Dendritic cell (DC)-based vaccines have been successfully used for immunotherapy of cancer and infections. A major obstacle is the need for high-level class A cleanroom cGMP facilities for DC generation. The CliniMACS Prodigy® (Prodigy) represents a new platform integrating all GMP-compliant manufacturing steps in a closed system for automated production of various cellular products, notably T cells, NK cells and CD34 cells. We now systematically tested its suitability for producing human mature monocyte-derived DCs (Mo-DCs), and optimized it by directly comparing the Prodigy approach to our established standard production of Mo-DCs from elutriated monocytes in dishes or bags. Upon step-by-step identification of an optimal cell concentration for the Prodigy's CentriCult culture chamber, the total yield (% of input CD14 monocytes), phenotype, and functionality of mature Mo-DCs were equivalent to those generated by the standard protocol. Technician's labor time was comparable for both methods, but the Prodigy approach significantly reduced hands-on time and high-level clean room resources. In summary, using our optimized conditions for the CliniMACS Prodigy, human Mo-DCs for clinical application can be generated almost automatically in a fully closed system. A significant drawback of the Prodigy approach was, however, that due to the limited size of the CentriCult culture chamber, in contrast to our standard semi-closed elutriation approach, only one fourth of an apheresis could be processed at once.
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Sante Ment Que
December 2024
Université de Montréal, Québec, Canada; George Washington University, Washington, DC 20052, États-Unis.
Introduction This essay reviews the case of Émile Nelligan, Quebec's most celebrated poet and the Institute's most famous patient. Writing a clinical case study should be relevant for readers of a scientific medical journal. This allows the transfer of important clinical knowledge for optimal medical care of patients.
View Article and Find Full Text PDFJ Pediatr Urol
November 2024
National Investigator at the Centro Médico Nacional Siglo XXI [National Medical Center "Siglo XXI"], High Specialty Medical Unit Pediatric Hospital "Silvestre Frenk Freund" Mexican Social Security Institute, Mexico. Electronic address:
Cell Rep Methods
November 2024
Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Los Angeles, CA, USA; Hematologic Malignancies Research Institute, City of Hope National Medical Center, Los Angeles, CA, USA; Comprehensive Cancer Center, City of Hope National Medical Center, Los Angeles, CA, USA. Electronic address:
Identifying predictive biomarkers of patient outcomes from high-throughput microbiome data is of high interest, while existing computational methods do not satisfactorily account for complex survival endpoints, longitudinal samples, and taxa-specific sequencing biases. We present FLORAL, an open-source tool to perform scalable log-ratio lasso regression and microbial feature selection for continuous, binary, time-to-event, and competing risk outcomes, with compatibility for longitudinal microbiome data as time-dependent covariates. The proposed method adapts the augmented Lagrangian algorithm for a zero-sum constraint optimization problem while enabling a two-stage screening process for enhanced false-positive control.
View Article and Find Full Text PDFSci Rep
October 2024
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Accurately predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries is vital for improving battery performance and safety in applications such as consumer electronics and electric vehicles. While the prediction of RUL for these batteries is a well-established field, the current research refines RUL prediction methodologies by leveraging deep learning techniques, advancing prediction accuracy. This study proposes AccuCell Prodigy, a deep learning model that integrates auto-encoders and long short-term memory (LSTM) layers to enhance RUL prediction accuracy and efficiency.
View Article and Find Full Text PDFProg Retin Eye Res
January 2025
School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.
To meet the prodigious bioenergetic demands of the photoreceptors, glucose and other nutrients must traverse the retinal pigment epithelium (RPE), a polarised monolayer of cells that lie at the interface between the outer retina and the choroid, the principal vascular layer of the eye. Recent investigations have revealed a metabolic ecosystem in the outer retina where the photoreceptors and RPE engage in a complex exchange of sugars, amino acids, and other metabolites. Perturbation of this delicate metabolic balance has been identified in the aging retina, as well as in age-related macular degeneration (AMD), the leading cause of blindness in the Western world.
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