Results 151 to 160 of about 271,712 (303)
MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple ...
Brazma, Alvis +10 more
openaire +1 more source
Multi‐Targeting Non‐Specific Genome Engineering in Bacteria
In this study, we provide the first case to use the multi‐targeting integrase (MTI) systems in bacteria and develop a host‐independent generalizable approach, MNGE (Multi‐targeting Non‐specific Genome Engineering), for multi‐copy and random integration of metabolic genes or pathways in both Gram‐positive and Gram‐negative bacteria, which will ...
Runze Sun +7 more
wiley +1 more source
Introduction In April 2019, French authorities mandated dihydropyrimidine dehydrogenase (DPD) screening, specifically testing uracilemia, to mitigate the risk of toxicity associated with fluoropyrimidine‐based chemotherapy. However, this subject is still
Côme De Metz +7 more
doaj +1 more source
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans +8 more
wiley +1 more source
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling +17 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Leveraging 3D bioprinting, this study establishes patient‐derived in vitro models of intrahepatic cholangiocarcinoma. These models faithfully recapitulate the histopathology, molecular profiles, and genomic characteristics of the original patient tumors.
Yuce Lu +23 more
wiley +1 more source
This study reveals circRSU1 with important oncogenic roles in hepatocellular carcinoma (HCC). CircRSU1, highly abundant in HCC, interacts with and stabilizes hnRNPA1 from ubiquitination and degradation. This stabilization facilitates hnRNPA1 binding to the internal ribosome entry site of HIF1A to increase HIF‐1α protein translation.
Shuting Xue +14 more
wiley +1 more source
ARTP mutagenesis yielded Saccharopolyspora spinosa mutant D184 with improved extracellular nitrogen utilization. An integrated workflow of protease genetic manipulation, multi‐omics, and rational synergy design pinpointed a pepP‐clpP‐htpX synergistic triangular combination.
Duo Jin +9 more
wiley +1 more source

