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1.
Nat Commun ; 11(1): 4708, 2020 09 18.
Artigo em Inglês | MEDLINE | ID: mdl-32948758

RESUMO

While the field of microbiology has adapted to the study of complex microbiomes via modern meta-omics techniques, we have not updated our basic knowledge regarding the quantitative levels of DNA, RNA and protein molecules within a microbial cell, which ultimately control cellular function. Here we report the temporal measurements of absolute RNA and protein levels per gene within a mixed bacterial-archaeal consortium. Our analysis of this data reveals an absolute protein-to-RNA ratio of 102-104 for bacterial populations and 103-105 for an archaeon, which is more comparable to Eukaryotic representatives' humans and yeast. Furthermore, we use the linearity between the metaproteome and metatranscriptome over time to identify core functional guilds, hence using a fundamental biological feature (i.e., RNA/protein levels) to highlight phenotypical complementarity. Our findings show that upgrading multi-omic toolkits with traditional absolute measurements unlocks the scaling of core biological questions to dynamic and complex microbiomes, creating a deeper insight into inter-organismal relationships that drive the greater community function.


Assuntos
Microbiota/genética , Microbiota/fisiologia , Proteínas/genética , Proteínas/metabolismo , RNA/genética , RNA/metabolismo , Archaea/genética , Archaea/metabolismo , Bactérias/genética , Bactérias/metabolismo , DNA , Perfilação da Expressão Gênica , Genoma Microbiano , Humanos , Metabolômica , Fenótipo , Proteoma , Proteômica , Transcriptoma , Leveduras
2.
Nat Commun ; 11(1): 4687, 2020 09 18.
Artigo em Inglês | MEDLINE | ID: mdl-32948771

RESUMO

Chemical biology strategies for directly perturbing protein homeostasis including the degradation tag (dTAG) system provide temporal advantages over genetic approaches and improved selectivity over small molecule inhibitors. We describe dTAGV-1, an exclusively selective VHL-recruiting dTAG molecule, to rapidly degrade FKBP12F36V-tagged proteins. dTAGV-1 overcomes a limitation of previously reported CRBN-recruiting dTAG molecules to degrade recalcitrant oncogenes, supports combination degrader studies and facilitates investigations of protein function in cells and mice.


Assuntos
Peptídeo Hidrolases/metabolismo , Proteínas/metabolismo , Proteína Supressora de Tumor Von Hippel-Lindau/metabolismo , Animais , Feminino , Técnicas de Inativação de Genes , Células HEK293 , Humanos , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Endogâmicos NOD , Camundongos Knockout , Modelos Animais , Proteômica , Proteínas Proto-Oncogênicas p21(ras)/genética , Proteína 1A de Ligação a Tacrolimo/genética , Proteína 1A de Ligação a Tacrolimo/metabolismo , Proteínas de Ligação a Tacrolimo , Proteína Supressora de Tumor Von Hippel-Lindau/genética
3.
PLoS Comput Biol ; 16(8): e1008150, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32866140

RESUMO

Precise binding mode identification and subsequent affinity improvement without structure determination remain a challenge in the development of therapeutic proteins. However, relevant experimental techniques are generally quite costly, and purely computational methods have been unreliable. Here, we show that integrated computational and experimental epitope localization followed by full-atom energy minimization can yield an accurate complex model structure which ultimately enables effective affinity improvement and redesign of binding specificity. As proof-of-concept, we used a leucine-rich repeat (LRR) protein binder, called a repebody (Rb), that specifically recognizes human IgG1 (hIgG1). We performed computationally-guided identification of the Rb:hIgG1 binding mode and leveraged the resulting model to reengineer the Rb so as to significantly increase its binding affinity for hIgG1 as well as redesign its specificity toward multiple IgGs from other species. Experimental structure determination verified that our Rb:hIgG1 model closely matched the co-crystal structure. Using a benchmark of other LRR protein complexes, we further demonstrated that the present approach may be broadly applicable to proteins undergoing relatively small conformational changes upon target binding.


Assuntos
Proteínas/química , Humanos , Simulação de Acoplamento Molecular , Ligação Proteica , Conformação Proteica , Proteínas/metabolismo
4.
PLoS Comput Biol ; 16(9): e1008103, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32956350

RESUMO

Highly coordinated water molecules are frequently an integral part of protein-protein and protein-ligand interfaces. We introduce an updated energy model that efficiently captures the energetic effects of these ordered water molecules on the surfaces of proteins. A two-stage method is developed in which polar groups arranged in geometries suitable for water placement are first identified, then a modified Monte Carlo simulation allows highly coordinated waters to be placed on the surface of a protein while simultaneously sampling amino acid side chain orientations. This "semi-explicit" water model is implemented in Rosetta and is suitable for both structure prediction and protein design. We show that our new approach and energy model yield significant improvements in native structure recovery of protein-protein and protein-ligand docking discrimination tests.


