Results 261 to 270 of about 463,135 (398)

Tubulin Isotypes: Generation Of Diversity In Cells And Microtubular Organelles [PDF]

open access: bronze, 1986
Keith Gull   +5 more
openalex   +1 more source

Organization of the Proteostasis Network of Membraneless Organelles

open access: yesAdvanced Science, EarlyView.
A comprehensive mapping of the proteostasis network (PN) across membraneless organelles (MLOs) reveals how central PN components coordinate MLO regulation. The analysis uncovers principles of specificity and promiscuity within the PN. The findings suggest that HSP70 chaperones act as generic MLO regulators, while client specific HSP70 co‐chaperones may
Christine M. Lim   +6 more
wiley   +1 more source

Mechanical Forces Guide Axon Growth through the Nigrostriatal Pathway in an Organotypic Model

open access: yesAdvanced Science, EarlyView.
Nano‐pulling is a magnetic nanoparticle‐based technology for guiding and promoting the axon growth of induced pluripotent stem cell‐derived dopaminergic neurospheres in vitro or neural progenitors transplanted in the brain tissue. Fine control of axon guidance is essential for reconstructing neural networks and restoring functional connectivity in the ...
Sara De Vincentiis   +7 more
wiley   +1 more source

A chaperonin complex regulates organelle proteostasis in malaria parasites. [PDF]

open access: yesPLoS Pathog
Tissawak A   +8 more
europepmc   +1 more source

MYC/TET3‐Regulated TMEM65 Activates OXPHOS‐SERPINB3 Pathway to Promote Progression and Cisplatin Resistance in Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
Triple‐negative breast cancer (TNBC) remains a major challenge in breast cancer management as it lacks effective therapeutic targets. This study uncovers that MYC/TET3‐regulated mitochondrial inner‐membrane protein TMEM65 promotes TNBC progression and cisplatin resistance by activating the OXPHOS‐SERPINB3 pathway and reveals TMEM65 as a potential ...
Yin‐Ling Zhang   +10 more
wiley   +1 more source

MALMPS: A Machine Learning‐Based Metabolic Gene Prognostic Signature for Stratifying Clinical Outcomes and Molecular Heterogeneity in Stage II/III Colorectal Cancer

open access: yesAdvanced Science, EarlyView.
Chen et al. identified a metabolic gene prognostic signature with machine‐learning framework and assessed the prognostic value in independent CRC cohorts. The metabolic signature subtypes are characterized by specific metabolic and proteomic characteristics, and associated with distinct molecular pathway and therapeutic potential.
Hao Chen   +12 more
wiley   +1 more source

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