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

Regulated mRNA Transport

Regulated mRNA Transport

In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing...

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

You might also read

Related Articles

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

Sort by

Same author

The Mechanistic Role of the lncRNA AC016876.2/miR-133a-3p/SPAG5 Axis in Regulating Autophagy and Malignant Behavior in Bladder Cancer Cells.

The Tohoku journal of experimental medicine·2026

Same author

CAR-neutrophils produced in vivo to treat glioma.

Nature biomedical engineering·2026

Same author

Promoting APC function of B cells via reprogramming the fatty acid metabolism enhances anticancer immunity in metastatic ovarian cancer.

Cancer immunology, immunotherapy : CII·2026

Same author

Implantable cardioverter-defibrillator utilization in coronary artery spasm: A case series of cardiac arrest survivors and a patient with typical angiography.

American heart journal plus : cardiology research and practice·2026

Same author

The Jekyll and Hyde of Extracellular Vesicles: Dual Roles as Disease Drivers and Therapeutic Saviors in Diabetic Brain.

Molecular neurobiology·2026

Same author

Modulation of MOF Energy State to Construct Smart Activated Sensitizers for Membrane Directed C-H Ketene Therapy in Tumor Cells.

Advanced materials (Deerfield Beach, Fla.)·2026

Search research articles

Related Experiment Video

Updated: Jan 14, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Spatial transcriptomics: a bibliometric analysis with large language model on English literatures.

Huiyang Li^1,2, Haixiao Wu³, Wenjuan Ma⁴

¹Department of Gynecology and Obstetrics, Tianjin Medical University General Hospital, Tianjin, China.

Briefings in Bioinformatics

|October 26, 2025

Summary

This summary is machine-generated.

Spatial transcriptomics (ST) research is rapidly expanding, especially in cancer and immunology. Bibliometric analysis reveals key trends and highlights the importance of interdisciplinary collaboration for future advancements.

Keywords:

bibliometric analysis spatial transcriptomics transcriptomics tumor microenvironment

More Related Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Related Experiment Videos

Last Updated: Jan 14, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

Biotechnology
Genomics
Bioinformatics

Background:

Spatial transcriptomics (ST) integrates spatial and transcriptomic data for high-resolution gene expression mapping.
ST has become crucial for understanding cellular functions and disease mechanisms, particularly in cancer and immunology.

Purpose of the Study:

To conduct a bibliometric analysis of ST publications from 2015-2024.
To identify publication trends, journal distribution, and emerging research areas in ST.

Main Methods:

Bibliometric analysis of 1197 publications sourced from the Web of Science database.
Analysis of publication trends, journal distribution, and keyword co-occurrence.

Main Results:

A significant surge in ST publications occurred from 2021, with 500 papers published in 2023.
Key emerging research areas include "tumor microenvironment," "immune infiltration," and "biomarker discovery."
Five of the top 10 journals publishing ST research are from the Nature Publishing Group.

Conclusions:

ST is a rapidly evolving field with significant growth, particularly in cancer and immunology research.
International collaboration and multidisciplinary teams are vital for advancing ST research.
Understanding ST trends is essential for guiding future research impact and applications.