↓ Skip to main content

Novel combination of collagen dynamics analysis and transcriptional profiling reveals fibrosis-relevant genes and pathways

Overview of attention for article published in Matrix Biology, May 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
53 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Novel combination of collagen dynamics analysis and transcriptional profiling reveals fibrosis-relevant genes and pathways
Published in
Matrix Biology, May 2013
DOI 10.1016/j.matbio.2013.04.005
Pubmed ID
Authors

Marjolein E. Blaauboer, Claire L. Emson, Lars Verschuren, Marjan van Erk, Scott M. Turner, Vincent Everts, Roeland Hanemaaijer, Reinout Stoop

Abstract

Collagen deposition is a key process during idiopathic pulmonary fibrosis; however, little is known about the dynamics of collagen formation during disease development. Tissue samples of early stages of human disease are not readily available and it is difficult to identify changes in collagen content, since standard collagen analyses do not distinguish between 'old' and 'new' collagen. Therefore, the current study aimed to (i) investigate the dynamics of new collagen formation in mice using bleomycin-induced lung fibrosis in which newly synthesized collagen was labeled with deuterated water and (ii) use this information to identify genes and processes correlated to new collagen formation. Lung fibrosis was induced in female C57Bl/6 mice by bleomycin instillation. Animals were sacrificed at 1 to 5 weeks after fibrosis induction. Collagen synthesized during the week before sacrifice was labeled with deuterium by providing mice with deuterated drinking water. After sacrifice, we collected lung tissue for microarray analysis, determination of new collagen formation, and histology. Furthermore, we measured in vitro the expression of selected genes after transforming growth factor (TGF) β₁-induced myofibroblast differentiation. Deuterated water labeling showed a strong increase in new collagen formation already during the first week after fibrosis induction and a complete return to baseline at five weeks. Correlation of new collagen formation data with gene expression data allowed us to create a gene expression signature of fibrosis within the lung and revealed fibrosis-specific processes, among which proliferation. This was confirmed by measuring cell proliferation and collagen synthesis simultaneously using deuterated water incorporation in a separate experiment. Furthermore, new collagen formation strongly correlated with gene expression of e.g. elastin, Wnt-1 inducible signaling pathway protein 1, tenascin C, lysyl oxidase, and type V collagen. Gene expression of these genes was upregulated in vitro in fibroblasts stimulated with TGFβ₁. Together, these data demonstrate, using a novel combination of technologies, that the core process of fibrosis, i.e. the formation of new collagen, correlates not only with a wide range of genes involved in general extracellular matrix production and modification but also with cell proliferation. The observation that the large majority of the genes which correlated with new collagen formation also were upregulated during TGFβ₁-induced myofibroblast differentiation provides further evidence for their involvement in fibrosis.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 4%
Denmark 1 2%
Germany 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 9 17%
Student > Master 7 13%
Student > Bachelor 4 8%
Professor > Associate Professor 4 8%
Other 8 15%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 26%
Biochemistry, Genetics and Molecular Biology 12 23%
Medicine and Dentistry 10 19%
Immunology and Microbiology 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 2 4%
Unknown 10 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 November 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Matrix Biology
#1,031
of 1,113 outputs
Outputs of similar age
#178,968
of 204,368 outputs
Outputs of similar age from Matrix Biology
#5
of 8 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,113 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 204,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.