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: Jul 4, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

Identifying Basement Membrane-Related Diagnostic Biomarkers for Rheumatoid Arthritis Through Machine Learning.

Lingtian Min1, Chengji Zhang2, Long Xu2

  • 1Department of Orthopedics, Nantong Hospital of Traditional Chinese Medicine, Nantong Hospital to Nanjing University of Chinese Medicine, Nantong, China.

Current Gene Therapy
|July 3, 2026
PubMed
Summary

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

Betulinic acid ameliorates experimental diabetic-induced renal inflammation and fibrosis via inhibiting the activation of NF-κB signaling pathway.

Molecular and cellular endocrinology·2016
Same author

Primary pulmonary T-cell lymphoma mimicking pneumonia: A case report and literature review.

Experimental and therapeutic medicine·2016
Same author

Investigating polymorphisms by bioinformatics is a potential cost-effective method to screen for germline mutations in Chinese familial adenomatous polyposis patients.

Oncology letters·2016
Same author

Discovery and characterization of a novel potent type II native and mutant BCR-ABL inhibitor (CHMFL-074) for Chronic Myeloid Leukemia (CML).

Oncotarget·2016
Same author

Temporal Patterns in Bacterioplankton Community Composition in Three Reservoirs of Similar Trophic Status in Shenzhen, China.

International journal of environmental research and public health·2016
Same author

Expanding CRISPR/Cas9 Genome Editing Capacity in Zebrafish Using SaCas9.

G3 (Bethesda, Md.)·2016
Same journal

A Multi-Gene Myofibroblast Framework Stratifies Prognostic and Immune Landscapes in HCC.

Current gene therapy·2026
Same journal

Single-cell Transcriptomics Inference of Neutrophil-mast Cell Communication Programs in Periodontitis.

Current gene therapy·2026
Same journal

GULP1 in Ovarian Cancer: Expression, Biological Function, and Clinical Significance.

Current gene therapy·2026
Same journal

Single‑cell Transcriptomic Profiling of Bone Marrow Mesenchymal Stem Cells Reveals Lineage Heterogeneity and Dysregulated Osteoblast Genes in Osteoporosis Versus Osteoarthritis.

Current gene therapy·2026
Same journal

Surface Functionalization of 3D-Printed Porous Ti-6Al-4V Scaffolds with PDA‑mHA-Col I Composite Coating Drives Macrophage Polarization toward the M2 Phenotype and Promotes Immunomodulation: An In Vitro Study.

Current gene therapy·2026
Same journal

Screening and Functional Study of Biomarkers Related to Cell-in-cell Structure in Stomach Adenocarcinoma.

Current gene therapy·2026
See all related articles
This summary is machine-generated.

This study identifies SEL1L3 and SLAMF8 as novel Basement Membrane-associated biomarkers for Rheumatoid Arthritis (RA). These findings offer new targets for early RA diagnosis and understanding disease mechanisms.

Area of Science:

  • Immunology
  • Molecular Biology
  • Genomics

Background:

  • Rheumatoid Arthritis (RA) is a prevalent autoimmune disease.
  • The Basement Membrane (BM) is crucial in joint tissues and implicated in immune diseases.
  • Understanding RA-BM interactions is key for identifying diagnostic biomarkers.

Purpose of the Study:

  • To explore the intricate relationship between Rheumatoid Arthritis and the Basement Membrane.
  • To identify novel diagnostic biomarkers for Rheumatoid Arthritis.
  • To investigate potential therapeutic targets related to BM in RA.

Main Methods:

  • Analysis of Gene Expression Omnibus (GEO) data to identify Differentially Expressed Genes (DEGs) related to BM in RA.
  • Consensus clustering to define BM-associated molecular subtypes of RA.
Keywords:
Rheumatoid arthritisbasement membranedifferentially expressed genesmultiple machine learning methodssingle-cell sequencing analysis

Related Experiment Videos

Last Updated: Jul 4, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

  • Application of machine learning algorithms (LASSO, RF, SVM-RFE) for biomarker screening.
  • Validation of candidate biomarkers (SEL1L3, SLAMF8) using external datasets and qRT-PCR.
  • Molecular docking to assess binding potential of Schisandrin (SCH) with biomarkers.

    • Main Results:

    • Identification of two distinct BM-associated molecular subtypes in RA, correlating with immune cell infiltration.
    • SEL1L3 and SLAMF8 identified as promising diagnostic biomarkers with high diagnostic efficacy (AUC 0.987 and 0.970).
    • Significant upregulation of SEL1L3 and SLAMF8 in RA tissues confirmed via validation studies.
    • Molecular docking indicated stable binding of Schisandrin (SCH) to SEL1L3 and SLAMF8.

    Conclusions:

    • BM molecular alterations are significant in RA pathogenesis, influencing immune regulation and tissue remodeling.
    • Distinct BM-associated RA subtypes underscore disease heterogeneity, aiding classification and personalized diagnosis.
    • SEL1L3 and SLAMF8 represent the first identified BM-associated RA diagnostic markers, crucial for early detection and mechanistic studies.