Assuntos
Sítios de Ligação/fisiologia , Simulação de Acoplamento Molecular , Ligação Proteica/fisiologia , Proteínas , Água , Algoritmos , Aminoácidos/química , Aminoácidos/metabolismo , Ligação de Hidrogênio , Ligantes , Método de Monte Carlo , Proteínas/química , Proteínas/metabolismo , Água/química , Água/metabolismo
5.
Nat Commun ; 11(1): 4482, 2020 09 08.
Artigo em Inglês | MEDLINE | ID: mdl-32901011

RESUMO

Intracellular trafficking governs receptor signaling, pathogenesis, immune responses and fate of nanomedicines. These processes are typically tracked by observing colocalization of fluorescent markers using confocal microscopy. However, this method is low throughput, limited by the resolution of microscopy, and can miss fleeting interactions. To address this, we developed a localization sensor composed of a quenched SNAP-tag substrate (SNAPSwitch) that can be conjugated to biomolecules using click chemistry. SNAPSwitch enables quantitative detection of trafficking to locations of interest within live cells using flow cytometry. Using SNAPSwitch, we followed the trafficking of DNA complexes from endosomes into the cytosol and nucleus. We show that antibodies against the transferrin or hyaluronan receptor are initially sorted into different compartments following endocytosis. In addition, we can resolve which side of the cellular membrane material was located. These results demonstrate SNAPSwitch is a high-throughput and broadly applicable tool to quantitatively track localization of materials in cells.


Assuntos
DNA/metabolismo , Sondas Moleculares/química , Nanopartículas/metabolismo , Proteínas/metabolismo , Animais , Transporte Biológico Ativo , Técnicas Biossensoriais/métodos , Química Click , Citometria de Fluxo , Corantes Fluorescentes , Células HEK293 , Humanos , Camundongos , Microscopia Confocal , Técnicas de Sonda Molecular , Sondas Moleculares/metabolismo , Células NIH 3T3
6.
Nat Commun ; 11(1): 4768, 2020 09 21.
Artigo em Inglês | MEDLINE | ID: mdl-32958747

RESUMO

Detection and identification of proteins are typically achieved by analyzing protein size, charge, mobility and binding to antibodies, which are critical for biomedical research and disease diagnosis and treatment. Despite the importance, measuring these quantities with one technology and at the single-molecule level has not been possible. Here we tether a protein to a surface with a flexible polymer, drive it into oscillation with an electric field, and image the oscillation with a near field optical imaging method, from which we determine the size, charge, and mobility of the protein. We also measure antibody binding and conformation changes in the protein. The work demonstrates a capability for comprehensive protein analysis and precision protein biomarker detection at the single molecule level.


Assuntos
Proteínas/química , Proteínas/metabolismo , Imagem Individual de Molécula/métodos , Análise de Fourier , Ligantes , Polietilenoglicóis/química , Ligação Proteica , Conformação Proteica , Eletricidade Estática , Compostos de Estanho/química
7.
BMC Bioinformatics ; 21(1): 398, 2020 Sep 09.
Artigo em Inglês | MEDLINE | ID: mdl-32907537

RESUMO

BACKGROUND: Protein biomarkers play important roles in cancer diagnosis. Many efforts have been made on measuring abnormal expression intensity in biological samples to identity cancer types and stages. However, the change of subcellular location of proteins, which is also critical for understanding and detecting diseases, has been rarely studied. RESULTS: In this work, we developed a machine learning model to classify protein subcellular locations based on immunohistochemistry images of human colon tissues, and validated the ability of the model to detect subcellular location changes of biomarker proteins related to colon cancer. The model uses representative image patches as inputs, and integrates feature engineering and deep learning methods. It achieves 92.69% accuracy in classification of new proteins. Two validation datasets of colon cancer biomarkers derived from published literatures and the human protein atlas database respectively are employed. It turns out that 81.82 and 65.66% of the biomarker proteins can be identified to change locations. CONCLUSIONS: Our results demonstrate that using image patches and combining predefined and deep features can improve the performance of protein subcellular localization, and our model can effectively detect biomarkers based on protein subcellular translocations. This study is anticipated to be useful in annotating unknown subcellular localization for proteins and discovering new potential location biomarkers.


Assuntos
Biomarcadores Tumorais/metabolismo , Neoplasias do Colo/patologia , Proteínas/metabolismo , Neoplasias do Colo/metabolismo , Bases de Dados de Proteínas , Humanos , Imuno-Histoquímica , Aprendizado de Máquina , Proteínas/classificação
8.
BMC Bioinformatics ; 21(1): 400, 2020 Sep 10.
Artigo em Inglês | MEDLINE | ID: mdl-32912135

RESUMO

BACKGROUND: Infectious diseases are a cruel assassin with millions of victims around the world each year. Understanding infectious mechanism of viruses is indispensable for their inhibition. One of the best ways of unveiling this mechanism is to investigate the host-pathogen protein-protein interaction network. In this paper we try to disclose many properties of this network. We focus on human as host and integrate experimentally 32,859 interaction between human proteins and virus proteins from several databases. We investigate different properties of human proteins targeted by virus proteins and find that most of them have a considerable high centrality scores in human intra protein-protein interaction network. Investigating human proteins network properties which are targeted by different virus proteins can help us to design multipurpose drugs. RESULTS: As host-pathogen protein-protein interaction network is a bipartite network and centrality measures for this type of networks are scarce, we proposed seven new centrality measures for analyzing bipartite networks. Applying them to different virus strains reveals unrandomness of attack strategies of virus proteins which could help us in drug design hence elevating the quality of life. They could also be used in detecting host essential proteins. Essential proteins are those whose functions are critical for survival of its host. One of the proposed centralities named diversity of predators, outperforms the other existing centralities in terms of detecting essential proteins and could be used as an optimal essential proteins' marker. CONCLUSIONS: Different centralities were applied to analyze human protein-protein interaction network and to detect characteristics of human proteins targeted by virus proteins. Moreover, seven new centralities were proposed to analyze host-pathogen protein-protein interaction network and to detect pathogens' favorite host protein victims. Comparing different centralities in detecting essential proteins reveals that diversity of predator (one of the proposed centralities) is the best essential protein marker.


Assuntos
Interações Hospedeiro-Patógeno , Mapas de Interação de Proteínas , Proteínas/metabolismo , Doenças Transmissíveis/metabolismo , Doenças Transmissíveis/patologia , Doenças Transmissíveis/virologia , Bases de Dados de Proteínas , Humanos , Interface Usuário-Computador , Vírus/patogenicidade
9.
Nat Commun ; 11(1): 4641, 2020 09 15.
Artigo em Inglês | MEDLINE | ID: mdl-32934213

RESUMO

Despite recent advances in circuit engineering, the design of genetic networks in mammalian cells is still painstakingly slow and fraught with inexplicable failures. Here, we demonstrate that transiently expressed genes in mammalian cells compete for limited transcriptional and translational resources. This competition results in the coupling of otherwise independent exogenous and endogenous genes, creating a divergence between intended and actual function. Guided by a resource-aware mathematical model, we identify and engineer natural and synthetic miRNA-based incoherent feedforward loop (iFFL) circuits that mitigate gene expression burden. The implementation of these circuits features the use of endogenous miRNAs as elementary components of the engineered iFFL device, a versatile hybrid design that allows burden mitigation to be achieved across different cell-lines with minimal resource requirements. This study establishes the foundations for context-aware prediction and improvement of in vivo synthetic circuit performance, paving the way towards more rational synthetic construct design in mammalian cells.


Assuntos
Expressão Gênica , Mamíferos/genética , MicroRNAs/genética , Animais , Redes Reguladoras de Genes , Humanos , Mamíferos/metabolismo , Proteínas/genética , Proteínas/metabolismo
10.
Biochem Biophys Res Commun ; 530(1): 4-9, 2020 09 10.
Artigo em Inglês | MEDLINE | ID: mdl-32828312

RESUMO

COVID-19 has become one of the worst epidemic in the world, currently already more than four million people have been infected, which probably co-exist with human beings, and has a significant impact on the global economy and political order. In the process of fighting against the epidemic in China, the clinical value of a variety of herbal medicines has been recognized and written into the clinical application guide. However, their effective molecular mechanism and potential targets are still not clear. Pathology and pharmacology research will gradually attract attention in the post-epidemic outbreak term. Here, we constructed a COVID-19 protein microarray of potential therapy targets, which contains the main drug targets to the SARS-CoV-2 virus and the anti-virus, anti-inflammatory cellar targets of the host. Series of quality controls test has been carried out, which showed that it could be applied for drug target screening of bio-active natural products. The establishment of this microarray will provide a useful tool for the study of the molecular pharmacology of natural products.


Assuntos
Antivirais/farmacologia , Betacoronavirus/efeitos dos fármacos , Infecções por Coronavirus/tratamento farmacológico , Medicamentos de Ervas Chinesas/farmacologia , Pneumonia Viral/tratamento farmacológico , Proteínas/metabolismo , Proteínas Virais/metabolismo , Betacoronavirus/metabolismo , Produtos Biológicos/farmacologia , Ácido Clorogênico/farmacologia , Infecções por Coronavirus/metabolismo , Diterpenos/farmacologia , Descoberta de Drogas , Glucosídeos/farmacologia , Células HEK293 , Humanos , Simulação de Acoplamento Molecular , Terapia de Alvo Molecular , Pandemias , Pneumonia Viral/metabolismo , Análise Serial de Proteínas , Estilbenos/farmacologia
11.
Nat Commun ; 11(1): 4045, 2020 08 13.
Artigo em Inglês | MEDLINE | ID: mdl-32792484

RESUMO

Monobodies are synthetic non-immunoglobulin customizable protein binders invaluable to basic and applied research, and of considerable potential as future therapeutics and diagnostic tools. The ability to reversibly control their binding activity to their targets on demand would significantly expand their applications in biotechnology, medicine, and research. Here we present, as proof-of-principle, the development of a light-controlled monobody (OptoMB) that works in vitro and in cells and whose affinity for its SH2-domain target exhibits a 330-fold shift in binding affinity upon illumination. We demonstrate that our αSH2-OptoMB can be used to purify SH2-tagged proteins directly from crude E. coli extract, achieving 99.8% purity and over 40% yield in a single purification step. By virtue of their ability to be designed to bind any protein of interest, OptoMBs have the potential to find new powerful applications as light-switchable binders of untagged proteins with the temporal and spatial precision afforded by light.


Assuntos
Luz , Optogenética/métodos , Cromatografia de Afinidade , Escherichia coli/genética , Escherichia coli/metabolismo , Células HEK293 , Humanos , Ligação Proteica/efeitos da radiação , Proteínas/química , Proteínas/metabolismo
12.
J Chromatogr A ; 1628: 461444, 2020 Sep 27.
Artigo em Inglês | MEDLINE | ID: mdl-32822983

RESUMO

The effect of bead and ligand structure on protein adsorption was investigated for multimodal anion exchangers combining a quaternary ammonium ion group with hydrophobic moieties: Nuvia aPrime 1 and aPrime 2, based on a 54 µm diameter polymeric bead, and Capto Adhere ImpRes and Capto Adhere, based on agarose beads 51 and 78 µm diameter, respectively. Bovine serum albumin (BSA) monomer, BSA dimer, and thyroglobulin (Tg) were used as model proteins. Based on TEM imaging and iSEC, the Nuvia resins have a microgranular structure and large pores (110 nm radius), while the Capto resins have a fibrous structure and smaller pores (32-36 nm radius). Comparable binding capacities (80-110 mg/mL), decreasing as salt is added, are observed for all three proteins on the Nuvia resins. Higher capacities (110-130 mg/mL), also decreasing as salt is added, are observed for BSA monomer and dimer on the Capto resins. However, the Tg binding capacity is very low in this case and increases as salt is added. Confocal laser scanning microscopy show that the kinetics are controlled by pore diffusion for all four resins, but with diffusivities that decrease as the protein size increases especially for the Capto resins. For Tg at low salt, binding is restricted to a thin shell close to the bead surface for both Capto resins. The ratio of effective and free diffusivity is about 0.30, 0.18, and 0.08 for BSA monomer, BSA dimer, and Tg, respectively, on the Nuvia resin. These values decrease to about 0.11, 0.04, and 0.01, respectively, for the Capto resins as a result of diffusional hindrance. Dynamic binding capacities are consistent with the equilibrium and rate behaviors.


Assuntos
Resinas de Troca de Ânions/química , Cromatografia por Troca Iônica , Proteínas/metabolismo , Adsorção , Ânions/química , Difusão , Interações Hidrofóbicas e Hidrofílicas , Cinética , Ligantes , Polímeros/química , Sefarose/química , Soroalbumina Bovina/química
13.
PLoS One ; 15(8): e0237814, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32804975

RESUMO

Schaaf-Yang syndrome (SYS) is a neurodevelopmental disorder caused by truncating variants in the paternal allele of MAGEL2, located in the Prader-Willi critical region, 15q11-q13. Although the phenotypes of SYS overlap those of Prader-Willi syndrome (PWS), including neonatal hypotonia, feeding problems, and developmental delay/intellectual disability, SYS patients show autism spectrum disorder and joint contractures, which are atypical phenotypes for PWS. Therefore, we hypothesized that the truncated Magel2 protein could potentially produce gain-of-function toxic effects. To test the hypothesis, we generated two engineered mouse models; one, an overexpression model that expressed the N-terminal region of Magel2 that was FLAG tagged with a strong ubiquitous promoter, and another, a genome-edited model that carried a truncating variant in Magel2 generated using the CRISPR/Cas9 system. In the overexpression model, all transgenic mice died in the fetal or neonatal period indicating embryonic or neonatal lethality of the transgene. Therefore, overexpression of the truncated Magel2 could show toxic effects. In the genome-edited model, we generated a mouse model carrying a frameshift variant (c.1690_1924del; p(Glu564Serfs*130)) in Magel2. Model mice carrying the frameshift variant in the paternal or maternal allele of Magel2 were termed Magel2P:fs and Magel2M:fs, respectively. The imprinted expression and spatial distribution of truncating Magel2 transcripts in the brain were maintained. Although neonatal Magel2P:fs mice were lighter than wildtype littermates, Magel2P:fs males and females weighed the same as their wildtype littermates by eight and four weeks of age, respectively. Collectively, the overexpression mouse model may recapitulate fetal or neonatal death, which are the severest phenotypes for SYS. In contrast, the genome-edited mouse model maintains genomic imprinting and distribution of truncated Magel2 transcripts in the brain, but only partially recapitulates SYS phenotypes. Therefore, our results imply that simple gain-of-function toxic effects may not explain the patho-mechanism of SYS, but rather suggest a range of effects due to Magel2 variants as in human SYS patients.


Assuntos
Antígenos de Neoplasias/genética , Mutação/genética , Proteínas/genética , Animais , Antígenos de Neoplasias/química , Antígenos de Neoplasias/metabolismo , Peso Corporal , Encéfalo/metabolismo , Modelos Animais de Doenças , Feminino , Edição de Genes , Regulação da Expressão Gênica , Células HEK293 , Humanos , Masculino , Camundongos Endogâmicos C57BL , Camundongos Transgênicos , Linhagem , Fenótipo , Proteínas/química , Proteínas/metabolismo , RNA Mensageiro/genética , RNA Mensageiro/metabolismo
14.
PLoS Genet ; 16(8): e1008691, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32764743

RESUMO

Primary ciliary dyskinesia (PCD) is characterized by chronic airway disease, reduced fertility, and randomization of the left/right body axis. It is caused by defects of motile cilia and sperm flagella. We screened a cohort of affected individuals that lack an obvious axonemal defect for pathogenic variants using whole exome capture, next generation sequencing, and bioinformatic analysis assuming an autosomal recessive trait. We identified one subject with an apparently homozygous nonsense variant [(c.1762C>T), p.(Arg588*)] in the uncharacterized CFAP57 gene. Interestingly, the variant results in the skipping of exon 11 (58 amino acids), which may be due to disruption of an exonic splicing enhancer. In normal human nasal epithelial cells, CFAP57 localizes throughout the ciliary axoneme. Nasal cells from the PCD patient express a shorter, mutant version of CFAP57 and the protein is not incorporated into the axoneme. The missing 58 amino acids include portions of WD repeats that may be important for loading onto the intraflagellar transport (IFT) complexes for transport or docking onto the axoneme. A reduced beat frequency and an alteration in ciliary waveform was observed. Knockdown of CFAP57 in human tracheobronchial epithelial cells (hTECs) recapitulates these findings. Phylogenetic analysis showed that CFAP57 is highly conserved in organisms that assemble motile cilia. CFAP57 is allelic with the BOP2/IDA8/FAP57 gene identified previously in Chlamydomonas reinhardtii. Two independent, insertional fap57 Chlamydomonas mutant strains show reduced swimming velocity and altered waveforms. Tandem mass tag (TMT) mass spectroscopy shows that FAP57 is missing, and the "g" inner dyneins (DHC7 and DHC3) and the "d" inner dynein (DHC2) are reduced, but the FAP57 paralog FBB7 is increased. Together, our data identify a homozygous variant in CFAP57 that causes PCD that is likely due to a defect in the inner dynein arm assembly process.


Assuntos
Axonema/metabolismo , Transtornos da Motilidade Ciliar/genética , Códon sem Sentido , Dineínas/metabolismo , Proteínas/genética , Células 3T3 , Adulto , Animais , Axonema/fisiologia , Células Cultivadas , Chlamydomonas reinhardtii , Cílios/metabolismo , Cílios/fisiologia , Transtornos da Motilidade Ciliar/patologia , Sequência Conservada , Humanos , Masculino , Camundongos , Proteínas de Plantas/química , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Proteínas/química , Proteínas/metabolismo , Mucosa Respiratória/metabolismo
15.
PLoS Comput Biol ; 16(8): e1007966, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32760072

RESUMO

Protein activity is often regulated by ligand binding or by post-translational modifications such as phosphorylation. Moreover, proteins that are regulated in this way often contain multiple ligand binding sites or modification sites, which can operate to create an ultrasensitive dose response. Here, we consider the contribution of the individual modification/binding sites to the activation process, and how their individual values affect the ultrasensitive behavior of the overall system. We use a generalized Monod-Wyman-Changeux (MWC) model that allows for variable conformational free energy contributions from distinct sites, and associate a so-called activation parameter to each site. Our analysis shows that the ultrasensitivity generally increases as the conformational free energy contribution from one or more sites is strengthened. Furthermore, ultrasensitivity depends on the mean of the activation parameters and not on their variability. In some cases, we find that the best way to maximize ultrasensitivity is to make the contribution from all sites as strong as possible. These results provide insights into the performance objectives of multiple modification/binding sites and thus help gain a greater understanding of signaling and its role in diseases.


Assuntos
Sítios de Ligação/fisiologia , Metabolismo Energético/fisiologia , Processamento de Proteína Pós-Traducional/fisiologia , Proteínas , Transdução de Sinais/fisiologia , Ligantes , Modelos Biológicos , Fosforilação/fisiologia , Conformação Proteica , Subunidades Proteicas , Proteínas/química , Proteínas/metabolismo , Termodinâmica
16.
PLoS Negl Trop Dis ; 14(8): e0008282, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32817655

RESUMO

Muscle cells are potential targets of many arboviruses, such as Ross River, Dengue, Sindbis, and chikungunya viruses, that may be involved in the physiopathological course of the infection. During the recent outbreak of Zika virus (ZIKV), myalgia was one of the most frequently reported symptoms. We investigated the susceptibility of human muscle cells to ZIKV infection. Using an in vitro model of human primary myoblasts that can be differentiated into myotubes, we found that myoblasts can be productively infected by ZIKV. In contrast, myotubes were shown to be resistant to ZIKV infection, suggesting a differentiation-dependent susceptibility. Infection was accompanied by a caspase-independent cytopathic effect, associated with paraptosis-like cytoplasmic vacuolization. Proteomic profiling was performed 24h and 48h post-infection in cells infected with two different isolates. Proteome changes indicate that ZIKV infection induces an upregulation of proteins involved in the activation of the Interferon type I pathway, and a downregulation of protein synthesis. This work constitutes the first observation of primary human muscle cells susceptibility to ZIKV infection, and differentiation-dependent restriction of infection from myoblasts to myotubes. Since myoblasts constitute the reservoir of stem cells involved in reparation/regeneration in muscle tissue, the infection of muscle cells and the viral-induced alterations observed here could have consequences in ZIKV infection pathogenesis.


Assuntos
Diferenciação Celular , Células Musculares/metabolismo , Células Musculares/virologia , Proteômica , Infecção por Zika virus , Morte Celular , Linhagem Celular , Efeito Citopatogênico Viral , Suscetibilidade a Doenças , Interações Hospedeiro-Patógeno , Humanos , Interferon Tipo I/metabolismo , Células Musculares/patologia , Fibras Musculares Esqueléticas/metabolismo , Fibras Musculares Esqueléticas/virologia , Mioblastos/metabolismo , Mioblastos/virologia , Proteínas/metabolismo , Células-Tronco , Replicação Viral , Zika virus/patogenicidade , Infecção por Zika virus/patologia , Infecção por Zika virus/virologia
17.
J Chem Inf Model ; 60(8): 3910-3934, 2020 08 24.
Artigo em Inglês | MEDLINE | ID: covidwho-714258

