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 practical and accessible workflow for bulk TCR sequencing from buffy coat samples without T cell enrichment.

Scientific reports·2026
Same author

AMZ2 facilitates oral squamous cell carcinoma progression via USP10-mediated deubiquitination of SF3B1 and regulation of MCL-1 alternative splicing.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery·2026
Same author

Atlantoaxial subluxation treated with exercise therapy combined with occipito-maxillary band traction: a case report.

Journal of medical case reports·2026
Same author

Psychological-Symptom Mismatch Phenotypes and Their Clinical Implications in Patients with Chronic Obstructive Pulmonary Disease.

International journal of chronic obstructive pulmonary disease·2026
Same author

Is Messier Better? Mechanistic Insights toward Ultracryogenic Metal-Ion Batteries.

Journal of the American Chemical Society·2026
Same author

Beyond Identifier Matching: An Empirical Characterization of Failure Modes in Biomedical Knowledge Graph Integration.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Aug 3, 2025

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
08:12

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Published on: March 14, 2019

5.5K

Preanalytic Methodological Considerations and Sample Quality Control of Circulating miRNAs.

Suit-Fong Chan1, He Cheng1, Karen Kai-Rui Goh1

  • 1Research and Development Lab, MiRXES Lab Pte. Ltd., Singapore.

The Journal of Molecular Diagnostics : JMD
|April 8, 2023
PubMed
Summary

A new 7-microRNA (miRNA) panel aids in controlling sample quality for disease diagnosis. This quality control ensures more reliable detection of circulating miRNAs, crucial for biomarker development.

More Related Videos

Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR
10:23

Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR

Published on: February 12, 2018

11.7K
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

15.7K

Related Experiment Videos

Last Updated: Aug 3, 2025

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
08:12

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Published on: March 14, 2019

5.5K
Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR
10:23

Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR

Published on: February 12, 2018

11.7K
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

15.7K

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Circulating microRNAs (miRNAs) show promise as biomarkers for disease diagnosis and prognosis.
  • Accurate miRNA quantification relies heavily on pre-analytical sample handling and quality control.
  • Standardized protocols are needed to mitigate confounding factors affecting miRNA profiles.

Purpose of the Study:

  • To establish a quality control (QC) panel for circulating miRNA detection.
  • To identify miRNAs affected by pre-analytical variables like hemolysis and platelet contamination.
  • To optimize blood sample processing for reliable miRNA analysis.

Main Methods:

  • Quantitative reverse transcription-polymerase chain reaction (RT-PCR) was used to profile 356 miRNAs.
  • Analysis included various blood sample types and processing protocols.
  • Correlation analysis identified miRNAs sensitive to confounding factors and stability issues.

Main Results:

  • A 7-miRNA panel was developed to assess sample quality, specifically for hemolysis and platelet contamination.
  • The study identified confounding impacts from blood collection tube size, centrifugation, and storage conditions.
  • A dual-spin workflow was established for optimal sample processing, and miRNA stability was assessed under various conditions.

Conclusions:

  • The developed 7-miRNA QC panel effectively assesses sample integrity for circulating miRNA analysis.
  • Incorporating stability-related miRNAs enhances the QC panel's robustness.
  • This QC panel supports more reliable and reproducible detection of circulating miRNAs as disease biomarkers.