Article ; Online: New Empirical Bayes Models to Jointly Analyze Multiple RNA-Sequencing Data in a Hypophosphatasia Disease Study.
2024 Volume 15, Issue 4
Abstract: Hypophosphatasia is a rare inherited metabolic disorder caused by the deficiency of tissue-nonspecific alkaline phosphatase. More severe and early onset cases present symptoms of muscle weakness, diminished motor coordination, and epileptic seizures. ... ...
Abstract | Hypophosphatasia is a rare inherited metabolic disorder caused by the deficiency of tissue-nonspecific alkaline phosphatase. More severe and early onset cases present symptoms of muscle weakness, diminished motor coordination, and epileptic seizures. These neurological manifestations are poorly characterized. Thus, it is urgent to discover novel differentially expressed genes for investigating the genetic mechanisms underlying the neurological manifestations of hypophosphatasia. RNA-sequencing data offer a high-resolution and highly accurate transcript profile. In this study, we apply an empirical Bayes model to RNA-sequencing data acquired from the spinal cord and neocortex tissues of a mouse model, individually, to more accurately estimate the genetic effects without bias. More importantly, we further develop two integration methods, weighted gene approach and weighted |
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MeSH term(s) | Hypophosphatasia/genetics ; Animals ; Mice ; Bayes Theorem ; Alkaline Phosphatase/genetics ; Sequence Analysis, RNA/methods ; Spinal Cord/metabolism ; Spinal Cord/pathology ; Humans ; Disease Models, Animal ; Neocortex/metabolism ; Neocortex/pathology |
Chemical Substances | Alkaline Phosphatase (EC 3.1.3.1) |
Language | English |
Publishing date | 2024-03-26 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2527218-4 |
ISSN | 2073-4425 ; 2073-4425 |
ISSN (online) | 2073-4425 |
ISSN | 2073-4425 |
DOI | 10.3390/genes15040407 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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