Success of a Biological Engineering undergraduate educational program can be measured in a number of ways, but however it is measured, a presently successful program can translate into an unsuccessful program if it cannot adjust to different conditions posed by technical advances, student characteristics, and academic pressures. Described in this paper is a Biological Engineering curriculum that has changed significantly since its transformation from Agricultural Engineering in 1993. As a result, student numbers have continued to climb, specific objectives have emerged, and unique courses have been developed. The Biological Resources Engineering program has evolved into a program that emphasizes breadth, fundamentals, communications skills, diversity, and practical engineering judgment.
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http://dx.doi.org/10.1021/bp050074k | DOI Listing |
Alzheimers Res Ther
January 2025
Department of Bioengineering, University of California, San Diego, La Jolla, CA, 92093, USA.
Background: PSEN1, PSEN2, and APP mutations cause Alzheimer's disease (AD) with an early age at onset (AAO) and progressive cognitive decline. PSEN1 mutations are more common and generally have an earlier AAO; however, certain PSEN1 mutations cause a later AAO, similar to those observed in PSEN2 and APP.
Methods: We examined whether common disease endotypes exist across these mutations with a later AAO (~ 55 years) using hiPSC-derived neurons from familial Alzheimer's disease (FAD) patients harboring mutations in PSEN1, PSEN2, and APP and mechanistically characterized by integrating RNA-seq and ATAC-seq.
Microb Cell Fact
January 2025
Department of Botany, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt.
Background: In response to iron deficiency and other environmental stressors, cyanobacteria producing siderophores can help in ameliorating plant stress and enhancing growth physiological and biochemical processes. The objective of this work was to screen the potential of Arthrospira platensis, Pseudanabaena limnetica, Nostoc carneum, and Synechococcus mundulus for siderophore production to select the most promising isolate, then to examine the potentiality of the isolated siderophore in promoting Zea mays seedling growth in an iron-limited environment.
Results: Data of the screening experiment illustrated that Synechococcus mundulus significantly recorded the maximum highest siderophore production (78 ± 2%) while the minimum production was recorded by Nostoc carneum (24.
BMC Genomics
January 2025
College of Biological Science and Food Engineering, Southwest Forestry University, Kunming, Yunnan Province, 650224, China.
Background: WRKY transcription factors (TFs) regulate plant responses to environmental stimuli and development, including flowering. Despite extensive research on different species, their role in the invasive plant Mikania micrantha remains to be explored. The aim of this study was to identify and analyze WRKY genes in M.
View Article and Find Full Text PDFSci China Life Sci
December 2024
NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410078, China.
Circular RNAs (circRNAs) play pivotal roles in the development and progression of various diseases, including malignant tumors. However, the biological functions and the underlying mechanisms of many circRNAs remain elusive. In this study, we identified a novel circRNA, circTP63-N, generated through the splicing of exons 2-4 of the TP63 gene in nasopharyngeal carcinoma (NPC).
View Article and Find Full Text PDFMed Biol Eng Comput
January 2025
Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, (C.G.), India.
This study presents an advanced methodology for 3D heart reconstruction using a combination of deep learning models and computational techniques, addressing critical challenges in cardiac modeling and segmentation. A multi-dataset approach was employed, including data from the UK Biobank, MICCAI Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, and clinical datasets of congenital heart disease. Preprocessing steps involved segmentation, intensity normalization, and mesh generation, while the reconstruction was performed using a blend of statistical shape modeling (SSM), graph convolutional networks (GCNs), and progressive GANs.
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