Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
[This corrects the article DOI: 10.3389/fpls.2025.1518924.].
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344519 | PMC |
| http://dx.doi.org/10.3389/fpls.2025.1668927 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Pre-diagnostic plasma proteomics profile uncovers new biomarkers and mechanistic insights for incident kidney cancer.
Int J Surg
September 2025
Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: The pathophysiological changes driving incident kidney cancer remain unclear. This study aimed to identify protein biomarkers and underlying mechanisms using pre-diagnostic plasma proteomics.
Materials And Methods: Among 48,851 UK Biobank participants, 165 were diagnosed with kidney cancer, and 2,911 plasma proteins were analyzed.
Optimizing protein folding in prokaryotes: Strategies to enhance soluble expression of recombinant proteins.
Bioresour Technol
September 2025
State Key Laboratory of Food Science and Resources, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China; School of Biotechnology and Key Laboratory of Industrial Biotechnology Ministry of Education, Jiangnan University, 1800 Lihu Avenue, Wuxi 214122, China; International Joint Laboratory on Fo
Recombinant proteins have been widely applied in the food, biomedical, and scientific fields. Prokaryotic expression systems are preferred platforms for recombinant protein production due to their rapid growth and high protein yields. Nevertheless, disparities between recombinant expression environment and native physiological conditions frequently result in protein misfolding, leading to aggregation into non-functional inclusion bodies or proteolytic degradation.
View Article and Find Full Text PDFMachine learning-based identification of a transcriptomic blood signature discriminating between systemic autoimmunity and infection.
Med
August 2025
Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; Centre of New Biotechnologies and Precision Medicine (CNBPM), School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece. Electronic address: p
Background: Pathogenic responses against self and foreign antigens in systemic autoimmunity and infection, respectively, engage similar immunologic components, thus lacking distinguishing diagnostic biomarkers. Herein, we tested whether whole-blood transcriptome analysis discriminates autoimmune from infectious diseases.
Methods: We applied nested cross-validation methodology to tune and validate random forests, k-nearest neighbors, and support vector machines, using a new preprocessing method on 22 publicly available datasets, including 594 patients with a broad spectrum of systemic autoimmune diseases and 615 patients with diverse viral, bacterial, and parasitic infections.
FGF9-FGFR2 Signaling via Osteocytes-Preosteoblasts Crosstalks to Mediate Mechanotransduction-Driven Intramembranous Osteogenesis in the Underdeveloped Maxilla.
Adv Sci (Weinh)
September 2025
Department of Orthodontics, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, 30 Zhongyang Road, Nanjing, Jiangsu, 210008, China.
Maxillary underdevelopment is a critical component of skeletal Class III malocclusion, closely linked to altered biomechanical signaling. Mechanical stimulation through early facemask protraction can effectively promote maxillary growth, yet the underlying mechanotransduction mechanisms remain unclear. In this study, fibroblast growth factor 9 (FGF9) is identified as a key biomechanical responder in maxillary development.
View Article and Find Full Text PDF