Protein–Protein Interaction Databases

Uroplakin 1a Interacts with Regucalcin and Proteasome Subunit Beta 1

Uroplakins (UPKs) are specialized proteins that plan an important role in protecting the epithelium of the bladder from toxic waste. We recently demonstrated the expression pattern of UPKs in the male reproductive tract and their importance in sperm function in murine models. However, the exact mechanisms through which UPKs affect spermatogenesis are not reported. In this study, using yeast two-hybrid screening was conducted to determine the interaction partners of Uroplakin 1a (UPK1A). Y2H Gold yeast strain overexpressing UPK1A was mated with Y187 yeast strain overexpressing human testis cDNA library and the mutants were plated on SD agar plates containing selection media. Colonies that grew on SD/-Trp, SD/-Leu, SD/-His, and SD/-Ade plates were isolated and evaluated to identify the interacting partners of UPK1A. Regucalcin (RGN) and proteasome subunit beta 1 (PSMB1) were identified as potential interaction partners. Using HEK cells that overexpress UPK1A and RGN or PMSB1, the co-localization and interaction were estimated with high-resolution microscopy and Pearson's coefficient. In light of the fact that UPK1A knockout caused subfertility and that the role of RGN and PSMB1 in spermatogenesis is documented, an interaction between UPK1A and RGN or PSMB1 could be required for spermatogenesis.

Polymorphisms in corticotrophin-releasing hormone-proopiomalanocortin (CRH-POMC) system genes: Neuroimmune contributions to psoriasis disease

BACKGROUND

Skin is a target organ and source of the corticotropin-releasing hormone-proopiomelanocortin (CRH-POMC) system, operating as a coordinator and executor of responses to stress. Environmental stress exacerbates and triggers inflammatory skin diseases through modifying the cellular components of the immune system supporting the importance of CRH-POMC system in the pathogenesis of psoriasis. The aim of this study was to analyse the association of CRH-POMC polymorphisms with psoriasis and evaluate transcript expression of lesional psoriatic and normal skin in RNA-seq data.

METHODS

Samples of 104 patients with psoriasis and 174 healthy controls were genotyped for 42 single nucleotide polymorphisms (SNPs) of CRH-POMC using Applied Biosystems SNPlex™ method. The transcript quantification was performed using Salmon software v1.3.0.

RESULTS

This study demonstrated the associations between melanocortin 1 receptor (MC1R) polymorphisms rs2228479, rs3212369, dopachrome tautomerase (DCT) polymorphisms rs7987802, rs2031526, rs9524501 and psoriasis in the Tatar population. Very strong association was evident for the SNP rs7987802 in the DCT gene (pc  = 5.95е-006) in psoriasis patients. Additionally, the haplotype analysis provided AT DCT (rs7992630 and rs7987802) and AGA MC1R (rs3212358, 2228479 and 885479) haplotypes significantly associated (pc  ˂ 0.05) with psoriasis in the Tatar population, supporting the involvement of DCT and MC1R to the psoriasis susceptibility. Moreover, MC1R-203 and DCT-201 expression levels were decreased in psoriasis lesional skin compared with healthy control skin.

CONCLUSIONS

This study is the first to identify genetic variants of the MC1R and DCT genes significantly associated with psoriasis in Tatar population. Our results support potential roles of CRH-POMC system genes and DCT in the pathogenesis of psoriasis.

Informed Use of Protein-Protein Interaction Data: A Focus on the Integrated Interactions Database (IID)

Protein-protein interaction data is fundamental in molecular biology, and numerous online databases provide access to this data. However, the huge quantity, complexity, and variety of PPI data can be overwhelming, and rather than helping to address research problems, the data may add to their complexity and reduce interpretability. This protocol focuses on solutions for some of the main challenges of using PPI data, including accessing data, ensuring relevance by integrating useful annotations, and improving interpretability. While the issues are generic, we highlight how to perform such operations using Integrated Interactions Database (IID; http://ophid.utoronto.ca/iid ).