We previously described a patient with a history of frequent life-threatening pneumonias, infections with bacterial pathogens, interleukin 1 receptor-associated kinase 4 deficiency, and failure to maintain antibody titers to polysaccharide antigens or to a neoantigen bacteriophage. In the present study, we show that the patient's peripheral blood mononuclear cells have a profound deficiency of invariant natural killer T cells.
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http://dx.doi.org/10.1016/j.imlet.2010.04.011 | DOI Listing |
Mol Ecol
January 2025
Department of Biology, Colorado State University, Fort Collins, Colorado, USA.
Identifying populations at highest risk from climate change is a critical component of conservation efforts. However, vulnerability assessments are usually applied at the species level, even though intraspecific variation in exposure, sensitivity and adaptive capacity play a crucial role in determining vulnerability. Genomic data can inform intraspecific vulnerability by identifying signatures of local adaptation that reflect population-level variation in sensitivity and adaptive capacity.
View Article and Find Full Text PDFNat Protoc
January 2025
Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
The clinical potential of current chimeric antigen receptor-engineered T (CAR-T) cell therapy is hampered by its autologous nature that poses considerable challenges in manufacturing, costs and patient selection. This spurs demand for off-the-shelf therapies. Here we introduce an ex vivo feeder-free culture method to differentiate gene-engineered hematopoietic stem and progenitor (HSP) cells into allogeneic invariant natural killer T (NKT) cells and their CAR-armed derivatives (CAR-NKT cells).
View Article and Find Full Text PDFCommun Biol
January 2025
University of Twente, Enschede, The Netherlands.
Deep learning classification models based on Convolutional Neural Networks (CNNs) are increasingly used in population genetic inference for detecting signatures of natural selection. Prevailing detection methods treat the design of the classifier as a discrete phase, assuming that high classification accuracy is the sole prerequisite for precise detection. This frequently steers method development toward classification-driven optimizations that can inadvertently impede detection.
View Article and Find Full Text PDFMed Biol Eng Comput
January 2025
Mechanical Engineering Department, Tianjin University, No. 135, Yaguan Road, Haihe Education Park, Jinnan District, Tianjin City, 300350, China.
The use of AR technology in image-guided neurosurgery enables visualization of lesions that are concealed deep within the brain. Accurate AR registration is required to precisely match virtual lesions with anatomical structures displayed under a microscope. The purpose of this work was to develop a real-time augmented surgical navigation system using contactless line-structured light registration, microscope calibration, and visible optical tracking.
View Article and Find Full Text PDFPsychol Aging
January 2025
Department of Psychology, Trinity University.
Recently, a distinction has been drawn between conventional false memories, which misrepresent specific facts, and deep distortions, which misrepresent relations that connect facts. We report the first study of adult developmental trends in deep distortions, using a paradigm in which people make conjoint recognition judgments about incompatible facts (e.g.
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