The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
The RNA-binding protein landscapes differ between mammalian organs and cultured cells.
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Feb 2022 – Jul 2023Where it's discussed
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The collective discussions underscore the importance of the study by referencing its use of innovative methods like eRIC and highlighting findings such as organ-specific RNA-binding profiles; the tone emphasizes the groundbreaking nature of the research and its implications for understanding metabolism and gene regulation.
All discussions strongly support the significance of the findings, highlighting the novelty and relevance of the research.
The discussions demonstrate high curiosity, emphasizing the technological advances and biological implications of the study.
Posts delve into methodological details, mentioning resources like eRIC and specific organ differences, indicating deep engagement.
Participants recognize the potential influence on future research, especially in understanding organ-specific gene regulation and RNA-protein interactions.
Abstract in brief
- The study introduces a method called ex vivo enhanced RNA interactome capture (eRIC) to identify RNA-binding proteins in mammalian organs like brain, kidney, and liver, revealing over 1300 RBPs, including many not found in cultured cells, such as metabolic enzymes.
- RBP activity varies between different organs and is not just dependent on protein abundance, indicating organ-specific regulatory mechanisms; notably, enzymes involved in metabolism show significant RNA-binding activity.
- The findings highlight a close relationship between gene expression and metabolism, especially through enzymes that use nucleotide cofactors, and demonstrate that organ tissues have distinct RNA-binding profiles compared to cultured cells, providing a valuable resource for future research.]
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Most liked on X and BlueskyThe RNA-binding protein landscapes differ between mammalian organs and cultured cells @biorxivpreprint @HentzeTeam #RBP #metabolism #eRIC https://t.co/tR66KsmEvb
RT @biorxivpreprint: The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/ogoe594yyE
RT @biorxivpreprint: The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
RT @biorxivpreprint: The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
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Divergence in RNA-binding Proteins Between Mammalian Organs and Cultured Cells
This study introduces ex vivo enhanced RNA interactome capture (eRIC) to identify RNA-binding proteins in mammalian organs like brain, kidney, and liver, revealing over 1300 RBPs. Organ-specific regulatory mechanisms…
.@ChromoTekGmbH your resource, https://t.co/2Ec4rzZhnN, was just reported to be used in "The RNA-binding protein landscapes differ between…": https://t.co/8Sglfn5ADT (https://t.co/biilzsNCe0). Thank you for making your #methodsmatter. #RRID
The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/ogoe594yyE
The RNA-binding protein landscapes differ between mammalian organs and cultured cells @biorxivpreprint @HentzeTeam #RBP #metabolism #eRIC https://t.co/tR66KsmEvb
RT @biorxivpreprint: The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
RT @biorxivpreprint: The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
RT @biorxivpreprint: The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
RT @biorxivpreprint: The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv
The RNA-binding protein landscapes differ between mammalian organs and cultured cells https://t.co/AbtDqX6DVh #bioRxiv