Work

Identification of multiple proteoforms biomarkers on clinical samples by routine Top-Down approaches

Year: 2018

Type: data-paper

Abstract: Top-Down approaches have an extremely high biological relevance, especially when it comes to biomarker discovery, but the necessary pre-fractionation constraints are not easily compatible with the robustness requirements and the size of clinical sample cohorts. We have demonstrated that intact protein profiling studies could be run on UHR-Q-ToF with limited pre-fractionation (Schmit et al., 2017) [1]. The dataset presented herein is an extension of this research. Proteoforms known to play a role in the pathophysiology process of Alzheimer's disease were identified as candidate biomarkers. In this article, mass spectrometry performance of these candidates are demonstrated.

Source: Data in Brief

DOI: 10.1016/j.dib.2018.03.114

Authors: Jerome Vialaret, Pierre-Olivier Schmit, Sylvain Lehmann, Audrey Gabelle, Jason Wood, Marshall Bern, Rainer Paape, Detlev Suckau, Gary Kruppa, Christophe Hirtz

Institutions: Université de Montpellier, Institute for Regenerative Medicine & Biotherapy, Bruker (France), Hôpital Gui de Chauliac, Université Montpellier 1, Bruker (United States), Protein Metrics (United States), Bruker (Germany)

Language: English

Topic: Advanced Proteomics Techniques and Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,220

OpenAlex ID: W2794615361

Cites: 1

Cited by: 9

Related to: 10