Transcriptomic characterization of signaling pathways associated with osteoblastic differentiation of MC-3T3E1 cells

Bone remodeling involves the coordinated actions of osteoclasts, which resorb the calcified bony matrix, and osteoblasts, which refill erosion pits created by osteoclasts to restore skeletal integrity and adapt to changes in mechanical load. Osteoblasts are derived from pluripotent mesenchymal stem...

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Published inPloS one Vol. 14; no. 1; p. e0204197
Main Authors Luttrell, Louis M, Dar, Moahad S, Gesty-Palmer, Diane, El-Shewy, Hesham M, Robinson, Katherine M, Haycraft, Courtney J, Barth, Jeremy L
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 04.01.2019
Public Library of Science (PLoS)
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Abstract Bone remodeling involves the coordinated actions of osteoclasts, which resorb the calcified bony matrix, and osteoblasts, which refill erosion pits created by osteoclasts to restore skeletal integrity and adapt to changes in mechanical load. Osteoblasts are derived from pluripotent mesenchymal stem cell precursors, which undergo differentiation under the influence of a host of local and environmental cues. To characterize the autocrine/paracrine signaling networks associated with osteoblast maturation and function, we performed gene network analysis using complementary "agnostic" DNA microarray and "targeted" NanoString nCounter datasets derived from murine MC3T3-E1 cells induced to undergo synchronized osteoblastic differentiation in vitro. Pairwise datasets representing changes in gene expression associated with growth arrest (day 2 to 5 in culture), differentiation (day 5 to 10 in culture), and osteoblast maturation (day 10 to 28 in culture) were analyzed using Ingenuity Systems Pathways Analysis to generate predictions about signaling pathway activity based on the temporal sequence of changes in target gene expression. Our data indicate that some pathways involved in osteoblast differentiation, e.g. Wnt/β-catenin signaling, are most active early in the process, while others, e.g. TGFβ/BMP, cytokine/JAK-STAT and TNFα/RANKL signaling, increase in activity as differentiation progresses. Collectively, these pathways contribute to the sequential expression of genes involved in the synthesis and mineralization of extracellular matrix. These results provide insight into the temporal coordination and complex interplay between signaling networks controlling gene expression during osteoblast differentiation. A more complete understanding of these processes may aid the discovery of novel methods to promote osteoblast development for the treatment of conditions characterized by low bone mineral density.
AbstractList Bone remodeling involves the coordinated actions of osteoclasts, which resorb the calcified bony matrix, and osteoblasts, which refill erosion pits created by osteoclasts to restore skeletal integrity and adapt to changes in mechanical load. Osteoblasts are derived from pluripotent mesenchymal stem cell precursors, which undergo differentiation under the influence of a host of local and environmental cues. To characterize the autocrine/paracrine signaling networks associated with osteoblast maturation and function, we performed gene network analysis using complementary "agnostic" DNA microarray and "targeted" NanoString nCounter datasets derived from murine MC3T3-E1 cells induced to undergo synchronized osteoblastic differentiation in vitro. Pairwise datasets representing changes in gene expression associated with growth arrest (day 2 to 5 in culture), differentiation (day 5 to 10 in culture), and osteoblast maturation (day 10 to 28 in culture) were analyzed using Ingenuity Systems Pathways Analysis to generate predictions about signaling pathway activity based on the temporal sequence of changes in target gene expression. Our data indicate that some pathways involved in osteoblast differentiation, e.g. Wnt/[beta]-catenin signaling, are most active early in the process, while others, e.g. TGF[beta]/BMP, cytokine/JAK-STAT and TNF[alpha]/RANKL signaling, increase in activity as differentiation progresses. Collectively, these pathways contribute to the sequential expression of genes involved in the synthesis and mineralization of extracellular matrix. These results provide insight into the temporal coordination and complex interplay between signaling networks controlling gene expression during osteoblast differentiation. A more complete understanding of these processes may aid the discovery of novel methods to promote osteoblast development for the treatment of conditions characterized by low bone mineral density.
Bone remodeling involves the coordinated actions of osteoclasts, which resorb the calcified bony matrix, and osteoblasts, which refill erosion pits created by osteoclasts to restore skeletal integrity and adapt to changes in mechanical load. Osteoblasts are derived from pluripotent mesenchymal stem cell precursors, which undergo differentiation under the influence of a host of local and environmental cues. To characterize the autocrine/paracrine signaling networks associated with osteoblast maturation and function, we performed gene network analysis using complementary "agnostic" DNA microarray and "targeted" NanoString nCounter datasets derived from murine MC3T3-E1 cells induced to undergo synchronized osteoblastic differentiation in vitro. Pairwise datasets representing changes in gene expression associated with growth arrest (day 2 to 5 in culture), differentiation (day 5 to 10 in culture), and osteoblast maturation (day 10 to 28 in culture) were analyzed using Ingenuity Systems Pathways Analysis to generate predictions about signaling pathway activity based on the temporal sequence of changes in target gene expression. Our data indicate that some pathways involved in osteoblast differentiation, e.g. Wnt/β-catenin signaling, are most active early in the process, while others, e.g. TGFβ/BMP, cytokine/JAK-STAT and TNFα/RANKL signaling, increase in activity as differentiation progresses. Collectively, these pathways contribute to the sequential expression of genes involved in the synthesis and mineralization of extracellular matrix. These results provide insight into the temporal coordination and complex interplay between signaling networks controlling gene expression during osteoblast differentiation. A more complete understanding of these processes may aid the discovery of novel methods to promote osteoblast development for the treatment of conditions characterized by low bone mineral density.
