scholarly journals High-throughput method for mammalian protein function | The effect of antimitotic chemotherapy drugs on mitotic proteins | Proteome map ofArabidopsis thaliana| Figuring out in vivo protein–protein interactions | How ibuprofen may protect against Alzheimer's disease | Identifying wheat allergens

2008 ◽  
Vol 7 (7) ◽  
pp. 2587-2589 ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
High Throughput ◽  
Protein Interactions ◽  
Protein Function ◽  
Protein Protein Interactions ◽  
Chemotherapy Drugs ◽  
Ofarabidopsis Thaliana ◽  
High Throughput Method ◽  
Mammalian Protein

scholarly journals An atlas of protein-protein interactions across mammalian tissues

2018 ◽  
Author(s):  
Michael A. Skinnider ◽  
Nichollas E. Scott ◽  
Anna Prudova ◽  
Nikolay Stoynov ◽  
R. Greg Stacey ◽  
...  
Keyword(s):  
High Throughput ◽  
Protein Interactions ◽  
Protein Protein Interactions ◽  
Cellular Mechanisms ◽  
Stable Isotope Labelling ◽  
Proteomic Approach ◽  
Mouse Tissues ◽  
Mammalian Tissues ◽  
Genetically Manipulated

SummaryCellular processes arise from the dynamic organization of proteins in networks of physical interactions. Mapping the complete network of biologically relevant protein-protein interactions, the interactome, has therefore been a central objective of high-throughput biology. Yet, because widely used methods for high-throughput interaction discovery rely on heterologous expression or genetically manipulated cell lines, the dynamics of protein interactions across physiological contexts are poorly understood. Here, we use a quantitative proteomic approach combining protein correlation profiling with stable isotope labelling of mammals (PCP SILAM) to map the interactomes of seven mouse tissues. The resulting maps provide the first proteome-scale survey of interactome dynamics across mammalian tissues, revealing over 27,000 unique interactions with an accuracy comparable to the highest-quality human screens. We identify systematic suppression of cross-talk between the evolutionarily ancient housekeeping interactome and younger, tissue-specific modules. Rewiring of protein interactions across tissues is widespread, and is poorly predicted by gene expression or coexpression. Rewired proteins are tightly regulated by multiple cellular mechanisms and implicated in disease. Our study opens up new avenues to uncover regulatory mechanisms that shape in vivo interactome responses to physiological and pathophysiological stimuli in mammalian systems.

The study of protein–protein interactions in bacteria

2012 ◽  
Vol 58 (11) ◽  
pp. 1241-1257 ◽  
Author(s):  
Roberto Velasco-García ◽  
Rocío Vargas-Martínez
Keyword(s):  
Hybrid System ◽  
High Throughput ◽  
Protein Interactions ◽  
Specific Protein ◽  
False Positives ◽  
Interaction Networks ◽  
Protein Protein Interactions ◽  
Extensive Data ◽  
False Positives And Negatives

Many of the functions fulfilled by proteins in the cell require specific protein–protein interactions (PPI). During the last decade, the use of high-throughput experimental technologies, primarily based on the yeast 2-hybrid system, generated extensive data currently located in public databases. This information has been used to build interaction networks for different species. Unfortunately, due to the nature of the yeast 2-hybrid system, these databases contain many false positives and negatives, thus they require purging. A method for confirming these PPI is to test them using a technique that operates in vivo and detects binary PPI. This article comprises an overview of the study of PPI and describes the main techniques that have been used to identify bacterial PPI, prioritizing those that can be used for their verification, and it also mentions a number of PPI that have been identified or confirmed using these methods.

scholarly journals SET7/9-dependent methylation of ARTD1 at K508 stimulates poly-ADP-ribose formation after oxidative stress

Open Biology ◽  
2013 ◽  
Vol 3 (10) ◽  
pp. 120173 ◽  
Author(s):  
Ingrid Kassner ◽  
Anneli Andersson ◽  
Monika Fey ◽  
Martin Tomas ◽  
Elisa Ferrando-May ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Protein Interactions ◽  
Protein Function ◽  
Dependent Manner ◽  
Protein Protein Interactions ◽  
Post Translational Modification ◽  
Target Proteins ◽  
Protein Methyltransferase

