DNA nanomachines reveal an adaptive energy mode in confinement-induced amoeboid migration powered by polarized mitochondrial distribution.

Proc Natl Acad Sci U S A

Department of Chemistry, Shanghai Stomatological Hospital, State Key Lab of Molecular Engineering of Polymers, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai 200438, China.

Published: April 2024

AI Article Synopsis

  • Energy metabolism and cell migration are closely linked, with mechanical confinement influencing different movement styles, particularly the transition from mesenchymal to amoeboid movement.
  • This study used DNA-based nanomachines to investigate how mitochondria and ATP levels change during cell migration in varied mechanical environments.
  • Findings revealed that fast-moving amoeboid cells conserve energy better than their mesenchymal counterparts by repositioning mitochondria, suggesting potential therapeutic strategies for targeting cancer metastasis.

Article Abstract

Energy metabolism is highly interdependent with adaptive cell migration in vivo. Mechanical confinement is a critical physical cue that induces switchable migration modes of the mesenchymal-to-amoeboid transition (MAT). However, the energy states in distinct migration modes, especially amoeboid-like stable bleb (A2) movement, remain unclear. In this report, we developed multivalent DNA framework-based nanomachines to explore strategical mitochondrial trafficking and differential ATP levels during cell migration in mechanically heterogeneous microenvironments. Through single-particle tracking and metabolomic analysis, we revealed that fast A2-moving cells driven by biomimetic confinement recruited back-end positioning of mitochondria for powering highly polarized cytoskeletal networks, preferentially adopting an energy-saving mode compared with a mesenchymal mode of cell migration. We present a versatile DNA nanotool for cellular energy exploration and highlight that adaptive energy strategies coordinately support switchable migration modes for facilitating efficient metastatic escape, offering a unique perspective for therapeutic interventions in cancer metastasis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10998588PMC
http://dx.doi.org/10.1073/pnas.2317492121DOI Listing

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