Evidence map›Paper›PMID 29980078›Full record

ArticleBiomaterials2018

3D organizational mapping of collagen fibers elucidates matrix remodeling in a hormone-sensitive 3D breast tissue model.

Zhiyi Liu, Lucia Speroni, Kyle P Quinn, Carlo Alonzo, Dimitra Pouli, Yang Zhang, Emily Stuntz, Carlos Sonnenschein, Ana M Soto, Irene Georgakoudi

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 33 citations in OpenAlex.

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  14. Tissue Imaging and Quantification Relying on Endogenous Contrast.Advances in experimental medicine and biology · 2021
    Review
  15. Article
  16. Geometric characteristics of collagen have independent prognostic significance in breast ductal carcinoma in situ: an image analysis study.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2019
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Zhiyi LiuDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA; Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Lucia SperoniDepartment of Integrative Physiology and Pathobiology, Tufts University School of Medicine, Boston, MA 02111, USA.
Kyle P QuinnDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA; Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Carlo AlonzoDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Dimitra PouliDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Yang ZhangDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Emily StuntzDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Carlos SonnenscheinDepartment of Integrative Physiology and Pathobiology, Tufts University School of Medicine, Boston, MA 02111, USA.
Ana M SotoDepartment of Integrative Physiology and Pathobiology, Tufts University School of Medicine, Boston, MA 02111, USA.
Irene GeorgakoudiDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA. Electronic address: Irene.Georgakoudi@tufts.edu.
Tufts University · USMassachusetts General Hospital · US

Funding

Mechanisms of developmental toxicity of Bisphenol-AR01ES008314 · NIEHS · TUFTS UNIVERSITY BOSTON · PI SOTO, ANA · 1996 to 2016
$6.8M
Non-invasive label-free quantitative imaging for chronic wound characterizationR00EB017723 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2015 to 2017
$745k
Non-invasive label-free quantitative imaging for chronic wound characterizationK99EB017723 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI QUINN, KYLE PATRICK · 2014 to 2014
$78k
NIBIB NIH HHS K99 EB017723NIBIB NIH HHS R00 EB017723NIEHS NIH HHS R01 ES008314
6 · The paper itself

Abstract

Hormones play an important role in normal and diseased breast tissue development. However, they can also disrupt cell-matrix interactions and their role in extracellular matrix reorganization during epithelial morphogenesis remains poorly understood, partly due to a lack of sensitive approaches for matrix characterization. Here, we assess the hormonal regulation of matrix reorganization in a three-dimensional (3D) breast tissue culture model using a novel metric, i.e., 3D directional variance, to characterize the 3D organization of collagen fibers visualized via high-resolution, second harmonic generation imaging. This metric enables resolving and quantifying patterns of spatial organization throughout the matrix surrounding epithelial structures treated with 17β-estradiol (E2) alone, and E2 in combination with either promegestone, a progestogen, or prolactin. Addition of promegestone results in the most disorganized fibers, while the E2 alone treatment leads to the most organized ones. Location-dependent organization mapping indicates that only the prolactin treatment leads to significant heterogeneities in the regional organization of collagen fibers, with higher levels of alignment observed at the end of the elongated epithelial structures. The observed collagen organization patterns for all groups persist for tens of micrometers. In addition, a comparison between 3D directional variance and typical 2D analysis approaches reveals an improved sensitivity of the 3D metric to identify organizational heterogeneities and differences among treatment groups. These results demonstrate that 3D directional variance is sensitive to subtle changes in the extracellular micro-environment and has the potential to elucidate reciprocal cell-matrix interactions in the context of numerous applications involving the study of normal and diseased tissue morphogenesis.

Indexed as

BreastCollagenEstradiolFemaleHumansProgestinsProlactinPromegestoneCollagenEstradiolProgestinsProlactinPromegestoneCollagen fiberHormone treatmentMulti-photon microscopyThree-dimensional breast tissue modelThree-dimensional organization

Identifiers

PMID29980078
PMCPMC6176712
OpenAlexW2811271664

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.