Proteomics

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Proteomic analysi of decellularized porcine pancreas


ABSTRACT: The extracellular matrix is an important part of the cellular microenvironment regulating various cellular functions. Decellularized matrices present a valuable strategy for recreating the cellular niche in vitro and implementing matrix signaling in cell culture models. However, the tissue-specificity of decellularized matrices is little considered in most in vitro models. Here, we present the generation of a porcine-derived pancreas-specific decellularized extracellular matrix scaffold (d-PanMa) and show the impact of scaffold-specific cues on stem cell culture. The proteomic analysis in this work compare the proteome of porcine pancreas (PanMa), intestine (SISser) and lung (lungMa) both in its native and decellularized form. The analysis verify the enrichment of important matrisome proteins in the decellular matrices and provide a detailed map of the protein composition and abundance across the matrices.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Sus Scrofa Domesticus (domestic Pig)

TISSUE(S): Intestine, Lung, Pancreas

SUBMITTER: Yngvild Bjørlykke  

LAB HEAD: Helge Ræder

PROVIDER: PXD014356 | Pride | 2020-03-23

REPOSITORIES: Pride

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Publications

Matrix decoded - A pancreatic extracellular matrix with organ specific cues guiding human iPSC differentiation.

Berger Constantin C   Bjørlykke Yngvild Y   Hahn Lukas L   Mühlemann Markus M   Kress Sebastian S   Walles Heike H   Luxenhofer Robert R   Ræder Helge H   Metzger Marco M   Zdzieblo Daniela D  

Biomaterials 20200306


The extracellular matrix represents a dynamic microenvironment regulating essential cell functions in vivo. Tissue engineering approaches aim to recreate the native niche in vitro using biological scaffolds generated by organ decellularization. So far, the organ specific origin of such scaffolds was less considered and potential consequences for in vitro cell culture remain largely elusive. Here, we show that organ specific cues of biological scaffolds affect cellular behavior. In detail, we rep  ...[more]

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