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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Methods of Classification and Identification01:28

Methods of Classification and Identification

Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

You might also read

Related Articles

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

Sort by
Same author

Molecular identification of trichomonads in captive sugar gliders and tortoises with diarrhea: a case study.

Scientific reports·2026
Same author

Fluorometholone-antibiotic interactions in canine ocular bacteria: <i>in vitro</i> susceptibility changes in common corneal infection pathogens.

Frontiers in veterinary science·2026
Same author

Cyclin-dependent kinase-inhibitor screening and structural analysis identify a CDK-like kinase candidate in Naegleria fowleri.

Parasites & vectors·2026
Same author

Baxter's Nerve Entrapment Caused by a Lipoma with Abductor Digiti Minimi Atrophy: A Case Report.

Journal of the Korean Society of Radiology·2026
Same author

Tumor microenvironment-specific nanomedicine: from biology-driven to multi-omics-guided precision engineering.

Journal of hematology & oncology·2026
Same author

Etiology of thin endometrial lining and euploid single embryo transfer outcomes.

Reproductive biomedicine online·2026

Related Experiment Video

Updated: May 18, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

16.3K

Machine Learning-Based Lung Cancer Classification Using Blood-Derived Microbial DNA: A Comparative Analysis of

Chul-Jun Goh1, Jiwoo Park1, Yoonhee Kim1

  • 1Eone-Diagnomics Genome Center, Inc., 143, Gaetbeol-ro, Yeonsu-gu, Incheon 21999, Republic of Korea.

Diagnostics (Basel, Switzerland)
|April 14, 2026
PubMed
Summary

Different methods for analyzing microbial DNA in blood impact lung cancer detection results. Careful interpretation of these microbial signatures is crucial for accurate diagnosis.

Keywords:
bioinformatics pipelinecirculating cell-free microbial DNAliquid biopsylow-biomass microbiomelung cancermachine learningtaxonomic profiling

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.7K
Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells
08:54

Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells

Published on: May 20, 2020

10.4K

Related Experiment Videos

Last Updated: May 18, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

16.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.7K
Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells
08:54

Pathological Analysis of Lung Metastasis Following Lateral Tail-Vein Injection of Tumor Cells

Published on: May 20, 2020

10.4K

Area of Science:

  • Microbiome research
  • Cancer biomarkers
  • Bioinformatics

Background:

  • Circulating cell-free microbial DNA (cfmDNA) shows promise as a non-invasive cancer biomarker.
  • Low cfmDNA biomass and analytical variability challenge the reliability of microbial signatures.
  • Understanding the impact of different analysis methods on cfmDNA data is essential.

Purpose of the Study:

  • To assess how distinct taxonomic profiling strategies affect machine learning classification and feature interpretation in lung cancer detection using cfDNA.
  • To compare the influence of Bracken-based and BLAST-refined workflows on microbial signature analysis.

Main Methods:

  • Analysis of cfDNA sequencing data from 168 individuals (80 lung cancer, 88 controls).
  • Comparison of two taxonomic profiling workflows: Bracken and BLAST-refined alignment.
  • Evaluation of microbial profiles using supervised machine learning models and nested cross-validation.

Main Results:

  • Random Forest models demonstrated strong lung cancer classification performance (AUC 0.852-0.906).
  • Significant variations in feature selection and fold-change directionality were observed between profiling strategies.
  • While 13 genera were consistently identified, their abundance differences varied by pipeline.

Conclusions:

  • Blood cfmDNA profiles can aid machine learning-based lung cancer classification.
  • Microbial feature interpretation is highly sensitive to the chosen taxonomic assignment strategy.
  • Methodological transparency and pipeline-aware interpretation are vital for low-biomass blood microbiome studies.