ADP-ribosyltransferase diphtheria toxin-like 1 (ARTD1, formerly PARP1) is localized in the nucleus, where it ADP-ribosylates specific target proteins. The post-translational modification (PTM) with a single ADP-ribose unit or with polymeric ADP-ribose (PAR) chains regulates protein function as well as protein–protein interactions and is implicated in many biological processes and diseases. SET7/9 (Setd7, KMT7) is a protein methyltransferase that catalyses lysine monomethylation of histones, but also methylates many non-histone target proteins such as p53 or DNMT1. Here, we identify ARTD1 as a new SET7/9 target protein that is methylated at K508 in vitro and in vivo . ARTD1 auto-modification inhibits its methylation by SET7/9, while auto-poly-ADP-ribosylation is not impaired by prior methylation of ARTD1. Moreover, ARTD1 methylation by SET7/9 enhances the synthesis of PAR upon oxidative stress in vivo . Furthermore, laser irradiation-induced PAR formation and ARTD1 recruitment to sites of DNA damage in a SET7/9-dependent manner. Together, these results reveal a novel mechanism for the regulation of cellular ARTD1 activity by SET7/9 to assure efficient PAR formation upon cellular stress.

scholarly journals Rapamycin-dependent delocalization as a novel tool to reveal protein-protein interactions in plants

2020 ◽  
Author(s):  
Joanna Winkler ◽  
Evelien Mylle ◽  
Andreas De Meyer ◽  
Benjamin Pavie ◽  
Julie Merchie ◽  
...  
Keyword(s):  
Plant Cell ◽  
High Throughput ◽  
Protein Interactions ◽  
Biological Process ◽  
Higher Order ◽  
Protein Protein Interactions ◽  
Bait Protein ◽  
Versatile Tool ◽  
Protein Tagging

AbstractIdentifying protein-protein interactions (PPI) is crucial to understand any type of biological process. Many PPI tools are available, yet only some function within the context of a plant cell. Narrowing down even further, only few PPI tools allow visualizing higher order interactions. Here, we present a novel and conditional in vivo PPI tool for plant research. Knocksideways in plants (KSP) uses the ability of rapamycin to alter the localization of a bait protein and its interactors via the heterodimerization of FKBP and FRB domains. KSP is inherently free from many limitations, which other PPI systems hold. It is an in vivo tool, it is flexible concerning the orientation of protein tagging as long as this does not interfere with the interaction and it is compatible with a broad range of fluorophores. KSP is also a conditional tool and therefore does not require additional controls. The interactions can be quantified and in high throughput by the scripts that we provide. Finally, we demonstrate that KSP can visualize higher-order interactions. It is therefore a versatile tool, complementing the PPI methods field with unique characteristics and applications.

scholarly journals Design and Prototyping of Genetically Encoded Arsenic Biosensors Based on Transcriptional Regulator AfArsR

Biomolecules ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1276
Author(s):  
Salma Saeed Khan ◽  
Yi Shen ◽  
Muhammad Qaiser Fatmi ◽  
Robert E. Campbell ◽  
Habib Bokhari
Keyword(s):  
Protein Interactions ◽  
Protein Function ◽  
Fluorescent Proteins ◽  
Transcriptional Factor ◽  
Thiol Groups ◽  
Protein Protein Interactions ◽  
Protein Thiol ◽  
New Family

Genetically encoded biosensors based on engineered fluorescent proteins (FPs) are essential tools for monitoring the dynamics of specific ions and molecules in biological systems. Arsenic ion in the +3 oxidation state (As3+) is highly toxic to cells due to its ability to bind to protein thiol groups, leading to inhibition of protein function, disruption of protein–protein interactions, and eventually to cell death. A genetically encoded biosensor for the detection of As3+ could potentially facilitate the investigation of such toxicity both in vitro and in vivo. Here, we designed and developed two prototype genetically encoded arsenic biosensors (GEARs), based on a bacterial As3+ responsive transcriptional factor AfArsR from Acidithiobacillus ferrooxidans. We constructed FRET-based GEAR biosensors by insertion of AfArsR between FP acceptor/donor FRET pairs. We further designed and engineered single FP-based GEAR biosensors by insertion of AfArsR into GFP. These constructs represent prototypes for a new family of biosensors based on the ArsR transcriptional factor scaffold. Further improvements of the GEAR biosensor family could lead to variants with suitable performance for detection of As3+ in various biological and environmental systems.

