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This review highlights advances in whole-organism cell atlases for understanding cell types and states. It proposes a scalable knowledgebase and user-driven feedback loop to advance single-cell biology research.

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cell atlascell phenotype knowledgebasecrowdsourcing annotationsopen source methodssingle-cell data analysissingle-cell transcriptomics

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Area of Science:

  • Single-cell biology
  • Genomics
  • Systems biology

Background:

  • Cell atlases complement genomic data by revealing cell type-specific gene usage and its changes over time.
  • Understanding cellular heterogeneity, tissue development, and cell fate in health and disease is crucial.

Purpose of the Study:

  • To review recent advancements in whole-organism single-cell atlases across diverse species.
  • To discuss current challenges in the field of cell atlas construction.
  • To propose a scalable knowledgebase and a community-driven feedback loop for computational method development.

Main Methods:

  • Review of recent literature on single-cell atlas projects.
  • Analysis of current computational approaches and challenges in single-cell data integration.
  • Conceptual proposal for a knowledgebase and benchmarking framework.

Main Results:

  • Recent progress in building comprehensive cell atlases across various organisms.
  • Identification of key challenges including data integration, standardization, and scalability.
  • Proposal for a novel framework to foster collaborative development and validation of computational tools.

Conclusions:

  • Whole-organism cell atlases are vital for dissecting biological complexity at single-cell resolution.
  • A scalable knowledgebase and a user-feedback loop are essential for community-driven progress in single-cell biology.
  • These initiatives will accelerate the creation of detailed, annotated maps of cell types and states.