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 […]


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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 […]


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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