Unknown

Dataset Information

0

ParAlleL: A Novel Population-Based Approach to Biological Logic Gates.


ABSTRACT: In vivo logic gates have proven difficult to combine into larger devices. Our cell-based logic system, ParAlleL, decomposes a large circuit into a collection of small subcircuits working in parallel, each subcircuit responding to a different combination of inputs. A final global output is then generated by a combination of the responses. Using ParAlleL, for the first time a completely functional 3-bit full adder and full subtractor were generated using Escherichia coli cells, as well as a calculator-style display that shows a numeric result, from 0 to 7, when the proper 3 bit binary inputs are introduced into the system. ParAlleL demonstrates the use of a parallel approach for the design of cell-based logic gates that facilitates the generation and analysis of complex processes, without the need for complex genetic engineering.

SUBMITTER: Millacura FA 

PROVIDER: S-EPMC6437039 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

altmetric image

Publications

ParAlleL: A Novel Population-Based Approach to Biological Logic Gates.

Millacura Felipe A FA   Largey Brendan B   French Christopher E CE  

Frontiers in bioengineering and biotechnology 20190321


<i>In vivo</i> logic gates have proven difficult to combine into larger devices. Our cell-based logic system, ParAlleL, decomposes a large circuit into a collection of small subcircuits working in parallel, each subcircuit responding to a different combination of inputs. A final global output is then generated by a combination of the responses. Using ParAlleL, for the first time a completely functional 3-bit full adder and full subtractor were generated using <i>Escherichia coli</i> cells, as we  ...[more]

Similar Datasets

| S-EPMC7700249 | biostudies-literature
| S-EPMC7283233 | biostudies-literature
| S-EPMC8453245 | biostudies-literature
| S-EPMC5508975 | biostudies-literature
| S-EPMC6063535 | biostudies-literature
| S-EPMC7046787 | biostudies-literature
| S-EPMC3535638 | biostudies-literature
| S-EPMC7016178 | biostudies-literature
| S-EPMC7607436 | biostudies-literature
| S-EPMC7080509 | biostudies-literature