Name: PME1 interactome - Relevance Rank Platform (RRP) for Functional Filtering of High Content Protein-Protein Interaction Data
Keywords: Human

Dataset Information

PME1 interactome - Relevance Rank Platform (RRP) for Functional Filtering of High Content Protein-Protein Interaction Data

ABSTRACT: For a single step AP-MS identification of PME1 interactome was established a cell line stably expressing either Strep-tag alone or Strep_PME-1 fusion protein. After Strep-tag affinity purification, proteins were separated on SDS-PAGE gel, silver stained and protein bands that showed visually enrichment in StrepPME-1 samples compared to Strep-tag samples were isolated from both lanes for MS analysis.

INSTRUMENT(S): QSTAR

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Anne Rokka

LAB HEAD: Jukka Westermarck

PROVIDER: PXD002637 | Pride | 2015-12-08

REPOSITORIES: Pride

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Publications

Relevance Rank Platform (RRP) for Functional Filtering of High Content Protein-Protein Interaction Data.

Pokharel Yuba Raj YR Saarela Jani J Szwajda Agnieszka A Rupp Christian C Rokka Anne A Lal Kumar Karna Shibendra S Teittinen Kaisa K Corthals Garry G Kallioniemi Olli O Wennerberg Krister K Aittokallio Tero T Westermarck Jukka J

Molecular & cellular proteomics : MCP 20151023 12

High content protein interaction screens have revolutionized our understanding of protein complex assembly. However, one of the major challenges in translation of high content protein interaction data is identification of those interactions that are functionally relevant for a particular biological question. To address this challenge, we developed a relevance ranking platform (RRP), which consist of modular functional and bioinformatic filters to provide relevance rank among the interactome prot ...[more]

PMID: 26499835

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Project description:Plants have evolved strong innate immunity mechanisms, but successful pathogens evade or suppress plant immunity via effectors delivered into the plant cell. Hyaloperonospora arabidopsidis (Hpa) causes downy mildew on Arabidopsis thaliana, and a genome sequence is available for isolate Emoy2. Here, we exploit the availability of genome sequences for Hpa and Arabidopsis to measure gene-expression changes in both Hpa and Arabidopsis simultaneously during infection. Using a high-throughput cDNA tag sequencing method, we reveal expression patterns of Hpa predicted effectors and Arabidopsis genes in compatible and incompatible interactions, and promoter elements associated with Hpa genes expressed during infection. By resequencing Hpa isolate Waco9, we found it evades Arabidopsis resistance gene RPP1 through deletion of the cognate recognized effector ATR1. Arabidopsis salicylic acid (SA)-responsive genes including PR1 were activated not only at early time points in the incompatible interaction but also at late time points in the compatible interaction. By histochemical analysis, we found that Hpa suppresses SA-inducible PR1 expression, specifically in the haustoriated cells into which host-translocated effectors are delivered, but not in non-haustoriated adjacent cells. Finally, we found a highly-expressed Hpa effector candidate that suppresses responsiveness to SA. As this approach can be easily applied to host-pathogen interactions for which both host and pathogen genome sequences are available, this work opens the door towards transcriptome studies in infection biology that should help unravel pathogen infection strategies and the mechanisms by which host defense responses are overcome. Three weeks old Arabidopsis (Col-0) plants were inoculated with either the avirulent isolate Emoy2 (incompatible interaction) or the virulent isolate Waco9 (compatible interaction) of Hpa, and infected plants were harvested at 1, 3 and 5 days post-inoculation (dpi) for total RNA extraction. mRNA profiles were generated by deep sequencing on Illumina GAIIx using EXPRSS tag-seq protocol. Each biological replicate set of samples were sequenced as one batch (biorep1, biorep2 and biorep3 in filenames) and each batch was sequenced in 4 individual Illumina flowcell lanes (lane1 to lane4 in filenames). Four sequecing lanes of each three biological repliates resulted in 12 sequencing libraries. Emoy2 1, 3 and 5 dpi samples and Waco9 1 dpi samples were made two different codes (lib1 and lib2 in filenames) to generate higher depth of sequencing data. Each biological replicate set of samples were sequenced as one batch and each batch was sequenced in 4 individual Illumina flowcell lanes. Four sequecing lanes of each three biological repliates resulted in 12 sequencing libraries. 'The unassigned read_*' samples are for 'nobarcode_biorep[x]_lanne[x].fq' file containing sequences unassigned to any barcode from respective bioreplicate sequencing lanes.

Dataset Information

PME1 interactome - Relevance Rank Platform (RRP) for Functional Filtering of High Content Protein-Protein Interaction Data

Publications

Relevance Rank Platform (RRP) for Functional Filtering of High Content Protein-Protein Interaction Data.

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