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Cell
Article
Data sources: UnpayWall
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PubMed Central
Other literature type . 2021
Data sources: PubMed Central
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Cell
Article . 2021 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Persistent progress

Persistent progress

Abstract

The highly effective and safe mRNA-based severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines draw on decades of painstaking research to overcome the many hurdles for delivering, expressing, and avoiding toxicity of therapeutic mRNA. Cell editor Nicole Neuman talked with Dr. Katalin Karikó and Dr. Drew Weissman, recipients of the 2021 Lasker∼DeBakey Clinical Medical Research Award, to learn more about their quest to develop mRNA-based therapeutics, which led them to the crucial discovery that modification of mRNA could prevent toxicity and increase expression. This conversation has been adapted for print below, with editing for clarity, accuracy, and length.

Keywords

Vaccines, Synthetic, COVID-19 Vaccines, SARS-CoV-2, COVID-19, Interviews as Topic, Drug Discovery, Humans, RNA, Messenger, mRNA Vaccines, Conversations, Biotechnology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
bronze