Proteomics

Dataset Information

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Exploring Protein Relative Relations in Skeletal Muscle Proteomic Analysis for Insights into Insulin Resistance and Type 2 Diabetes


ABSTRACT: We performed library-based DIA proteomic analysis of post-exercise skeletal muscle biopsies collected from individuals which spanned a range of glucose metabolism disorders: normal, prediabetes, and T2D. To identify significant protein relations indicative of each specific category, we utilized the Relative Evolutionary Hierarchical Analysis (REHA), which employs interpretable, white-box techniques. anna.czajkowska@umb.edu.pl piotr.zabielski@umb.edu.pl

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Quadriceps

DISEASE(S): Type 2 Diabetes Mellitus

SUBMITTER: Piotr Zabielski  

LAB HEAD: Piotr Zabielski

PROVIDER: PXD051677 | Pride | 2024-08-10

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
103V2.raw Raw
103V5.raw Raw
106V2.raw Raw
106V5.raw Raw
120V2.raw Raw
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Publications

Exploring protein relative relations in skeletal muscle proteomic analysis for insights into insulin resistance and type 2 diabetes.

Czajkowska Anna A   Czajkowski Marcin M   Szczerbinski Lukasz L   Jurczuk Krzysztof K   Reska Daniel D   Kwedlo Wojciech W   Kretowski Marek M   Zabielski Piotr P   Kretowski Adam A  

Scientific reports 20240731 1


The escalating prevalence of insulin resistance (IR) and type 2 diabetes mellitus (T2D) underscores the urgent need for improved early detection techniques and effective treatment strategies. In this context, our study presents a proteomic analysis of post-exercise skeletal muscle biopsies from individuals across a spectrum of glucose metabolism states: normal, prediabetes, and T2D. This enabled the identification of significant protein relationships indicative of each specific glycemic conditio  ...[more]

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