ArticleExperimental dermatology2014
Signalling protein complexes isolated from primary human skin-resident T cells can be analysed by Multiplex IP-FCM.
Article in Experimental dermatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- The association between rs2476601 polymorphism in PTPN22 gene and risk of alopecia areata: A meta-analysis of case-control studies.Medicine · 2019Pooled it
- Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation.Journal of visualized experiments : JoVE · 2019Article
- Synaptic activity induces input-specific rearrangements in a targeted synaptic protein interaction network.Journal of neurochemistry · 2018Article
- Multiplex matrix network analysis of protein complexes in the human TCR signalosome.Science signaling · 2016Article
- Association between PTPN22 C1858T polymorphism and alopecia areata risk.Experimental and therapeutic medicine · 2015Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Studying signal transduction in skin-resident T cells (sr-T cells) can be limited by the small size of clinical biopsies. Here, we isolated sr-T cells from clinical samples and analysed signalling protein complexes by multiplex immunoprecipitation detected by flow cytometry (mIP-FCM). In samples from two independent donors, antigenic stimulation induced signalling proteins to join shared complexes that were observed in seven pairwise combinations among five proteins. This demonstrates that sr-T cells isolated from small clinical samples provide sufficient material for mIP-FCM-based analysis of signalling-induced protein complexes. We propose that this strategy may be useful for gaining improved mechanistic insight of sr-T cell signal transduction associated with dermatological disease.
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