Metabolomics

Dataset Information

0

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


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 new perspective for therapeutic interventions in cancer metastasis.

INSTRUMENT(S): Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Yixin Liu 

PROVIDER: MTBLS9657 | MetaboLights | 2024-03-25

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS9657 Other
FILES Other
a_MTBLS9657_LC-MS_positive_reverse-phase_metabolite_profiling.txt Txt
i_Investigation.txt Txt
m_MTBLS9657_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv Tabular
Items per page:
1 - 5 of 6

Similar Datasets

2018-07-04 | E-MTAB-6643 | biostudies-arrayexpress
| PRJNA766812 | ENA
2018-08-25 | GSE87841 | GEO
2010-03-23 | GSE21010 | GEO
2019-07-29 | E-MTAB-6823 | biostudies-arrayexpress
2020-04-23 | PXD010425 | Pride
2010-05-27 | E-GEOD-21566 | biostudies-arrayexpress
2010-03-23 | GSE21008 | GEO
2021-06-23 | GSE140679 | GEO
2010-05-05 | E-GEOD-21010 | biostudies-arrayexpress