Use of osteoblast-derived matrix to assess the influence of collagen modifications on cancer cells

Neus Bota-Rabassedas; Hou Fu Guo; Priyam Banerjee; Yulong Chen; Masahiko Terajima; Mitsuo Yamauchi; Jonathan M. Kurie

doi:10.1016/j.mbplus.2020.100047

Use of osteoblast-derived matrix to assess the influence of collagen modifications on cancer cells

Neus Bota-Rabassedas, Hou Fu Guo, Priyam Banerjee, Yulong Chen, Masahiko Terajima, Mitsuo Yamauchi, Jonathan M. Kurie

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Collagenous stromal accumulations predict a worse clinical outcome in a variety of malignancies. Better tools are needed to elucidate the way in which collagen influences cancer cells. Here, we report a method to generate collagenous matrices that are deficient in key post-translational modifications and evaluate cancer cell behaviors on those matrices. We utilized genetic and biochemical approaches to inhibit lysine hydroxylation and glucosylation on collagen produced by MC-3T3-E1 murine osteoblasts (MC cells). Seeded onto MC cell-derived matrix surface, multicellular aggregates containing lung adenocarcinoma cells alone or in combination with cancer-associated fibroblasts dissociated with temporal and spatial patterns that were influenced by collagen modifications. These findings demonstrate the feasibility of generating defined collagen matrices that are suitable for cell culture studies.

Original language	English
Article number	100047
Journal	Matrix Biology Plus
Volume	8
DOIs	https://doi.org/10.1016/j.mbplus.2020.100047
State	Published - Nov 2020

Bibliographical note

Publisher Copyright:
© 2020 The Authors

Keywords

Co-culture models
Collagen
Collagen cross-links
Lung cancer
Lysyl hydroxylases
Metastasis

ASJC Scopus subject areas

Biophysics
Biochemistry
Histology
Molecular Biology
Genetics
Cell Biology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.mbplus.2020.100047

Cite this

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title = "Use of osteoblast-derived matrix to assess the influence of collagen modifications on cancer cells",

abstract = "Collagenous stromal accumulations predict a worse clinical outcome in a variety of malignancies. Better tools are needed to elucidate the way in which collagen influences cancer cells. Here, we report a method to generate collagenous matrices that are deficient in key post-translational modifications and evaluate cancer cell behaviors on those matrices. We utilized genetic and biochemical approaches to inhibit lysine hydroxylation and glucosylation on collagen produced by MC-3T3-E1 murine osteoblasts (MC cells). Seeded onto MC cell-derived matrix surface, multicellular aggregates containing lung adenocarcinoma cells alone or in combination with cancer-associated fibroblasts dissociated with temporal and spatial patterns that were influenced by collagen modifications. These findings demonstrate the feasibility of generating defined collagen matrices that are suitable for cell culture studies.",

keywords = "Co-culture models, Collagen, Collagen cross-links, Lung cancer, Lysyl hydroxylases, Metastasis",

author = "Neus Bota-Rabassedas and Guo, {Hou Fu} and Priyam Banerjee and Yulong Chen and Masahiko Terajima and Mitsuo Yamauchi and Kurie, {Jonathan M.}",

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doi = "10.1016/j.mbplus.2020.100047",

language = "English",

volume = "8",

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AU - Bota-Rabassedas, Neus

AU - Guo, Hou Fu

AU - Banerjee, Priyam

AU - Chen, Yulong

AU - Terajima, Masahiko

AU - Yamauchi, Mitsuo

AU - Kurie, Jonathan M.

PY - 2020/11

Y1 - 2020/11

N2 - Collagenous stromal accumulations predict a worse clinical outcome in a variety of malignancies. Better tools are needed to elucidate the way in which collagen influences cancer cells. Here, we report a method to generate collagenous matrices that are deficient in key post-translational modifications and evaluate cancer cell behaviors on those matrices. We utilized genetic and biochemical approaches to inhibit lysine hydroxylation and glucosylation on collagen produced by MC-3T3-E1 murine osteoblasts (MC cells). Seeded onto MC cell-derived matrix surface, multicellular aggregates containing lung adenocarcinoma cells alone or in combination with cancer-associated fibroblasts dissociated with temporal and spatial patterns that were influenced by collagen modifications. These findings demonstrate the feasibility of generating defined collagen matrices that are suitable for cell culture studies.

AB - Collagenous stromal accumulations predict a worse clinical outcome in a variety of malignancies. Better tools are needed to elucidate the way in which collagen influences cancer cells. Here, we report a method to generate collagenous matrices that are deficient in key post-translational modifications and evaluate cancer cell behaviors on those matrices. We utilized genetic and biochemical approaches to inhibit lysine hydroxylation and glucosylation on collagen produced by MC-3T3-E1 murine osteoblasts (MC cells). Seeded onto MC cell-derived matrix surface, multicellular aggregates containing lung adenocarcinoma cells alone or in combination with cancer-associated fibroblasts dissociated with temporal and spatial patterns that were influenced by collagen modifications. These findings demonstrate the feasibility of generating defined collagen matrices that are suitable for cell culture studies.

KW - Co-culture models

KW - Collagen

KW - Collagen cross-links

KW - Lung cancer

KW - Lysyl hydroxylases

KW - Metastasis

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Use of osteoblast-derived matrix to assess the influence of collagen modifications on cancer cells

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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