scholarly journals In-vivo crystals reveal protein interactions

2019 ◽  
Author(s):  
Eleanor R. Martin ◽  
Alessandro Barbieri ◽  
Robert C. Ford ◽  
Robert C. Robinson
Keyword(s):  
Protein Interactions ◽  
Protein Function ◽  
Pdz Domain ◽  
Cell Types ◽  
Binding Motif ◽  
Protein Protein Interactions ◽  
Reporter System ◽  
X Ray Crystallography

AbstractCrystallisation of recombinant proteins has been fundamental to our understanding of protein function, dysfunction, and molecular recognition. However, this information has often been gleaned under non-physiological extremes of protein, salt, and H+ concentrations. Here, we describe the development of the robust iBox-PAK4cat system that spontaneously crystallises in several mammalian cell types. The developments described here allow the quantitation of in-vivo protein-protein interactions using a novel GFP-linked reporter system. Here, we have combined this assay with in-vitro X-ray crystallography and molecular dynamics studies characterise the molecular determinants of the interaction between NHERF1 PDZ2 and CFTR, a protein complex pertinent to the genetic disease cystic fibrosis. These studies have revealed the crystal structure of the extended PDZ domain of NHERF1, and indicated, contrary to previous reports, that residue selection at −1 and −3 PDZ-binding motif positions influence the affinity and specificity of the interaction. The results presented here demonstrate that the iBox-PAK4cat assay could easily be utilised to screen other protein-protein interactions.

scholarly journals In Vivo Methods to Study Protein-Protein Interactions as Key Players in Mycobacterium tuberculosis Virulence

2019 ◽  
Author(s):  
Romain Veyron-Churlet ◽  
Camille Locht
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Protein Interactions ◽  
Protein Function ◽  
Protein Protein Interactions ◽  
Cellular Processes ◽  
Unknown Protein ◽  
Transient Interactions ◽  
Protein Complementation

Studies on Protein-Protein interactions (PPI) can be helpful for the annotation of unknown protein function and for the understanding of cellular processes, such as specific virulence mechanisms developed by bacterial pathogens. In that context, several methods have been extensively used in recent years for the characterization of Mycobacterium tuberculosis PPI to further decipher TB pathogenesis. This review aims at compiling the most striking results based on in vivo methods (yeast and bacterial two-hybrid systems, protein complementation assays) for the specific study of PPI in mycobacteria. Moreover, newly developed methods, such as in-cell native mass resonance and proximity-dependent biotinylation identification, will have a deep impact on future mycobacterial research, as they are able to perform dynamic (transient interactions) and integrative (multiprotein complexes) analyses.

Probing the 14-3-3 Isoform-Specificity Profile of Interactions Stabilized by Fusicoccin A

2020 ◽  
Author(s):  
James Frederich ◽  
Ananya Sengupta ◽  
Josue Liriano ◽  
Ewa A. Bienkiewicz ◽  
Brian G. Miller
Keyword(s):  
Protein Interactions ◽  
Neurological Diseases ◽  
Adapter Proteins ◽  
Protein Protein Interactions ◽  
Specific Expression ◽  
Individual Client ◽  
Isoform Specificity ◽  
Fusicoccin A

