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New AI tool developed by Stowers Institute and Helmholtz Munich scientists predicts how cells choose their future — helping uncover hidden drivers of development

Researchers developed RegVelo, an AI framework that models cellular dynamics and gene regulation to predict cellular fate decisions. The model traces developmental trajectories and simulates regulatory interactions, providing insights into hidden drivers of development and potential therapeutic targets.

SourceStowers Institute for Medical Research·JournalCell·DateMay 11, 2026

Opposing forces in cells could hold clues to treating disease

Researchers found that two proteins in the CCR4-NOT complex have opposing roles in controlling genetic messages, with one destabilizing and the other steadying mRNA. This balance is critical to gene regulation and understanding cellular differentiation, adaptation to environmental stimuli, and disease mechanisms.

SourcePenn State·JournalJournal of Biological Chemistry·DateDec 16, 2025

Uncovering the structural and regulatory mechanisms underlying translation arrest

Two previously unknown ribosome-arresting peptides (RAPs), PepNL and NanCL, were identified in E. coli, inducing translation arrest through a unique mini-hairpin conformation in the exit tunnel of the ribosome. This discovery provides valuable insights into deciphering the hidden genetic codes within polypeptide sequences.

SourceOkayama University·JournalNature Communications·TypeExperimental study·DateApr 18, 2025

Role of hydrogen sulfide in the expression of iron uptake genes in escherichia coli

In this study, researchers from Tokyo Institute of Technology found that hydrogen sulfide-dependent transcription factor YgaV regulates iron uptake dynamics in Escherichia coli. The team observed elevated intracellular H2S levels resulting in increased antibiotic resistance and upregulated genes involved in sulfur metabolism.

SourceTokyo Institute of Technology·JournalmBio·TypeExperimental study·DateSep 27, 2024
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