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

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

Single-nucleus profiling reveals a core disease signature and cell type-specific vulnerabilities in early Rett syndrome.

Science advances·2026

Same author

A massively parallel reporter assay of <i>MECP2</i> cis-regulatory elements reveals genetic candidates for male-biased autism.

bioRxiv : the preprint server for biology·2026

Same author

Latent Factor Modeling Reveals Unexpected Spatial Heterogeneity in Human Alzheimer's Disease Brain Transcriptomes.

Computational and structural biotechnology journal·2026

Same author

Transcriptomic data and biomedical literature synergize in finding pharmacologic gene regulators.

bioRxiv : the preprint server for biology·2026

Same author

Modulating alternative splicing of <i>MECP2</i> is a potential therapeutic strategy for Rett syndrome.

Science translational medicine·2026

Same author

ClinPreAI: An Agentic AI System for Early Postpartum Depression Risk Prediction from Multimodal EHR Data.

medRxiv : the preprint server for health sciences·2025

Search research articles

Related Experiment Video

Updated: Aug 22, 2025

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

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

Published on: July 6, 2022

Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially

Linhua Wang¹, Mirjana Maletic-Savatic^2,3, Zhandong Liu^4,5

¹Graduate School of Biomedical Sciences, Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, USA.

Nature Communications

|November 14, 2022

Summary

We developed MIST, a computational tool for analyzing spatial transcriptomics data. MIST detects molecular regions and imputes missing gene expression values, improving the analysis of tissue transcriptional information.

More Related Videos

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

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

Published on: May 3, 2024

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

Related Experiment Videos

Last Updated: Aug 22, 2025

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

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

Published on: July 6, 2022

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

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

Published on: May 3, 2024

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Spatially resolved transcriptomics maps gene expression within tissues.
Analysis is challenging due to sparse data and lack of region annotation tools.

Purpose of the Study:

Develop a computational tool, MIST (Missing value Imputation for Spatially Transcriptomics).
Enable in silico detection and annotation of molecular regions in spatial transcriptomics data.

Main Methods:

MIST detects molecular regions and performs region-based imputation.
Validated against 10x Visium datasets and histological annotations.
Benchmarked against spatial k-nearest neighbors and scRNA-seq imputation methods.

Main Results:

MIST accurately recovers missing values in spatial transcriptomics.
Identifies intra-tissue heterogeneity and spatial gene-gene co-expression signals.
Provides unbiased region detection and denoised gene expression profiles.

Conclusions:

MIST facilitates accurate analysis of spatial transcriptomics data.
Enables improved annotation and functional analysis of tissue regions.
Enhances understanding of tissue heterogeneity and gene expression patterns.