Fusicoccin A (FC) is a fungal phytotoxin that stabilizes protein–protein interactions (PPIs) between 14-3-3 adapter proteins and their phosphoprotein interaction partners. In recent years, FC has emerged as an important chemical probe of human 14-3-3 PPIs implicated in cancer and neurological diseases. These previous studies have established the structural requirements for FC-induced stabilization of 14-3-3·client phosphoprotein complexes; however, the effect of different 14-3-3 isoforms on FC activity has not been systematically explored. This is a relevant question for the continued development of FC variants because there are seven distinct isoforms of 14-3-3 in humans. Despite their remarkable sequence and structural similarities, a growing body of experimental evidence supports both tissue-specific expression of 14-3-3 isoforms and isoform-specific functions <i>in vivo</i>. Herein, we report the isoform-specificity profile of FC <i>in vitro</i>using recombinant human 14-3-3 isoforms and a focused library of fluorescein-labeled hexaphosphopeptides mimicking the C-terminal 14-3-3 recognition domains of client phosphoproteins targeted by FC in cell culture. Our results reveal modest isoform preferences for individual client phospholigands and demonstrate that FC differentially stabilizes PPIs involving 14-3-3s. Together, these data provide strong motivation for the development of non-natural FC variants with enhanced selectivity for individual 14-3-3 isoforms.

scholarly journals Important Role for Phylogenetically Invariant PP2Acα Active Site and C-Terminal Residues Revealed by Mutational Analysis in Saccharomyces cerevisiae

Genetics ◽  
2000 ◽  
Vol 156 (1) ◽  
pp. 21-29 ◽  
Author(s):  
David R H Evans ◽  
Brian A Hemmings
Keyword(s):  
Protein Interactions ◽  
Active Site ◽  
Protein Function ◽  
Mutational Analysis ◽  
Yeast Cells ◽  
Temperature Sensitive ◽  
Active Site Residues ◽  
Catalytic Function

Abstract PP2A is a central regulator of eukaryotic signal transduction. The human catalytic subunit PP2Acα functionally replaces the endogenous yeast enzyme, Pph22p, indicating a conservation of function in vivo. Therefore, yeast cells were employed to explore the role of invariant PP2Ac residues. The PP2Acα Y127N substitution abolished essential PP2Ac function in vivo and impaired catalysis severely in vitro, consistent with the prediction from structural studies that Tyr-127 mediates substrate binding and its side chain interacts with the key active site residues His-118 and Asp-88. The V159E substitution similarly impaired PP2Acα catalysis profoundly and may cause global disruption of the active site. Two conditional mutations in the yeast Pph22p protein, F232S and P240H, were found to cause temperature-sensitive impairment of PP2Ac catalytic function in vitro. Thus, the mitotic and cell lysis defects conferred by these mutations result from a loss of PP2Ac enzyme activity. Substitution of the PP2Acα C-terminal Tyr-307 residue by phenylalanine impaired protein function, whereas the Y307D and T304D substitutions abolished essential function in vivo. Nevertheless, Y307D did not reduce PP2Acα catalytic activity significantly in vitro, consistent with an important role for the C terminus in mediating essential protein-protein interactions. Our results identify key residues important for PP2Ac function and characterize new reagents for the study of PP2A in vivo.

scholarly journals Shared Blood Transcriptomic Signatures between Alzheimer’s Disease and Diabetes Mellitus

Biomedicines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Taesic Lee ◽  
Hyunju Lee
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Protein Interactions ◽  
Expression Patterns ◽  
Protein Protein Interactions ◽  
Hub Genes ◽  
Gene Modules ◽  
Gene Regulatory ◽  
The Brain

Alzheimer’s disease (AD) and diabetes mellitus (DM) are known to have a shared molecular mechanism. We aimed to identify shared blood transcriptomic signatures between AD and DM. Blood expression datasets for each disease were combined and a co-expression network was used to construct modules consisting of genes with similar expression patterns. For each module, a gene regulatory network based on gene expression and protein-protein interactions was established to identify hub genes. We selected one module, where COPS4, PSMA6, GTF2B, GTF2F2, and SSB were identified as dysregulated transcription factors that were common between AD and DM. These five genes were also differentially co-expressed in disease-related tissues, such as the brain in AD and the pancreas in DM. Our study identified gene modules that were dysregulated in both AD and DM blood samples, which may contribute to reveal common pathophysiology between two diseases.

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