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1.
Tuberculosis (Edinb) ; 147: 102515, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38744006

RESUMO

A rapid and comprehensive drug susceptibility test is essential for eliminating drug resistant tuberculosis. Next generation sequencing (NGS) based susceptibility testing is being explored as a potential substitute for the conventional phenotypic and genotypic testing methods. However, the adoption of NGS based genotypic susceptibility testing depends on the availability of simple, accurate and efficient analysis tools. This preliminary study aimed to evaluate the performance of a Mycobacterium tuberculosis (Mtb) genome analysis pipeline, AAICare®-TB, for susceptibility prediction, in comparison to two widely used gDST prediction tools, TB-Profiler and Mykrobe. This study was performed in a National Reference Laboratory in India on presumptive drug-resistant tuberculosis (DR-TB) isolates. Whole genome sequences of the 120 cultured isolates were obtained through Illumina sequencing on a MiSeq platform. Raw sequences were simultaneously analysed using the three tools. Susceptibility prediction reports thus generated, were compared to estimate the total concordance and discordance. WHO mutation catalogue (1st edition, 2021) was used as the reference standard for categorizing the mutations. In this study, AAICare®-TB was able to predict drug resistance status for First Line (Streptomycin, Isoniazid, Rifampicin, Ethambutol and Pyrazinamide) and Second Line drugs (Fluoroquinolones, Second Line Injectables and Ethionamide) in 93 samples along with lineage and hetero-resistance as per the WHO guidelines.


Assuntos
Antituberculosos , Testes de Sensibilidade Microbiana , Mycobacterium tuberculosis , Tuberculose Resistente a Múltiplos Medicamentos , Mycobacterium tuberculosis/genética , Mycobacterium tuberculosis/efeitos dos fármacos , Mycobacterium tuberculosis/isolamento & purificação , Tuberculose Resistente a Múltiplos Medicamentos/diagnóstico , Tuberculose Resistente a Múltiplos Medicamentos/microbiologia , Tuberculose Resistente a Múltiplos Medicamentos/tratamento farmacológico , Humanos , Antituberculosos/farmacologia , Antituberculosos/uso terapêutico , Farmacorresistência Bacteriana Múltipla/genética , Mutação , Sequenciamento de Nucleotídeos em Larga Escala , Valor Preditivo dos Testes , Reprodutibilidade dos Testes , Sequenciamento Completo do Genoma/métodos , Genótipo , Índia , Fenótipo
2.
J Vis Exp ; (202)2023 Dec 08.
Artigo em Inglês | MEDLINE | ID: mdl-38145372

RESUMO

Most bacteria, including mycobacteria, generate extracellular vesicles (EVs). Since bacterial EVs (bEVs) contain a subset of cellular components, including metabolites, lipids, proteins, and nucleic acids, several groups have evaluated either the native or recombinant versions of bEVs for their protective potency as subunit vaccine candidates. Unlike native EVs, recombinant EVs are molecularly engineered to contain one or more immunogens of interest. Over the last decade, different groups have explored diverse approaches for generating recombinant bEVs. However, here, we report the design, construction, and enrichment of recombinant mycobacterial EVs (mEVs) in mycobacteria. Towards that, we use Mycobacterium smegmatis (Msm), an avirulent soil mycobacterium as the model system. We first describe the generation and enrichment of native EVs of Msm. Then, we describe the design and construction of recombinant mEVs that contain either mCherry, a red fluorescent reporter protein, or EsxA (Esat-6), a prominent immunogen of Mycobacterium tuberculosis. We achieve this by separately fusing mCherry and EsxA N-termini with the C-terminus of a small Msm protein Cfp-29. Cfp-29 is one of the few abundantly present proteins of MsmEVs. The protocol to generate and enrich recombinant mEVs from Msm remains identical to the generation and enrichment of native EVs of Msm.


