Back

Characterizing the dual regulation of Neisseria gonorrhoeae tdfJ in response to zinc and iron

Padmanabhan, S.; Stoudenmire, J. L.; Branch, A. H.; Cornelissen, C. N.

2024-08-01 molecular biology
10.1101/2024.08.01.606247 bioRxiv
Show abstract

Gonorrhea is a sexually transmitted infection, caused by the bacterial pathogen Neisseria gonorrhea (Ngo) and affects millions of individuals of all age groups across the globe every year. Infection with Ngo does not result in protection and no effective vaccine has been developed, leaving antibiotics as the only treatment option. With the emergence of strains showing high levels of antibiotic resistance, there is an urgent need for development of novel therapeutics for disease prevention. During pathogenesis the host employs nutritional immunity, to restrict important transition metals such as zinc away from Ngo. This process is counteracted in Ngo by the production of highly efficient zinc import TonB-dependent Transporters (TDTs) which are promising vaccine antigens and zinc shuttle ABC transporters found to be important for intracellular survival. In Ngo zinc homeostasis and transport proteins are regulated by the Zinc uptake regulator (Zur) which represses transcription in the presence of zinc and activates transcription in the absence of zinc. In this study, characterize the promoter elements of the zinc import TDT, tdfJ, which results in dual regulation by zinc and iron. We characterize specificity and binding affinities for regulation of tdfJ by a second regulator, Ferric uptake regulator (Fur) in response to iron. The response of tdfJ to both iron and zinc and its potential to be an important invasin, makes it an attractive candidate to investigate female genital tract infections. The female genital tract is a conglomerate of these conditions and infections here are often asymptomatic. Taken together, this research provides important knowledge on the regulation of virulence mechanisms in response to zinc, which will aid in the development of therapeutics and an efficacious vaccine against a gonococcal infection.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.