scholarly journals Synthetic protein interactions reveal a functional map of the cell

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Lisa K Berry ◽  
Guðjón Ólafsson ◽  
Elena Ledesma-Fernández ◽  
Peter H Thorpe
Keyword(s):  
Protein Interactions ◽  
Protein Localization ◽  
Eukaryotic Cells ◽  
Protein Protein Interactions ◽  
Yeast Saccharomyces Cerevisiae ◽  
Synthetic Protein ◽  
Protein Functions ◽  
Functional Map ◽  
Cellular Compartments ◽  
New Protein

To understand the function of eukaryotic cells, it is critical to understand the role of protein-protein interactions and protein localization. Currently, we do not know the importance of global protein localization nor do we understand to what extent the cell is permissive for new protein associations – a key requirement for the evolution of new protein functions. To answer this question, we fused every protein in the yeast Saccharomyces cerevisiae with a partner from each of the major cellular compartments and quantitatively assessed the effects upon growth. This analysis reveals that cells have a remarkable and unanticipated tolerance for forced protein associations, even if these associations lead to a proportion of the protein moving compartments within the cell. Furthermore, the interactions that do perturb growth provide a functional map of spatial protein regulation, identifying key regulatory complexes for the normal homeostasis of eukaryotic cells.

scholarly journals De novo design of a reversible phosphorylation-dependent switch for membrane targeting

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Leon Harrington ◽  
Jordan M. Fletcher ◽  
Tamara Heermann ◽  
Derek N. Woolfson ◽  
Petra Schwille
Keyword(s):  
Protein Interactions ◽  
Lipid Membrane ◽  
De Novo ◽  
Protein Localization ◽  
Protein Structures ◽  
Spatiotemporal Pattern ◽  
Membrane Targeting ◽  
Protein Protein Interactions ◽  
Reversible Phosphorylation ◽  
Potential Applications

AbstractModules that switch protein-protein interactions on and off are essential to develop synthetic biology; for example, to construct orthogonal signaling pathways, to control artificial protein structures dynamically, and for protein localization in cells or protocells. In nature, the E. coli MinCDE system couples nucleotide-dependent switching of MinD dimerization to membrane targeting to trigger spatiotemporal pattern formation. Here we present a de novo peptide-based molecular switch that toggles reversibly between monomer and dimer in response to phosphorylation and dephosphorylation. In combination with other modules, we construct fusion proteins that couple switching to lipid-membrane targeting by: (i) tethering a ‘cargo’ molecule reversibly to a permanent membrane ‘anchor’; and (ii) creating a ‘membrane-avidity switch’ that mimics the MinD system but operates by reversible phosphorylation. These minimal, de novo molecular switches have potential applications for introducing dynamic processes into designed and engineered proteins to augment functions in living cells and add functionality to protocells.

scholarly journals Trafficking of Stretch-Regulated TRPV2 and TRPV4 Channels Inferred Through Interactomics

Biomolecules ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 791
Author(s):  
Pau Doñate-Macián ◽  
Jennifer Enrich-Bengoa ◽  
Irene R. Dégano ◽  
David G. Quintana ◽  
Alex Perálvarez-Marín
Keyword(s):  
Protein Interactions ◽  
Transient Receptor Potential ◽  
Cell Structure ◽  
Receptor Potential ◽  
Transient Receptor Potential Vanilloid ◽  
Protein Protein Interactions ◽  
Phosphoinositide Signaling ◽  
Transient Receptor ◽  
Cellular Compartments ◽  
Structure And Activity

Transient receptor potential cation channels are emerging as important physiological and therapeutic targets. Within the vanilloid subfamily, transient receptor potential vanilloid 2 (TRPV2) and 4 (TRPV4) are osmo- and mechanosensors becoming critical determinants in cell structure and activity. However, knowledge is scarce regarding how TRPV2 and TRPV4 are trafficked to the plasma membrane or specific organelles to undergo quality controls through processes such as biosynthesis, anterograde/retrograde trafficking, and recycling. This revision lists and reviews a subset of protein–protein interactions from the TRPV2 and TRPV4 interactomes, which is related to trafficking processes such as lipid metabolism, phosphoinositide signaling, vesicle-mediated transport, and synaptic-related exocytosis. Identifying the protein and lipid players involved in trafficking will improve the knowledge on how these stretch-related channels reach specific cellular compartments.

