Dual-controlled optogenetic system for the rapid down-regulation of protein levels in mammalian cells

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Cyclic GMP-AMP synthase (cGAS) senses aberrant DNA during infection, cancer and inflammatory disease, and initiates potent innate immune responses through the synthesis of 2 ' 3 '-cyclic GMP-AMP (cGAMP)1-7. The indiscriminate activity of cGAS towards DNA d ...

Borrowing some quotes from Harper Lee's novel "To Kill A Mockingbird" to help frame our manuscript, we discuss methods to profile local proteomes. We initially focus on chemical biology regimens that function in live organisms and use reactive biotin speci ...

DNA damage signaling following DNA double-strand breaks (DSBs) involves numerous regulating proteins, which dynamically recognize ('read') and alter ('write' or 'erase') histone post-translational modifications (PTMs). Among these PTMs, the ubiquitin syste ...

The present invention relates to systems and methods for predicting a prognosis of the neuropsychological and/or neuropsychiatric status in a subject based on reports of Minor Hallucination (MH) events in combination with electrophysiological data of the s ...

High-throughput transcriptomics is of increasing fundamental biological and clinical interest. The generation of molecular data from large collections of samples, such as biobanks and drug libraries, is boosting the development of new biomarkers and treatm ...

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

Traditional cell cultures have long been fundamental to biological research, offering an alternative to animal models burdened by ethical constraints and procedural intricacies, often lacking relevance to human physiology and disease. Moreover, their inabi ...

The application of computational biology in drug development for membrane protein targets has experienced a boost from recent developments in deep learning-driven structure prediction, increased speed and resolution of structure elucidation, machine learni ...

Interferometric scattering (iSCAT) microscopy enables the label-free observation of biomolecules. Consequently, single-particle imaging and tracking with the iSCAT-based method known as mass photometry (MP) is a growing area of study. However, establishing ...

Cell fate progression of pluripotent progenitors is strictly regulated, resulting in high human cell diversity. Epigenetic modifications also orchestrate cell fate restriction. Unveiling the epigenetic mechanisms underlying human cell diversity has been di ...

The rapid progress in the field of deep learning has had a significant impact on protein design. Deep learning methods have recently produced a breakthrough in protein structure prediction, leading to the availability of high-quality models for millions of ...

Dual-controlled optogenetic system for the rapid down-regulation of protein levels in mammalian cells

Chattez avec Graph Search

The CRL5-SPSB3 ubiquitin ligase targets nuclear cGAS for degradation

Climbing into their Skin to Understand Contextual Protein-Protein Associations and Localizations: Functional Investigations in Transgenic Live Model Organisms

A chemical biology approach to decipher chromatin ubiquitylation by RNF168

System for predicting a prognosis of the neuropsychological and/or neuropsychiatric status in a subject

Multi-well plate lid for single-step pooling of 96 samples for high-throughput barcode-based sequencing

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Accessible and highly observable gastrointestinal organoid model systems for studying host-pathogen interactions

Computational drug development for membrane protein targets

Surface passivation and functionalisation for mass photometry

Single-cell epigenomic reconstruction of developmental trajectories from pluripotency in human neural organoid systems

A new age in protein design empowered by deep learning