Work

LOESS-based normalization workflow for targeted HDL glycoproteomics in an Alzheimer's disease cohort

Year: 2026

Type: article

Abstract: LOESS-based normalization with internal standards improves analytical stability in HDL glycoproteomics, enabling detection of APOE genotype-associated differences in peptide abundance in an Alzheimer's disease cohort.

Source: RSC Advances

DOI: 10.1039/d6ra01426g

Authors: Brian V. Hong, Yiyun Liu, Armin Oloumi, Joanne K Agus, Yasmine Bouchibti, Lee-Way Jin, Izumi Maezawa, Danielle J. Harvey, Carlito B. Lebrilla, Angela M. Zivkovic

Institution: University of California, Davis

Language: English

Topic: Glycosylation and Glycoproteins Research

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,042

Funders: U.S. Department of Agriculture, National Institutes of Health, National Institute of Food and Agriculture, University of California, Davis, National Institute on Aging, National Institute of General Medical Sciences, Alzheimer's Disease Research Center, Wake Forest School of Medicine

Awards: G366407493, G579666259, Comprehensive Characterization of Glycosylation Alterations in Alzheimer's Disease, G8670215008, G8707135858, G8744070173, Development of a Novel Technology for Preparative Fractionation and Characterization of Lipoprotein Particles, UC Davis Alzheimer's Disease Research Center

OpenAlex ID: W7158774396

FWCI:

Cites: 24

Cited by:

Related to: 10