MassIVE MSV000090943

Partial Public PXD038979

Shotgun proteomics of co-cultured cells from different species as an alternative approach to detect intercellular protein transfer. Part 2: OP9 cells

Description

NOTE: In this project we used two types of cells: the human CCRF-CEM cells, and the OP9 cells from mouse. This dataset includes only the peak and raw data files of the OP9 cells harvested from monocultures and co-cultures. The files corresponding to the CCRF-CEM cells can be downloaded from the MassIVE Dataset MSV000090911. The files mqpar.txt, SearchEngineResults14sep22.zip and FastaUniProtdatabases.zip are the same for the CCRF-CEM and OP9 datasets. Project description Cellular interactions within the bone marrow microenvironment modulate the properties of subsets of leukemic cells leading to the development of drug-resistant phenotypes. The intercellular transfer of proteins and organelles contributes to this process but the set of transferred proteins and their effects in the receiving cells remain unclear. This study aimed to detect the intercellular protein transfer from mouse bone marrow stromal cells (OP9 cell line) to human T-lymphoblasts (CCRF-CEM cell line) using nanoLC-MS/MS-based shotgun proteomics in a 3D co-culture system. After 24 hours of co-culture, 1513 and 67 proteins from human and mouse origin respectively, were identified in human CCRF-CEM cells. The presence of mouse proteins in the human cell line, detected by analyzing the differences in amino acid sequences of orthologous peptides, was interpreted as the result of intercellular transfer. Although further validation is necessary, our results suggest that shotgun proteomic analyses of co-cultured cells from different species could be a simple option to get a preliminary survey of the proteins exchanged among interacting cells. [doi:10.25345/C5NK3694V] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Leukemia ; Tumor microenvironment ; 3D coculture ; Intercellular protein transfer

Contact

Principal Investigators:
(in alphabetical order)
Hector Quezada Pablo, Hospital Infantil de Mexico Federico Gomez, Mexico
Submitting User: Hector_Quezada_1
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Owner Reanalyses
Experimental Design
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Identification Results
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Quantification Results
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.