Cargando…

Multiscale topology characterizes dynamic tumor vascular networks

Advances in imaging techniques enable high-resolution three-dimensional (3D) visualization of vascular networks over time and reveal abnormal structural features such as twists and loops, and their quantification is an active area of research. Here, we showcase how topological data analysis, the mat...

Descripción completa

Detalles Bibliográficos
Autores principales: Stolz, Bernadette J., Kaeppler, Jakob, Markelc, Bostjan, Braun, Franziska, Lipsmeier, Florian, Muschel, Ruth J., Byrne, Helen M., Harrington, Heather A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187234/
https://www.ncbi.nlm.nih.gov/pubmed/35687679
http://dx.doi.org/10.1126/sciadv.abm2456
_version_ 1784725125077139456
author Stolz, Bernadette J.
Kaeppler, Jakob
Markelc, Bostjan
Braun, Franziska
Lipsmeier, Florian
Muschel, Ruth J.
Byrne, Helen M.
Harrington, Heather A.
author_facet Stolz, Bernadette J.
Kaeppler, Jakob
Markelc, Bostjan
Braun, Franziska
Lipsmeier, Florian
Muschel, Ruth J.
Byrne, Helen M.
Harrington, Heather A.
author_sort Stolz, Bernadette J.
collection PubMed
description Advances in imaging techniques enable high-resolution three-dimensional (3D) visualization of vascular networks over time and reveal abnormal structural features such as twists and loops, and their quantification is an active area of research. Here, we showcase how topological data analysis, the mathematical field that studies the “shape” of data, can characterize the geometric, spatial, and temporal organization of vascular networks. We propose two topological lenses to study vasculature, which capture inherent multiscale features and vessel connectivity, and surpass the single-scale analysis of existing methods. We analyze images collected using intravital and ultramicroscopy modalities and quantify spatiotemporal variation of twists, loops, and avascular regions (voids) in 3D vascular networks. This topological approach validates and quantifies known qualitative trends such as dynamic changes in tortuosity and loops in response to antibodies that modulate vessel sprouting; furthermore, it quantifies the effect of radiotherapy on vessel architecture.
format Online
Article
Text
id pubmed-9187234
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Association for the Advancement of Science
record_format MEDLINE/PubMed
spelling pubmed-91872342022-06-21 Multiscale topology characterizes dynamic tumor vascular networks Stolz, Bernadette J. Kaeppler, Jakob Markelc, Bostjan Braun, Franziska Lipsmeier, Florian Muschel, Ruth J. Byrne, Helen M. Harrington, Heather A. Sci Adv Social and Interdisciplinary Sciences Advances in imaging techniques enable high-resolution three-dimensional (3D) visualization of vascular networks over time and reveal abnormal structural features such as twists and loops, and their quantification is an active area of research. Here, we showcase how topological data analysis, the mathematical field that studies the “shape” of data, can characterize the geometric, spatial, and temporal organization of vascular networks. We propose two topological lenses to study vasculature, which capture inherent multiscale features and vessel connectivity, and surpass the single-scale analysis of existing methods. We analyze images collected using intravital and ultramicroscopy modalities and quantify spatiotemporal variation of twists, loops, and avascular regions (voids) in 3D vascular networks. This topological approach validates and quantifies known qualitative trends such as dynamic changes in tortuosity and loops in response to antibodies that modulate vessel sprouting; furthermore, it quantifies the effect of radiotherapy on vessel architecture. American Association for the Advancement of Science 2022-06-10 /pmc/articles/PMC9187234/ /pubmed/35687679 http://dx.doi.org/10.1126/sciadv.abm2456 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Social and Interdisciplinary Sciences
Stolz, Bernadette J.
Kaeppler, Jakob
Markelc, Bostjan
Braun, Franziska
Lipsmeier, Florian
Muschel, Ruth J.
Byrne, Helen M.
Harrington, Heather A.
Multiscale topology characterizes dynamic tumor vascular networks
title Multiscale topology characterizes dynamic tumor vascular networks
title_full Multiscale topology characterizes dynamic tumor vascular networks
title_fullStr Multiscale topology characterizes dynamic tumor vascular networks
title_full_unstemmed Multiscale topology characterizes dynamic tumor vascular networks
title_short Multiscale topology characterizes dynamic tumor vascular networks
title_sort multiscale topology characterizes dynamic tumor vascular networks
topic Social and Interdisciplinary Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187234/
https://www.ncbi.nlm.nih.gov/pubmed/35687679
http://dx.doi.org/10.1126/sciadv.abm2456
work_keys_str_mv AT stolzbernadettej multiscaletopologycharacterizesdynamictumorvascularnetworks
AT kaepplerjakob multiscaletopologycharacterizesdynamictumorvascularnetworks
AT markelcbostjan multiscaletopologycharacterizesdynamictumorvascularnetworks
AT braunfranziska multiscaletopologycharacterizesdynamictumorvascularnetworks
AT lipsmeierflorian multiscaletopologycharacterizesdynamictumorvascularnetworks
AT muschelruthj multiscaletopologycharacterizesdynamictumorvascularnetworks
AT byrnehelenm multiscaletopologycharacterizesdynamictumorvascularnetworks
AT harringtonheathera multiscaletopologycharacterizesdynamictumorvascularnetworks