Methods to analyse composition and dynamics of macromolecular complexes

2013 ◽  
Vol 41 (5) ◽  
pp. 1235-1241 ◽  
Author(s):  
Heinrich Heide ◽  
Ilka Wittig
Keyword(s):  
Protein Interactions ◽  
Protein Complexes ◽  
Protein Biosynthesis ◽  
Biological Processes ◽  
Protein Protein Interactions ◽  
Macromolecular Complexes ◽  
Cellular Processes ◽  
Recent Developments ◽  
Dna Replication And Repair ◽  
Health And Disease

Macromolecular complexes are involved in a broad spectrum of cellular processes including protein biosynthesis, protein secretion and degradation, metabolism, DNA replication and repair, and signal transduction along with other important biological processes. The analysis of protein complexes in health and disease is important to gain insights into cellular physiology and pathophysiology. In the last few decades, research has focused on the identification and the dynamics of macromolecular complexes. Several techniques have been developed to isolate native protein complexes from cells and tissues to allow further characterization by microscopic and proteomic analysis. In the present paper, we provide a brief overview of proteomic methods that can be used to identify protein–protein interactions, focusing on recent developments to study the entire complexome of a biological sample.

scholarly journals InteractoMIX: a suite of computational tools to exploit interactomes in biological and clinical research

2016 ◽  
Vol 44 (3) ◽  
pp. 917-924 ◽  
Author(s):  
Daniel Poglayen ◽  
Manuel Alejandro Marín-López ◽  
Jaume Bonet ◽  
Oriol Fornes ◽  
Javier Garcia-Garcia ◽  
...  
Keyword(s):  
Clinical Research ◽  
Protein Interactions ◽  
Biological Processes ◽  
Ppi Network ◽  
Protein Protein Interactions ◽  
Computational Tools ◽  
Cellular Processes ◽  
Structural Details ◽  
One Stop ◽  
Health And Disease

Virtually all the biological processes that occur inside or outside cells are mediated by protein–protein interactions (PPIs). Hence, the charting and description of the PPI network, initially in organisms, the interactome, but more recently in specific tissues, is essential to fully understand cellular processes both in health and disease. The study of PPIs is also at the heart of renewed efforts in the medical and biotechnological arena in the quest of new therapeutic targets and drugs. Here, we present a mini review of 11 computational tools and resources tools developed by us to address different aspects of PPIs: from interactome level to their atomic 3D structural details. We provided details on each specific resource, aims and purpose and compare with equivalent tools in the literature. All the tools are presented in a centralized, one-stop, web site: InteractoMIX (http://interactomix.com).

scholarly journals Systematic identification of signal integration by protein kinase A

2015 ◽  
Vol 112 (14) ◽  
pp. 4501-4506 ◽  
Author(s):  
Marie Filteau ◽  
Guillaume Diss ◽  
Francisco Torres-Quiroz ◽  
Alexandre K. Dubé ◽  
Andrea Schraffl ◽  
...  
Keyword(s):  
Protein Kinase ◽  
Protein Kinase A ◽  
Protein Interactions ◽  
Carbon Sources ◽  
Biological Processes ◽  
Protein Protein Interactions ◽  
Cellular Processes ◽  
Protein Complex Formation ◽  
Growth And Aging ◽  
Kinase A

Cellular processes and homeostasis control in eukaryotic cells is achieved by the action of regulatory proteins such as protein kinase A (PKA). Although the outbound signals from PKA directed to processes such as metabolism, growth, and aging have been well charted, what regulates this conserved regulator remains to be systematically identified to understand how it coordinates biological processes. Using a yeast PKA reporter assay, we identified genes that influence PKA activity by measuring protein–protein interactions between the regulatory and the two catalytic subunits of the PKA complex in 3,726 yeast genetic-deletion backgrounds grown on two carbon sources. Overall, nearly 500 genes were found to be connected directly or indirectly to PKA regulation, including 80 core regulators, denoting a wide diversity of signals regulating PKA, within and beyond the described upstream linear pathways. PKA regulators span multiple processes, including the antagonistic autophagy and methionine biosynthesis pathways. Our results converge toward mechanisms of PKA posttranslational regulation by lysine acetylation, which is conserved between yeast and humans and that, we show, regulates protein complex formation in mammals and carbohydrate storage and aging in yeast. Taken together, these results show that the extent of PKA input matches with its output, because this kinase receives information from upstream and downstream processes, and highlight how biological processes are interconnected and coordinated by PKA.

