Dataset Information

Synergistically bifunctional magnetic beads enable efficient isolation of urine extracellular vesicles and downstream phosphoproteomic analysis

ABSTRACT: Capture of urinary EVs with different functionalized magnetic beads and analysis of their phosphoproteome

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

DISEASE(S): Prostate Adenocarcinoma

SUBMITTER: Jie Sun

LAB HEAD: W. Andy Tao

PROVIDER: PXD020573 | Pride | 2025-08-25

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	Can1_2520phos_Slot2-19_1_350.mgf	Mgf
	Can1_phos_Slot2-19_1_350.d.zip	Other
	Can1_phos_Slot2-19_1_350_5.2.216.mgf	Mgf
	Can2_phos_Slot2-20_1_351.d.zip	Other
	Can2_phos_Slot2-20_1_351_5.2.216.mgf	Mgf

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Publications

PTMFusionNet: A Deep Learning Approach for Predicting Disease Related Post-translational Modification and Classifying Disease Subtypes.

Ni Jie J Zhou Yifan Y Li Bin B Zhang Xinting X Deng Yuanyuan Y Sun Jie J Yan Donghui D Jing Shengqi S Lu Shan S Xie Zhuoying Z Zhang Xin X Liu Yun Y

Molecular & cellular proteomics : MCP 20250602 7

With the advancement of technologies such as mass spectrometry, it has become possible to simultaneously perform large-scale detection of protein intensity and corresponding post-translational modification (PTM) information, thereby facilitating clinical diagnosis and treatment. However, existing PTM information is insufficient to fully integrate with protein expression data. We propose a deep learning method called PTMFusionNet, which predicts potential disease-related PTMs and integrates them ...[more]

PMID: 40466864

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