Proteomics

Dataset Information

88

The proteomic landscape of patient-derived CD4+ T cells in recent-onset type 1 diabetes


ABSTRACT: The pathophysiology underlying the autoimmune disease type 1 diabetes (T1D) is poorly understood. Obtaining an accurate proteomic profile of the T helper cell population is essential for understanding the pathogenesis of T1D. Here, we performed in-depth proteomic profiling of peripheral CD4+ T cells in a pediatric cohort in order to identify cellular signatures associated with the onset of T1D. Using only 250,000 CD4+ T cells per patient, isolated from biobanked PBMC samples, we identified nearly 6,000 proteins using deep-proteome profiling with LC-MS/MS data-independent acquisition. Our analysis revealed an inflammatory signature in patients with T1D; this signature is characterized by circulating mediators of neutrophils, platelets, and the complement system. This signature likely reflects the inflammatory extracellular milieu, suggesting that activation of the innate immune system plays an important role in disease onset. Our results emphasize the potential value of using high-resolution LC-MS/MS to investigate limited quantities of biobanked samples in order to identify disease-relevant proteomic patterns. The deposited data set is the shotgun proteomic part of our two-phase study.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo sapiens  

TISSUE(S): Helper T-lymphocyte

DISEASE(S): Type 1 Diabetes Mellitus

SUBMITTER: Marlen Lepper  

LAB HEAD: Stefanie M. Hauck

PROVIDER: PXD006223 | Pride | 2017-11-30

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
LEM7320_10_T1D_F1.raw Raw
LEM7320_11_Control_F1.raw Raw
LEM7320_12_T1D_F1.raw Raw
LEM7320_13_T1D_F1.raw Raw
LEM7320_14_T1D_F1.raw Raw
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Publications

Proteomic Landscape of Patient-Derived CD4+ T Cells in Recent-Onset Type 1 Diabetes.

Lepper Marlen F MF   Ohmayer Uli U   von Toerne Christine C   Maison Nicole N   Ziegler Anette-Gabriele AG   Hauck Stefanie M SM  

Journal of proteome research 20171213 1


The pathophysiology underlying the autoimmune disease type 1 diabetes (T1D) is poorly understood. Obtaining an accurate proteomic profile of the T helper cell population is essential for understanding the pathogenesis of T1D. Here, we performed in-depth proteomic profiling of peripheral CD4+ T cells in a pediatric cohort to identify cellular signatures associated with the onset of T1D. Using only 250 000 CD4+ T cells per patient, isolated from biobanked PBMC samples, we identified nearly 6000 pr  ...[more]

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