Results 161 to 170 of about 44,285 (229)

Identification of a Nonribosomal Peptide Analog With Activity Against Multiple Gram‐Positive Bacteria via a Synthetic Bioinformatic Natural Product Discovery Approach

Advanced Science, EarlyView.
The genome of Rhodococcus erythropolis D‐1 was analyzed by bioinformatic tools to mine a novel nonribosomal peptide synthetase (NRPS) gene cluster. A nonribosomal peptide analog ZURJC5 associated with the NRPS was chemically synthesized. Through structure‐activity relationship studies, ZURJC28 was ultimately obtained and showed antibacterial activity ...
Keyi Chen, Jiayi Liang, Yujia Wu, Jianan Xu, Yi Liu, Wenguang Wang, Xinhang Jiang, Benjie Gao, Yueyue Wang, Hui Jiang   +9 more
wiley   +1 more source

A Biomimetic Dual‐Targeting Nano‐APA‐Editor Reprograms the 3'UTR Landscape for Tongue Squamous Cell Carcinoma Therapy

Advanced Science, EarlyView.
This study unveils a pathogenic axis in oral cancer where NUDT21 suppresses a tumor suppressor network, prominently PTEN, via 3'UTR lengthening. To exploit this transcriptomic vulnerability, we developed a biomimetic Nano‐APA‐editor. By delivering CRISPR/Cas9, we reprogrammed the global 3'UTR landscape, restoring multi‐target tumor suppression and ...
Yiran Ao, Bin Gu, Hui Zhao, Kun Tan, Qin Zhao, Zhengjun Shang   +5 more
wiley   +1 more source

Molecular cytopathology: The future of pathology? [PDF]

Cytojournal
Wei S.
europepmc   +1 more source

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

Advanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang, Qinyang Jiang, Junjie Ma, Jianwei Zou, Fan Wang, Feifei Lv, Yanna Huang, Yongcheng Wang, Ziye Xu   +8 more
wiley   +1 more source

From concept to clinic: emerging paradigms and novel insights into liquid biopsy. [PDF]

Cancer Biol Med
Guo W, Liu Y, Dong H, Li X, Guo X, Guo H, Zhou K, Xing J.   +7 more
europepmc   +1 more source

Translational Gap in Biomarker Discovery: Tumor Surface Markers Rarely Mirror Circulating Levels

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Tumor‐associated cell surface proteins are frequently proposed as circulating biomarkers for colorectal cancer (CRC) based on their high tumor expression. However, many candidates identified through tissue‐based analyses fail to translate into clinically useful biomarkers.
Junko Mukohyama, Shohei F. Fujita, Xinyi Fu, Shigenori Suzuki, Hiroki Hamamoto, Dai Shida, Kimihiro Yamashita, Kohei Taniguchi, Sang‐Woong Lee, Akihide Yoshimi   +9 more
wiley   +1 more source

Dual-Caspase-Mediated Apoptosis Underlies Peritoneal Cell-Free DNA Release After PD-Related Peritonitis. [PDF]

Genes (Basel)
Virzì GM, Milan Manani S, Marcello M, Porrovecchio A, Ronco C, Zanella M.   +5 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Nucleic Acids on the Surface and Lumen of Tumor-Derived Small Extracellular Vesicles as Potential Cancer Biomarkers. [PDF]

Cells
Gluszko A, Kania D, Hong CS, Pietrowska M, Conway JF, Whiteside TL.   +5 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source