Dataset Information

Pan-claudin family interactome analysis reveals shared and specific interactions

ABSTRACT: Interactome study of the pan-claudin family by combining two complementary pull-down techniques followed by mass spectrometry to create an interaction landscape of the claudin family. Co-immunoprecipitation (CoIP) of recombinant claudins expressed in MDCK-C7 cells provided information about interactions beyond the already known TJ proteins. A protein interaction screen on a peptide matrix (PRISMA) allowed mapping interactions along the disordered cytosolic C-terminal region of claudins and studying the effect of post-translational modifications (PTMs) on these interactions. The new interaction partners of the C-terminus of several claudins were confirmed by proximity ligation assays (PLA) and revealed their possible implications in localized biological processes in epithelial cells. By combining these approaches, we created an extended interaction map of the claudin protein family, expanding the current knowledge in the field.

INSTRUMENT(S): Q Exactive HF-X, Q Exactive HF

ORGANISM(S): Homo Sapiens (human) Canis Familiaris (dog) (canis Lupus Familiaris)

TISSUE(S): Epithelial Cell

SUBMITTER: Lorena Suarez-Artiles

LAB HEAD: Gunnar Dittmar

PROVIDER: PXD031094 | Pride | 2023-10-24

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	Animal_20190423_LSA_CL_CoIP_Cldn11_1.raw	Raw
	Animal_20190423_LSA_CL_CoIP_Cldn11_2.raw	Raw
	Animal_20190423_LSA_CL_CoIP_Cldn11_3.raw	Raw
	Animal_20190423_LSA_CL_CoIP_Cldn11_4.raw	Raw
	Animal_20190423_LSA_CL_CoIP_Cldn12_1.raw	Raw

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Publications

Using PrISMa to reveal the interactome of the human claudins family.

Perez-Hernandez Daniel D Suarez-Artiles Lorena L Jones Mattson S O MSO Dittmar Gunnar G

STAR protocols 20230926 4

Here, we provide a protocol for the systematic screening of protein-protein interactions mediated by short linear motifs using the Protein Interaction Screen on a peptide Matrix (PrISMa) technique. We describe how to pull down interacting proteins in a parallelized manner and identify them by mass spectrometry. Finally, we describe a bioinformatic workflow necessary to identify highly probable interaction partners in the large-scale dataset. We describe the application of this method for the tra ...[more]

PMID: 37756153

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