Cargando…
Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, and NTN1 in an Alzheimer’s disease brain proteomic signature
Advancements in omics methodologies have generated a wealth of high-dimensional Alzheimer’s disease (AD) datasets, creating significant opportunities and challenges for data interpretation. In this study, we utilized multivariable regularized regression techniques to identify a reduced set of protei...
Autores principales: | Roberts, Jackson A., Varma, Vijay R., Candia, Julián, Tanaka, Toshiko, Ferrucci, Luigi, Bennett, David A., Thambisetty, Madhav |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326005/ https://www.ncbi.nlm.nih.gov/pubmed/37414805 http://dx.doi.org/10.1038/s41514-023-00112-6 |
Ejemplares similares
-
Plasma proteomic signatures predict dementia and cognitive impairment
por: Tanaka, Toshiko, et al.
Publicado: (2020) -
Smoc1 and Smoc2 regulate bone formation as downstream molecules of Runx2
por: Takahata, Yoshifumi, et al.
Publicado: (2021) -
Assessment of variability in the plasma 7k SomaScan proteomics assay
por: Candia, Julián, et al.
Publicado: (2022) -
Proteomic Mediators of Overall Cardiovascular Health on All-Cause Mortality
por: Tanaka, Toshiko, et al.
Publicado: (2023) -
A Plasma Proteomic Signature of Skeletal Muscle Mitochondrial Function
por: Zampino, Marta, et al.
Publicado: (2020)