Add BrightSurf on Google Email

Shedding light on how bacteria assemble outer membrane proteins

A team of researchers has shed light on the mechanism of outer membrane protein assembly in bacteria, revealing key conformational changes made by a chaperone protein. The study's findings may help identify new targets for antibacterial agents and improve our understanding of Gram-negative bacteria's resistance to antibiotics.

SourceNara Institute of Science and Technology·JournalNature Communications·TypeExperimental study·DateSep 4, 2026

Bringing lost proteins back home

Scientists at Stanford University have developed a new method to relocalize misplaced proteins in cells, which could lead to therapeutic treatments for diseases. The team created a class of molecules called TRAMs that convince natural shuttles to take cargo like proteins to different parts of the cell.

SourceStanford University·JournalNature·DateSep 20, 2024

Discovered a RNA molecule that helps prevent DNA replication errors

A long non-coding RNA called lncREST has been identified as a crucial component of the stress response during DNA replication. Its absence leads to impaired stress signalling, resulting in severe DNA defects and cell death. The discovery opens up new avenues for developing anti-tumour therapies.

SourceCentro de Investigación Médica Aplicada (CIMA) Universidad de Navarra·JournalNature Communications·TypeNews article·DateMar 4, 2024

Scientists Reveal new mechanism for dynamic regulation of manchette microtubules during sperm development

A recent study reveals that CAMSAP1 plays a crucial role in regulating the structure and dynamics of manchette microtubule minus-ends, impacting male fertility during spermiogenesis. The absence of CAMSAP1 leads to abnormal sperm development, including reduced sperm quantity, decreased motility, and male infertility.

SourceChinese Academy of Sciences Headquarters·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateNov 5, 2023

AI knows where your proteins go

Researchers from Nara Institute of Science and Technology developed a machine learning program that accurately predicts the location of proteins related to actin in cells. The program achieved a high degree of similarity with actual images, showing promise for future applications in cell analysis and artificial cell staining.

SourceNara Institute of Science and Technology·JournalFrontiers in Cell and Developmental Biology·DateAug 5, 2021