Literature DB >> 34053031

Tissue Imaging and Quantification Relying on Endogenous Contrast.

Zhiyi Liu1, Jia Meng2, Kyle P Quinn3, Irene Georgakoudi4,5.   

Abstract

Cell-matrix interactions play an important role in regulating a variety of essential processes in multicellular organisms, and are closely associated with numerous diseases. Modified interactions have major effects upon key features of both cells and extracellular matrix (ECM), and a thorough understanding of changes in these features can lead to critically important insights of diseases as well as the identification of effective therapeutic targets. Here, we summarize recent advances in quantitative, optical imaging of cellular metabolism and ECM spatial organization using endogenous sources of contrast. Specifically, we focus on the two-photon excited fluorescence (TPEF) imaging of autofluorescent cellular coenzymes, NAD(P)H and FAD, for the extraction of metabolic information described by optical biomarkers including cellular redox state, NAD(P)H fluorescence lifetime, and mitochondrial clustering. We show representative applications in assessing adipose tissue function and detecting malignant lesions in human skin, and further demonstrate that a combination of these optical metrics can provide complementary insights into the underlying biological mechanisms. In addition, we review the development of quantitative analysis methods to extract spatial orientation and organization metrics of collagen fibers, a major ECM component, and demonstrate applications of these approaches in two and three dimensions in several diseases, including would healing, osteoarthritis and cancer, as well as assessments of matrix remodeling in hormone-regulated engineered breast tissues. Finally, we summarize this chapter and discuss important research directions that we expect will evolve in the near future.

Entities:  

Keywords:  Cancer; Cellular metabolism; Collagen fiber; Label-free imaging; Multi-photon microscopy; Three-dimensional organization

Year:  2021        PMID: 34053031     DOI: 10.1007/978-981-15-7627-0_12

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  87 in total

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Review 2.  Transmembrane crosstalk between the extracellular matrix--cytoskeleton crosstalk.

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Journal:  Nat Rev Mol Cell Biol       Date:  2001-11       Impact factor: 94.444

Review 3.  New functions for the matrix metalloproteinases in cancer progression.

Authors:  Mikala Egeblad; Zena Werb
Journal:  Nat Rev Cancer       Date:  2002-03       Impact factor: 60.716

Review 4.  Cellular metabolism and disease: what do metabolic outliers teach us?

Authors:  Ralph J DeBerardinis; Craig B Thompson
Journal:  Cell       Date:  2012-03-16       Impact factor: 41.582

Review 5.  Astrocyte-endothelial interactions at the blood-brain barrier.

Authors:  N Joan Abbott; Lars Rönnbäck; Elisabeth Hansson
Journal:  Nat Rev Neurosci       Date:  2006-01       Impact factor: 34.870

6.  Characterizing heterogeneous cellular responses to perturbations.

Authors:  Michael D Slack; Elisabeth D Martinez; Lani F Wu; Steven J Altschuler
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-03       Impact factor: 11.205

7.  Metabolic imaging by hyperpolarized 13C magnetic resonance imaging for in vivo tumor diagnosis.

Authors:  Klaes Golman; René In't Zandt; Mathilde Lerche; Rikard Pehrson; Jan Henrik Ardenkjaer-Larsen
Journal:  Cancer Res       Date:  2006-11-15       Impact factor: 12.701

Review 8.  A tense situation: forcing tumour progression.

Authors:  Darci T Butcher; Tamara Alliston; Valerie M Weaver
Journal:  Nat Rev Cancer       Date:  2009-02       Impact factor: 60.716

Review 9.  Growth factors, matrices, and forces combine and control stem cells.

Authors:  Dennis E Discher; David J Mooney; Peter W Zandstra
Journal:  Science       Date:  2009-06-26       Impact factor: 47.728

10.  Disruption of epithelial cell-matrix interactions induces apoptosis.

Authors:  S M Frisch; H Francis
Journal:  J Cell Biol       Date:  1994-02       Impact factor: 10.539

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