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

You might also read

Related Articles

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

Sort by
Same author

Historical roots of hospital-centred operational governance in China: a path dependence analysis and its implications for global health system reform.

BMJ global health·2026
Same author

Environmental Health Literacy Prevalence and Profiles among Shanghai Residents - Shanghai, China, 2020-2024.

China CDC weekly·2026
Same author

Evaluating deep coal rock gas fracturing sweet spot intervals using PSO-ELM algorithm and petrophysical logging data.

Scientific reports·2026
Same author

Association of body mass index and serum markers with immune-related adverse events in lung cancer patients receiving immune checkpoint inhibitors.

Journal of thoracic disease·2026
Same author

An In-Depth Exploration of the Impact of Mixing Ratios in Ball Milling on the Performance of Carbon-Coated LiFe<sub>0.5</sub>Mn<sub>0.5</sub>PO<sub>4</sub> and NCM811 Cathode Material Composites.

Chemphyschem : a European journal of chemical physics and physical chemistry·2026
Same author

Injectable Binary-Amplified Cascade Hydrogels Suppress Post-Incomplete Microwave Ablation Relapse via Integrated Metallo-Metabolic-Immunomodulation.

ACS nano·2026

Related Experiment Video

Updated: Jan 7, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

613

Spatial transcriptomics: integrating platforms and computational approaches for clinical insights.

Wei Song1, Duo Wang2, Jinming Li1

  • 1National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/ National Center of Gerontology, PR China; National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, PR China.

Biotechnology Advances
|December 28, 2025
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics (ST) advances life science by mapping gene expression to locations. This review compares ST methods, applications, and challenges, aiming to guide future research and clinical use.

Keywords:
Data analysisSpatial transcriptomicsStandardizationTechnological platforms

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

5.3K
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

4.2K

Related Experiment Videos

Last Updated: Jan 7, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

613
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

5.3K
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

4.2K

Area of Science:

  • Life Science Research
  • Molecular Biology
  • Pathological Diagnosis

Background:

  • Spatial transcriptomics (ST) enables transcriptome analysis at spatial location levels, moving beyond bulk and single-cell methods.
  • This technology offers unprecedented insights into biological processes, disease mechanisms, and clinical diagnosis.
  • Despite advances, ST faces challenges in technical complexity, data analysis, and standardization.

Purpose of the Study:

  • To provide a comprehensive comparison of ST technical principles and data analysis.
  • To summarize the latest applications and current standardization status of ST.
  • To offer researchers a framework for understanding ST progress, challenges, and future directions.

Main Methods:

  • Review and comparison of existing spatial transcriptomics technologies.
  • Analysis of data processing pipelines for spatial transcriptomics data.
  • Summary of current applications and standardization efforts in the field.

Main Results:

  • Detailed comparison of technical principles and data analysis workflows for ST.
  • Overview of recent advancements and diverse applications of ST in biological research.
  • Identification of key challenges including technical hurdles, analytical difficulties, and standardization gaps.

Conclusions:

  • ST is a transformative technology with vast potential in biology and medicine.
  • Addressing current challenges is crucial for the further development and clinical translation of ST.
  • This review aims to facilitate understanding and promote the advancement of ST technologies.