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Time-course proteomic analysis of irradiated human endothelial cells

ABSTRACT: The vascular endothelium is a hot spot in the response to radiation therapy for both tumors and normal tissues. To improve patient outcomes, interpretable systemic hypotheses are needed to help radiobiologists and radiation oncologists propose endothelial targets that could protect normal tissues from the adverse effects of radiation therapy and/or enhance its antitumor potential. To this end, we captured the kinetics of multi-omics layers – i.e. miRNome, targeted transcriptome, proteome and metabolome – in irradiated primary human endothelial cells cultured in vitro. We then designed a strategy of deep learning as in convolutional graph networks that facilitates unsupervised high-level feature extraction of important omics data to learn how ionizing radiation-induced endothelial dysfunction may evolve over time. Last, we present experimental data showing that some of the features identified using our approach are involved in the alteration of angiogenesis by ionizing radiation.

INSTRUMENT(S): 6520A Quadrupole Time-of-Flight LC/MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

DISEASE(S): Wounds And Injuries

SUBMITTER: Olivier Guipaud

LAB HEAD: Fabien Milliat

PROVIDER: PXD030572 | Pride | 2022-01-19

REPOSITORIES: Pride

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			Action	DRS
	120927_OG_SERIE1J2.7z	Other
	121214_121221_OG_SERIE2J4.7z	Other
	121217_130108_OG_SERIE1J4.7z	Other
	130103_OG_SERIE2J2.7z	Other
	130124_OG_SERIE1J3.7z	Other

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