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Related Concept Videos

Experimental RNAi02:15

Experimental RNAi

RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
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RNA Interference01:23

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RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
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Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
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Engineering RNAi circuits.

Yaakov Benenson1

  • 1Department of Biosystems Science and Engineering, Swiss Federal Institute of Technology (ETH Zurich), Mattenstrasse 26, Basel, Switzerland.

Methods in Enzymology
|May 24, 2011
PubMed
Summary
This summary is machine-generated.

Researchers engineered biological networks for novel responses using RNA interference (RNAi). This study details methods for designing the computational module, focusing on creating large small RNA (sRNA) sets for complex signal processing in mammalian cells.

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Area of Science:

  • Synthetic biology
  • Molecular and cellular biology
  • Bioengineering

Background:

  • Endogenous regulatory pathways can be generalized into engineered biological networks.
  • These networks aim to produce novel biological responses through programmed processing of molecular signals.
  • RNA interference (RNAi) offers a regulatory mechanism for constructing complex signal processing networks.

Purpose of the Study:

  • To describe experimental methods for constructing engineered biological circuits.
  • To focus on the design and implementation of the computational module within these circuits.
  • To emphasize the creation of extensive small RNA (sRNA) sets essential for circuit function.

Main Methods:

  • Utilizing a modular circuit design with sensory, computational, and actuation modules.
  • Transducing diverse molecular signals into RNAi-compatible effectors (e.g., small interfering RNA, microRNA) in the sensory module.
  • Designing and assembling large sets of small RNA (sRNA) effectors for convergence in the computational module.

Main Results:

  • Development of a systematic approach for constructing complex signal processing networks in mammalian cells.
  • Demonstration of RNAi as a viable mechanism for biological computation.
  • Establishment of methods for generating the large sRNA libraries required for sophisticated computational modules.

Conclusions:

  • Engineered biological networks offer a powerful platform for novel biological functions.
  • The described methods facilitate the construction of complex, modular biological circuits.
  • Advances in sRNA set design are crucial for realizing the potential of biological computing.