Results 131 to 140 of about 1,084,277 (249)

Single‐Cell RNA Sequencing of Human Lung Tissues Reveals Metallothionein‐Positive T Cells as a Novel Potential Marker of Susceptibility to Chronic Obstructive Pulmonary Disease

open access: yesAdvanced Science, EarlyView.
Using single‐cell RNA sequencing of lung samples and flow cytometry of peripheral blood, we identified a novel T cell subset with high metallothionein (MT) expression. These MT‐high T cells suppress CD8+ T cell cytotoxicity and are progressively depleted from healthy controls to chronic obstructive pulmonary disease (COPD) patients, positioning them as
Zengqing Liu   +23 more
wiley   +1 more source

Cinnamic‐Hydroxamic‐Acid Derivatives Exhibit Antibiotic, Anti‐Biofilm, and Supercoiling Relaxation Properties by Targeting Bacterial Nucleoid‐Associated Protein HU

open access: yesAdvanced Science, EarlyView.
Cinnamic‐hydroxamic‐acid derivatives (CHADs) are identified as novel inhibitors of the bacterial nucleoid‐associated protein HU, exhibiting potent antibacterial, anti‐biofilm (both inhibition and eradication), and DNA relaxation (anti‐supercoiling) activities. Moreover, CHADs demonstrate strong synergistic effects with multiple antibiotics.
Huan Chen   +22 more
wiley   +1 more source

TBK1 Induces the Formation of Optineurin Filaments That Condensate with Polyubiquitin and LC3 for Cargo Sequestration

open access: yesAdvanced Science, EarlyView.
Phosphorylation of Optineurin by TBK1 induces the formation of filaments that condensate upon binding to linear polyubiquitin. Membrane‐anchored LC3 partitions into these condensates, suggesting that phase separation of filamentous Optineurin with ubiquitylated cargo promotes the sequestration of cargo and its subsequent alignment with LC3‐positive ...
Maria G. Herrera   +10 more
wiley   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

open access: yesAdvanced Science, EarlyView.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang   +11 more
wiley   +1 more source

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