scholarly journals Conservation of coevolving protein interfaces bridges prokaryote–eukaryote homologies in the twilight zone

2016 ◽  
Vol 113 (52) ◽  
pp. 15018-15023 ◽  
Author(s):  
Juan Rodriguez-Rivas ◽  
Simone Marsili ◽  
David Juan ◽  
Alfonso Valencia
Keyword(s):  
Protein Interactions ◽  
Protein Complexes ◽  
Accurate Information ◽  
Twilight Zone ◽  
Sequence Information ◽  
Protein Protein Interactions ◽  
Sequence Alignments ◽  
Multiple Sequence ◽  
Protein Interfaces ◽  
Recent Developments

Protein–protein interactions are fundamental for the proper functioning of the cell. As a result, protein interaction surfaces are subject to strong evolutionary constraints. Recent developments have shown that residue coevolution provides accurate predictions of heterodimeric protein interfaces from sequence information. So far these approaches have been limited to the analysis of families of prokaryotic complexes for which large multiple sequence alignments of homologous sequences can be compiled. We explore the hypothesis that coevolution points to structurally conserved contacts at protein–protein interfaces, which can be reliably projected to homologous complexes with distantly related sequences. We introduce a domain-centered protocol to study the interplay between residue coevolution and structural conservation of protein–protein interfaces. We show that sequence-based coevolutionary analysis systematically identifies residue contacts at prokaryotic interfaces that are structurally conserved at the interface of their eukaryotic counterparts. In turn, this allows the prediction of conserved contacts at eukaryotic protein–protein interfaces with high confidence using solely mutational patterns extracted from prokaryotic genomes. Even in the context of high divergence in sequence (the twilight zone), where standard homology modeling of protein complexes is unreliable, our approach provides sequence-based accurate information about specific details of protein interactions at the residue level. Selected examples of the application of prokaryotic coevolutionary analysis to the prediction of eukaryotic interfaces further illustrate the potential of this approach.

scholarly journals Inferring interaction partners from protein sequences using mutual information

2018 ◽  
Author(s):  
Anne-Florence Bitbol
Keyword(s):  
Mutual Information ◽  
Protein Interactions ◽  
Sequence Data ◽  
Protein Complexes ◽  
Three Dimensional ◽  
Specific Protein ◽  
Amino Acid Residues ◽  
Protein Protein Interactions ◽  
Cellular Processes ◽  
Interaction Partners

AbstractSpecific protein-protein interactions are crucial in most cellular processes. They enable multiprotein complexes to assemble and to remain stable, and they allow signal transduction in various pathways. Functional interactions between proteins result in coevolution between the interacting partners, and thus in correlations between their sequences. Pairwise maximum-entropy based models have enabled successful inference of pairs of amino-acid residues that are in contact in the three-dimensional structure of multi-protein complexes, starting from the correlations in the sequence data of known interaction partners. Recently, algorithms inspired by these methods have been developed to identify which proteins are specific interaction partners among the paralogous proteins of two families, starting from sequence data alone. Here, we demonstrate that a slightly higher performance for partner identification can be reached by an approximate maximization of the mutual information between the sequence alignments of the two protein families. This stands in contrast with structure prediction of proteins and of multiprotein complexes from sequence data, where pairwise maximum-entropy based global statistical models substantially improve performance compared to mutual information. Our findings entail that the statistical dependences allowing interaction partner prediction from sequence data are not restricted to the residue pairs that are in direct contact at the interface between the partner proteins.Author summarySpecific protein-protein interactions are at the heart of most intra-cellular processes. Mapping these interactions is thus crucial to a systems-level understanding of cells, and has broad applications to areas such as drug targeting. Systematic experimental identification of protein interaction partners is still challenging. However, a large and rapidly growing amount of sequence data is now available. Recently, algorithms have been proposed to identify which proteins interact from their sequences alone, thanks to the co-variation of the sequences of interacting proteins. These algorithms build upon inference methods that have been used with success to predict the three-dimensional structures of proteins and multi-protein complexes, and their focus is on the amino-acid residues that are in direct contact. Here, we propose a simpler method to identify which proteins interact among the paralogous proteins of two families, starting from their sequences alone. Our method relies on an approximate maximization of mutual information between the sequences of the two families, without specifically emphasizing the contacting residue pairs. We demonstrate that this method slightly outperforms the earlier one. This result highlights that partner prediction does not only rely on the identities and interactions of directly contacting amino-acids.