Assuntos
Vesículas Extracelulares , Mycobacterium tuberculosis , Mycobacterium tuberculosis/genética , Mycobacterium smegmatis/genética , Vesículas Extracelulares/metabolismo , Proteínas de Bactérias/genética , Proteínas de Bactérias/metabolismo
3.
PLoS One ; 14(4): e0215123, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30969995

RESUMO

Mycobacterium tuberculosis (Mtb) secretes proteases and peptidases to subjugate its host. Out of its sixty plus proteases, atleast three are reported to reach host macrophages. In this study, we show that Mtb also delivers a lysyl alanine aminopeptidase, PepN (Rv2467) into host macrophage cytosol. Our comparative in silico analysis shows PepNMtb highly conserved across all pathogenic mycobacteria. Non-pathogenic mycobacteria including M. smegmatis (Msm) also encode pepN. PepN protein levels in both Mtb (pathogenic) and Msm (non-pathogenic) remain uniform across all in vitro growth phases. Despite such tight maintenance of PepNs' steady state levels, upon supplementation, Mtb alone allows accumulation of any excessive PepN. In contrast, Msm does not. It not only proteolyzes, but also secretes out the excessive PepN, be it native or foreign. Interestingly, while PepNMtb is required for modulating virulence in vivo, PepNMsm is essential for Msm growth in vitro. Despite such essentiality difference, both PepNMtb and PepNMsm harbor almost identical N-terminal M1-type peptidase domains that significantly align in their amino acid sequences and overlap in their secondary structures. Their C-terminal ERAP1_C-like domains however align much more moderately. Our in vitro macrophage-based infection experiments with MtbΔpepN-expressing pepNMsm reveals PepNMsm also retaining the ability to reach host cytosol. Lastly, but notably, we determined the PepNMtb and PepNMsm interactomes and found them to barely coincide. While PepNMtb chiefly interacts with Mtb's secreted proteins, PepNMsm primarily coimmunoprecipitates with Msm's housekeeping proteins. Thus, despite high sequence homology and several common properties, our comparative analytical study reveals host-centric traits of pathogenic and bacterial-centric traits of non-pathogenic PepNs.


Assuntos
Aminopeptidases/metabolismo , Proteínas de Bactérias/metabolismo , Mycobacterium tuberculosis/metabolismo , Aminopeptidases/química , Aminopeptidases/genética , Proteínas de Bactérias/química , Proteínas de Bactérias/genética , Linhagem Celular , Cromatografia Líquida de Alta Pressão , Clonagem Molecular , Biologia Computacional , Técnicas de Inativação de Genes , Humanos , Macrófagos/citologia , Macrófagos/microbiologia , Macrófagos/patologia , Espectrometria de Massas , Microscopia de Fluorescência , Mutagênese Sítio-Dirigida , Mycobacterium tuberculosis/crescimento & desenvolvimento , Mycobacterium tuberculosis/patogenicidade , Peptídeos/análise
4.
J Bioinform Comput Biol ; 12(3): 1450006, 2014 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-24969744

RESUMO

Immune complexes involving diverse antigens and corresponding antibodies were analyzed for mapping conformational transitions of an antibody before antigen binding, upon antigen binding and after antigen release. Molecular dynamics simulations of the two comprehensive datasets consisting of the antigen-free and antigen-bound structures of the germline antibodies 36-65 and BBE6.12H3 provided mechanistic model of antigen encounter by primary antibodies. While native germline antibodies exhibit substantial mobility in the antigen-combining sites, their antigen-bound states exhibit relatively rigid conformations, even in the absence of the antigen suggesting preservation of the structural state after antigen release. It is proposed that acquired rigidity by a germline antibody upon antigen binding may be the first step in affinity maturation in favor of that antigen.


Assuntos
Diversidade de Anticorpos , Complexo Antígeno-Anticorpo/química , Antígenos/administração & dosagem , Animais , Complexo Antígeno-Anticorpo/genética , Antígenos/química , Antígenos/genética , Sítios de Ligação de Anticorpos/genética , Regiões Determinantes de Complementaridade/química , Regiões Determinantes de Complementaridade/genética , Biologia Computacional , Camundongos , Simulação de Dinâmica Molecular , Conformação Proteica , Hipermutação Somática de Imunoglobulina
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