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Related Experiment Video

Updated: May 10, 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

Tracking time and space: A new integrative approach in spatiotemporal transcriptomics.

Suijuan Zhong1, Qian Wu1, Xiaoqun Wang2

  • 1IDG/McGovern Institute for Brain Research, New Cornerstone Science Laboratory, Beijing Normal University, Beijing 100875, China.

Cell Stem Cell
|May 8, 2026
PubMed
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Researchers developed SPTEdU-seq, a new method combining spatial transcriptomics and EdU labeling. This technique tracks cell states and proliferation over time, aiding the study of complex biological processes.

Area of Science:

  • Molecular Biology
  • Developmental Biology
  • Genomics

Background:

  • Understanding spatiotemporal cell dynamics is crucial for fields like developmental biology and cancer research.
  • Existing methods often struggle to simultaneously capture both spatial information and cellular proliferation history.

Purpose of the Study:

  • To introduce and validate SPTEdU-seq, a novel technique for joint analysis of spatial transcriptomics and cell proliferation.
  • To provide a framework for resolving complex spatiotemporal cell dynamics.

Main Methods:

  • Integration of spatial transcriptomics with 5-ethynyl-2'-deoxyuridine (EdU)-based temporal labeling.
  • Development of a strategy to capture both transcriptional states and proliferative history within a spatial context.

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

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Last Updated: May 10, 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

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Main Results:

  • SPTEdU-seq successfully captures both spatial transcriptional states and proliferative history.
  • The method offers a robust framework for analyzing cell dynamics across different biological contexts.

Conclusions:

  • SPTEdU-seq represents a significant advancement in studying cellular dynamics.
  • This technique has broad applications in development, regeneration, and cancer research.