Publications by authors named "B Bracken"
Article Synopsis
- Presurgical planning for brain tumor removal is essential to avoid post-operative neurological deficits, with the use of advanced brain mapping techniques gaining prominence.
- Functional MRI (fMRI) helps identify important brain regions for motor, language, and visual functions, but some patients may struggle to perform tasks during imaging due to existing impairments.
- Connectome fingerprinting (CF) uses machine learning to predict task-related brain activations based on resting-state fMRI data, demonstrating high accuracy in predicting motor functions, which could be beneficial when task data is difficult to obtain.
Situation awareness (SA) is important in many demanding tasks (e.g. driving).
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- The study investigates how hookworms establish and maintain infections in mammalian hosts, focusing on their excretory/secretory products (ESPs).
- Using advanced mass spectrometry, researchers improved hookworm genome annotations and identified significantly more ESPs than previously reported, revealing differences between male and female ESPs.
- The findings enhance our understanding of hookworm biology, which could lead to new vaccine targets, diagnostic tools, and potential anti-inflammatory treatments.
Intricate molecular communication between schistosome flatworms and their mammalian host, as well as between paired male and female schistosomes has shaped the secreted proteome of these flatworms. Whereas the schistosome egg is responsible for the disease manifestations of chronic schistosomiasis, the long lived, adult female and male stages also release different mediators including glycans, lipids, proteins and small molecules, known as excretory/secretory products (ESPs), that facilitate their survival. Given their importance, deeper analysis focused on analyzing the ESPs from adult schistosomes would likely be informative, beyond current understanding of the complement of ESP proteins.
View Article and Find Full Text PDFThe expression of inhibitory immune checkpoint molecules, such as programmed death-ligand (PD-L)1, is frequently observed in human cancers and can lead to the suppression of T cell-mediated immune responses. Here, we apply expanded CRISPR-compatible (EC)CITE-seq, a technology that combines pooled CRISPR screens with single-cell mRNA and surface protein measurements, to explore the molecular networks that regulate PD-L1 expression. We also develop a computational framework, mixscape, that substantially improves the signal-to-noise ratio in single-cell perturbation screens by identifying and removing confounding sources of variation.
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