Results 101 to 110 of about 8,552 (263)

CREAT: A CRISPR‐Based Genome Trimming Strategy for Systematic Identification of Dispensable Regions and Rapid Genome Reduction

Advanced Science, EarlyView.
Current genome‐reduction methods work in a trial‐and‐error fashion, constituting a long‐standing bottleneck in the research. We developed CREAT (CRISPR‐based genome trimming with a multi‐homology‐arm template), a CRISPR‐based genetic approach that enables systematically classifying essential versus non‐essential genomic regions and subsequently ...
Guanhua Yuan, Zhe Gao, Yingxuan Qi, Yang Zhang, Xuhui Tian, Pengpeng Zhao, Xu Feng, Qunxin She   +7 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +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

Natural Variation of COLD and CATECHINS REGULATOR 1 Coordinately Fine‐Tunes Cold Tolerance and Tea Quality in Tea Plants

Advanced Science, EarlyView.
Multi‐trait genome‐wide association mapping identifies a central hub regulator, COLD AND CATECHINS REGULATOR 1 (CCR1), and its excellent natural allele variation, coordinately enhancing cold tolerance and promoting catechins biosyntheis. CsCCR1 interacts with CsCBF1/3 and is transcriptionally activated by CsLUX and CsKUA1 to promote catechins ...
Yanli Wang, Wei Tong, Qiong Wu, Didi Wu, Yanrui Zhang, Qijuan Gao, Fangdong Li, Zhaoliang Zhang, Wenjie Wang, Chuankui Song, Enhua Xia   +10 more
wiley   +1 more source

Students’ perspectives on their early dropout of medical school

Journal of Education and Health Promotion
BACKGROUND: Enrolling in medical school launches a more demanding and stressful way of life for newly admitted students. Some students will struggle academically and will ultimately drop out from medical school. The study aims to understand the perspectives that dropped-out students have and their opinion regarding possible ...
Ashraf F. Hefny, Alia Albawardi, Moien AB Khan, Mai A. Fathi, Nirmin A. Mansour   +4 more
openaire   +3 more sources

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature

Advanced Science, EarlyView.
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo, Yangyang Zhang, Yongcheng Jin, Siwei Deng, Yongqi Chen, Zheng Feng, Hao Wen, Liu Wang, Yilin Li, Fanghong Ou, Yong Shen, Haiming Li, Tianyao Zhou, Xingzhu Ju, Xiaohua Wu   +14 more
wiley   +1 more source

MEDICAL STUDENTS DROPOUT PREDICTORS

Medical Education and Professional Development, 2022
A.O. Mescheryakov, N.A. Bayanova, E.A. Kalinina, V.A. Denisov   +3 more
openaire   +1 more source

Matrix Stiffness Induces Endothelial Network Senescence

Advanced Science, EarlyView.
Using a 3D human in vitro model that decouples mechanical stress from inflammatory or biochemical signals, matrix stiffening induces a senescence phenotype in endothelial networks. This mechano‐induced senescence activates Notch signaling, and pharmacologic Notch inhibition attenuates this stiffness‐induced senescence.
Jiyeon Song, Alexandra N. Rindone, Ya Guan, Connor D. Amelung, Prarthana Sanjay Daswani, Jennifer H. Elisseeff, Sharon Gerecht   +6 more
wiley   +1 more source

Innovative Machine Learning Approach for Forecasting Student Performance in Degree Programs: A Case Study Using Naive Bayes Classification

Journal of Applied Science and Engineering
It has become one of the prime focus areas in the academic world, starting from schools to higher educational institutions, that deal with student academic performance predictions for the establishment of effective policies aimed at upraising academic ...
Nana Wang
doaj   +1 more source