Titin N2A Domain and Its Interactions at the Sarcomere

Titin is a giant protein in the sarcomere that plays an essential role in muscle contraction with actin and myosin filaments. However, its utility goes beyond mechanical functions, extending to versatile and complex roles in sarcomere organization and maintenance, passive force, mechanosensing, and signaling. Titin’s multiple functions are in part attributed to its large size and modular structures that interact with a myriad of protein partners. Among titin’s domains, the N2A element is one of titin’s unique segments that contributes to titin’s functions in compliance, contraction, structural stability, and signaling via protein–protein interactions with actin filament, chaperones, stress-sensing proteins, and proteases. Considering the significance of N2A, this review highlights structural conformations of N2A, its predisposition for protein–protein interactions, and its multiple interacting protein partners that allow the modulation of titin’s biological effects. Lastly, the nature of N2A for interactions with chaperones and proteases is included, presenting it as an important node that impacts titin’s structural and functional integrity.

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The Protein Interactome of Glycolysis in Escherichia coli

Proteomes ◽

10.3390/proteomes9020016 ◽

2021 ◽

Vol 9 (2) ◽

pp. 16

Author(s):

Shomeek Chowdhury ◽

Stephen Hepper ◽

Mudassir K. Lodi ◽

Milton H. Saier ◽

Peter Uetz

Keyword(s):

Escherichia Coli ◽

Protein Interactions ◽

Allosteric Regulation ◽

Glycolytic Enzymes ◽

Protein Protein Interactions ◽

Post Translational Modification ◽

Interacting Protein ◽

E Coli ◽

Protein Interactome ◽

The Impact

Glycolysis is regulated by numerous mechanisms including allosteric regulation, post-translational modification or protein-protein interactions (PPI). While glycolytic enzymes have been found to interact with hundreds of proteins, the impact of only some of these PPIs on glycolysis is well understood. Here we investigate which of these interactions may affect glycolysis in E. coli and possibly across numerous other bacteria, based on the stoichiometry of interacting protein pairs (from proteomic studies) and their conservation across bacteria. We present a list of 339 protein-protein interactions involving glycolytic enzymes but predict that ~70% of glycolytic interactors are not present in adequate amounts to have a significant impact on glycolysis. Finally, we identify a conserved but uncharacterized subset of interactions that are likely to affect glycolysis and deserve further study.

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Structure, Function, Involvement in Diseases and Targeting of 14-3-3 Proteins: An Update

Current Medicinal Chemistry ◽

10.2174/0929867324666170426095015 ◽

2018 ◽

Vol 25 (1) ◽

pp. 5-21 ◽

Cited By ~ 25

Author(s):

Ylenia Cau ◽

Daniela Valensin ◽

Mattia Mori ◽

Sara Draghi ◽

Maurizio Botta

Keyword(s):

Protein Interactions ◽

Molecular Mechanisms ◽

Physiological Role ◽

Specific Protein ◽

Protein Protein Interactions ◽

Cellular Processes ◽

Protein Partners ◽

High Sequence Homology ◽

Small Molecule Modulators

14-3-3 is a class of proteins able to interact with a multitude of targets by establishing protein-protein interactions (PPIs). They are usually found in all eukaryotes with a conserved secondary structure and high sequence homology among species. 14-3-3 proteins are involved in many physiological and pathological cellular processes either by triggering or interfering with the activity of specific protein partners. In the last years, the scientific community has collected many evidences on the role played by seven human 14-3-3 isoforms in cancer or neurodegenerative diseases. Indeed, these proteins regulate the molecular mechanisms associated to these diseases by interacting with (i) oncogenic and (ii) pro-apoptotic proteins and (iii) with proteins involved in Parkinson and Alzheimer diseases. The discovery of small molecule modulators of 14-3-3 PPIs could facilitate complete understanding of the physiological role of these proteins, and might offer valuable therapeutic approaches for these critical pathological states.

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Shaping the regulation of the p53 mRNA tumour suppressor: the co-evolution of genetic signatures

BMC Cancer ◽

10.1186/s12885-019-6118-y ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 5

Author(s):

Konstantinos Karakostis ◽

Robin Fåhraeus

Keyword(s):

Protein Interactions ◽

Rna Structure ◽

Mammalian Cells ◽

Rna World ◽

Genetic Diseases ◽

Protein Protein Interactions ◽

Activation Domain ◽

Interacting Protein ◽

Protein Motifs ◽

Synonymous Mutations

Abstract Structured RNA regulatory motifs exist from the prebiotic stages of the RNA world to the more complex eukaryotic systems. In cases where a functional RNA structure is within the coding sequence a selective pressure drives a parallel co-evolution of the RNA structure and the encoded peptide domain. The p53-MDM2 axis, describing the interactions between the p53 tumor suppressor and the MDM2 E3 ubiquitin ligase, serves as particularly useful model revealing how secondary RNA structures have co-evolved along with corresponding interacting protein motifs, thus having an impact on protein – RNA and protein – protein interactions; and how such structures developed signal-dependent regulation in mammalian systems. The p53(BOX-I) RNA sequence binds the C-terminus of MDM2 and controls p53 synthesis while the encoded peptide domain binds MDM2 and controls p53 degradation. The BOX-I peptide domain is also located within p53 transcription activation domain. The folding of the p53 mRNA structure has evolved from temperature-regulated in pre-vertebrates to an ATM kinase signal-dependent pathway in mammalian cells. The protein – protein interaction evolved in vertebrates and became regulated by the same signaling pathway. At the same time the protein - RNA and protein - protein interactions evolved, the p53 trans-activation domain progressed to become integrated into a range of cellular pathways. We discuss how a single synonymous mutation in the BOX-1, the p53(L22 L), observed in a chronic lymphocyte leukaemia patient, prevents the activation of p53 following DNA damage. The concepts analysed and discussed in this review may serve as a conceptual mechanistic paradigm of the co-evolution and function of molecules having roles in cellular regulation, or the aetiology of genetic diseases and how synonymous mutations can affect the encoded protein.

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Structure and function of human Vps20 and Snf7 proteins

Biochemical Journal ◽

10.1042/bj20031347 ◽

2004 ◽

Vol 377 (3) ◽

pp. 693-700 ◽

Cited By ~ 47

Author(s):

Jeremy W. PECK ◽

Emma T. BOWDEN ◽

Peter D. BURBELO

Keyword(s):

Protein Interactions ◽

Osmotic Shock ◽

Multivesicular Body ◽

Protein Protein Interactions ◽

Interacting Protein ◽

Endosomal Membrane ◽

Genomic Studies ◽

Vacuolar Protein ◽

And Function

Snf7p (sucrose non-fermenting) and Vps20p (vacuolar protein-sorting) are small coil-coiled proteins involved in yeast MVB (multivesicular body) structure, formation and function. In the present study, we report the identification of three human homologues of yeast Snf7p, designated hSnf7-1, hSnf7-2 and hSnf7-3, and a single human Vps20p homologue, designated hVps20, that may have similar roles in humans. Immunofluorescence studies showed that hSnf7-1 and hSnf7-3 localized in large vesicular structures that also co-localized with late endosomal/lysosomal structures induced by overexpressing an ATPase-defective Vps4-A mutant. In contrast, overexpressed hVps20 showed a typical endosomal membrane-staining pattern, and co-expression of hVps20 with Snf7-1 dispersed the large Snf7-staining vesicles. Interestingly, overexpression of both hSnf7 and hVps20 proteins induced a post-endosomal defect in cholesterol sorting. To explore possible protein–protein interactions involving hSnf7 proteins, we used information from yeast genomic studies showing that yeast Snf7p can interact with proteins involved in MVB function. Using a glutathione S-transferase-capture approach with several mammalian homologues of such yeast Snf7p-interacting proteins, we found that all three hSnf7s interacted with mouse AIP1 [ALG-2 (apoptosis-linked gene 2) interacting protein 1], a mammalian Bro1p [BCK1 (bypass of C kinase)-like resistance to osmotic shock]-containing protein involved in cellular vacuolization and apoptosis. Whereas mapping experiments showed that the N-terminus of AIP1 containing both a Bro1 and an α-helical domain were required for interaction with hSnf7-1, Snf7-1 did not interact with another human Bro1-containing molecule, rhophilin-2. Co-immunoprecipitation experiments confirmed the in vivo interaction of hSnf7-1 and AIP1. Additional immunofluorescence experiments showed that hSnf7-1 recruited cytosolic AIP1 to the Snf7-induced vacuolar-like structures. Together these results suggest that mammalian Vps20, AIP1 and Snf7 proteins, like their yeast counterparts, play roles in MVB function.

