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Quantitative analysis of protein-protein interactions and post-translational modifications in rare immune populations.

ABSTRACT: In spite of recent advances in proteomics, quantitative analyses of protein-protein interactions (PPIs) or post-translational modifications (PTMs) in rare cell populations remain challenging. This is in particular true for analyses of rare immune and/or stem cell populations that are directly isolated from humans or animal models, and which are often characterized by multiple surface markers. To overcome these limitations, here we have developed proximity ligation imaging cytometry (PLIC), a protocol for proteomic analysis of rare cells. Specifically, by employing PLIC on medullary thymic epithelial cells (mTECs), which serve as a paradigm for a rare immune population, we demonstrate that PLIC overcomes the inherent limitations of conventional proteomic approaches and enables a high-resolution detection and quantification of PPIs and PTMs at a single cell level.

SUBMITTER: Avin A

PROVIDER: S-EPMC5688095 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Quantitative analysis of protein-protein interactions and post-translational modifications in rare immune populations.

Avin Ayelet A Levy Maayan M Porat Ziv Z Abramson Jakub J

Nature communications 20171115 1

In spite of recent advances in proteomics, quantitative analyses of protein-protein interactions (PPIs) or post-translational modifications (PTMs) in rare cell populations remain challenging. This is in particular true for analyses of rare immune and/or stem cell populations that are directly isolated from humans or animal models, and which are often characterized by multiple surface markers. To overcome these limitations, here we have developed proximity ligation imaging cytometry (PLIC), a pro ...[more]

PMID: 29142256

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Project description:BackgroundMalaria is a one of the most important infectious diseases and is caused by parasitic protozoa of the genus Plasmodium. Previously, quantitative characterization of the P. falciparum transcriptome demonstrated that the strictly controlled progression of these parasites through their intra-erythrocytic developmental cycle is accompanied by a continuous cascade of gene expression. Although such analyses have proven immensely useful, the correlations between abundance of transcripts and their cognate proteins remain poorly characterized.ResultsHere, we present a quantitative time-course analysis of relative protein abundance for schizont-stage parasites (34 to 46 hours after invasion) based on two-dimensional differential gel electrophoresis of protein samples labeled with fluorescent dyes. For this purpose we analyzed parasite samples taken at 4-hour intervals from a tightly synchronized culture and established more than 500 individual protein abundance profiles with high temporal resolution and quantitative reproducibility. Approximately half of all profiles exhibit a significant change in abundance and 12% display an expression peak during the observed 12-hour time interval. Intriguingly, identification of 54 protein spots by mass spectrometry revealed that 58% of the corresponding proteins--including actin-I, enolase, eukaryotic initiation factor (eIF)4A, eIF5A, and several heat shock proteins--are represented by more than one isoform, presumably caused by post-translational modifications, with the various isoforms of a given protein frequently showing different expression patterns. Furthermore, comparisons with transcriptome data generated from the same parasite samples reveal evidence of significant post-transcriptional gene expression regulation.ConclusionsTogether, our data indicate that both post-transcriptional and post-translational events are widespread and of presumably great biological significance during the intra-erythrocytic development of P. falciparum.

Dataset Information

Quantitative analysis of protein-protein interactions and post-translational modifications in rare immune populations.

Publications

Quantitative analysis of protein-protein interactions and post-translational modifications in rare immune populations.

Similar Datasets

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