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1.
J Biol Chem ; 292(35): 14438-14455, 2017 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-28718450

RESUMO

Phosphatidylinositol-transfer proteins (PITPs) regulate phosphoinositide signaling in eukaryotic cells. The defining feature of PITPs is their ability to exchange phosphatidylinositol (PtdIns) molecules between membranes, and this property is central to PITP-mediated regulation of lipid signaling. However, the details of the PITP-mediated lipid exchange cycle remain entirely obscure. Here, all-atom molecular dynamics simulations of the mammalian StART-like PtdIns/phosphatidylcholine (PtdCho) transfer protein PITPα, both on membrane bilayers and in solvated systems, informed downstream biochemical analyses that tested key aspects of the hypotheses generated by the molecular dynamics simulations. These studies provided five key insights into the PITPα lipid exchange cycle: (i) interaction of PITPα with the membrane is spontaneous and mediated by four specific protein substructures; (ii) the ability of PITPα to initiate closure around the PtdCho ligand is accompanied by loss of flexibility of two helix/loop regions, as well as of the C-terminal helix; (iii) the energy barrier of phospholipid extraction from the membrane is lowered by a network of hydrogen bonds between the lipid molecule and PITPα; (iv) the trajectory of PtdIns or PtdCho into and through the lipid-binding pocket is chaperoned by sets of PITPα residues conserved throughout the StART-like PITP family; and (v) conformational transitions in the C-terminal helix have specific functional involvements in PtdIns transfer activity. Taken together, these findings provide the first mechanistic description of key aspects of the PITPα PtdIns/PtdCho exchange cycle and offer a rationale for the high conservation of particular sets of residues across evolutionarily distant members of the metazoan StART-like PITP family.


Assuntos
Bicamadas Lipídicas/metabolismo , Modelos Moleculares , Fosfatidilcolinas/metabolismo , Fosfatidilinositóis/metabolismo , Proteínas de Transferência de Fosfolipídeos/metabolismo , Sequência de Aminoácidos , Substituição de Aminoácidos , Animais , Apoproteínas/química , Apoproteínas/genética , Apoproteínas/metabolismo , Transporte Biológico , Biologia Computacional , Sequência Conservada , Transferência de Energia , Ligação de Hidrogênio , Ligantes , Bicamadas Lipídicas/química , Simulação de Dinâmica Molecular , Mutação de Sentido Incorreto , Fosfatidilcolinas/química , Fosfatidilinositóis/química , Proteínas de Transferência de Fosfolipídeos/química , Proteínas de Transferência de Fosfolipídeos/genética , Polimorfismo de Nucleotídeo Único , Conformação Proteica , Domínios e Motivos de Interação entre Proteínas , Ratos , Proteínas Recombinantes/química , Proteínas Recombinantes/metabolismo
2.
PLoS Comput Biol ; 13(7): e1005663, 2017 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-28715483

RESUMO

Hyaluronan is a polyanionic, megadalton-scale polysaccharide, which initiates cell signaling by interacting with several receptor proteins including CD44 involved in cell-cell interactions and cell adhesion. Previous studies of the CD44 hyaluronan binding domain have identified multiple widespread residues to be responsible for its recognition capacity. In contrast, the X-ray structural characterization of CD44 has revealed a single binding mode associated with interactions that involve just a fraction of these residues. In this study, we show through atomistic molecular dynamics simulations that hyaluronan can bind CD44 with three topographically different binding modes that in unison define an interaction fingerprint, thus providing a plausible explanation for the disagreement between the earlier studies. Our results confirm that the known crystallographic mode is the strongest of the three binding modes. The other two modes represent metastable configurations that are readily available in the initial stages of the binding, and they are also the most frequently observed modes in our unbiased simulations. We further discuss how CD44, fostered by the weaker binding modes, diffuses along HA when attached. This 1D diffusion combined with the constrained relative orientation of the diffusing proteins is likely to influence the aggregation kinetics of CD44. Importantly, CD44 aggregation has been suggested to be a possible mechanism in CD44-mediated signaling.


