Management of Greater Trochanter Fractures After Total Hip Arthroplasty.

JB & JS open access·2026
Same author

Comparison of blood culture contamination rates with standard practice versus two blood diversion devices at a single institution.

Journal of clinical microbiology·2026
Same author

Design and validation of a biomechanics device for preclinical arthrofibrosis models.

Bone & joint research·2026
Same author

<i>Legionella</i> 5S rRNA PCR melting temperature analysis discriminates high-risk species associated with disease severity.

Journal of clinical microbiology·2026
Same author

Resistance to novel β-lactam/β-lactamase inhibitors among carbapenem-resistant <i>Pseudomonas aeruginosa</i> and clinical implications in the prospective observational <i>Pseudomonas</i> study.

Antimicrobial agents and chemotherapy·2026
Same author

Surprisingly Low Rates of Aseptic Loosening in 575 Rotating-Hinge Total Knee Arthroplasties.

The Journal of bone and joint surgery. American volume·2026

Related Experiment Video

Updated: Aug 16, 2025

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
10:35

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction

Published on: December 3, 2017

11.2K

Sonicate Fluid Cellularity Predicted by Transcriptomic Deconvolution Differentiates Infectious from Non-Infectious

Cody R Fisher1,2, Jordan E Krull1, Aditya Bhagwate3

  • 1Department of Immunology, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota.

The Journal of Bone and Joint Surgery. American Volume
|December 27, 2022
PubMed
Summary

Deep sequencing analysis using CIBERSORTx successfully differentiated infectious (periprosthetic joint infection failure) from non-infectious arthroplasty failure by predicting cellularity. This transcriptomic approach offers a novel method for evaluating immune responses in joint infections.

More Related Videos

Synovial Fluid Analysis to Identify Osteoarthritis
07:51

Synovial Fluid Analysis to Identify Osteoarthritis

Published on: October 20, 2022

4.7K
Author Spotlight: Isolation and Culture of Primary Synovial Macrophages and Fibroblasts from Murine Arthritis Tissue
09:18

Author Spotlight: Isolation and Culture of Primary Synovial Macrophages and Fibroblasts from Murine Arthritis Tissue

Published on: February 24, 2023

8.1K

Related Experiment Videos

Last Updated: Aug 16, 2025

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
10:35

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction

Published on: December 3, 2017

11.2K
Synovial Fluid Analysis to Identify Osteoarthritis
07:51

Synovial Fluid Analysis to Identify Osteoarthritis

Published on: October 20, 2022

4.7K
Author Spotlight: Isolation and Culture of Primary Synovial Macrophages and Fibroblasts from Murine Arthritis Tissue
09:18

Author Spotlight: Isolation and Culture of Primary Synovial Macrophages and Fibroblasts from Murine Arthritis Tissue

Published on: February 24, 2023

8.1K

Area of Science:

  • * Molecular Biology
  • * Immunology
  • * Orthopedics

Background:

  • * Traditional assessment of cellularity in arthroplasty failure relies on morphology.
  • * Deep sequencing offers potential for cellularity information, aiding microorganism detection.
  • * This study investigates transcriptomic-based cellular deconvolution for predicting cellularity in arthroplasty failure.

Purpose of the Study:

  • * To test the hypothesis that CIBERSORTx-predicted cellularity can distinguish between infectious and non-infectious arthroplasty failure.
  • * To evaluate the utility of transcriptomic data for assessing immune cell composition in sonicate fluid.
  • * To identify specific cellular fractions associated with periprosthetic joint infection failure (PJIF) versus non-infectious arthroplasty failure (NIAF).

Main Methods:

  • * Analyzed 93 sonicate fluid samples using bulk RNA sequencing.
  • * Applied CIBERSORTx, a transcriptomic deconvolution tool, to predict cellularity profiles.
  • * Utilized principal component analysis and receiver operating characteristic curve analysis for differentiation.

Main Results:

  • * CIBERSORTx successfully clustered samples based on predicted cellularity, differentiating PJIF from NIAF.
  • * Key cellular fractions like neutrophils, activated mast cells, and eosinophils were elevated in PJIF.
  • * Macrophage, monocyte, and B cell fractions were higher in NIAF, while granulocytes were elevated in PJIF.

Conclusions:

  • * CIBERSORTx accurately predicts sonicate fluid cellularity from transcriptomic data.
  • * This method allows for evaluating immune responses in PJIF and NIAF without phenotypic cell assessment.
  • * Transcriptomic deconvolution provides a valuable tool for understanding the immune landscape in arthroplasty failure.