Almeida_OTULIN_P36_LTQ_RAWonly
Ontology highlight
ABSTRACT:
INSTRUMENT(S): LTQ
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Anne-Claude Gingras
PROVIDER: MSV000092470 | MassIVE | Tue Jul 18 10:13:00 BST 2023
REPOSITORIES: MassIVE
Similar Datasets
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
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 | MSV000088853 | 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 Independent 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)
2022-02-18 | MSV000088862 | 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 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 | MSV000088858 | MassIVE
Project description:This dataset consists of 20 raw MS files and associated peak lists and result files, acquired on AB SCIEX 6600 TripleTOF mass spectrometer operated in Data Dependent Acquisition mode.
Samples were generated by Cassandra Wong. Affinity purifications, mass spectrometry acquisition and analysis were also performed by Cassandra Wong under the supervision Anne-Claude Gingras.
The files are associated with a manuscript submitted for publication by Agnieszka T. Kawashima et al. The main goal of this paper was to identify cell cycle dependent regulation of PHLPP1 and its interaction with mitotic proteins.
Alexandra Newton is the corresponding author of the manuscript (anewton@health.ucsd.edu); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
2020-06-24 | MSV000085628 | MassIVE
Project description:This dataset consists of 22 raw MS files and associated peak lists and result files, acquired on Velos Orbitrap and TripleTOF mass spectrometers operated in Data Dependent Acquisition mode. The AJUBA construct and cell line were generated by Bhavisha Rathod, with mass spectrometric acquisition by Zhen-Yuan Lin. Data analysis was performed by Anne-Claude Gingras. The files are associated with a manuscript submitted for publication by Loganathan et al. that describes the identification of the NOTCH pathway as a critical regulator of Squamous Cell Carcinoma. Daniel Schramek is the corresponding author of the manuscript (schramek@lunenfeld.ca); Anne-Claude Gingras should be contacted for questions on this dataset (gingras@lunenfeld.ca).
2019-02-05 | MSV000083405 | MassIVE
Project description:This dataset consists of 37 raw MS files and associated peak lists and result files, acquired on TripleTOF6600 mass spectrometer operated in Data Dependent Acquisition mode. The files are associated with a manuscript submitted for publication by Segal et al. that determines the protein-protein and proximity interaction landscape of 14-3-3 proteins.
This particular dataset consists in files associated with three baits (14-3-3 interactors) profiled in both a wild type and a 14-3-3 binding site mutant. Each bait was profiled in biological duplicates by BioID (*using the BioID2 enzyme), alongside a total of 25 negative controls (used for analysis with SAINTexpress). See details within the README file.
Samples were generated by Dmitri Segal and affinity purification and mass spectrometry were performed by Zhen-Yuan Lin with oversight from Brett Larsen and Anne-Claude Gingras. Analysis was performed by Anne-Claude Gingras and Mikko Taipale.
Corresponding authors: Mikko Taipale (mikko.taipale@utoronto.ca)/lead author and Anne-Claude Gingras (gingras@lunenfeld.ca). Anne-Claude Gingras should be contacted for questions on this dataset.
2022-05-07 | MSV000089437 | MassIVE