B1 Vertaisarvioitu muu artikkeli (esim. pääkirjoitus, letter, comment) tieteellisessä lehdessä
Time, the final frontier
Tekijät: Follain, Gautier; Dibus, Michal; Joshi, Omkar; Jacquemet, Guillaume
Kustantaja: WILEY
Kustannuspaikka: HOBOKEN
Julkaisuvuosi: 2025
Journal: Molecular Oncology
Tietokannassa oleva lehden nimi: MOLECULAR ONCOLOGY
Lehden akronyymi: MOL ONCOL
Sivujen määrä: 6
ISSN: 1574-7891
eISSN: 1878-0261
DOI: https://doi.org/10.1002/1878-0261.70025
Verkko-osoite: https://doi.org/10.1002/1878-0261.70025
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/491440443
Cancer's notorious heterogeneity poses significant challenges, as each tumor comprises a unique ecosystem. While single-cell and spatial transcriptomics advancements have transformed our understanding of spatial diversity within tumors, the temporal dimension remains underexplored. Tumors are dynamic entities that continuously evolve and adapt, and relying solely on static snapshots obscures the intricate interplay between cancer cells and their microenvironment. Here, we advocate for integrating temporal dynamics into cancer research, emphasizing a fundamental shift from traditional endpoint experiments to data-driven, continuous approaches. This integration involves, for instance, the development of advanced live imaging techniques, innovative temporal omics methodologies, and novel computational tools.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
This article was supported by the Research Council of Finland (338537 to GJ), the Sigrid Juselius Foundation (to GJ), the Cancer Society of Finland (Syöpäjärjestöt; to GJ), and the Solutions for Health strategic funding to Åbo Akademi University (to GJ).This research was also supported by the InFLAMES Flagship Programme of the Academy of Finland (decision numbers: 337530, 337531, 357910, 35791). GF was supported by the Turku Collegium for Science, Medicine, and Technologies. MD was supported by the European Union’s Horizon Europe research and innovation program under the Marie Sklodowska-Curie grant agreement no.: 101108089. OJ was supported by the University of Turku Graduate School Doctoral Programme in Technology (DPT) (#2300668) and the Finland Fellowship 2023.