GRR1 of Saccharomyces cerevisiae is required for glucose repression and encodes a protein with leucine-rich repeats

1991 ◽  
Vol 11 (10) ◽  
pp. 5101-5112
Author(s):  
J S Flick ◽  
M Johnston
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Protein Interactions ◽  
Tandem Repeats ◽  
Glucose Repression ◽  
Molecular Data ◽  
Primary Response ◽  
Yeast Cells ◽  
Cell Fractionation ◽  
Protein Protein Interactions ◽  
Yeast Saccharomyces Cerevisiae

Growth of the yeast Saccharomyces cerevisiae on glucose leads to repression of transcription of many genes required for alternative carbohydrate metabolism. The GRR1 gene appears to be of central importance to the glucose repression mechanism, because mutations in GRR1 result in a pleiotropic loss of glucose repression (R. Bailey and A. Woodword, Mol. Gen. Genet. 193:507-512, 1984). We have isolated the GRR1 gene and determined that null mutants are viable and display a number of growth defects in addition to the loss of glucose repression. Surprisingly, grr1 mutations convert SUC2, normally a glucose-repressed gene, into a glucose-induced gene. GRR1 encodes a protein of 1,151 amino acids that is expressed constitutively at low levels in yeast cells. GRR1 protein contains 12 tandem repeats of a sequence similar to leucine-rich motifs found in other proteins that may mediate protein-protein interactions. Indeed, cell fractionation studies are consistent with this view, suggesting that GRR1 protein is tightly associated with a particulate protein fraction in yeast extracts. The combined genetic and molecular data are consistent with the idea that GRR1 protein is a primary response element in the glucose repression pathway and is required for the generation or interpretation of the signal that induces glucose repression.

scholarly journals The Role of Posttranslational Modifications in DNA Repair

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Miaomiao Bai ◽  
Dongdong Ti ◽  
Qian Mei ◽  
Jiejie Liu ◽  
Xin Yan ◽  
...  
Keyword(s):  
Dna Damage ◽  
Dna Repair ◽  
Protein Interactions ◽  
Posttranslational Modifications ◽  
Genome Stability ◽  
Protein Localization ◽  
Complex Structure ◽  
Protein Protein Interactions ◽  
Regulate Protein

The human body is a complex structure of cells, which are exposed to many types of stress. Cells must utilize various mechanisms to protect their DNA from damage caused by metabolic and external sources to maintain genomic integrity and homeostasis and to prevent the development of cancer. DNA damage inevitably occurs regardless of physiological or abnormal conditions. In response to DNA damage, signaling pathways are activated to repair the damaged DNA or to induce cell apoptosis. During the process, posttranslational modifications (PTMs) can be used to modulate enzymatic activities and regulate protein stability, protein localization, and protein-protein interactions. Thus, PTMs in DNA repair should be studied. In this review, we will focus on the current understanding of the phosphorylation, poly(ADP-ribosyl)ation, ubiquitination, SUMOylation, acetylation, and methylation of six typical PTMs and summarize PTMs of the key proteins in DNA repair, providing important insight into the role of PTMs in the maintenance of genome stability and contributing to reveal new and selective therapeutic approaches to target cancers.

scholarly journals Chemical toolbox for ‘live’ biochemistry to understand enzymatic functions in living systems

2019 ◽  
Author(s):  
Toru Komatsu ◽  
Yasuteru Urano
Keyword(s):  
Environmental Factors ◽  
Protein Interactions ◽  
Posttranslational Modifications ◽  
Live Cell ◽  
Living Systems ◽  
Protein Protein Interactions ◽  
Redox States ◽  
Recent Advances ◽  
Protein Functions ◽  
Research Tools

Abstract In this review, we present an overview of the recent advances in chemical toolboxes that are used to provide insights into ‘live’ protein functions in living systems. Protein functions are mediated by various factors inside of cells, such as protein−protein interactions, posttranslational modifications, and they are also subject to environmental factors such as pH, redox states and crowding conditions. Obtaining a true understanding of protein functions in living systems is therefore a considerably difficult task. Recent advances in research tools have allowed us to consider ‘live’ biochemistry as a valid approach to precisely understand how proteins function in a live cell context.

scholarly journals Hypoxia elicits broad and systematic changes in protein subcellular localization

2011 ◽  
Vol 301 (4) ◽  
pp. C913-C928 ◽  
Author(s):  
Robert Michael Henke ◽  
Ranita Ghosh Dastidar ◽  
Ajit Shah ◽  
Daniela Cadinu ◽  
Xiao Yao ◽  
...  
Keyword(s):  
Protein Function ◽  
Protein Localization ◽  
Cell Periphery ◽  
Protein Distribution ◽  
Yeast Saccharomyces Cerevisiae ◽  
Transcriptional Regulatory ◽  
Chromatin Remodeling Complexes ◽  
Oxygen Signaling ◽  
Cellular Compartments ◽  
Control Protein

Oxygen provides a crucial energy source in eukaryotic cells. Hence, eukaryotes ranging from yeast to humans have developed sophisticated mechanisms to respond to changes in oxygen levels. Regulation of protein localization, like protein modifications, can be an effective mechanism to control protein function and activity. However, the contribution of protein localization in oxygen signaling has not been examined on a genomewide scale. Here, we examine how hypoxia affects protein distribution on a genomewide scale in the model eukaryote, the yeast Saccharomyces cerevisiae . We demonstrate, by live cell imaging, that hypoxia alters the cellular distribution of 203 proteins in yeast. These hypoxia-redistributed proteins include an array of proteins with important functions in various organelles. Many of them are nuclear and are components of key regulatory complexes, such as transcriptional regulatory and chromatin remodeling complexes. Under hypoxia, these proteins are synthesized and retained in the cytosol. Upon reoxygenation, they relocalize effectively to their normal cellular compartments, such as the nucleus, mitochondria, endoplasmic reticulum, and cell periphery. The resumption of the normal cellular locations of many proteins can occur even when protein synthesis is inhibited. Furthermore, we show that the changes in protein distribution induced by hypoxia follow a slower trajectory than those induced by reoxygenation. These results show that the regulation of protein localization is a common and potentially dominant mechanism underlying oxygen signaling and regulation. These results may have broad implications in understanding oxygen signaling and hypoxia responses in higher eukaryotes such as humans.