scholarly journals Circadian Interactomics: How Research Into Protein-Protein Interactions Beyond the Core Clock Has Influenced the Model of Circadian Timekeeping

2021 ◽  
pp. 074873042110146
Author(s):  
Alexander E. Mosier ◽  
Jennifer M. Hurley
Keyword(s):  
Circadian Clock ◽  
Protein Interactions ◽  
Large Scale ◽  
Protein Complexes ◽  
Model Organisms ◽  
Protein Protein Interactions ◽  
Macromolecular Complexes ◽  
The Core ◽  
Circadian Control ◽  
Macromolecular Protein

The circadian clock is the broadly conserved, protein-based, timekeeping mechanism that synchronizes biology to the Earth’s 24-h light-dark cycle. Studies of the mechanisms of circadian timekeeping have placed great focus on the role that individual protein-protein interactions play in the creation of the timekeeping loop. However, research has shown that clock proteins most commonly act as part of large macromolecular protein complexes to facilitate circadian control over physiology. The formation of these complexes has led to the large-scale study of the proteins that comprise these complexes, termed here “circadian interactomics.” Circadian interactomic studies of the macromolecular protein complexes that comprise the circadian clock have uncovered many basic principles of circadian timekeeping as well as mechanisms of circadian control over cellular physiology. In this review, we examine the wealth of knowledge accumulated using circadian interactomics approaches to investigate the macromolecular complexes of the core circadian clock, including insights into the core mechanisms that impart circadian timing and the clock’s regulation of many physiological processes. We examine data acquired from the investigation of the macromolecular complexes centered on both the activating and repressing arm of the circadian clock and from many circadian model organisms.

Mass Spectrometry for Structural Biology: Determining the Composition and Architecture of Protein Complexes

2011 ◽  
Vol 64 (6) ◽  
pp. 681 ◽  
Author(s):  
Tara L. Pukala
Keyword(s):  
Mass Spectrometry ◽  
Structural Biology ◽  
Protein Interactions ◽  
Structural Investigation ◽  
Protein Complexes ◽  
Individual Species ◽  
Protein Protein Interactions ◽  
Identify Protein Complex ◽  
Technological Advances ◽  
Recent Developments

Knowledge of protein structure and protein–protein interactions is vital for appreciating the elaborate biochemical pathways that underlie cellular function. While many techniques exist to probe the structure and complex interplay between functional proteins, none currently offer a complete picture. Mass spectrometry and associated methods provide complementary information to established structural biology tools, and with rapidly evolving technological advances, can in some cases even exceed other techniques by its diversity in application and information content. This is primarily because of the ability of mass spectrometry to precisely identify protein complex stoichiometry, detect individual species present in a mixture, and concomitantly offer conformational information. This review describes the attributes of mass spectrometry for the structural investigation of multiprotein assemblies in the context of recent developments and highlights in the field.

scholarly journals SUMO-specific Isopeptidases Tuning Cardiac SUMOylation in Health and Disease

2021 ◽  
Vol 8 ◽  
Author(s):  
Paul W. Hotz ◽  
Stefan Müller ◽  
Luca Mendler
Keyword(s):  
Protein Interactions ◽  
Cardiovascular Health ◽  
Current Knowledge ◽  
Chromatin Binding ◽  
Protein Protein Interactions ◽  
Target Proteins ◽  
Cellular Processes ◽  
Cardiac Functions ◽  
Health And Disease ◽  
Rapid Kinetics

SUMOylation is a transient posttranslational modification with small-ubiquitin like modifiers (SUMO1, SUMO2 and SUMO3) covalently attached to their target-proteins via a multi-step enzymatic cascade. SUMOylation modifies protein-protein interactions, enzymatic-activity or chromatin binding in a multitude of key cellular processes, acting as a highly dynamic molecular switch. To guarantee the rapid kinetics, SUMO target-proteins are kept in a tightly controlled equilibrium of SUMOylation and deSUMOylation. DeSUMOylation is maintained by the SUMO-specific proteases, predominantly of the SENP family. SENP1 and SENP2 represent family members tuning SUMOylation status of all three SUMO isoforms, while SENP3 and SENP5 are dedicated to detach mainly SUMO2/3 from its substrates. SENP6 and SENP7 cleave polySUMO2/3 chains thereby countering the SUMO-targeted-Ubiquitin-Ligase (StUbL) pathway. Several biochemical studies pinpoint towards the SENPs as critical enzymes to control balanced SUMOylation/deSUMOylation in cardiovascular health and disease. This study aims to review the current knowledge about the SUMO-specific proteases in the heart and provides an integrated view of cardiac functions of the deSUMOylating enzymes under physiological and pathological conditions.

Ca2+-Activated K+ Channels: From Protein Complexes to Function

2010 ◽  
Vol 90 (4) ◽  
pp. 1437-1459 ◽  
Author(s):  
Henrike Berkefeld ◽  
Bernd Fakler ◽  
Uwe Schulte
Keyword(s):  
Protein Interactions ◽  
Muscle Tone ◽  
Protein Complexes ◽  
Neuronal Firing ◽  
Protein Protein Interactions ◽  
Cellular Processes ◽  
And Function ◽  
And Control ◽  
Proteomic Research ◽  
Partner Proteins

Molecular research on ion channels has demonstrated that many of these integral membrane proteins associate with partner proteins, often versatile in their function, or even assemble into stable macromolecular complexes that ensure specificity and proper rate of the channel-mediated signal transduction. Calcium-activated potassium (KCa) channels that link excitability and intracellular calcium concentration are responsible for a wide variety of cellular processes ranging from regulation of smooth muscle tone to modulation of neurotransmission and control of neuronal firing pattern. Most of these functions are brought about by interaction of the channels' pore-forming subunits with distinct partner proteins. In this review we summarize recent insights into protein complexes associated with KCa channels as revealed by proteomic research and discuss the results available on structure and function of these complexes and on the underlying protein-protein interactions. Finally, the results are related to their significance for the function of KCa channels under cellular conditions.

scholarly journals Biotinylation-based proximity labeling proteomics: Basics, applications, and technical considerations

2021 ◽  
Author(s):  
Tomoya Niinae ◽  
Yasushi Ishihama ◽  
Koshi Imami
Keyword(s):  
Protein Interactions ◽  
Cultured Cells ◽  
Protein Complexes ◽  
Protein Composition ◽  
Protein Protein Interactions ◽  
Spatiotemporal Resolution ◽  
Recent Developments ◽  
Protein Nucleic Acid ◽  
Enrichment Techniques ◽  
Technical Considerations

Summary Recent advances in biotinylation-based proximity labeling (PL) have opened up new avenues for mapping the protein composition of cellular compartments and protein complexes in living cells at high spatiotemporal resolution. In particular, PL combined with mass spectrometry-based proteomics has been successfully applied to defining protein-protein interactions, protein-nucleic acid interactions, (membraneless) organelle proteomes, and secretomes in various systems ranging from cultured cells to whole animals. In this review, we first summarize the basics and recent biological applications of PL proteomics, and then highlight recent developments in enrichment techniques for biotinylated proteins and peptides, focusing on the advantages of PL and technical considerations.

scholarly journals Molecular interactions of the M and E integral membrane proteins of SARS-CoV-2

2021 ◽  
Author(s):  
Viviana Monje-Galvan ◽  
Gregory A. Voth
Keyword(s):  
Membrane Proteins ◽  
Protein Interactions ◽  
Protein Complexes ◽  
Integral Membrane Proteins ◽  
Protein Protein Interactions ◽  
Novel Treatments ◽  
Cellular Processes ◽  
Ongoing Work ◽  
Lipid Environment ◽  
Lipid Protein Interactions

AbstractSpecific lipid-protein interactions are key for cellular processes, and even more so for the replication of pathogens. The COVID-19 pandemic has drastically changed our lives and cause the death of nearly three million people worldwide, as of this writing. SARS-CoV-2 is the virus that causes the disease and has been at the center of scientific research over the past year. Most of the research on the virus is focused on key players during its initial attack and entry into the cellular host; namely the S protein, its glycan shield, and its interactions with the ACE2 receptors of human cells. As cases continue to raise around the globe, and new mutants are identified, there is an urgent need to understand the mechanisms of this virus during different stages of its life cycle. Here, we consider two integral membrane proteins of SARS-CoV-2 known to be important for viral assembly and infectivity. We have used microsecond-long all-atom molecular dynamics to examine the lipid-protein and protein-protein interactions of the membrane (M) and envelope (E) structural proteins of SARS-CoV-2 in a complex membrane model. We contrast the two proposed protein complexes for each of these proteins, and quantify their effect on their local lipid environment. This ongoing work also aims to provide molecular-level understanding of the mechanisms of action of this virus to possibly aid in the design of novel treatments.

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