Results 161 to 170 of about 167,809 (296)

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

In silico modeling of anterior foregut endoderm differentiation towards lung epithelial progenitors. [PDF]

NPJ Syst Biol Appl
Mostofinejad A, Romero DA, Brinson D, Waddell TK, Karoubi G, Amon CH.   +5 more
europepmc   +1 more source

A Comparative Evaluation of Desoximetasone Cream and Ointment Formulations Using Experiments and In Silico Modeling. [PDF]

Int J Mol Sci, 2023
Matharoo NS, Garimella HT, German C, Przekwas AJ, Michniak-Kohn B.   +4 more
europepmc   +1 more source

Cis‐ and Trans‐Regulatory Factors Independently Shape Phenotypic Heterogeneity of Retinitis Pigmentosa

Advanced Science, EarlyView.
A zebrafish model carrying an identical human RHO S334X allele reveals two independent genetic layers shaping retinitis pigmentosa (RP) severity: a protective 3‐bp cis‐regulatory insertion that attenuates transgene expression, and a dominant trans‐acting modifier that restores a severe phenotype.
Cong Cui, Kotone Nakagawa, Takumi Tateno, Ayaka Dan, Dexin Meng, Yoshihiro Omori, Soma Tomihara, Suzuri Okamoto, Shigeru Sato, Motokazu Tsujikawa   +9 more
wiley   +1 more source

In silico modeling guides identification of novel JAK1 variants associated with immune dysregulation. [PDF]

EMBO Mol Med
Jeanpierre M, Debeaupuis O, Brunaud C, Yancoski J, Riller Q, Hadjadj J, Stolzenberg MC, Villarreal G, Katsicas MM, Villa M, Neves JF, Stephan JL, Léonard C, Lazaro E, Ciron J, Boussard C, Mazerolles F, Magerus A, Olivier P, Masson C, Schmitt Y, Hoareau B, Vinit A, Neven B, Quartier P, Isambert H, Oleastro M, Danielian S, Parlato M, Rieux-Laucat F.   +29 more
europepmc   +1 more source

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

Advanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi, Pierre Parutto, Yuyi Zhang, Tasuku Konno, Cecile Crapart, Raquel Pereira, John P. Franklin, Mosab Ali Awadelkareem, Daniel C Maddison, Michael J. Devine, Edgar R. Gomes, Joseph Chambers, Elena Koslover, Edward Avezov   +13 more
wiley   +1 more source

Vorinostat Potentiates Chemoimmunotherapy in Immune‐Enriched Pancreatic Cancer

Advanced Science, EarlyView.
Immune‐enriched pancreatic cancer does not confer a significant survival advantage. SAHA sensitizes these “hot” tumors to chemoimmunotherapy by disrupting a FASN/PARP9‐driven “metabolic trap” and enhancing CD8+ T cell function. A CD8high/FASNhigh/PARP9high signature identifies patients who are most likely to benefit from the “gemcitabine‐nivolumab‐SAHA”
Chen Chen, Dingru Li, Yingna Liao, Zehua Wang, Chunbin Zhu, Zifeng Zhang, Liquan Jin, Yueyue Chen, Jiaoshun Chen, Junyi Xu, Miaoyan Wei, Rong Tang, Xianjun Yu, Si Shi   +13 more
wiley   +1 more source

A framework integrating multiscale in silico modeling and experimental data predicts CAR-NK cell cytotoxicity across target cell types. [PDF]

Proc Natl Acad Sci U S A
Ahmad S, Xing K, Pereira MSF, Castle S, Rajakaruna H, Nayak I, Stewart WC, Beckwith KA, Cairo MS, Naeimi Kararoudi M, Lee DA, Das J.   +11 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

CTBPro: A Next‐Generation Cholera Toxin Subunit B‐Based Neuroanatomical Tracer With Superior Brightness, Stability, and Sensitivity for Enhanced Neural Circuit Mapping

Advanced Science, EarlyView.
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan, Yude Lou, Huiqi Xie, Yifei Wang, Yanzhe Zhang, Yiran Ge, Linhe Yang, Xiaoxuan Zhang, Qingmiao Zhou, Huaizong Shen, Longxing Cao, Xin Jin, Jie‐Min Jia   +12 more
wiley   +1 more source