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

You might also read

Related Articles

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

Sort by

Same author

Claudin-1 targeting suppresses tumor growth, invasion, and metastasis in patient-derived cholangiocarcinoma models.

Science translational medicine·2026

Same author

Chemoprevention of hepatocellular carcinoma by next-generation antipsychotic aripiprazole.

Hepatology (Baltimore, Md.)·2026

Same author

HDV sensing drives USP18-mediated refractoriness to IFN-α response, sparing IFN-β/λ in hepatocytes.

Antiviral research·2026

Same author

Targeting pre-existing club-like cells in prostate cancer potentiates androgen deprivation therapy.

EMBO molecular medicine·2026

Same author

Decoding transcriptional identity during neuron-astroglia cell fate driven by RAR-specific agonists.

NAR molecular medicine·2025

Same author

Targeting peroxiredoxin 2 prevents hepatocarcinogenesis in metabolic liver disease models.

The Journal of clinical investigation·2025

Search research articles

Related Experiment Video

Updated: Oct 18, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Protocol for using MULTILAYER to reveal molecular tissue substructures from digitized spatial transcriptomes.

Julien Moehlin¹, Aysis Koshy¹, François Stüder¹

¹Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, University of Evry, University Paris-Saclay, 91057 Évry, France.

|September 29, 2021

Summary

This summary is machine-generated.

MULTILAYER software reveals molecular tissue substructures using spatially resolved transcriptomics (SrT) data. This tool analyzes localized transcriptomes to uncover complex gene programs within organ and tissue architecture.

Keywords:

Bioinformatics Systems biology

More Related Videos

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

Published on: September 22, 2013

En face Cryosectioning of Mouse Retina for High-dimensional Spatial Molecular Analysis

En face Cryosectioning of Mouse Retina for High-dimensional Spatial Molecular Analysis

Published on: July 8, 2025

Related Experiment Videos

Last Updated: Oct 18, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

Published on: September 22, 2013

En face Cryosectioning of Mouse Retina for High-dimensional Spatial Molecular Analysis

En face Cryosectioning of Mouse Retina for High-dimensional Spatial Molecular Analysis

Published on: July 8, 2025

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Spatially resolved transcriptomics (SrT) offers insights into organ and tissue architecture.
Understanding molecular complexity requires analyzing gene programs within spatial contexts.

Purpose of the Study:

To introduce MULTILAYER, a novel computational tool for analyzing SrT data.
To demonstrate MULTILAYER's capability in revealing molecular tissue substructures.

Main Methods:

Application of the MULTILAYER software to analyze localized transcriptomes (gexels).
Processing of both low- and high-resolution SrT datasets.
Performing comparative analyses across multiple SrT readouts.

Main Results:

MULTILAYER successfully identifies molecular substructures within tissues.
The tool facilitates the exploration of gene programs related to tissue complexity.
Demonstrated ability to handle diverse SrT data resolutions.

Conclusions:

MULTILAYER is a versatile tool for dissecting molecular organization in tissues using SrT.
This approach enhances the understanding of tissue architecture through gene expression patterns.