Chrysanthemum indicum var. aromaticum is a rare aromatic variant, and deciphering its molecular basis could facilitate the breeding of scented chrysanthemums. Here, we introduced its transcription factor CiMYC2 into Chrysanthemum indicum (C. indicum) to investigate the role and mechanism of CiMYC2 in regulating terpeno...
Methyl salicylate (MeSA) is a volatile methylated aromatic ester widely used in agriculture, food, and pharmaceuticals. Microbial biosynthesis offers a sustainable alternative to plant extraction and petrochemical synthesis; however, efficient MeSA production remains limited by the low catalytic efficiency of carboxyl...
Yuan Gao, Shi-Bo Guo, Jun Wu et al.· Bioresource Technology· 0 citations
trong static magnetic field (SMF) treatment represents a promising physical strategy for regulating microalgal metabolism. This study investigated the effects of SMF on growth and lipid production in Chlorella pyrenoidosa. Results showed that SMF exposure at 3T for 10 min under photoperiodic conditions was optimal, ach...
NS1-based serology revealed a markedly underestimated TBEV infection burden and may improve surveillance, identification of emerging risk areas, and targeted vaccination strategies.
P. Girl, Anne B. Schindler, J. Borde et al.· International Journal of Inf...· 0 citations
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It is demonstrated that NSF-based multidimensional analysis integrating PGM-based GPC3 protein detection and Septin9/RASSF1A methylation profiling provides substantial complementary diagnostic value to conventional pathology, presenting a promising strategy for precision diagnosis of liver cancer.
BACKGROUND
The study aimed to determine the profile of group B trichothecenes (TCTBs), to estimate the daily exposure to them and to evaluate the relationship with the composition of different types of sliced wheat bread. A method for simultaneous determination of the TCTBs (deoxynivalenol (DON), 3-acetyl-deoxynivaleno...
Andressa Cunha Lemos, Verônica Simões de Borba, Milena Da Silva Matsuda Valencia et al.· The Journal of the Science o...· 0 citations
It is demonstrated that serum glycopatterns combined with machine learning provided a promising objective tool for MDD diagnosis and severity assessment.
C‐type lectins are Ca2+‐dependent glycan‐binding proteins involved in immune recognition and host–pathogen interactions. Previous structural studies suggested that lanthanide ions can replace Ca2+ while preserving protein structure, raising the possibility of exploiting paramagnetic lanthanides as NMR probes for studyi...
Pablo Valverde, Paola Oquist-Phillips, Ángeles Canales et al.· ChemBioChem· 0 citations
Condensin II shapes interphase genome architecture: species that lack it tend to fold their chromosomes in a Rabl-like, type-I configuration, while species that have it form chromosome territories (type II). In the study that established this, the tardigrade Hypsibius dujardini (now H. exemplaris) was the only species...
Meow-Ludo Meow-Meow· Zenodo (CERN European Organi...· 0 citations
Viroid-like RNAs (vdlRNAs) are infectious agents characterized by single-stranded circular genomes folding into compact secondary structures, often containing self-cleaving ribozymes involved in replication. Recent metatranscriptomic studies have expanded their diversity across multiple ecological niches and revealed n...
Nadia Serale, Michela Chiumenti, Paolo Mussano et al.· bioRxiv (Cold Spring Harbor...· 0 citations
Large-scale mining of public transcriptomic datasets can reveal viral diversity that remains invisible to conventional virus-surveillance approaches, while increasingly powerful structure-prediction methods provide a complementary route to characterizing highly divergent viral proteins. Here, we combine sequence detect...
Nicolás Bejerman, David Nicolas Giuseppe Huebert, Robert A. Alvarez‐Quinto et al.· bioRxiv (Cold Spring Harbor...· 0 citations
ESMCHalo is a frozen protein-sequence predictor that combines ESMC-600M layer-36 canonical mean representations with five compact student heads trained using out-of-fold teacher targets with documented cross-fold limitations. The release provides frozen inference code, model checkpoints, calibration, a fixed threshold,...
Fang Lv, Hutao Jin, Qishuai Ma et al.· Zenodo (CERN European Organi...· 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.
