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...
Autores principales: | , , , , , , , |
---|---|
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 |