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Selectivity of Protein Interactions along the Aggregation Pathway of α-Synuclein

10.1101/2021.01.29.428744 ◽

2021 ◽

Author(s):

André D. G. Leitão ◽

Paulina Rudolffi Soto ◽

Alexandre Chappard ◽

Akshay Bhumkar ◽

Dominic J. B. Hunter ◽

...

Keyword(s):

Single Molecule ◽

Protein Interactions ◽

Self Assembly ◽

Amyloid Fibrils ◽

Lewy Bodies ◽

Coincidence Detection ◽

Protein Protein Interactions ◽

Assembly Pathway ◽

Protein Partners ◽

Molecular Complexity

AbstractThe aggregation of α-SYN follows a cascade of oligomeric, prefibrillar and fibrillar forms, culminating in the formation of Lewy Bodies (LB), the pathological hallmarks of Parkinson’s Disease in neurons. Whilst α-synuclein is a major contributor to LB, these dense accumulations of protein aggregates and tangles of fibrils contain over 70 different proteins. However, the potential for interactions between these proteins and the different aggregated species of α-SYN is largely unknown. We hypothesized that the proteins present in the Lewy Bodies are trapped or pulled into the aggregates in a hierarchical manner, by binding at specific stages of the aggregation of α-SYN.In this study we uncover a map of interactions of a total of 65 proteins, against different species formed by α-SYN. We measured binding to monomeric α-SYN using AlphaScreen, a sensitive nano-bead assay for detection of protein-protein interactions. To access different oligomeric species, we made use of the pathological mutants of α-SYN (A30P, G51D and A53T), which form oligomeric species with distinct properties. Finally, we used bacterially expressed recombinant α-SYN to generate amyloid fibrils and measure interactions with a pool of GFP-tagged potential partners. Binding to oligomers and fibrils was measured by two-color coincidence detection (TCCD) on a single molecule spectroscopy setup. Overall, we demonstrate that LB components are selectively recruited to specific steps in the formation of the LB, explaining their presence in the inclusions. Only a few proteins were found to interact with α-SYN monomers at detectable levels, and only a subset recognizes the oligomeric α-SYN including autophagosomal proteins. We therefore propose a new model for the formation of Lewy Bodies, where selectivity of protein partners at different steps drives the arrangement of these structures, uncovering new ways to modulate aggregation.Significance StatementThe molecular complexity of the Lewy Bodies has been a major hindrance to a bottom-up reconstruction of these inclusions, protein by protein. This work presents an extensive dataset of protein-protein interactions, showing that despite its small size and absence of structure, α-SYN binds to specific partners in the LB, and that there is a clear selectivity of interactions between the different α-SYN species along the self-assembly pathway. We use single-molecule methods to deconvolute number and size of the co-aggregates, to gain detailed information about the mechanisms of interaction. These observations constitute the basis for the elaboration of a global interactome of α-SYN.

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Sab (SH3BP5), a novel mitochondria-localized JNK-interacting protein

Biochemical Society Transactions ◽

10.1042/bst0321075 ◽

2004 ◽

Vol 32 (6) ◽

pp. 1075-1077 ◽

Cited By ~ 23

Author(s):

C. Wiltshire ◽

D.A.F. Gillespie ◽

G.H.W. May

Keyword(s):

Tyrosine Kinase ◽

Protein Interactions ◽

Bruton’S Tyrosine Kinase ◽

Protein Protein Interactions ◽

Bruton's Tyrosine Kinase ◽

Interacting Protein ◽

Subcellular Compartment ◽

Cellular Processes ◽

Mitogen Activated Protein ◽

Src Homology

The JNK (c-Jun N-terminal kinase) pathway is activated by diverse stresses and can have an effect on a number of different cellular processes. Protein–protein interactions are critical for efficient signalling from JNK to multiple targets; through a screen for interacting proteins, we identified a novel JNK-interacting protein, Sab (SH3BP5). Sab has previously been found to interact with the Src homology 3 domain of Bruton's tyrosine kinase; however, the interaction with JNK occurs through a mitogen-activated protein KIM (kinase interaction motif) in a region distinct from the Bruton's tyrosine kinase-binding domain. As with c-Jun, the presence of this KIM is essential for Sab to act as a JNK substrate. Interestingly, Sab is associated with the mitochondria and co-localizes with a portion of active JNK after stress treatment. The present study and previously reported work may suggest a possible role for Sab in targeting JNK to this subcellular compartment and/or mediating crosstalk between different signal-transduction pathways.

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Internetwork connectivity of molecular networks across species of life

Scientific Reports ◽

10.1038/s41598-020-80745-9 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Tarun Mahajan ◽

Roy D. Dar

Keyword(s):

Molecular Interactions ◽

Protein Interactions ◽

Transcriptional Regulatory Network ◽

Building Blocks ◽

Hierarchical Organization ◽

Molecular Networks ◽

Protein Protein Interactions ◽

Interacting Protein ◽

Protein Protein Interaction ◽

Eukaryotic Species

AbstractMolecular interactions are studied as independent networks in systems biology. However, molecular networks do not exist independently of each other. In a network of networks approach (called multiplex), we study the joint organization of transcriptional regulatory network (TRN) and protein–protein interaction (PPI) network. We find that TRN and PPI are non-randomly coupled across five different eukaryotic species. Gene degrees in TRN (number of downstream genes) are positively correlated with protein degrees in PPI (number of interacting protein partners). Gene–gene and protein–protein interactions in TRN and PPI, respectively, also non-randomly overlap. These design principles are conserved across the five eukaryotic species. Robustness of the TRN–PPI multiplex is dependent on this coupling. Functionally important genes and proteins, such as essential, disease-related and those interacting with pathogen proteins, are preferentially situated in important parts of the human multiplex with highly overlapping interactions. We unveil the multiplex architecture of TRN and PPI. Multiplex architecture may thus define a general framework for studying molecular networks. This approach may uncover the building blocks of the hierarchical organization of molecular interactions.

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LncRNAs and Immunity: Coding the Immune System with Noncoding Oligonucleotides

International Journal of Molecular Sciences ◽

10.3390/ijms22041741 ◽

2021 ◽

Vol 22 (4) ◽

pp. 1741

Author(s):

Marco Bocchetti ◽

Marianna Scrima ◽

Federica Melisi ◽

Amalia Luce ◽

Rossella Sperlongano ◽

...

Keyword(s):

Inflammatory Bowel Disease ◽

Protein Interactions ◽

Biological Effects ◽

Noncoding Rnas ◽

Immune Mechanism ◽

Protein Protein Interactions ◽

Immune Mediated ◽

Inflammatory Bowel ◽

In Cis ◽

Rna And Dna

Long noncoding RNAs (lncRNAs) represent key regulators of gene transcription during the inflammatory response. Recent findings showed lncRNAs to be dysregulated in human diseases, such as inflammatory bowel disease, diabetes, allergies, asthma, and cancer. These noncoding RNAs are crucial for immune mechanism, as they are involved in differentiation, cell migration and in the production of inflammatory mediators through regulating protein–protein interactions or their ability to assemble with RNA and DNA. The last interaction can occur in cis or trans and is responsible for all the possible lncRNAs biological effects. Our proposal is to provide an overview on lncRNAs roles and functions related to immunity and immune mediated diseases, since these elucidations could be beneficial to untangle the complex bond between them.

