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Potentials of single-cell genomics in deciphering cellular phenotypes.

Abbas Shojaee1, Michelle Saavedra1, Shao-Shan Carol Huang1

  • 1Center for Genomics and Systems Biology, Department of Biology, New York University, 12 Waverly Pl, New York, NY 10003, United States.

Current Opinion in Plant Biology
|June 11, 2021
PubMed
Summary

Single-cell RNA sequencing reveals how gene expression changes drive plant cell development and responses. This technology helps understand cellular phenotypes and causal relationships in biological processes.

Keywords:
Causal inferenceChromatin accessibilityExpression wavesMulti-omicsPlant biologyPseudotimeRNA sequencingSingle cellSpatial transcriptomics

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Area of Science:

  • Plant biology
  • Genomics
  • Cellular biology

Background:

  • Single-cell genomics, especially RNA sequencing, revolutionizes understanding gene-to-phenotype relationships.
  • Current methods allow detailed observation of individual cell transcriptomes and their interactions.

Purpose of the Study:

  • To review recent single-cell studies in plants.
  • To highlight how cellular phenotypes emerge from transcriptome dynamics.
  • To identify future research directions.

Main Methods:

  • Review of single-cell RNA sequencing studies in plants.
  • Analysis of gene expression patterns, developmental trajectories, and environmental responses.
  • Comparison with advances in animal and human single-cell studies.

Main Results:

  • Single-cell RNA sequencing elucidates the emergence of cellular phenotypes through expression waves, developmental trajectories, and environmental responses.
  • Spatial information is crucial for understanding cellular phenotypes.
  • Causal relationships in biological events can be inferred with high accuracy.

Conclusions:

  • Single-cell genomics provides powerful insights into plant cellular phenotypes.
  • Further development in computational methods is needed for advancing the field.
  • This approach offers a paradigm shift in biological research.