Institut Català de la Salut
[Cano Á, Yubero ML, Millá C, Puerto-Belda V, Ruz JJ, Kosaka PM] Bionanomechanics Lab, Instituto de Micro y Nanotecnología, IMN-CNM (CSIC), Tres Cantos, Madrid, Spain. [Malumbres M] Cancer Cell Cycle Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
Vall d'Hebron Barcelona Hospital Campus
2025-01-10T13:11:40Z
2025-01-10T13:11:40Z
2024-11-15
Cancer; Cancer systems biology
Càncer; Biologia dels sistemes del càncer
Cáncer; Biología de sistemas del cáncer
Predicting the phenotypic impact of genetic variants and treatments is crucial in cancer genetics and precision oncology. Here, we have developed a noise decorrelation method that enables quantitative phase imaging (QPI) with the capability for label-free noninvasive mapping of intracellular dry mass fluctuations within the millisecond-to-second timescale regime, previously inaccessible due to temporal phase noise. Applied to breast cancer cells, this method revealed regions driven by thermal forces and regions of intense activity fueled by ATP hydrolysis. Intriguingly, as malignancy increases, the cells strategically expand these active regions to satisfy increasing energy demands. We propose parameters encapsulating key information about the spatiotemporal distribution of intracellular fluctuations, enabling precise phenotyping. This technique addresses the need for accurate, rapid functional screening methods in cancer medicine.
This work was partially supported by the Spanish Science and Innovation Ministry through projects RTI2018-099369-B-I00 (related doctoral fellowship [FPI] PRE2019-087448), AES (DTS21/00136)/ISCIII/EU/FEDER, “CELLBIOPHYS” (PID2021-126993OB-I00/MCIN/AEI/10.13039/501100011033/FEDER, UE), “ONCOLIGHT” (PDC2022-133503- I00/MCIN/AEI/10.13039/501100011033/European Union/Next Generation EU/PRTR), and “ONCODEEPLASM” (PLEC2021- 007892/MCIN/AEI/10.13039/501100011033/European Union/Next Generation EU/PRTR) and by Comunidad Autónoma de Madrid (Y2020/BIO- 65194 scCANCER-CM). This work has also been supported by private FERO Foundation and Elena Torres Cancer Association funding. We acknowledge the service from the Micro and Nanofabrication Laboratory and X-SEM laboratory at IMN-CNM funded by the Comunidad Autónoma de Madrid (project S2018/NMT-4291 TEC2SPACE) and by MINECO (project CSIC13-4E-1794 with support from FEDER, FSE).
Article
Published version
English
Mama - Càncer - Aspectes genètics; Imatges - Processament; Fenotip; Cèl·lules canceroses; Estereologia; PHENOMENA AND PROCESSES::Genetic Phenomena::Phenotype; DISEASES::Neoplasms::Neoplasms by Site::Breast Neoplasms; Other subheadings::Other subheadings::Other subheadings::/genetics; Image Processing Computer Assisted; ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Microscopy::Microscopy, Interference::Microscopy, Phase-Contrast; FENÓMENOS Y PROCESOS::fenómenos genéticos::fenotipo; ENFERMEDADES::neoplasias::neoplasias por localización::neoplasias de la mama; Otros calificadores::Otros calificadores::Otros calificadores::/genética; CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::procesamiento de imágenes asistido por ordenador; TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::microscopía::microscopía de interferencia::microscopía de contraste de fases
Elsevier
iScience;27(11)
https://doi.org/10.1016/j.isci.2024.110960
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/