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Scaling Computation and Memory in Living Cells.

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A new era of biocomputing is emerging, mirroring the semiconductor revolution. Advanced genetic circuits, including CRISPR-based systems, now enable complex computations and memory functions within living cells, from bacteria to human cells.

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Area of Science:

  • Biotechnology
  • Synthetic Biology
  • Molecular Computing

Background:

  • The 20th-century semiconductor revolution transformed society via integrated circuits.
  • Decreasing DNA sequencing/synthesis costs and genetic circuit development are enabling a biocomputing revolution.
  • First-generation gene circuits used transcriptional elements for cellular computing.

Purpose of the Study:

  • To summarize advances in genetic circuit engineering for cellular computation.
  • To highlight the development of more complex and scalable biocomputing systems.
  • To underscore the expanding applications of biocomputing in diverse organisms.

Main Methods:

  • Development and application of transcriptional regulatory elements for gene circuits.
  • Engineering of recombinase- and CRISPR-based gene circuits for advanced cellular logic.
  • Scaling of genetic circuits for complex computations and memory functions.

Main Results:

  • Significant progress in expanding the biological programming toolkit.
  • Successful implementation of complex cellular logic and memory using new gene circuits.
  • Demonstration of dense computing and memory circuits in various cell types, including human cells.

Conclusions:

  • Biocomputing is rapidly advancing, offering powerful new tools for cellular engineering.
  • CRISPR and recombinase-based circuits represent a major leap in biocomputing capabilities.
  • The applications of biocomputing are expanding across diverse biological systems and potential uses.