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

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.4K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.4K

You might also read

Related Articles

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

Sort by
Same author

Charting human cellular senescence in aging and disease.

Cell·2026
Same author

The New York Genome Center ALS Consortium resource integrates postmortem tissue transcriptomics and whole genome sequencing to empower biological discovery.

medRxiv : the preprint server for health sciences·2026
Same author

Single-nucleus multiome sequencing identifies candidate regulators of mouse gastric epithelial homeostasis.

bioRxiv : the preprint server for biology·2026
Same author

Large-scale exome analyses reveal new rare variant contributions in amyotrophic lateral sclerosis.

Nature genetics·2026
Same author

Age-related macular degeneration and cerebral amyloid angiopathy have similar pathologies from cholesterol-APOE-amyloid-β-complement mediated inflammation.

Progress in retinal and eye research·2026
Same author

Uncovering the signatures of aging and senescence in the human dorsolateral prefrontal cortex.

Cell genomics·2026

Related Experiment Video

Updated: Nov 21, 2025

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

Spatially resolved transcriptomics and its applications in cancer.

Silas Maniatis1, Joana Petrescu2, Hemali Phatnani2

  • 1Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY, USA.

Current Opinion in Genetics & Development
|January 12, 2021
PubMed
Summary

Spatially resolved transcriptomics (SRT) reveals cellular functions within tissues. This review covers diverse SRT technologies and their use in understanding tumor heterogeneity.

More Related Videos

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

408
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

3.8K

Related Experiment Videos

Last Updated: Nov 21, 2025

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
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

408
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

3.8K

Area of Science:

  • Biotechnology
  • Genomics
  • Molecular Biology

Background:

  • Spatially resolved transcriptomics (SRT) enables the study of cellular functions within intact tissue microenvironments.
  • Rapid advancements in SRT technologies have led to numerous new methods in recent years.
  • SRT methods vary significantly in data depth, throughput, accessibility, and cost.

Purpose of the Study:

  • To review current Spatially resolved transcriptomics technologies.
  • To discuss the applications of SRT in studying tumor heterogeneity.

Main Methods:

  • Literature review of published Spatially resolved transcriptomics technologies.
  • Analysis of the characteristics and applications of various SRT methods.
  • Focus on methods applicable to tumor heterogeneity studies.

Main Results:

  • Diverse SRT technologies exist, with varying technical specifications and costs.
  • Some SRT methods are widely available commercially, while others remain lab-specific.
  • SRT is a powerful tool for investigating the complexities of tumor heterogeneity.

Conclusions:

  • SRT technologies are rapidly evolving, offering new insights into tissue organization and cellular function.
  • The choice of SRT technology depends on specific research needs regarding depth, throughput, and cost.
  • SRT plays a crucial role in advancing the understanding of tumor heterogeneity and its implications.