Proteomics

Dataset Information

0

Titin BioID - protein and peptide pull-down


ABSTRACT: Proximity proteomics has greatly advanced the analysis of native protein complexes and subcellular structures in culture, but has not been amenable to study development and disease in vivo. Here, we generated a knock-in mouse with the biotin ligase (BioID) inserted at titin’s Z-disc region to identify protein networks that connect the sarcomere to signal transduction and metabolism. Our census of the sarcomeric proteome from neonatal to adult heart and quadriceps reveals how perinatal signalling, protein homeostasis and the shift to adult energy metabolism shape the properties of striated muscle cells. Mapping biotinylation sites to sarcomere structures refined our understanding of myofilament dynamics and supports the hypothesis that myosin filaments penetrate Z-discs to dampen contraction. Extending this proof of concept study to BioID fusion proteins generated with Crispr/CAS9 in animal models recapitulating human pathology will facilitate the future analysis of molecular machines and signalling hubs in physiological, pharmacological, and disease context.

INSTRUMENT(S): Orbitrap Fusion, Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Heart, Skeletal Muscle

SUBMITTER: Marieluise Kirchner  

LAB HEAD: Michael Gotthardt

PROVIDER: PXD017341 | Pride | 2020-05-18

REPOSITORIES: Pride

altmetric image

Publications


Proximity proteomics has greatly advanced the analysis of native protein complexes and subcellular structures in culture, but has not been amenable to study development and disease in vivo. Here, we have generated a knock-in mouse with the biotin ligase (BioID) inserted at titin's Z-disc region to identify protein networks that connect the sarcomere to signal transduction and metabolism. Our census of the sarcomeric proteome from neonatal to adult heart and quadriceps reveals how perinatal signa  ...[more]

Similar Datasets

2020-11-06 | MSV000086422 | MassIVE
2023-01-25 | GSE183217 | GEO
2023-01-25 | GSE183216 | GEO
2022-09-07 | GSE172067 | GEO
2022-09-07 | GSE189863 | GEO
2015-06-25 | E-GEOD-70213 | biostudies-arrayexpress
2024-03-31 | GSE262242 | GEO
2021-11-22 | GSE186518 | GEO
2014-04-08 | E-GEOD-56570 | biostudies-arrayexpress
2012-07-04 | E-GEOD-33931 | biostudies-arrayexpress