Unknown

Dataset Information

Network based subcellular proteomics in monocyte membrane revealed novel candidate genes involved in osteoporosis.


ABSTRACT: In this study, label-free-based quantitative subcellular proteomics integrated with network analysis highlighted several candidate genes including P4HB, ITGB1, CD36, and ACTN1 that may be involved in osteoporosis. All of them are predicted as significant membrane proteins with high confidence and enriched in bone-related biological process. The results were further verified in transcriptomic and genomic levels.

Introduction

Osteoporosis is a metabolic bone disease mainly characterized by low bone mineral density (BMD). As the precursors of osteoclasts, peripheral blood monocytes (PBMs) are supported to be important candidates for identifying genes related to osteoporosis. We performed subcellular proteomics study to identify significant membrane proteins that involved in osteoporosi

SUBMITTER: Zeng Y 

PROVIDER: S-EPMC5812280 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature