PXD025974 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Prussian carp skin mucus proteomics |
Description | Here we provide dataset from a proteomic experiment, using trypsin digestion, and reversed-phase chromatography (RPC) with tandem mass spectrometr (RPC-MS/MS), in order to relatively quantify the protein composition of skin mucus of Prussian carp Carassius gibelio. The main aim of the project is to identify the proteins specifically assotiated with fish inhabits euthophic shallow lakes lake Chany Lake (West Siberia). |
HostingRepository | PRIDE |
AnnounceDate | 2021-05-27 |
AnnouncementXML | Submission_2021-05-27_00:10:07.313.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Elena Kashinskaya |
SpeciesList | scientific name: Carassius gibelio; NCBI TaxID: 101364; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue; deamidated residue |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2021-05-12 01:48:41 | ID requested | |
⏵ 1 | 2021-05-27 00:10:07 | announced | |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: Carassius gibelio, reversed-phase chromatography, Chany Lake, skin mucus, teleost |
Contact List
Mikhail M. Solovyev |
contact affiliation | Research Group of Physiology and Genetics of Hydrobionts, Institute of Systematics and Ecology of Animals of Siberian Branch of Russian Academy of Sciences, Russia |
contact email | yarmak85@mail.ru |
lab head | |
Elena Kashinskaya |
contact affiliation | Institute of Systematics and Ecology of Animals of Siberian Branch of Russian Academy of Sciences |
contact email | elena.kashinskaya@inbox.ru |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD025974
- Label: PRIDE project
- Name: Prussian carp skin mucus proteomics