bioRxiv Science⌕ Search

Biology subjects

Schneegans, E.

Publications and source records attributed to Schneegans, E..

2 recordsLinked to original sources

A synaptic-astrocytic proteomic signature associated with synaptopathy in Alzheimer's Disease

Synapse loss is the greatest correlate of cognitive impairment in Alzheimers Disease (AD) and offers a therapeutic avenue alongside disease-modifying therapies. However, the events preceding synapse loss in the human condition have not been well characterised. In this study, we describe a pseudotemporal profile of alterations in the synaptic proteome prior to excitatory synapse loss in human post-mortem brain AD tissue using synapse proteomics and synaptome mapping techniques. In a region with early-stage disease pathology, the most predominant changes were pre-synaptic and featured changes in metabolism and exocytosis. In a mid-stage disease state, alongside initial synapse loss, there was a dominance of inhibitory synaptic changes. In a region with late-stage disease pathology and profound synapse loss, post-synaptic changes were most prevalent with a range of canonical synaptic transmission pathways reduced and differential excitatory synapse subtype pathology. Synapse loss was associated with changes in astrocytic proteins which were enriched for those at peri-synaptic astrocytic processes, including an upregulation of complement activation and endocytosis; a signature that differed from the astrocyte cytosolic proteome. Taken together, this provides evidence of a cascade of events leading to synapse loss with multiple points for therapeutic intervention to alleviate cognitive decline in AD. Data are available via ProteomeXchange with identifier PXD056052.

neuroscience↗

Omix: A Multi-Omics Integration Pipeline

SummaryThe Omix pipeline offers an integration and analysis framework for multiomics intended to preprocess, analyse, and visualise multimodal data flexibly to address various research questions. From biomarker discovery and patient stratification to the investigation of complex biological processes, Omix empowers researchers to derive valuable insights from omics data. Using Alzheimers Disease (AD) bulk proteomics and transcriptomics datasets generated from two distinct regions derived from post-mortem brains, we demonstrate the utility of Omix in generating an integrated pseudo-temporal multi-omics profile of AD. Availability and ImplementationOmix is implemented as a software package in R. The code for the Omix package is available at https://github.com/eleonoreschneeg/Omix. Reference documentation and online tutorials are available at https://eleonore-schneeg.github.io/Omix. All code is open-source and available under the GNU General Public License v3.0 (GPL-3). Contacteleonore.schneegans17@imperial.ac.uk, johanna.jackson@imperial.ac.uk

bioinformatics↗