RESUMO

Protein-protein interactions (PPIs) are attractive targets for drug design because of their essential role in numerous cellular processes and disease pathways. However, in general, PPIs display exposed binding pockets at the interface, and as such, have been largely unexploited for therapeutic interventions with low-molecular weight compounds. Here, we used docking and various rescoring strategies in an attempt to recover PPI inhibitors from a set of active and inactive molecules for 11 targets collected in ChEMBL and PubChem. Our focus is on the screening power of the various developed protocols and on using fast approaches so as to be able to apply such a strategy to the screening of ultralarge libraries in the future. First, we docked compounds into each target using the fast "pscreen" mode of the structure-based virtual screening (VS) package Surflex. Subsequently, the docking poses were postprocessed to derive a set of 3D topological descriptors: (i) shape similarity and (ii) interaction fingerprint similarity with a co-crystallized inhibitor, (iii) solvent-accessible surface area, and (iv) extent of deviation from the geometric center of a reference inhibitor. The derivatized descriptors, together with descriptor-scaled scoring functions, were utilized to investigate possible impacts on VS performance metrics. Moreover, four standalone scoring functions, RF-Score-VS (machine-learning), DLIGAND2 (knowledge-based), Vinardo (empirical), and X-SCORE (empirical), were employed to rescore the PPI compounds. Collectively, the results indicate that the topological scoring algorithms could be valuable both at a global level, with up to 79% increase in areas under the receiver operating characteristic curve for some targets, and in early stages, with up to a 4-fold increase in enrichment factors at 1% of the screened collections. Outstandingly, DLIGAND2 emerged as the best scoring function on this data set, outperforming all rescoring techniques in terms of VS metrics. The described methodology could help in the rational design of small-molecule PPI inhibitors and has direct applications in many therapeutic areas, including cancer, CNS, and infectious diseases such as COVID-19.


Assuntos
Desenho de Fármacos , Descoberta de Drogas , Mapas de Interação de Proteínas/efeitos dos fármacos , Bibliotecas de Moléculas Pequenas/farmacologia , Algoritmos , Betacoronavirus/efeitos dos fármacos , Betacoronavirus/metabolismo , Infecções por Coronavirus/tratamento farmacológico , Infecções por Coronavirus/metabolismo , Bases de Dados de Proteínas , Humanos , Ligantes , Aprendizado de Máquina , Simulação de Acoplamento Molecular , Terapia de Alvo Molecular , Pandemias , Pneumonia Viral/tratamento farmacológico , Pneumonia Viral/metabolismo , Proteínas/química , Proteínas/metabolismo , Bibliotecas de Moléculas Pequenas/química
18.
Biochem Biophys Res Commun ; 530(1): 4-9, 2020 09 10.
Artigo em Inglês | MEDLINE | ID: covidwho-663155

RESUMO

COVID-19 has become one of the worst epidemic in the world, currently already more than four million people have been infected, which probably co-exist with human beings, and has a significant impact on the global economy and political order. In the process of fighting against the epidemic in China, the clinical value of a variety of herbal medicines has been recognized and written into the clinical application guide. However, their effective molecular mechanism and potential targets are still not clear. Pathology and pharmacology research will gradually attract attention in the post-epidemic outbreak term. Here, we constructed a COVID-19 protein microarray of potential therapy targets, which contains the main drug targets to the SARS-CoV-2 virus and the anti-virus, anti-inflammatory cellar targets of the host. Series of quality controls test has been carried out, which showed that it could be applied for drug target screening of bio-active natural products. The establishment of this microarray will provide a useful tool for the study of the molecular pharmacology of natural products.


Assuntos
Antivirais/farmacologia , Betacoronavirus/efeitos dos fármacos , Infecções por Coronavirus/tratamento farmacológico , Medicamentos de Ervas Chinesas/farmacologia , Pneumonia Viral/tratamento farmacológico , Proteínas/metabolismo , Proteínas Virais/metabolismo , Betacoronavirus/metabolismo , Produtos Biológicos/farmacologia , Ácido Clorogênico/farmacologia , Infecções por Coronavirus/metabolismo , Diterpenos/farmacologia , Descoberta de Drogas , Glucosídeos/farmacologia , Células HEK293 , Humanos , Simulação de Acoplamento Molecular , Terapia de Alvo Molecular , Pandemias , Pneumonia Viral/metabolismo , Análise Serial de Proteínas , Estilbenos/farmacologia
19.
J Chem Inf Model ; 60(8): 3910-3934, 2020 08 24.
Artigo em Inglês | MEDLINE | ID: mdl-32786511