In Silico Recognition of Protein-Protein Interaction

2011 ◽  
pp. 248-268
Author(s):  
Byung-Hoon Park ◽  
Phuongan Dam ◽  
Chongle Pan ◽  
Ying Xu ◽  
Al Geist ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Regulatory Networks ◽  
Machine Learning Techniques ◽  
Translation Regulation ◽  
Future Research ◽  
Protein Protein Interactions ◽  
Protein Protein Interaction ◽  
Protein Levels ◽  
Protein Functions ◽  
Model Protein

Protein-protein interactions are fundamental to cellular processes. They are responsible for phenomena like DNA replication, gene transcription, protein translation, regulation of metabolic pathways, immunologic recognition, signal transduction, etc. The identification of interacting proteins is therefore an important prerequisite step in understanding their physiological functions. Due to the invaluable importance to various biophysical activities, reliable computational methods to infer protein-protein interactions from either structural or genome sequences are in heavy demand lately. Successful predictions, for instance, will facilitate a drug design process and the reconstruction of metabolic or regulatory networks. In this chapter, we review: (a) high-throughput experimental methods for identification of protein-protein interactions, (b) existing databases of protein-protein interactions, (c) computational approaches to predicting protein-protein interactions at both residue and protein levels, (d) various statistical and machine learning techniques to model protein-protein interactions, and (e) applications of protein-protein interactions in predicting protein functions. We also discuss intrinsic drawbacks of the existing approaches and future research directions.

scholarly journals Saccharomyces cerevisiae as a Tool to Investigate Plant Potassium and Sodium Transporters

2019 ◽  
Vol 20 (9) ◽  
pp. 2133 ◽  
Author(s):  
Antonella Locascio ◽  
Nuria Andrés-Colás ◽  
José Miguel Mulet ◽  
Lynne Yenush
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Protein Interactions ◽  
Model System ◽  
Protein Protein Interactions ◽  
Alkali Cations ◽  
Yeast Saccharomyces Cerevisiae ◽  
Future Directions ◽  
Sodium Transporters ◽  
Adverse Environmental Conditions ◽  
Sodium And Potassium

Sodium and potassium are two alkali cations abundant in the biosphere. Potassium is essential for plants and its concentration must be maintained at approximately 150 mM in the plant cell cytoplasm including under circumstances where its concentration is much lower in soil. On the other hand, sodium must be extruded from the plant or accumulated either in the vacuole or in specific plant structures. Maintaining a high intracellular K+/Na+ ratio under adverse environmental conditions or in the presence of salt is essential to maintain cellular homeostasis and to avoid toxicity. The baker’s yeast, Saccharomyces cerevisiae, has been used to identify and characterize participants in potassium and sodium homeostasis in plants for many years. Its utility resides in the fact that the electric gradient across the membrane and the vacuoles is similar to plants. Most plant proteins can be expressed in yeast and are functional in this unicellular model system, which allows for productive structure-function studies for ion transporting proteins. Moreover, yeast can also be used as a high-throughput platform for the identification of genes that confer stress tolerance and for the study of protein–protein interactions. In this review, we summarize advances regarding potassium and sodium transport that have been discovered using the yeast model system, the state-of-the-art of the available techniques and the future directions and opportunities in this field.

New advances in extracting and learning from protein–protein interactions within unstructured biomedical text data

2019 ◽  
Vol 3 (4) ◽  
pp. 357-369
Author(s):  
J. Harry Caufield ◽  
Peipei Ping
Keyword(s):  
Protein Interactions ◽  
Protein Function ◽  
Historical Context ◽  
Specific Protein ◽  
Basic Unit ◽  
Biomedical Text ◽  
Protein Protein Interactions ◽  
Text Data ◽  
Ppi Networks ◽  
Protein Functions

Abstract Protein–protein interactions, or PPIs, constitute a basic unit of our understanding of protein function. Though substantial effort has been made to organize PPI knowledge into structured databases, maintenance of these resources requires careful manual curation. Even then, many PPIs remain uncurated within unstructured text data. Extracting PPIs from experimental research supports assembly of PPI networks and highlights relationships crucial to elucidating protein functions. Isolating specific protein–protein relationships from numerous documents is technically demanding by both manual and automated means. Recent advances in the design of these methods have leveraged emerging computational developments and have demonstrated impressive results on test datasets. In this review, we discuss recent developments in PPI extraction from unstructured biomedical text. We explore the historical context of these developments, recent strategies for integrating and comparing PPI data, and their application to advancing the understanding of protein function. Finally, we describe the challenges facing the application of PPI mining to the text concerning protein families, using the multifunctional 14-3-3 protein family as an example.

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