Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mouse Models of Cancer Study

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

You might also read

Related Articles

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

Sort by

Same author

Associations of alcohol use with expression of stromal markers in benign breast biopsy samples.

British journal of cancer·2026

Same author

A microRNA atlas of the human prefrontal cortex across the adult lifespan.

bioRxiv : the preprint server for biology·2026

Same author

Host microRNA-31-5p regulates KHDRBS3 expression and modulates viral gene expression during KSHV lytic reactivation.

Cell reports·2026

Same author

Advances in peptide nucleic acid for targeting RNA and genomic DNA.

Cell reports. Physical science·2026

Same author

Interpretable Deep Learning for Single-Molecule Nanopore Fingerprinting Using Physics-Guided Preprocessing.

ACS sensors·2026

Same author

MicroRNA spatial profiling for assessing drug efficacy in <i>BRCA1</i> -related triple-negative breast tumors.

bioRxiv : the preprint server for biology·2026

Same journal

Machine Learning-Assisted Label-Free SERS Decoding of Mitochondrial Molecular Dynamics in Ovarian Granulosa Cells during Aging.

Analytical chemistry·2026

Same journal

Revealing the Regulatory Interplay of NHE1 mRNA and Na<sup>+</sup> in Cancer Cells Using a DNA Nanosensor.

Analytical chemistry·2026

Same journal

Towards Cellular Resolution of Tryptic Peptides in Tissue Sections by MALDI MS Imaging: A Focus on Enzyme Application and Reproducibility.

Analytical chemistry·2026

Same journal

Bioinspired Bilayer Hydrogel Colorimetric Sensor Array for Low-Temperature Food Freshness Analysis.

Analytical chemistry·2026

Same journal

Quartz Crystal Microbalance-Based Point-of-Care Testing Systems: Principles, Device Design, and Applications.

Analytical chemistry·2026

Same journal

Heterojunction Gate-Empowered OPECT Aptasensing: A Valid Protocol for Realizing High Current Gain at Low Electron Donor Dependency.

Analytical chemistry·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 12, 2026

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

Sensitive Multiplexed MicroRNA Spatial Profiling and Data Classification Framework Applied to Murine Breast Tumors.

Omar N Mohd¹, Yujing J Heng², Lin Wang³

¹Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.

Analytical Chemistry

|July 24, 2024

Summary

This summary is machine-generated.

This study introduces a sensitive method for simultaneously detecting and quantifying microRNAs (miRNAs) in tissue sections. This spatial transcriptomics approach enhances biomarker discovery and understanding of disease progression.

More Related Videos

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization

Published on: June 7, 2016

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

Related Experiment Videos

Last Updated: May 12, 2026

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization

Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization

Published on: June 7, 2016

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

Area of Science:

Molecular Biology
Genomics
Biomarker Discovery

Background:

MicroRNAs (miRNAs) are crucial disease biomarkers due to their tissue specificity and stability.
Advancements in spatial transcriptomics necessitate sensitive, spatially resolved detection methods for miRNAs.
Understanding miRNA expression localization within tissues is vital for patient outcome prediction.

Purpose of the Study:

To develop a highly sensitive methodology for simultaneous in situ quantitation and spatial detection of multiple miRNAs.
To enable visualization of miRNA spatial information, leveraging spatial transcriptomics over bulk assays.
To apply the developed method to a relevant disease model for demonstrating its utility.

Main Methods:

Utilized rolling circle amplification (RCA) combined with a dual scanning approach in nanoliter well arrays.
Employed hydrogel posts functionalized with DNA probes for miRNA detection on formalin-fixed paraffin-embedded tissue sections.
Achieved detection across a 4-order dynamic range with a limit of detection of 0.17 zeptomoles.

Main Results:

Successfully demonstrated simultaneous quantitation and spatial detection of seven miRNAs in situ.
Validated the method's high sensitivity and dynamic range on complex tissue samples.
Showcased the gained insights by applying the methodology to K14-Cre Brca1;Tp53 murine breast tumors.

Conclusions:

The developed methodology offers a powerful tool for sensitive, spatially resolved miRNA detection in FFPE tissues.
This approach significantly enhances the potential of spatial transcriptomics for biomarker research and clinical applications.
The method provides crucial spatial information on miRNA expression, aiding in understanding disease mechanisms and patient prognosis.