RESUMO

Protein-protein interactions (PPIs) are attractive targets for drug design because of their essential role in numerous cellular processes and disease pathways. However, in general, PPIs display exposed binding pockets at the interface, and as such, have been largely unexploited for therapeutic interventions with low-molecular weight compounds. Here, we used docking and various rescoring strategies in an attempt to recover PPI inhibitors from a set of active and inactive molecules for 11 targets collected in ChEMBL and PubChem. Our focus is on the screening power of the various developed protocols and on using fast approaches so as to be able to apply such a strategy to the screening of ultralarge libraries in the future. First, we docked compounds into each target using the fast "pscreen" mode of the structure-based virtual screening (VS) package Surflex. Subsequently, the docking poses were postprocessed to derive a set of 3D topological descriptors: (i) shape similarity and (ii) interaction fingerprint similarity with a co-crystallized inhibitor, (iii) solvent-accessible surface area, and (iv) extent of deviation from the geometric center of a reference inhibitor. The derivatized descriptors, together with descriptor-scaled scoring functions, were utilized to investigate possible impacts on VS performance metrics. Moreover, four standalone scoring functions, RF-Score-VS (machine-learning), DLIGAND2 (knowledge-based), Vinardo (empirical), and X-SCORE (empirical), were employed to rescore the PPI compounds. Collectively, the results indicate that the topological scoring algorithms could be valuable both at a global level, with up to 79% increase in areas under the receiver operating characteristic curve for some targets, and in early stages, with up to a 4-fold increase in enrichment factors at 1% of the screened collections. Outstandingly, DLIGAND2 emerged as the best scoring function on this data set, outperforming all rescoring techniques in terms of VS metrics. The described methodology could help in the rational design of small-molecule PPI inhibitors and has direct applications in many therapeutic areas, including cancer, CNS, and infectious diseases such as COVID-19.


Assuntos
Desenho de Fármacos , Descoberta de Drogas , Mapas de Interação de Proteínas/efeitos dos fármacos , Bibliotecas de Moléculas Pequenas/farmacologia , Algoritmos , Betacoronavirus/efeitos dos fármacos , Betacoronavirus/metabolismo , Infecções por Coronavirus/tratamento farmacológico , Infecções por Coronavirus/metabolismo , Bases de Dados de Proteínas , Humanos , Ligantes , Aprendizado de Máquina , Simulação de Acoplamento Molecular , Terapia de Alvo Molecular , Pandemias , Pneumonia Viral/tratamento farmacológico , Pneumonia Viral/metabolismo , Proteínas/química , Proteínas/metabolismo , Bibliotecas de Moléculas Pequenas/química
20.
PLoS One ; 15(8): e0233820, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32804976

RESUMO

Molecular markers derived from cerebrospinal fluid (CSF) represent an accessible means of exploring the pathobiology of Huntington's disease (HD) in vivo. The endo-lysosomal/autophagy system is dysfunctional in HD, potentially contributing to disease pathogenesis and representing a potential target for therapeutic intervention. Several endo-lysosomal proteins have shown promise as biomarkers in other neurodegenerative diseases; however, they have yet to be fully explored in HD. We performed parallel reaction monitoring mass spectrometry analysis (PRM-MS) of multiple endo-lysosomal proteins in the CSF of 60 HD mutation carriers and 20 healthy controls. Using generalised linear models controlling for age and CAG, none of the 18 proteins measured displayed significant differences in concentration between HD patients and controls. This was affirmed by principal component analysis, in which no significant difference across disease stage was found in any of the three components representing lysosomal hydrolases, binding/transfer proteins and innate immune system/peripheral proteins. However, several proteins were associated with measures of disease severity and cognition: most notably amyloid precursor protein, which displayed strong correlations with composite Unified Huntington's Disease Rating Scale, UHDRS Total Functional Capacity, UHDRS Total Motor Score, Symbol Digit Modalities Test and Stroop Word Reading. We conclude that although endo-lysosomal proteins are unlikely to have value as disease state CSF biomarkers for Huntington's disease, several proteins demonstrate associations with clinical severity, thus warranting further, targeted exploration and validation in larger, longitudinal samples.


Assuntos
Proteínas do Líquido Cefalorraquidiano/metabolismo , Doença de Huntington/líquido cefalorraquidiano , Adulto , Idoso , Precursor de Proteína beta-Amiloide/líquido cefalorraquidiano , Biomarcadores/líquido cefalorraquidiano , Estudos de Casos e Controles , Cognição , Estudos Transversais , Progressão da Doença , Endossomos/metabolismo , Feminino , Proteína Ativadora de G(M2)/líquido cefalorraquidiano , Humanos , Proteína Huntingtina/genética , Doença de Huntington/genética , Doença de Huntington/psicologia , Modelos Lineares , Estudos Longitudinais , Proteína 2 de Membrana Associada ao Lisossomo/líquido cefalorraquidiano , Glicoproteínas de Membrana Associadas ao Lisossomo/líquido cefalorraquidiano , Masculino , Espectrometria de Massas/métodos , Pessoa de Meia-Idade , Análise de Componente Principal , Estudos Prospectivos , Proteínas/metabolismo , Expansão das Repetições de Trinucleotídeos
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