Faculty Opinions recommendation of Revealing disease-associated pathways by network integration of untargeted metabolomics.

Author(s):  
Shinya Kuroda ◽  
Akira Terakawa
2016 ◽  
Vol 13 (9) ◽  
pp. 770-776 ◽  
Author(s):  
Leila Pirhaji ◽  
Pamela Milani ◽  
Mathias Leidl ◽  
Timothy Curran ◽  
Julian Avila-Pacheco ◽  
...  

2008 ◽  
Author(s):  
Albert J. Grudzinskas ◽  
Jonathan C. Clayfield
Keyword(s):  

Author(s):  
Fulpagare Priya K. ◽  
Nitin N. Patil

Social Network is an emerging e-service for Content Sharing Sites (CSS). It is an emerging service which provides reliable communication. Some users over CSS affect user’s privacy on their personal contents, where some users keep on sending annoying comments and messages by taking advantage of the user’s inherent trust in their relationship network. Integration of multiple user’s privacy preferences is very difficult task, because privacy preferences may create conflict. The techniques to resolve conflicts are essentially required. Moreover, these methods need to consider how users would actually reach an agreement about a solution to the conflict in order to offer solutions acceptable by all of the concerned users. The first mechanism to resolve conflicts for multi-party privacy management in social media that is able to adapt to different situations by displaying the enterprises that users make to reach a result to the conflicts. Billions of items that are uploaded to social media are co-owned by multiple users. Only the user that uploads the item is allowed to set its privacy settings (i.e. who can access the item). This is a critical problem as users’ privacy preferences for co-owned items can conflict. Multi-party privacy management is therefore of crucial importance for users to appropriately reserve their privacy in social media.


MIS Quarterly ◽  
2017 ◽  
Vol 41 (4) ◽  
pp. 1035-1058 ◽  
Author(s):  
Ni Huang ◽  
◽  
Yili Hong ◽  
Gordon Burtch ◽  
◽  
...  

Metabolites ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 476
Author(s):  
Joachim Kloehn ◽  
Matteo Lunghi ◽  
Emmanuel Varesio ◽  
David Dubois ◽  
Dominique Soldati-Favre

Apicomplexan parasites are responsible for devastating diseases, including malaria, toxoplasmosis, and cryptosporidiosis. Current treatments are limited by emerging resistance to, as well as the high cost and toxicity of existing drugs. As obligate intracellular parasites, apicomplexans rely on the uptake of many essential metabolites from their host. Toxoplasma gondii, the causative agent of toxoplasmosis, is auxotrophic for several metabolites, including sugars (e.g., myo-inositol), amino acids (e.g., tyrosine), lipidic compounds and lipid precursors (cholesterol, choline), vitamins, cofactors (thiamine) and others. To date, only few apicomplexan metabolite transporters have been characterized and assigned a substrate. Here, we set out to investigate whether untargeted metabolomics can be used to identify the substrate of an uncharacterized transporter. Based on existing genome- and proteome-wide datasets, we have identified an essential plasma membrane transporter of the major facilitator superfamily in T. gondii—previously termed TgApiAT6-1. Using an inducible system based on RNA degradation, TgApiAT6-1 was depleted, and the mutant parasite’s metabolome was compared to that of non-depleted parasites. The most significantly reduced metabolite in parasites depleted in TgApiAT6-1 was identified as the amino acid lysine, for which T. gondii is predicted to be auxotrophic. Using stable isotope-labeled amino acids, we confirmed that TgApiAT6-1 is required for efficient lysine uptake. Our findings highlight untargeted metabolomics as a powerful tool to identify the substrate of orphan transporters.


Talanta ◽  
2021 ◽  
Vol 230 ◽  
pp. 122313
Author(s):  
Andrea Cerrato ◽  
Cinzia Citti ◽  
Giuseppe Cannazza ◽  
Anna Laura Capriotti ◽  
Chiara Cavaliere ◽  
...  

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