Results 91 to 100 of about 321,930 (219)

A novel framework for elucidating the effect of mechanical loading on the geometry of ovariectomized mouse tibiae using principal component analysis

Frontiers in Bioengineering and Biotechnology
IntroductionMurine models are used to test the effect of anti-osteoporosis treatments as they replicate some of the bone phenotypes observed in osteoporotic (OP) patients.
Stamatina Moraiti, Stamatina Moraiti, Vee San Cheong, Vee San Cheong, Vee San Cheong, Enrico Dall’Ara, Enrico Dall’Ara, Visakan Kadirkamanathan, Visakan Kadirkamanathan, Pinaki Bhattacharya, Pinaki Bhattacharya   +10 more
doaj   +1 more source

Charting Endocrine Progenitors Across Species and Organs

Advanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing, Michael Sterr, Özüm Sehnaz Caliskan, Lama Saber, Nicole Katarina Rogers, Samuel Ogden, Kei Kozawa, Christos Karampelias, Jessica Jaki, Aimée Bastidas‐Ponce, Falk Janos Farkas, Oliver Czarnecki, Osvaldo Rodrigues Pereira, Perla Cota, Valerie Vandenbempt, Diego Balboa, Anika Böttcher, Natalie Krahmer, Mohammad Lotfollahi, Julie B. Sneddon, Heiko Lickert, Mostafa Bakhti   +21 more
wiley   +1 more source

The Mind From Within: Visceral Roots of Human Cognition

Advanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti, Salvatore Maria Aglioti   +1 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Design and Engineering of an Artificial Bifunctional N‐Deacetylase/N‐Sulfotransferase for the Biosynthesis of N‐Sulfated Heparosan

Advanced Science, EarlyView.
An artificial bifunctional N‐deacetylase/N‐sulfotransferase was engineered in Escherichia coli by combining screened N‐deacetylases with an NST domain. The integrated engineering strategy improved enzyme performance. The optimized enzyme efficiently converted heparosan into N‐sulfated heparosan, addressing a key bottleneck in microbial heparin ...
Xintong Xi, Ruirui Xu, Daoan Wang, Guobin Yin, Xinjing Wang, Haiqin Chen, Guocheng Du, Jian Chen, Zhen Kang   +8 more
wiley   +1 more source

SiDT1 Defines Plant Architecture Reminiscent of Green Revolution in Foxtail Millet

Advanced Science, EarlyView.
SiDT1 encodes a GA3‐oxidase that creates a semi‐dwarf, lodging‐resistant architecture reminiscent of the rice Green Revolution. The resulting ideotype performs well under dense planting and provides a valuable genetic resource for high‐yield, mechanized foxtail millet production. ABSTRACT Foxtail millet (Setaria italica) is a drought‐tolerant C4 cereal
Jianzhen Lv, Jinjin Cheng, Zhen Hu, Qian Lan, Yanjun Yang, Chengcheng Pei, Junhao Luo, Zhuang Li, Peiyong Xin, Jijun Yan, Jinfang Chu, Qian Qian, Zhaosheng Kong, Liang Jiang   +13 more
wiley   +1 more source

Correction: Global reactivity models are impactful in industrial synthesis applications

Journal of Cheminformatics, 2023
Paulo Neves, Kelly McClure, Jonas Verhoeven, Natalia Dyubankova, Ramil Nugmanov, Andrey Gedich, Sairam Menon, Zhicai Shi, Jörg K. Wegner   +8 more
doaj   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source

Large‐scale Whole‐Exome Sequencing Defines the Protein‐Coding Architecture of Retinal Structure, Visual Function, and Major Blinding Diseases

Advanced Science, EarlyView.
Large‐scale whole‐exome sequencing in 356,982 UK Biobank participants defines the protein‐coding architecture of retinal structure, visual function, and major blinding diseases. Pleiotropic genes, including CFI, C3, and RIOX1, bridge multiple retinal phenotypes, while experimental validation of FYB2 implicates RPE barrier dysfunction, providing ...
Jianqing Li, Yijun Ge, Jingxiao Du, Liu Yang, Bangsheng Wu, Chenyue Hang, Mengxi Shen, Yimin Mao, Ting Zhang, Qiyu Bo, Tianyuan Zhao, Yutian Jiao, Yazhi Wang, Shunxiang Gao, Jieqiong Chen, Junran Sun, Tong Li, Huixun Jia, Yang Dou, Wei Cheng, Xiaoling Wan, Jintai Yu, Xiaodong Sun, Bai Lu   +23 more
wiley   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

Advanced Science, EarlyView.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source