The importance of extracellular matrix for cell function and in vivo likeness

Hansen, N.U.B.; Genovese, Federica; Leeming, Diana Julie; Karsdal, Morten A.

doi:10.1016/j.yexmp.2015.01.006

Cited by 52 publications

(37 citation statements)

References 128 publications

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“…Interactions between cells and the ECM could lead to the direct or indirect control of cellular processes of adhesion, migration, differentiation, proliferation, and apoptosis 20. As previously reported, silencing of ITGA6 genes significantly inhibited cell migration and invasion in head and neck cancer cells and hepatocellular carcinoma cells 21,22.…”

Section: Resultssupporting

confidence: 52%

Identification of potential biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma by bioinformatics analysis

Yang

Chen

Huang

et al. 2017

OTT

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The purpose of this study was to find disease-associated genes and potential mechanisms in head and neck squamous cell carcinoma (HNSCC) with deoxyribonucleic acid microarrays. The gene expression profiles of GSE6791 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were obtained with packages in R language and STRING constructed protein–protein interaction (PPI) network of the DEGs with combined score >0.8. Subsequently, module analysis of the PPI network was performed by Molecular Complex Detection plugin and functions and pathways of the hub gene in subnetwork were studied. Finally, overall survival analysis of hub genes was verified in TCGA HNSCC cohort. A total of 811 DEGs were obtained, which were mainly enriched in the terms related to extracellular matrix (ECM)–receptor interaction, ECM structural constituent, and ECM organization. A PPI network was constructed, consisting of 401 nodes and 1,254 edges and 15 hub genes with high degrees in the network. High expression of 4 genes of the 15 genes was associated with poor OS of patients in HNSCC, including PSMA7, ITGA6, ITGB4, and APP. Two significant modules were detected from the PPI network, and the enriched functions and pathways included proteasome, ECM organization, and ECM–receptor interaction. In conclusion, we propose that PSMA7, ITGA6, ITGB4, and APP may be further explored as potential biomarkers to aid HNSCC diagnosis and treatment.

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Section: Resultssupporting

confidence: 52%

Identification of potential biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma by bioinformatics analysis

Yang

Chen

Huang

et al. 2017

OTT

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“…The ECM does not only offer protection and structural support to the surrounding cells, but it is also a key mediator in various processes affecting cellular phenotype and organ function. Contrary to previous assumptions, ECM proteins play an active role in guiding tissue function and fate through specific cell‐ECM interactions . A range of molecularly defined, collagen‐derived proteolytic fragments generated under different conditions and by different proteases are responsible for a plethora of signalling functions.…”

Section: The Signals Of the Ecmmentioning

confidence: 93%

“…Contrary to previous assumptions, ECM proteins play an active role in guiding tissue function and fate through specific cell-ECM interactions. 9,18,19 A range of molecularly defined, collagen-derived proteolytic fragments generated under different conditions and by different proteases are responsible for a plethora of signalling functions. Matrix metalloproteinase (MMP) cleavage of the non-collagenous carboxyterminal (NC1) domain of α1-α6 chains of type IV collagen generates signalling matricryptins such as arrestin, canstatin, tumstatin, tetrastatin, pentastatin and hexastatin.…”

Section: The S I G Nal S Of the Ecmmentioning

confidence: 99%

Collagen biology and non‐invasive biomarkers of liver fibrosis

Karsdal

Daniels

Nielsen

et al. 2020

Liver International

133

113

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There is an unmet need for high‐quality liquid biomarkers that can safely and reproducibly predict the stage of fibrosis and the outcomes of chronic liver disease (CLD). The requirement for such markers has intensified because of the high global prevalence of diseases such as non‐alcoholic fatty liver disease (NAFLD). In particular, there is a need for diagnostic and prognostic tools, as well as predictive biomarkers that reflect the efficacy of interventions, as described by the BEST criteria (Biomarkers, EndpointS, and other Tools Resource). This review covers the various liver collagens, their functional role in tissue homeostasis and delineates the common nomenclature for biomarkers based on BEST criteria. It addresses the common confounders affecting serological biomarkers, and describes defined collagen epitope biomarkers that originate from the dynamic processes of extracellular matrix (ECM) remodelling during liver injury.

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“…Retention of collagensecreting myofibroblasts in fibrosis has been described as the result of imbalanced cytokine signaling, especially with respect to levels of activated TGFb (Wight and Potter-Perigo, 2011;Sidgwick and Bayat, 2012). Thus, it appears that the matrix itself is a primary driver of scar formation, rather than being simply the result of other cellular dysregulations (Yates et al, 2011;Hansen et al, 2015).…”

Section: Cells Undergoing Emt Communicate With Different Types Of Matmentioning

confidence: 99%

Rebooting the collagen gel: Artificial hydrogels for the study of epithelial mesenchymal transformation

Dettman

Simon

2017

Developmental Dynamics

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The collagen gel has been used to study epithelial-mesenchymal transformation (EMT) for over 30 years. With advances in the field of materials sciences, new options are available to design optically clear, three-dimensional nature-inspired matrix mimetics to study EMT. Here, we review the history of the collagen gel assay, discuss its current use and how newer artificial matrices can be built to simulate in vivo extracellular environments and investigate important current questions in the EMT field. We suggest that further collaborations between materials scientists and biologists will be critical to move the field of EMT forward. Developmental Dynamics 247:332-339, 2018. © 2017 Wiley Periodicals, Inc.

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The importance of extracellular matrix for cell function and in vivo likeness

Cited by 52 publications

References 128 publications

Identification of potential biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma by bioinformatics analysis

Identification of potential biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma by bioinformatics analysis

Collagen biology and non‐invasive biomarkers of liver fibrosis

Rebooting the collagen gel: Artificial hydrogels for the study of epithelial mesenchymal transformation

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