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Cellular Deconstruction: Finding Meaning in Individual Cell Variation.

James Eberwine1, Junhyong Kim2

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Cellular heterogeneity arises from many-to-one transcriptome states, influenced by molecular ratios and tissue context. This variability is crucial for system-level function and understanding disease responses.

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Genomics

Background:

  • Single-cell transcriptome analysis reveals cell-to-cell expression variability in identical cells.
  • This heterogeneity suggests a complex relationship between gene expression and cellular function.

Purpose of the Study:

  • To hypothesize that cell-to-cell transcriptome variability reflects a many-to-one mapping to cellular phenotypes.
  • To propose that molecular ratios, governed by stoichiometric constraints, underdetermine transcriptome states.
  • To explore the role of tissue context in inducing this variability and its importance for system function.

Main Methods:

  • Theoretical framework development based on single-cell transcriptome data analysis.
  • Analogy drawn from literary deconstruction to conceptualize transcriptome-phenotype relationships.
  • Definition of transcriptome phenotypes based on balanced RNA subsets within cellular systems.

Main Results:

  • Variability in transcriptome expression is a key feature of cellular systems.
  • Stoichiometric constraints on molecular ratios contribute to underdetermined transcriptome states.
  • Tissue context plays a role in inducing expression variability, impacting system-level function.

Conclusions:

  • A novel framework is proposed to define transcriptome phenotypes based on balanced RNA systems.
  • This framework aids in understanding cellular heterogeneity in response to various conditions, including disease.
  • The many-to-one relationship between transcriptome states and phenotypes offers insights into cellular adaptability.