Targeting T cell plasticity in kidney and gut inflammation by pooled single-cell CRISPR screening

Targeting T cell plasticity in kidney and gut inflammation by pooled single-cell CRISPR screening

Targeting T Cell Plasticity to Treat Inflammation in the Kidney and Gut: A Study Using Pooled Single-cell CRISPR Screening Background of the Study This paper, co-authored by Leon U.B. Enk and others, was published in the June 14, 2024, issue of “Science Immunology” under the title “Targeting T cell plasticity in kidney and gut inflammation by poole...

YAP Represses the TEAD–NF-κB Complex and Inhibits the Growth of Clear Cell Renal Cell Carcinoma

YAP Inhibits the TEAD-NF-κB Complex and Suppresses the Growth of Clear Cell Renal Cell Carcinoma Research Background Conventionally, the Hippo signaling pathway inhibits YAP-TEAD transcriptional complexes by keeping the transcriptional coactivator YAP phosphorylated and retained in the cytoplasm, thereby impeding tumor growth. However, researchers ...

Cytokines Drive the Formation of Memory-Like NK Cell Subsets via Epigenetic Rewiring and Transcriptional Regulation

Cytokines Drive the Formation of Memory-Like NK Cell Subsets via Epigenetic Rewiring and Transcriptional Regulation

In the context of today’s rapid advancement in science and technology, immunotherapy with natural killer (NK) cells has attracted widespread attention in the scientific community for their potential advantages in combating tumors and viral infections. Especially, the discovery of memory-like NK cells has brought new hope for NK cells as an anticanc...

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

Academic report: brainlife.io: A decentralized and open-source cloud platform supporting neuroscience research Background and Motivation Neuroscience research is rapidly developing, and the advancement of data standardization, management, and processing tools has made research more rigorous and transparent. However, this also brings about complex d...

Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges

Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges

Research Report on Multi-sensory Flicker Regulating Extensive Brain Networks and Reducing Interictal Epileptiform Discharges Background Introduction In treating neurological disorders, modulating brain oscillations has great potential. Non-invasive interventions, suitable for everyday use at home, have become the focus of the scientific community, ...

A Bicoherence Approach to Analyze Multi-Dimensional Cross-Frequency Coupling in EEG/MEG Data

Academic News Report on Multidimensional Cross-Frequency Coupling Analysis in EEG/MEG Data In recent years, with the advancement of neuroscience and medical imaging technology, researchers’ exploration of brain functional connectivity has become increasingly in-depth. This report will introduce a scientific research paper on multi-dimensional cross...

Long-baseline Quantum Sensor Network as Dark Matter Haloscope

Long-baseline Quantum Sensor Network as a Dark Matter Haloscope Academic Background Ultralight dark photons, as one of the significant candidates for dark matter, have attracted extensive theoretical and experimental attention. According to the kinetic mixing mechanism, when dark photons couple with standard model photons, coherent electromagnetic ...

Prediction error processing and sharpening of expected information

Prediction error processing and sharpening of expected information

Scientific Report Background Introduction Perception and neuronal processing of sensory information are largely influenced by prior expectations. Perception is not merely passive reception, but an active inferential process by combining existing sensory information with prior information based on past experience and current context. The combination...

A GRU-CNN Model for Auditory Attention Detection using Microstate and Recurrence Quantification Analysis

Overview and Report: Application of GRU-CNN Model Based on Microstate and Recurrence Quantification Analysis in Auditory Attention Detection Background and Research Motivation Attention, as a cognitive ability, plays a crucial role in the perception process, helping humans to focus on specific objects while ignoring other distractions in a complex ...

Revealing the Mechanisms of Semantic Satiation with Deep Learning Models

Revealing the Mechanisms of Semantic Satiation with Deep Learning Models

Deep Learning Model Reveals Mechanisms of Semantic Satiation Semantic satiation, the phenomenon where a word or phrase loses its meaning after being repeated many times, is a well-known psychological phenomenon. However, the micro-neural computational principles underlying this mechanism remain unknown. This paper uses a continuous coupled neural n...