Nature rarely joins nucleic acids to proteins covalently, yet synthetic protein-nucleic acid conjugates enable diverse applications from nanotechnology to therapeutics, which require or benefit from defined, stable, one-to-one linkages of known geometry. Here I evaluate biochemical routes to such conjugates against fou...
The platform successfully identified glycoform-specific changes and distinguished between noncancer individuals and those with stage III/IV lung cancer, establishing a high-throughput DIA-based glycoproteomics workflow suitable for large-cohort studies to discover glycopeptide biomarker candidates.
Chi-Hung Lin, S. Sawale, M. Marispini et al.· Journal of Proteome Research· 0 citations
Background: Sepsis-associated liver injury drives mortality in polymicrobial sepsis yet lacks targeted adjunctive therapy. Andrographis paniculata (Burm. f.) Nees, known in Indonesia as sambiloto, yields andrographolide, a diterpene lactone that suppresses nuclear factor kappa B (NF-κB) and activates nuclear factor ery...
Sarah Armalia, Sudarto, Khalil Jibran et al.· Eureka Herba Indonesia· 0 citations
Influenza A virus (IAV) relies on host endoplasmic reticulum (ER) homeostasis machinery to support the oxidative folding and maturation of viral glycoproteins. Although long non-coding RNAs (lncRNAs) are increasingly recognized as critical regulators of host-virus interactions, whether host lncRNAs modulate ER protein-...
Menglu Fan, Zhiyuan Liu, Lulu Deng et al.· Cell Communication and Signa...· 0 citations
Paired plasma multi-omics revealed T-DXd-associated proteomic and metabolic remodeling and the molecular patterns and PFS-associated biomarkers are hypothesis-generating and require validation in larger independent cohorts.
D. Sang, Wen-Yu Yang, Jin-Song Liu et al.· Frontiers in Oncology· 0 citations
Abstract Refractile bodies (R-bodies) are protein assemblies that form intracellular rolls and extend into spirals in response to environmental stimuli. Type 51 R-body assembles from four Reb proteins and undergoes rapid, repeatable ∼50-fold extension. Although R-bodies were described more than 70 years ago, the roles...
Koki Date, Kōsuke Kikuchi, Tatsuya Niwa et al.· Biomacromolecules· 0 citations
This fundamental study provides genetic and biochemical evidence that the Ypk1/SGK1 signaling pathway promotes protein homeostasis by controlling Ire1/IRE1 protein abundance and identifies an evolutionarily conserved Ypk1/SGK1 signaling pathway that regulates the HAC1 and XBP1 mRNA splicing by modulating the Ire1 prote...
Saswata Chakrabarty, Anish Chakraborty, J. Uppala et al.· bioRxiv· 0 citations
Nitrification is a major process in the global nitrogen cycle, initiated by the oxidation of ammonia to nitrite. The ammonia-oxidising bacterium Nitrosomonas europaea catalyses this first and rate-limiting step and depends on ammonium both as an energy substrate and as a nitrogen source, making ammonium acquisition cen...
Benjamin F. Cooper, Adriana Bizior, Reza Talandashti et al.· bioRxiv· 1 citation
ABSTRACT Probiotics interact in a mutualistic way with humans. Exposure of probiotics to sublethal concentrations of commonly prescribed antibiotics can cause resistance to arise. Over 1,000 generations, we performed an adaptive laboratory evolution experiment to determine if the fitness of the probiotic Lactiplantibac...
Bryce Pierce, Olivia Love Harrison, Brooks Floyd et al.· Microbiology Spectrum· 0 citations
Introduction Paddy soils represent key biogeochemical interfaces linking arsenic (As) transformation and carbon (C) cycling. Dimethylarsenate (DMAs), a widespread organoarsenic contaminant in rice paddies, can alter methane (CH4) dynamics, but the underlying mechanisms based on dissolved organic matter (DOM)-microbe in...
Yu-Kun Kang, Lei Jin, Ji-Yang Du et al.· Frontiers in Microbiology· 0 citations
While the peptide shows promising in vitro dual antibacterial and toxin-neutralizing capacity, its high sensitivity to proteinase K limits oral application.
En Liu, Wei-Ping Huo, Fu-Li Xu et al.· Applied Biochemistry and Bio...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.