Assuntos
Receptores de Hialuronatos/química , Receptores de Hialuronatos/metabolismo , Ácido Hialurônico/química , Ácido Hialurônico/metabolismo , Biologia Computacional , Humanos , Simulação de Dinâmica Molecular , Ligação Proteica , Conformação Proteica
3.
Sci Adv ; 10(10): eadl2097, 2024 Mar 08.
Artigo em Inglês | MEDLINE | ID: mdl-38457493

RESUMO

Janus kinase 2 (JAK2) mediates type I/II cytokine receptor signaling, but JAK2 is also activated by somatic mutations that cause hematological malignancies by mechanisms that are still incompletely understood. Quantitative superresolution microscopy (qSMLM) showed that erythropoietin receptor (EpoR) exists as monomers and dimerizes upon Epo stimulation or through the predominant JAK2 pseudokinase domain mutations (V617F, K539L, and R683S). Crystallographic analysis complemented by kinase activity analysis and atomic-level simulations revealed distinct pseudokinase dimer interfaces and activation mechanisms for the mutants: JAK V617F activity is driven by dimerization, K539L involves both increased receptor dimerization and kinase activity, and R683S prevents autoinhibition and increases catalytic activity and drives JAK2 equilibrium toward activation state through a wild-type dimer interface. Artificial intelligence-guided modeling and simulations revealed that the pseudokinase mutations cause differences in the pathogenic full-length JAK2 dimers, particularly in the FERM-SH2 domains. A detailed molecular understanding of mutation-driven JAK2 hyperactivation may enable novel therapeutic approaches to selectively target pathogenic JAK2 signaling.


Assuntos
Eritropoetina , Janus Quinase 2 , Inteligência Artificial , Eritropoetina/genética , Janus Quinase 2/genética , Janus Quinase 2/metabolismo , Mutação , Receptores da Eritropoetina/genética , Transdução de Sinais/genética , Humanos
4.
Comput Struct Biotechnol J ; 20: 3336-3346, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35720615

RESUMO

SARS-CoV-2 main protease (Mpro) involved in COVID-19 is required for maturation of the virus and infection of host cells. The key question is how to block the activity of Mpro. By combining atomistic simulations with machine learning, we found that the enzyme regulates its own activity by a collective allosteric mechanism that involves dimerization and binding of a single substrate. At the core of the collective mechanism is the coupling between the catalytic site residues, H41 and C145, which direct the activity of Mpro dimer, and two salt bridges formed between R4 and E290 at the dimer interface. If these salt bridges are mutated, the activity of Mpro is blocked. The results suggest that dimerization of main proteases is a general mechanism to foster coronavirus proliferation, and propose a robust drug-based strategy that does not depend on the frequently mutating spike proteins at the viral envelope used to develop vaccines.

5.
Sci Rep ; 11(1): 5239, 2021 03 04.
Artigo em Inglês | MEDLINE | ID: mdl-33664400

RESUMO

While DNA encodes protein structure, glycans provide a complementary layer of information to protein function. As a prime example of the significance of glycans, the ability of the cell surface receptor CD44 to bind its ligand, hyaluronan, is modulated by N-glycosylation. However, the details of this modulation remain unclear. Based on atomistic simulations and NMR, we provide evidence that CD44 has multiple distinct binding sites for hyaluronan, and that N-glycosylation modulates their respective roles. We find that non-glycosylated CD44 favors the canonical sub-micromolar binding site, while glycosylated CD44 binds hyaluronan with an entirely different micromolar binding site. Our findings show (for the first time) how glycosylation can alter receptor affinity by shielding specific regions of the host protein, thereby promoting weaker binding modes. The mechanism revealed in this work emphasizes the importance of glycosylation in protein function and poses a challenge for protein structure determination where glycosylation is usually neglected.


