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

Group Design02:01

Group Design

9.3K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.3K
Schemas01:42

Schemas

10.8K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
10.8K
Overview of Transposition and Recombination02:13

Overview of Transposition and Recombination

16.4K
Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...
16.4K
Introduction to Structures01:30

Introduction to Structures

2.5K
A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
2.5K
Space Trusses01:25

Space Trusses

2.1K
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. The space truss is widely used in various construction projects due to its adaptability and capacity to withstand complex loads.
At the core of a space truss lies the fundamental unit known as the tetrahedron. This structure is composed of six members that form a three-dimensional shape...
2.1K
Space Trusses: Problem Solving01:29

Space Trusses: Problem Solving

1.6K
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. Due to its adaptability and capacity to withstand complex loads, the space truss is widely used in various construction projects.
Consider a tripod consisting of a tetrahedral space truss with a ball-and-socket joint at C. Suppose the height and lengths of the horizontal and vertical...
1.6K

You might also read

Related Articles

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

Sort by
Same author

How to give a bad talk.

Nature reviews. Cancer·2026
Same author

A mechanism for adaptive genome regulation in cancer.

Nature·2026
Same author

Dissecting microbial communities with single-cell transcriptome analysis.

Science (New York, N.Y.)·2025
Same author

Mechanical confinement governs phenotypic plasticity in melanoma.

Nature·2025
Same author

Desmosome mutations impact the tumor microenvironment to promote melanoma proliferation.

Nature genetics·2025
Same author

scRNA-seq uncovers the transcriptional dynamics of Encephalitozoon intestinalis parasites in human macrophages.

Nature communications·2025
Same journal

Family of magnetic field-boosted superconductors in rhombohedral graphene.

Nature·2026
Same journal

What's the human cost of US research turmoil? A new film finds out.

Nature·2026
Same journal

Daily briefing: Ovaries start a second job after menopause.

Nature·2026
Same journal

Audio long read: Is the peptide craze backed by science? The promise behind the hype.

Nature·2026
Same journal

Scientists fight back against far-right plans to restrict academic freedom in Germany.

Nature·2026
Same journal

How AI can crack open the 'hidden curriculum' for neurodivergent students.

Nature·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
08:33

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

8.3K

Exploring tissue architecture using spatial transcriptomics.

Anjali Rao1, Dalia Barkley1, Gustavo S França1

  • 1Institute for Computational Medicine, NYU Langone Health, New York, NY, USA.

Nature
|August 12, 2021
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics maps gene activity across tissues, advancing life sciences research. This technology enables hypothesis generation and testing in various biological and disease contexts.

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

5.1K
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

3.6K

Related Experiment Videos

Last Updated: May 6, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
08:33

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

8.3K
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

5.1K
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

3.6K

Area of Science:

  • Molecular Biology
  • Genomics
  • Systems Biology

Background:

  • Understanding gene activity's role in cellular organization is crucial for life sciences.
  • Spatial transcriptomics, using next-generation sequencing and imaging, measures gene expression throughout tissue space.
  • This technology has applications in neuroscience, developmental biology, plant biology, and cancer research.

Purpose of the Study:

  • To review spatial transcriptomic technologies.
  • To describe data analysis approaches for spatial transcriptomics.
  • To highlight the utility of spatial transcriptomics for hypothesis generation and testing.

Main Methods:

  • Review of spatial transcriptomic technologies.
  • Description of data analysis operations for spatial transcriptomic data.
  • Discussion of experimental designs for hypothesis testing using spatial transcriptomics.

Main Results:

  • Spatial transcriptomics provides large-scale atlases of gene expression in tissues.
  • Data analysis allows for exploratory analysis and hypothesis generation.
  • Spatial transcriptomic data can be integrated with other data modalities for comprehensive insights.

Conclusions:

  • Spatial transcriptomics is a powerful tool for understanding tissue organization.
  • It facilitates hypothesis generation and testing in diverse biological and disease contexts.
  • Integration with other data modalities offers an expandable framework for biological discovery.