Results 51 to 60 of about 2,804 (226)

Nuclear Factor I‐B Delays Liver Fibrosis by Inhibiting Chemokine Ligand 5 Transcription

Advanced Science, EarlyView.
This study identifies the transcription factor Nuclear Factor I‐B (NFIB) as a key suppressor of liver fibrosis. NFIB expression declines during hepatic stellate cell activation, and its overexpression reduces fibrosis in mice models. The mechanism involves NFIB directly repressing chemokine C─C motif ligand 5 (CCL5), thereby alleviating oxidative ...
Qianqian Chen, Fajuan Rui, Zhiwen Fan, Hongju Yang, Nan Geng, Chenqi Lu, Wenjing Ni, Yue Huan, Junping Shi, Chao Wu, Shengxia Yin, Wei An, Xia Lu, Qianwen Zhao, Jie Li   +14 more
wiley   +1 more source

Dual‐Laser Optical Tweezers for Photothermal Analysis of Hybrid Microgels

Advanced Science, EarlyView.
Dual‐laser optical tweezers unlock real‐time, single‐particle resolution of light‐driven actuation. Direct visualization and precise quantification of size changes under varying laser intensity provide new insights, overcoming limitations of conventional microscale actuator analysis.
Se‐Hyeong Jung, Chi Zhang, Nick Stauffer, Frank Scheffold, Lucio Isa   +4 more
wiley   +1 more source

rWTC‐MBTA Vaccine, Alone and Enhanced with Anti‐PD1, Elicits Immune Responses against CNS and Peripheral B‐Cell Lymphoma

Advanced Science, EarlyView.
An autologous whole‐tumor‐cell vaccine (rWTC‐MBTA) is evaluated in murine CNS lymphoma. Subcutaneous vaccination activates dendritic cells, broadens T‐cell priming, and drives lymphocyte trafficking to brain tumors, producing durable tumor control. Longitudinal bioluminescence and adoptive‐transfer assays verify CNS engagement. Combination with anti‐PD‐
Yaping Zhang, Juan Ye, Mitchell Sun, Samik Chakraborty, Alex Valenzuela, Shuran Chen, Qingfeng Xue, Wenyu Shi, Karel Pacak, Herui Wang, Zhengping Zhuang   +10 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

Advanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park, Sumin Kim, Jiwon Kim, Dongjoo Lee, Sungwoo Bae, Haenara Shin, Daeseung Lee, Hongyoon Choi   +7 more
wiley   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Initial Distance‐Dependent Mean Force Drives Synaptic Vesicle Motion Toward Fusion Sites in Stimulated Hippocampal Neurons

Advanced Science, EarlyView.
Synaptic vesicle (SV) motion and exocytosis dynamics in the presynaptic terminals of live neurons are intimately linked to synaptic transmission during neuronal activity. In this work, it is revealed that, during electrical stimulation, SVs located farther from their fusion sites exhibit greater straightness and experience larger mean forces directed ...
Gyunam Park, Ji‐Hyun Kim, Hunki Lee, Chungwon Park, Sidong Chen, Luke Bates, Jaeyoung Sung, Hyokeun Park   +7 more
wiley   +1 more source

Identification and Characterization of an In Silico Designed Membrane‐Active Peptide with Antiviral Properties

Advanced Science, EarlyView.
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz, Niek van Hilten, Tatjana Weil, Thunchanok Thummaraj, Jeroen Methorst, Dennis Aschmann, Alexander Kros, Clarissa Read, Jasmina Gačanin, Herre Jelger Risselada, Jan Münch   +10 more
wiley   +1 more source

Active Force Dynamics in Red Blood Cells Under Non‐Invasive Optical Tweezers

Advanced Science, EarlyView.
A non‐invasive method combines low‐power optical tweezers with high‐speed microscopy to simultaneously monitor local membrane forces and displacements in single human red blood cells. This dual‐channel approach reveals a mechano‐dynamic signature that correlates the cell's metabolic state with its mechanical activity. This energetic framework serves as
Arnau Dorn, Clara Luque‐Rioja, Macarena Calero, Diego Herráez‐Aguilar, Francisco Monroy, Niccolò Caselli   +5 more
wiley   +1 more source