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Improved prediction of protein-protein interactions using AlphaFold2

10.21203/rs.3.rs-951605/v1 ◽

2021 ◽

Author(s):

Patrick Bryant ◽

Gabriele Pozzati ◽

Arne Elofsson

Keyword(s):

Protein Interactions ◽

Protein Complexes ◽

Interacting Proteins ◽

Bacterial Protein ◽

Protein Protein Interactions ◽

Multiple Sequence ◽

Test Set ◽

Interacting Protein ◽

Identification Rate ◽

Homologous Sequences

Abstract Predicting the structure of interacting protein chains is fundamental for understanding the function of proteins. Here, we examine the use of AlphaFold2 (AF2) for predicting the structure of heterodimeric protein complexes. We find that using the default AF2 protocol, 44% of the models in a test set can be predicted accurately. However, by optimising the multiple sequence alignment, we can increase the accuracy to 59%. In comparison, the alternative fold-and-dock method RoseTTAFold is only successful in 10% of the cases on this set, template-based docking 35% and traditional docking methods 22%. We can distinguish acceptable (DockQ>0.23) from incorrect models with an AUC of 0.85 on the test set by analysing the predicted interfaces. The success is higher for bacterial protein pairs, pairs with large interaction areas consisting of helices or sheets, and many homologous sequences. Further, we test the possibility to distinguish interacting from non-interacting proteins and find that by analysing the predicted interfaces, we can separate truly interacting from non-interacting proteins with an AUC of 0.82 in the ROC curve, compared to 0.76 with a recently published method. In addition, when using a more realistic negative set, including mammalian proteins, the identification rate remains (AUC=0.83), resulting in that 27% of interactions can be identified at a 1% FPR. All scripts and tools to run our protocol are freely available at: https://gitlab.com/ElofssonLab/FoldDock.

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Revisiting paradigms of Ca2+ signaling protein kinase regulation in plants

Biochemical Journal ◽

10.1042/bcj20170022 ◽

2018 ◽

Vol 475 (1) ◽

pp. 207-223 ◽

Cited By ~ 20

Author(s):

Kyle W. Bender ◽

Raymond E. Zielinski ◽

Steven C. Huber

Keyword(s):

Protein Kinases ◽

Protein Interactions ◽

Intramolecular Interactions ◽

Protein Protein Interactions ◽

Interacting Protein ◽

Early Results ◽

Activation Mechanisms ◽

Dependent Protein ◽

Ef Hands

Calcium (Ca2+) serves as a universal second messenger in eukaryotic signal transduction. Understanding the Ca2+ activation kinetics of Ca2+ sensors is critical to understanding the cellular signaling mechanisms involved. In this review, we discuss the regulatory properties of two sensor classes: the Ca2+-dependent protein kinases (CPKs/CDPKs) and the calcineurin B-like (CBL) proteins that control the activity of CBL-interacting protein kinases (CIPKs) and identify emerging topics and some foundational points that are not well established experimentally. Most plant CPKs are activated by physiologically relevant Ca2+ concentrations except for those with degenerate EF hands, and new results suggest that the Ca2+-dependence of kinase activation may be modulated by both protein–protein interactions and CPK autophosphorylation. Early results indicated that activation of plant CPKs by Ca2+ occurred by relief of autoinhibition. However, recent studies of protist CDPKs suggest that intramolecular interactions between CDPK domains contribute allosteric control to CDPK activation. Further studies are required to elucidate the mechanisms regulating plant CPKs. With CBL–CIPKs, the two major activation mechanisms are thought to be (i) binding of Ca2+-bound CBL to the CIPK and (ii) phosphorylation of residues in the CIPK activation loop. However, the relative importance of these two mechanisms in regulating CIPK activity is unclear. Furthermore, information detailing activation by physiologically relevant [Ca2+] is lacking, such that the paradigm of CBLs as Ca2+ sensors still requires critical, experimental validation. Developing models of CPK and CIPK regulation is essential to understand how these kinases mediate Ca2+ signaling and to the design of experiments to test function in vivo.

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