Data for: Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis
type: Dataset
description: The concentration of 1463 proteins were measured using the Olink Explore platform which uses Proximity Extension Assay (PEA) technology. The proteins are preselected from four Olink panels: Explore 384 Cardiometabolic, Explore 384 Inflammation, Explore 384 Neurology, and Explore 384 Oncology. The protein concentrations are given as Olink’s relative protein quantification unit on log2 scale: Normalized Protein Expression (NPX). The NPX values were intensity normalized by Olink. Protein levels were measured in cerebrospinal fluid samples (n = 186) and plasma samples (n = 165) from persons with multiple sclerosis and healthy controls.
description: Koncentrationen av 1463 proteiner mättes med hjälp av Olink Explore-plattformen som använder Proximity Extension Assay (PEA) teknologi. Proteinerna är förvalda från fyra Olink-paneler: Explore 384 Cardiometabolic, Explore 384 Inflammation, Explore 384 Neurology och Explore 384 Oncology. Proteinernas koncentrationer anges som Olinks relativa proteinmängdsenhet på log2-skalan: Normalized Protein Expression (NPX). NPX-värdena normaliserades (intensity normalization) av Olink. Proteinhalten mättes i ryggvätskeprov (n = 186) och plasmaprov (n = 165) från personer med multipel skleros och friska kontroller. @sv
modified: 2025-07-04T10:00:24.814609Z
issued: 2023-10-04T09:23:08.17197Z
publisher: Linköping University
theme: HEAL
access rights: NON PUBLIC
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Mika Gustafsson
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Jan Ernerudh
    type: Agent
    account: https://orcid.org/0000-0001-9456-2044
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Tomas Olsson
    type: Agent
    account: https://orcid.org/0000-0002-2938-1877
    type: PrivateIndividual(s)
keyword: Proteomics
keyword: Proteomik @sv
keyword: Multiple sclerosis
keyword: Multipel skleros @sv
language: ENG

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: https://doi.org/
availability: stable

Linköping University
type: Agent
name: Linköpings universitet @sv
type: Academia-ScientificOrganisation
source: 05ynxx418