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

Improving Translational Accuracy

Improving Translational Accuracy

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

Mismatch Repair

Mismatch Repair

You might also read

Related Articles

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

Sort by

Same author

ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images.

GigaScience·2026

Same author

Deciphering small sequence differences in T cell receptor-antigen pairing.

Nature communications·2026

Same author

MicNet: integrating spatially resolved transcriptomes and pathology images by contrastive deep neural network.

Genome biology·2026

Same author

Profiling adaptive immunity: A quantitative framework for immune repertoire dynamics and clinical diagnostics.

Fundamental research·2026

Same author

Sex differences in the peripheral determinants of oxygen transport and utilization in patients with heart failure with preserved ejection fraction.

American journal of physiology. Heart and circulatory physiology·2026

Same author

Computational identification of migrating T cells in spatial transcriptomics data.

JCI insight·2026

Search research articles

Related Experiment Video

Updated: Jan 7, 2026

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Published on: September 13, 2018

MisTIC: Missegmented Transcript Inference Correction for Improved Spatial Transcriptomics Analysis.

Yuqiu Yang¹, Erica DePasquale^2,3, David Adeleke²

¹Quantitative Biomedical Research Center, Department of Health Data Science and Biostatistics, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390.

Biorxiv : the Preprint Server for Biology

|December 25, 2025

Summary

This summary is machine-generated.

MisTIC corrects transcript misassignment errors in spatially resolved transcriptomics (SRT) data without resegmentation. This improves cell type identification, differential expression, and RNA localization analyses for deeper biological insights.

More Related Videos

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 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

Related Experiment Videos

Last Updated: Jan 7, 2026

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Published on: September 13, 2018

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 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

Area of Science:

Single-cell biology
Genomics
Bioinformatics

Background:

Spatially resolved transcriptomics (SRT) enables gene expression studies within tissue context at single-cell resolution.
Cell segmentation in SRT data is prone to errors, causing transcript misassignment.
Transcript misassignments negatively impact downstream analyses like cell type identification and communication.

Purpose of the Study:

To introduce MisTIC (Missegmented Transcript Inference Correction), a novel computational model.
To correct transcript misassignment errors in SRT data without requiring data resegmentation.
To enhance the accuracy of various downstream analyses in SRT.

Main Methods:

Development of a variational Bayesian model (MisTIC).
Benchmarking using synthetic data with simulated transcript misassignment.
Application to real SRT datasets for validation.

Main Results:

MisTIC demonstrated high sensitivity and specificity in correcting misassigned transcripts on synthetic data.
Real data application showed improved cell type identification, reduced ambiguity in differential expression, and enhanced cell-cell communication detection.
Analysis revealed distinct cytoplasmic gene expression patterns in T cells near cancer-associated fibroblasts.

Conclusions:

MisTIC is an effective tool for correcting transcript misassignment in SRT data.
The model improves the accuracy of standard SRT analyses.
MisTIC facilitates novel investigations into gene expression dynamics and spatial biology.