Metadata |
datasetIdentifier | PASS00300 |
datasetType | MSMS |
submitter | Matthew Champion <mchampio@nd.edu> |
submitter_organization | University of Notre Dame |
lab_head_full_name | Giles E. Duffield/Matthew M. Champion |
lab_head_email | gduffiel@nd.edu; mchampio@nd.edu |
lab_head_organization | University of Notre Dame |
lab_head_country | United States |
datasetTag | anoph_proteome |
datasetTitle | Multiple MS/MS (Orbitrap QE/Velos) of Anopheles gam. heads, total head appendages (THAs) and antennae and compound eyes; used as empirical data for MRM analysis. |
publicReleaseDate | 2013-08-22 00:00:00 |
finalizedDate | 2016-03-21 06:59:42 |
summary | Approximately 9 LC/MS/MS files including metadata searched
12-2015
The updated dataset explored the protein composition of specific Anopheles gambiae mosquitomosquito head tissue isolates, with particular relevance to brain function, and the sensory modalities of vision, olfaction and gustation. We characterized the proteomes of isolated adult female An. gambiae mosquito tissues using a combination LC/MS/MS and targeted LC/MRM analysis; specifically whole mosquito head with all appendages attached, compound eyes, total head appendages (THAs; maxillary palps, antennae and proboscises), and antennae. Proteomics data were acquired on single-dimension LC/MS/MS runs using an LTQ Velos Orbitrap instrument (Thermo Fisher Scientific) The combined injections from Anopheles tissue yielded 8230 peptide identifications at a 1% false discovery rate (FDR) and 8350 at a 5% FDR, and 1,322 non-redundant protein identifications. Many of these identifications were subsequently validated using targeted LC/MRM based approaches; making this one of the largest representative collections of isolated head tissue protein identifications in mosquitoes to-date, with tissue specific quantification and detection. These data are also made available through vectorbase (http://funcgen.vectorbase.org/peptides/Anopheles_gambiae/Rund-et-al/v1) |
contributors | Matthew M. Champion
Giles E. Dufield
Aaron D Sheppard
Stephanie A. Freed
Joseph E. O'Tousa
Sam S.C. Rund
|
publication | 1.) RRund SS, Bonar NA, Champion MM, Ghazi JP, Houk CM, Leming MT, Syed Z, & Duffield GE., Daily Rhythms in antennal protein and olfactory sensitivity in the malaria mosquito Anopheles gambiae Scientific Reports 2013;3:2494
PMID: 23986098
and
2.) Champion MM, Sheppard, AD, Rund SSC, Freed SA, O'Tousa, JE and Duffield, GE
Qualitative and quantitative proteomics methods for the analysis of the Anopheles gambiae mosquito proteome
Short Views on Insect and Genomics Proteomics Chapter 2(Book Volume)Chapter 2 in ‘Short views on Insect Genomics and Proteomics’ book (Editors: T. Adeniran, R. Chandrasekar and M. Goldsmith), within the ‘Entomology in Focus’ book series (Editor: F.L. Cônsoli) (Springer publishers).
Springer Publishing
|
growth | See reference 1, 2 |
treatment | See reference 1, 2 |
extraction | See references,
1.) In Rund SS et al., liquid N2 and extraction with 2,2,2 TFE
2.) In Champion MM et al., Liquid N2 extraction followed by FASP |
separation | C18 LC/MS/MS |
digestion | TFE-Trypsin SDS-Urea trypsin |
acquisition | TOP 8 method Orbitrap Velos
Top 20 method QExactive |
informatics | mgf file conversion, searched with paragon/protein pilot ver 4.5beta. FDR calculated by Elias et al., target-decoy method FDR, peptide, protein data and meta data, and concatentated mgf included as three files. |
instruments | Thermo LTQ-Velos Orbitrap, AB Sciex 5500 Qtrap, Thermo QExactive |
species | Anopheles gambiae |
massModifications | iodoacetamide C+57.0215
Data searches were performed using Paragon PMID: 17533153 Shilov et al, Stantic and fixed modifications are probabilistic, not binary. |