Evidence map›Paper›PMID 35372811›Full record

ArticleiScience2022

Spatial proteomics reveals subcellular reorganization in human keratinocytes exposed to UVA light.

Hellen Paula Valerio, Felipe Gustavo Ravagnani, Angela Paola Yaya Candela, Bruna Dias Carvalho da Costa, Graziella Eliza Ronsein, Paolo Di Mascio

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hellen Paula ValerioDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo 05508-000, Brazil.
Felipe Gustavo RavagnaniDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo 05508-000, Brazil.
Angela Paola Yaya CandelaDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo 05508-000, Brazil.
Bruna Dias Carvalho da CostaDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo 05508-000, Brazil.
Graziella Eliza RonseinDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo 05508-000, Brazil.
Paolo Di MascioDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo 05508-000, Brazil.
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of UV light on the skin have been extensively investigated. However, systematic information about how the exposure to ultraviolet-A (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 for over 1,600 proteins, of which about 200 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 one of the main targets 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.

Indexed as

Cell Biologyomicsproteomics

Identifiers

PMID35372811
PMCPMC8971936
OpenAlexW4220815001

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.