Wang_Yemelyanov_BioID_alpha_catenin_2024
Ontology highlight
ABSTRACT:
INSTRUMENT(S): LTQ Orbitrap Elite
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Dr. Anne Claude Gingras
PROVIDER: MSV000096786 | MassIVE | Mon Jan 06 17:20:00 GMT 2025
SECONDARY ACCESSION(S): PXD059476
REPOSITORIES: MassIVE
Similar Datasets
Project description:This dataset consists of 94 raw MS files and associated peak lists and result files, acquired on Velos Orbitrap Elite mass spectrometer operated in Data Dependent Acquisition mode. All samples are BioID experiments, performed in HEK293 Flp-In T-REx cells for confirmation of localization predictions. Sample preparation and mass spectrometric acquisition were performed by Christopher Go. The files are associated with a manuscript submitted for publication by Go et al. that describes the generation of a proximity-dependent biotinylation (BioID) map of a human cell. Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
| MSV000084369 | MassIVE
Project description:This dataset consists of 94 raw MS files and associated peak lists and result files, acquired on a Velos Orbitrap Elite mass spectrometer operated in Data Dependent Acquisition mode. All samples are BioID experiments on new ER and mitochondrial contact protein candidates, performed in HEK293 Flp-In T-REx cells using high concentrations of SDS for lysis and washes. Sample preparation and mass spectrometric acquisition were performed by Christopher Go. The files are associated with a manuscript by Go et al. that describes generation of a proximity dependent biotinylation (BioID) map of a human cell. Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
| MSV000084357 | MassIVE
Project description:This dataset consists of 404 raw MS files and associated peak lists and result files, acquired on Velos Orbitrap Elite mass spectrometer operated in Data Dependent Acquisition mode. All samples are BioID experiments, performed in HEK293 Flp-In T-REx cells from organellar and other subcellular markers using a protocol with high concentrations of SDS for washes. Sample preparation and mass spectrometric acquisition were performed by Christopher Go. The files are associated with a manuscript by Go et al. that describes generation of a proximity-dependent biotinylation (BioID) map of a human cell. Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
| MSV000084360 | MassIVE
Project description:This dataset consists of 68 raw MS files and associated peak lists and result files, acquired on Velos Orbitrap Elite mass spectrometer operated in Data Dependent Acquisition mode. All samples are BioID experiments, performed in HEK293 Flp-In T-REx cells from organellar and other subcellular markers using a protocol with low concentrations of SDS for lysis and washes. Sample preparation and mass spectrometric acquisition were performed by Christopher Go. The files are associated with a manuscript by Go et al. that describes generation of a proximity-dependent biotinylation (BioID) map of a human cell. Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
| MSV000084359 | MassIVE
Project description:This dataset consists of 44 raw MS files, comprising 27 DIA (SWATH) and 15 DDA runs on a TripleTOF 5600 and of two raw mass spectrometry files acquired on a Q Exactive. The composition of the dataset is described in the manuscript by Tsou et al., titled: "DIA-Umpire: comprehensive computational framework for data independent acquisition proteomics", Nature Methods, in press Raw files are deposited here in ProteomeXchange and are associated with the DIA-Umpire processed data. All DIA-Umpire processed results for each sample together with DDA results are deposited in separated folders. Also see the "DataSampleID.xlsx" associated with this Readme file. Internal reference from the Gingras lab ProHits implementation: Project 94, Export version VS2 (Tsou_DIA-Umpire)
2015-01-21 | PXD001587 | Pride
Project description:This submission contains the mass spectrometry files for the manuscript by Chapman and colleagues that characterize KRI-1 in C. elegans by affinity purification experiments of KRI-1 fused to GFP. Controls used for this experiment include ACT-5 fused to GFP and N2 worms. This dataset consists of 18 raw MS files and associated with peak lists (mzML) and mass spectrometry results (mzid) in standard formats, acquired on a Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap operated in DDA mode. Samples were generated by Eric Chapman and affinity purification, mass spectrometric acquisition and analysis was performed by Christopher Go. Raw files are deposited here in MassIVE. Brent Derry is the corresponding author of the manuscript (brent.derry@sickkids.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
2018-05-24 | MSV000082400 | MassIVE
Project description:This dataset consists of 18 raw MS files and associated peak lists and results files, acquired on AB Sciex TripleTOF 6600 mass spectrometer operated in Data Dependent Acquisition mode.
