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Related Concept Videos

Improving Translational Accuracy02:07

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...
Improving Translational Accuracy02:07

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...
Horizontal Gene Transfer01:27

Horizontal Gene Transfer

Horizontal gene transfer (HGT) is a process where genetic material moves between organisms within the same generation, unlike vertical gene transfer, which occurs from parent to offspring. HGT plays a crucial role in microbial evolution, adaptation, and survival, particularly in shared environments like the human gut.Mobile genetic elements such as plasmids, prophages, integrons, insertion sequences, and transposons facilitate this process. HGT occurs through three primary mechanisms:...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Overview of Transposition and Recombination02:13

Overview of Transposition and Recombination

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...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: Jun 21, 2026

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

GenOT: generative optimal transport enables spatiotemporal interpolation and generation in cross-platform spatial

Rui Wang1, Xinxin Liu1, Linlin Zhuo2

  • 1School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, 325000, China.

Genome Biology
|June 19, 2026
PubMed
Summary

GenOT, a new framework, improves spatial transcriptomics by using optimal transport to reconstruct gene expression dynamics across different samples and platforms. This enhances spatial domain identification and developmental trajectory analysis.

Keywords:
BarycenterFused Gromov-Wasserstein distanceGraph neural networksOptimal transportSpatial transcriptomicsSpatiotemporal interpolation

Related Experiment Videos

Last Updated: Jun 21, 2026

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Area of Science:

  • Computational Biology
  • Genomics
  • Bioinformatics

Background:

  • Spatial transcriptomics enables gene expression analysis within tissue context.
  • Integrating and interpolating data across heterogeneous samples and platforms remains a significant challenge.

Purpose of the Study:

  • To develop a novel generative framework, GenOT, for efficient spatiotemporal interpolation of spatial transcriptomics data.
  • To address challenges in cross-slice and cross-platform data integration and reconstruction of gene expression dynamics.

Main Methods:

  • GenOT combines multi-scale graph self-supervised contrastive learning with optimal transport barycenter theory.
  • An optimal transport barycenter-based interpolation algorithm models spatial distribution differences for reconstruction.

Main Results:

  • GenOT demonstrates superior performance in spatial domain identification compared to existing methods.
  • The framework achieves state-of-the-art results in cross-platform interpolation.
  • GenOT effectively reconstructs developmental trajectories from spatial transcriptomics data.

Conclusions:

  • GenOT provides an efficient and robust solution for integrating and interpolating spatial transcriptomics data.
  • The proposed method advances the analysis of spatiotemporal gene expression dynamics in heterogeneous biological samples.