Alternative translation initiation produces synaptic organizer proteoforms with distinct localization and functions

Posted by klaurent Yale

Kavli Affiliate: Marina Picciotto | Authors: Paul Jongseo Lee, Alexa R Soares, Yu Sun, Caroline Fai, Marina Picciotto and Junjie U Guo | Summary: While previous studies suggest that many mRNAs contain more than one translation initiation site (TIS), the biological significance of most alternative TISs and their corresponding protein isoforms (proteoforms) remains undetermined. Here […]


Continue.. Alternative translation initiation produces synaptic organizer proteoforms with distinct localization and functions

Degron-based bioPROTACs for controlling signaling in CAR T cells

Posted by klaurent UCSF

Kavli Affiliate: Hana El-Samad | Authors: Matthew S Kim, Hersh K Bhargava, Gavin E Shavey, Wendell A Lim, Hana El-Samad and Andrew H Ng | Summary: Chimeric antigen receptor (CAR) T cells have made a tremendous impact in the clinic, but potent signaling through the CAR can be detrimental to treatment safety and efficacy. The […]


Continue.. Degron-based bioPROTACs for controlling signaling in CAR T cells

Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Dingquan Li, Kede Ma, Jing Wang, Ge Li, | Summary: The Geometry-based Point Cloud Compression (G-PCC) has been developed by the Moving Picture Experts Group to compress point clouds. In its lossy mode, the reconstructed point cloud by G-PCC often suffers from noticeable distortions due to the […]


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Low-Dose CT Reconstruction Using Dataset-free Learning

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Hong Qiu, , | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Low-Dose CT Reconstruction Using Dataset-free Learning

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Hong Qiu, , | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

Low-Dose CT Reconstruction Using Dataset-free Learning

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Renfang Wang, Bo Yang, Hong Qiu, | Summary: Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and […]


Continue.. Low-Dose CT Reconstruction Using Dataset-free Learning

A ratiometric ER calcium sensor for quantitative comparisons across cell types and subcellular regions

Posted by klaurent Rockefeller

Kavli Affiliate: Timothy A. Ryan, Timothy Brown | Authors: Ryan J Farrell, Kirsten G Bredvik, Michael Blake Hoppa, S Thomas Hennegan, Timothy A Brown and Timothy A Ryan | Summary: The endoplasmic reticulum (ER) is an important regulator of Ca2+ in cells and dysregulation of ER calcium homeostasis can lead to numerous pathologies. Understanding how […]


Continue.. A ratiometric ER calcium sensor for quantitative comparisons across cell types and subcellular regions

Universal Prompt Optimizer for Safe Text-to-Image Generation

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang | Summary: Text-to-Image (T2I) models have shown great performance in generating images based on textual prompts. However, these models are vulnerable to unsafe input to generate unsafe content like sexual, harassment and illegal-activity images. Existing studies based […]


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Morphology and Mach Number Dependence of Subsonic Bondi-Hoyle Accretion

Posted by klaurent UCSB

Kavli Affiliate: Lars Bildsten | First 5 Authors: Logan J. Prust, Hila Glanz, Lars Bildsten, Hagai B. Perets, Friedrich K. Roepke | Summary: We carry out three-dimensional computations of the accretion rate onto an object (of size $R_{rm sink}$ and mass $m$) as it moves through a uniform medium at a subsonic speed $v_{infty}$. The […]


Continue.. Morphology and Mach Number Dependence of Subsonic Bondi-Hoyle Accretion

Using artificial intelligence to document the hidden RNA virosphere

Posted by klaurent Rockefeller

Kavli Affiliate: Li Zhao | Authors: Xin Hou, Yong He, Pan Fang, Shi-Qiang Mei, Zan Xu, Wei-Chen Wu, Jun-Hua Tian, Shun Zhang, Zhen-Yu Zeng, Qin-Yu Gou, Gen-Yang Xin, Shi-Jia Le, Yin-Yue Xia, Yu-Lan Zhou, Feng-Ming Hui, Yuan-Fei Pan, John-Sebastian Eden, Zhao-Hui Yang, Chong Han, Yue-Long Shu, Deyin Guo, Jun Li, Edward C Holmes, Zhao-Rong Li […]


Continue.. Using artificial intelligence to document the hidden RNA virosphere