Signaling pathways lie at the heart of cellular responses to environmental cues. The ability to reconstruct specific signaling modules ex vivo allows us to study their inherent properties in an isolated environment, which in turn enables us to elucidate fundamental design principles for such motifs. This synthetic biology approach for analyzing natural, well-defined signaling modules will help to bridge the gap between studies on isolated biochemical reactions-which can provide great mechanistic detail but do not capture the complexity of endogenous signaling pathways-and those on entire networks of protein interactions-which offer a systems-level view of signal transduction but obscure the mechanisms that underlie signal transmission and processing. Additionally, minimal signaling modules can be tractably engineered to predictably alter cellular responses, opening up possibilities for creating biotechnologically and biomedically useful cellular devices.
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http://dx.doi.org/10.1016/j.copbio.2012.01.004 | DOI Listing |
Sorbitol is an important primary metabolite that serves as both a carbon source and signal to pathogens. The leaf diseases caused by Alternata alternata are particularly serious in crabapple (Malus micromalus). Here, we found that sorbitol can enhance the resistance of crabapple to A.
View Article and Find Full Text PDFMol Neurobiol
January 2025
Research and Innovation Center, Shanghai Pudong Hospital, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China.
Investigating plasma proteomic signatures of dementia offers insights into its pathology, aids biomarker discovery, supports disease monitoring, and informs drug development. Here, we analyzed data from 48,367 UK Biobank participants with proteomic profiling. Using Cox and generalized linear models, we examined the longitudinal associations between proteomic signatures and dementia-related phenotypes.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
Center for Cell Engineering, Sloan Kettering Institute, New York, NY.
Purpose: We designed a CD19-targeted chimeric antigen receptor (CAR) comprising a calibrated signaling module, termed 1XX, that differs from that of conventional CD28/CD3ζ and 4-1BB/CD3ζ CARs. Preclinical data demonstrated that 1XX CARs generated potent effector function without undermining T-cell persistence. We hypothesized that 1XX CAR T cells may be effective at low doses and elicit minimal toxicities.
View Article and Find Full Text PDFMed Biol Eng Comput
January 2025
School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China.
With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications and major achievements of Graph Convolution Network (GCN) techniques in EEG signal analysis are reviewed in this paper. Through an exhaustive search of the published literature, a module-by-module discussion is carried out for the first time to address the current research status of GCN.
View Article and Find Full Text PDFFront Neurorobot
January 2025
College of Engineering, Qufu Normal University, Rizhao, China.
Brain-computer interfaces (BCIs) have garnered significant research attention, yet their complexity has hindered widespread adoption in daily life. Most current electroencephalography (EEG) systems rely on wet electrodes and numerous electrodes to enhance signal quality, making them impractical for everyday use. Portable and wearable devices offer a promising solution, but the limited number of electrodes in specific regions can lead to missing channels and reduced BCI performance.
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