PXD028016
PXD028016 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Identification of Toxoplasma gondii circulating antigens by mass spectrometry |
| Description | Serological diagnostic methods (anti-T. gondii IgM and IgG) and PCR-based diagnosis are the two main methods used to diagnose acute toxoplasmosis. However, serological assays pose limitations, such as IgM false positives, the long-lasting presence of residual specific Abs, and potential IgG immaturity, complicating diagnostic decision making. Moreover, PCR-based diagnosis is not always useful in the case of acute acquired toxoplasmosis. T. gondii excretory-secretory Ags (ESAs) form the majority of the circulating Ags (CAgs) present in serum of patients with acute toxoplasmosis and have been proven to be useful and valuable for acute toxoplasmosis diagnosis. Additionally, the infection route has no effect on the detection of CAgs. Particularly, they have been shown to exist in the cerebrospinal fluid of HIV-infected patients with cerebral toxoplasmosis. Thus, screening and identification of diagnostic markers from CAg components can therefore help to improve the accuracy of acute toxoplasmosis diagnosis. |
| HostingRepository | iProX |
| AnnounceDate | 2021-08-18 |
| AnnouncementXML | Submission_2021-08-18_20:50:52.063.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | QuanWang |
| SpeciesList | scientific name: Toxoplasma gondii RH; NCBI TaxID: 383379; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Q Exactive |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2021-08-18 20:40:10 | ID requested | |
| ⏵ 1 | 2021-08-18 20:50:52 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: Toxoplasma gondii, Circulating antigens, LC-MS/MS |
Contact List
| QuanWang | |
|---|---|
| contact affiliation | Shanghai Veterinary Research Institute |
| contact email | wangquan@shvri.ac.cn |
| lab head | |
| QuanWang | |
| contact affiliation | Shanghai Veterinary Research Institute |
| contact email | wangquan@shvri.ac.cn |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |
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