Two genetic codes were made to work simultaneously in cell-free experiments.
The team used two populations of transfer RNAs and matching ribosomes that interact only with one another.
The system can translate a single messenger RNA into two different proteins without disrupting the standard code.
The research addresses a major obstacle because altering the standard genetic code is normally extremely difficult.
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The available reporting agrees that a research group led by George Church developed a way for two genetic codes to function side by side. It also agrees that the demonstration used cell-free experiments and did not disturb the standard code.
What remains limited is how broadly the method can be applied beyond the reported experiments, since the available source details stay at the proof-of-concept stage. One source page offers no scientific reporting because it shows only an access message.
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The coverage presents the work as a notable step forward for protein engineering and genetic code design. It stresses that the researchers built exclusive RNA and ribosome pairs to keep the two systems separate. The summary says the method can translate one messenger RNA into two different proteins in cell-free experiments. It frames the result as a way around a long-standing difficulty in changing the standard genetic code.
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Harvard Medical School
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Ars Technica reports that a research group led by synthetic biologist George Church has developed a method to operate two separate genetic codes simultaneously. The article explains that altering the standard genetic code is normally extremely difficult because every gene in a cell depends on it. To overcome this, the researchers created two populations of transfer RNAs and corresponding ribosomes that interact exclusively with one another. Using cell-free experiments, they demonstrated that these separate systems can translate a single messenger RNA into two different proteins without disrupting the standard code.
Harvard Medical School published an article page that currently displays an automated bot-detection security message. The text prompts the visitor to ensure that cookies and JavaScript are enabled in order to regain access to the intended content. The page does not provide any reporting on genetic engineering or scientific research due to this loading interruption.