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PXD027941 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleSpatial proteomics reveals profound subcellular reorganization in human keratinocytes exposed to UVA light
DescriptionThe effects of UV light on the skin have been extensively investigated. However, systematic information about how exposure to UVA light, the least energetic but the most abundant UV radiation reaching the Earth, shapes the subcellular organization of proteins is lacking. Using subcellular fractionation, mass-spectrometry-based proteomics, machine learning algorithms, immunofluorescence, and functional assays, we mapped the subcellular reorganization of the proteome of human keratinocytes in response to UVA light. Our workflow quantified and assigned subcellular localization and redistribution patterns for over 3000 proteins, of which about 600 were found to redistribute upon UVA exposure. Reorganization of the proteome affected modulators of signaling pathways, cellular metabolism and DNA damage response. Strikingly, mitochondria were identified as the main target of UVA-induced stress. Further investigation demonstrated that UVA induces mitochondrial fragmentation, up-regulates redox-responsive proteins and attenuates respiratory rates. These observations emphasize the role of this radiation as a potent metabolic stressor in the skin.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterHellen Valerio
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-08-16 02:14:39ID requested
12022-03-06 14:23:19announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: spatial proteomics, keratinocytes, UVA light
Contact List
Paolo Di Mascio
contact affiliationInstitute of Chemistry, University of São Paulo
contact emailpdmascio@iq.usp.br
lab head
Hellen Valerio
contact affiliationUniversidade de São Paulo
contact emailhellen.valerio@usp.br
dataset submitter
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Dataset FTP location
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