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Niemann-Pick type C fibroblast analysis
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创建时间：
2007-08-15
相关数据集
Alterations in lysosomal gene expression and lipid homeostasis in patient-derived liver organoids with acid sphingomyelinase deficiency
We generated hepatic organoids from Nieman Pick Type B patients with the aim to investigate their lipid status. To discover genes related to lipid metabolism likely involved in lipid deposits. Overal
NIAID Data Ecosystem50
Gpnmb Is a Potential Marker for the Visceral Pathology in Niemann-Pick Type C Disease
Impaired function of NPC1 or NPC2 lysosomal proteins leads to the intracellular accumulation of unesterified cholesterol, the primary defect underlying Niemann-Pick type C (NPC) disease. In addition,
NIAID Data Ecosystem20
Supplementary data for: Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During Neuronal Signalling in a Model of Niemann-Pick Disease Type C
Supplementary example data for the work presented in "Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultra
Zenodo2024-12-07 更新00
LC-MS/MS multiplex analysis of lysosphingolipids in plasma and amniotic fluid: A novel tool for the screening of sphingolipidoses and Niemann-Pick type C disease
BackgroundThe biological diagnosis of sphingolipidoses currently relies on the measurement of specific enzymatic activities and/or genetic studies. Lysosphingolipids have recently emerged as potential
Figshare2017-07-27 更新50
Transcription profiling of mouse tendon, cornea, and skin fibroblasts stimulated with mechanical stress to test the hypothesis that fibroblasts from different tissues are phenotypically distinct from one another.
Transcription profiling of mouse tendon, cornea, and skin fibroblasts stimulated with mechanical stress to test the hypothesis that fibroblasts from different tissues are phenotypically distinct from
ChEBI2007-10-12 更新00