Mass spectrometry acquisition was performed by Shen Zhang. Analysis was performed by Brett Larsen, Anne-Claude Gingras, and Shen Zhang.
The files are associated with a manuscript submitted for publication by Shen Zhang et al. The main goal of this paper was to further optimize a no dynamic exclusion (noDE) strategy for analysis of protein-protein interactions. This dataset presents a noDE strategy which identifies more high confidence protein interactors than traditional data-dependent acquisition (DDA) with DE and data-independent acquisition (DIA) approaches.
Anne-Claude Gingras is the corresponding author of the manuscript (gingras@lunenfeld.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca)
2022-02-17 | MSV000088852 | MassIVE
Project description:This dataset consists of 10 raw MS files and associated peak lists and results files, acquired on AB Sciex TripleTOF 6600 mass spectrometer operated in Data Dependent Acquisition mode.
Samples were generated by Cassandra Wong. Mass spectrometry acquisition was performed by Cassandra Wong and Shen Zhang. Analysis was performed by Brett Larsen, Karen Colwill, Anne-Claude Gingras, Cassandra Wong, and Shen Zhang.
The files are associated with a manuscript submitted for publication by Shen Zhang et al. The main goal of this paper was to further optimize a no dynamic exclusion (noDE) strategy for analysis of protein-protein interactions. This dataset presents a noDE strategy which identifies more high confidence protein interactors than traditional data-dependent acquisition (DDA) with DE and data-independent acquisition (DIA) approaches.
Anne-Claude Gingras is the corresponding author of the manuscript (gingras@lunenfeld.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca)
2022-02-17 | MSV000088856 | MassIVE
Project description:This dataset consists of 9 raw MS files and associated peak lists and results files, acquired on AB Sciex TripleTOF 6600 mass spectrometer operated in Data Independent Acquisition mode.
Samples were generated by Dushyandi Rajendran and Shen Zhang. Mass spectrometry acquisition was performed by Shen Zhang. Analysis was performed by Brett Larsen, Ji-Young Youn, Anne-Claude Gingras, and Shen Zhang.
The files are associated with a manuscript submitted for publication by Shen Zhang et al. The main goal of this paper was to further optimize a no dynamic exclusion (noDE) strategy for analysis of protein-protein interactions. This dataset presents a noDE strategy which identifies more high confidence protein interactors than traditional data-dependent acquisition (DDA) with DE and data-independent acquisition (DIA) approaches.
Anne-Claude Gingras is the corresponding author of the manuscript (gingras@lunenfeld.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca)
2022-02-17 | MSV000088855 | MassIVE
Project description:This dataset consists of 9 raw MS files and associated peak lists and results files, acquired on AB Sciex TripleTOF 6600 mass spectrometer operated in Data Dependent Acquisition mode.
Samples were generated by Dushyandi Rajendran and Shen Zhang. Mass spectrometry acquisition was performed by Shen Zhang. Analysis was performed by Brett Larsen, Ji-Young Youn, Anne-Claude Gingras, and Shen Zhang.
The files are associated with a manuscript submitted for publication by Shen Zhang et al. The main goal of this paper was to further optimize a no dynamic exclusion (noDE) strategy for analysis of protein-protein interactions. This dataset presents a noDE strategy which identifies more high confidence protein interactors than traditional data-dependent acquisition (DDA) with DE and data-independent acquisition (DIA) approaches.
Anne-Claude Gingras is the corresponding author of the manuscript (gingras@lunenfeld.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca)
2022-02-17 | MSV000088854 | MassIVE