Bone remodeling involves the coordinated actions of osteoclasts, which resorb the calcified bony matrix, and osteoblasts, which refill erosion pits created by osteoclasts to restore skeletal integrity and adapt to changes in mechanical load. Osteoblasts are derived from pluripotent mesenchymal stem cell precursors, which undergo differentiation under the influence of a host of local and environmental cues. To characterize the autocrine/paracrine signaling networks associated with osteoblast maturation and function, we performed gene network analysis using complementary “agnostic” DNA microarray and “targeted” NanoString nCounter datasets derived from murine MC3T3-E1 cells induced to undergo synchronized osteoblastic differentiation in vitro . Pairwise datasets representing changes in gene expression associated with growth arrest (day 2 to 5 in culture), differentiation (day 5 to 10 in culture), and osteoblast maturation (day 10 to 28 in culture) were analyzed using Ingenuity Systems Pathways Analysis to generate predictions about signaling pathway activity based on the temporal sequence of changes in target gene expression. Our data indicate that some pathways involved in osteoblast differentiation, e.g. Wnt/β-catenin signaling, are most active early in the process, while others, e.g. TGFβ/BMP, cytokine/JAK-STAT and TNFα/RANKL signaling, increase in activity as differentiation progresses. Collectively, these pathways contribute to the sequential expression of genes involved in the synthesis and mineralization of extracellular matrix. These results provide insight into the temporal coordination and complex interplay between signaling networks controlling gene expression during osteoblast differentiation. A more complete understanding of these processes may aid the discovery of novel methods to promote osteoblast development for the treatment of conditions characterized by low bone mineral density.
Audience Academic
Author Gesty-Palmer, Diane
Luttrell, Louis M
Dar, Moahad S
Haycraft, Courtney J
Robinson, Katherine M
El-Shewy, Hesham M
Barth, Jeremy L
AuthorAffiliation 4 Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America
6 Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, South Carolina, United States of America
5 Department of Biology, Mississippi College, Clinton, Mississippi, United States of America
3 Ralph H. Johnson Veterans Affairs Medical Center, Charleston, South Carolina, United States of America
2 Department of Biochemistry & Molecular Biology, Medical University of South Carolina, Charleston, South Carolina, United States of America
University of Texas Southwestern Medical Center, UNITED STATES
1 Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, United States of America
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/30608923$$D View this record in MEDLINE/PubMed
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2019 Luttrell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: 2019 Luttrell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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PublicationCentury 2000
PublicationDate 2019-01-04
PublicationDateYYYYMMDD 2019-01-04
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  year: 2019
  text: 2019-01-04
  day: 04
PublicationDecade 2010
PublicationPlace United States
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PublicationTitle PloS one
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PublicationYear 2019
Publisher Public Library of Science
Public Library of Science (PLoS)
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Snippet Bone remodeling involves the coordinated actions of osteoclasts, which resorb the calcified bony matrix, and osteoblasts, which refill erosion pits created by...
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SubjectTerms 3T3 Cells
Animals
Apoptosis
Autocrine Communication - genetics
Autocrine signalling
Biocompatibility
Biology
Biology and Life Sciences
Biomedical materials
Bone Density - physiology
Bone mineral density
Bone remodeling
Bone Remodeling - genetics
Cell culture
Cell Differentiation - genetics
Computer and Information Sciences
Coordination compounds
Cytokines
Datasets
Datasets as Topic
Deoxyribonucleic acid
Differentiation
DNA
DNA binding proteins
DNA chips
DNA microarrays
Endocrinology
Extracellular matrix
Extracellular Matrix - physiology
Gene expression
Gene Expression Profiling
Gene Regulatory Networks - physiology
Growth factors
Hormones
Kinases
Maturation
Mechanical properties
Medicine
Medicine and Health Sciences
Mesenchyme
Metabolism
Mice
Mineralization
Network analysis
Oligonucleotide Array Sequence Analysis
Osteoblastogenesis
Osteoblasts
Osteoblasts - physiology
Osteoclastogenesis
Osteoclasts
Osteogenesis - genetics
Paracrine Communication - genetics
Paracrine signalling
Pluripotency
Proteins
Research and Analysis Methods
Signal transduction
Signal Transduction - genetics
Stem cells
TRANCE protein
Transcriptome - physiology
Tumor necrosis factor-TNF
Tumor necrosis factor-α
Wnt protein
β-Catenin
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Title Transcriptomic characterization of signaling pathways associated with osteoblastic differentiation of MC-3T3E1 cells
URI https://www.ncbi.nlm.nih.gov/pubmed/30608923
https://www.proquest.com/docview/2163346246
https://search.proquest.com/docview/2164102034
https://pubmed.ncbi.nlm.nih.gov/PMC6319725
https://doaj.org/article/a2dcf0467f014bbbb7d264e131ad3d2b
http://dx.doi.org/10.1371/journal.pone.0204197
Volume 14
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