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

Brain Imaging01:14

Brain Imaging

468
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
468

You might also read

Related Articles

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

Sort by
Same author

Early Detriment Analysis of First-Line Nivolumab plus Ipilimumab-Based Therapy in Patients with Metastatic Non-Small Cell Lung Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Endocrine therapy reprogramming of breast cancer facilitates metastatic escape via upregulation of P-Rex1/Rac1 signalling.

Nature communications·2026
Same author

World Health Organization classification of tumours of the breast 6th edition 2026.

Histopathology·2026
Same author

Defining the tumor microenvironment of non-small cell lung cancer.

Immunology and cell biology·2026
Same author

Multi-omics reveals key molecular and cellular features of advanced small cell lung cancers associated with distinct therapeutic opportunities.

Genome medicine·2026
Same author

Integrating breast tumour homologous recombination deficiency status to aid germline BRCA1 and BRCA2 variant classification.

EBioMedicine·2026
Same journal

Bacterial respiratory infections: advances in diagnostic strategies.

Expert review of molecular diagnostics·2026
Same journal

Artificial intelligence in molecular diagnostics for pandemic preparedness.

Expert review of molecular diagnostics·2026
Same journal

Navigating PD-L1 testing in immuno-oncology: analytical robustness, clinical validation, and the role of the VENTANA SP263 assay.

Expert review of molecular diagnostics·2026
Same journal

Extracellular vesicles as diagnostic and prognostic biomarkers in non-small cell lung cancer.

Expert review of molecular diagnostics·2026
Same journal

Explainable epigenetic aging clocks: an overview of existing AI models and approaches.

Expert review of molecular diagnostics·2026
Same journal

Neuro-axonal injury biomarker serum neurofilament light chain is associated with osteoarthritis: a dual-cohort study from NHANES and UK Biobank.

Expert review of molecular diagnostics·2026
See all related articles

Related Experiment Video

Updated: Nov 14, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
09:17

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

2.5K

Spatial profiling technologies and applications for brain cancers.

Priyakshi Kalita-de Croft1, Habib Sadeghi Rad2, Harry Gasper3,4

  • 1UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.

Expert Review of Molecular Diagnostics
|March 9, 2021
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics advances brain cancer research by detailing the complex tumor microenvironment (TME). Understanding the TME aids in developing new therapies and overcoming treatment resistance in brain tumors.

Keywords:
Brain tumorsbrain metastasisglioblastomaspatial profilingtumor microenvironment

More Related Videos

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

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

Published on: July 6, 2022

5.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.0K

Related Experiment Videos

Last Updated: Nov 14, 2025

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
09:17

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

2.5K
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

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

Published on: July 6, 2022

5.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.0K

Area of Science:

  • Neuro-oncology
  • Cancer Biology
  • Genomics

Background:

  • Malignant primary and secondary brain tumors present a growing health challenge.
  • The brain tumor microenvironment (TME) is complex and influences treatment outcomes.
  • Rising incidence necessitates advanced research methods for brain cancers.

Purpose of the Study:

  • To review cutting-edge spatial profiling technologies.
  • To highlight applications of these technologies in brain cancer research.
  • To enhance understanding of the brain tumor microenvironment.

Main Methods:

  • Overview of spatial transcriptomics and related imaging technologies.
  • Discussion of multi-omics approaches for tissue analysis.
  • Review of current literature on spatial profiling in brain tumors.

Main Results:

  • Spatial transcriptomics offers deep insights into tissue architecture and cellular profiles.
  • These technologies reveal cellular activation states within the TME.
  • Characterization of the heterogeneous and immunosuppressive brain TME is enabled.

Conclusions:

  • Next-generation imaging and multi-omics tools are crucial for characterizing brain tumor biology.
  • Understanding tissue biology aids in designing effective cancer therapies.
  • These advancements are key to addressing therapy resistance in brain tumors.