Assuntos
Receptores de Hialuronatos/genética , Ácido Hialurônico/genética , Polissacarídeos/genética , Conformação Proteica , Sítios de Ligação/genética , Adesão Celular/genética , Glicosilação , Humanos , Receptores de Hialuronatos/ultraestrutura , Espectroscopia de Ressonância Magnética , Ligação Proteica/genética , Receptores de Superfície Celular/genética
6.
Curr Biol ; 31(22): 4956-4970.e9, 2021 11 22.
Artigo em Inglês | MEDLINE | ID: mdl-34610274

RESUMO

Actin-rich cellular protrusions direct versatile biological processes from cancer cell invasion to dendritic spine development. The stability, morphology, and specific biological functions of these protrusions are regulated by crosstalk between three main signaling axes: integrins, actin regulators, and small guanosine triphosphatases (GTPases). SHANK3 is a multifunctional scaffold protein, interacting with several actin-binding proteins and a well-established autism risk gene. Recently, SHANK3 was demonstrated to sequester integrin-activating small GTPases Rap1 and R-Ras to inhibit integrin activity via its Shank/ProSAP N-terminal (SPN) domain. Here, we demonstrate that, in addition to scaffolding actin regulators and actin-binding proteins, SHANK3 interacts directly with actin through its SPN domain. Molecular simulations and targeted mutagenesis of the SPN-ankyrin repeat region (ARR) interface reveal that actin binding is inhibited by an intramolecular closed conformation of SHANK3, where the adjacent ARR domain covers the actin-binding interface of the SPN domain. Actin and Rap1 compete with each other for binding to SHANK3, and mutation of SHANK3, resulting in reduced actin binding, augments inhibition of Rap1-mediated integrin activity. This dynamic crosstalk has functional implications for cell morphology and integrin activity in cancer cells. In addition, SHANK3-actin interaction regulates dendritic spine morphology in neurons and autism-linked phenotypes in vivo.


Assuntos
Actinas , Fenômenos Biológicos , Actinas/metabolismo , Integrinas/metabolismo , Proteínas dos Microfilamentos/metabolismo , Proteínas do Tecido Nervoso/genética , Proteínas do Tecido Nervoso/metabolismo , Proteínas rap1 de Ligação ao GTP/genética , Proteínas rap1 de Ligação ao GTP/metabolismo
7.
Science ; 367(6478): 643-652, 2020 02 07.
Artigo em Inglês | MEDLINE | ID: mdl-32029621

RESUMO

Homodimeric class I cytokine receptors are assumed to exist as preformed dimers that are activated by ligand-induced conformational changes. We quantified the dimerization of three prototypic class I cytokine receptors in the plasma membrane of living cells by single-molecule fluorescence microscopy. Spatial and spatiotemporal correlation of individual receptor subunits showed ligand-induced dimerization and revealed that the associated Janus kinase 2 (JAK2) dimerizes through its pseudokinase domain. Oncogenic receptor and hyperactive JAK2 mutants promoted ligand-independent dimerization, highlighting the formation of receptor dimers as the switch responsible for signal activation. Atomistic modeling and molecular dynamics simulations based on a detailed energetic analysis of the interactions involved in dimerization yielded a mechanistic blueprint for homodimeric class I cytokine receptor activation and its dysregulation by individual mutations.


Assuntos
Carcinogênese/genética , Membrana Celular/química , Janus Quinase 2/química , Janus Quinase 2/genética , Multimerização Proteica , Receptores da Eritropoetina/química , Receptores da Somatotropina/química , Receptores de Trombopoetina/química , Substituição de Aminoácidos/genética , Células HeLa , Humanos , Janus Quinase 2/antagonistas & inibidores , Ligantes , Microscopia de Fluorescência , Modelos Moleculares , Mutação , Nitrilas , Fenilalanina/genética , Pirazóis/farmacologia , Pirimidinas , Transdução de Sinais , Imagem Individual de Molécula , Valina/genética
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