MassIVE MSV000082799

Partial Public PXD010717

A cross-linking-aided mass spectrometry workflow reveals extensive intracellular trafficking in time-resolved, signal-dependent EGFR proteome

Description

Here we describe a cross-linking-aided MS workflow for isolation and identification of signal-dependent membrane protein interactomes using EGFR as an example. Employing formaldehyde as a cross-linking reagent, we performed immuno-precipitation of endogenous EGFR upon EGF treatment, facilitating the capture of weak and transient interactions in the proximity of the receptor, and analyzed the associated proteins by quantitative mass spectrometry. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: EGFR

Contact

Principal Investigators:
(in alphabetical order)
Yi Wang, Baylor College of Medicine, United States
Submitting User: syjung
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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 peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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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.
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