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iSMOD: an integrative browser for image-based single-cell multi-omics data.

Weihang Zhang1, Jinli Suo1,2,3, Yan Yan4,5

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|July 13, 2023
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Summary
This summary is machine-generated.

Researchers developed iSMOD, an image-based Single-cell Multi-omics Database, to integrate genomic, transcriptomic, and proteomic data. This tool aids in understanding gene regulation and molecular mechanisms within the cell nucleus.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Proteomics
  • Cell Biology

Background:

  • Gene regulation is complex, involving spatial organization of chromatin, mRNA, and proteins.
  • Existing methods for analyzing image-based multi-omics data are insufficient.
  • Understanding nuclear protein and nucleic acid interactions is crucial for elucidating cellular mechanisms.

Purpose of the Study:

  • To develop the first integrative browser, iSMOD (image-based Single-cell Multi-omics Database), for collecting and browsing multi-omics data.
  • To consolidate genomic (DNA FISH), transcriptomic (RNA FISH), and nuclear proteomics data from published literature.
  • To provide a platform for exploring gene regulation and molecular pathways in the cell nucleus.

Main Methods:

  • Data collection from 20,000+ published papers, focusing on title, abstract, and experimental figures.
  • Integration of DNA FISH, RNA FISH, and nucleus proteomics data.
  • Development of iSMOD as an accessible database and browsing tool.
  • Demonstration of iSMOD applications using exemplar case studies.

Main Results:

  • iSMOD successfully integrates diverse image-based multi-omics data, including FISH and nuclear proteomics.
  • The database provides a searchable collection of multi-omics studies related to nuclear components.
  • Exemplar demonstrations showcase iSMOD's utility in disease target identification and mechanism exploration.
  • 3D multi-omics data integration within a virtual cell nucleus is demonstrated.

Conclusions:

  • iSMOD serves as a foundational resource for a comprehensive view of nuclear multi-omics research.
  • The database facilitates the integration of scattered data, revealing insights into molecular pathway mechanisms.
  • iSMOD enhances scientific research efficiency by providing a unified platform for multi-omics data analysis.
  • This resource supports the discovery of missing components in molecular pathways and aids in disease research.