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1.
Semin Cancer Biol ; 70: 71-84, 2021 05.
Artículo en Inglés | MEDLINE | ID: mdl-32479952

RESUMEN

The commensal microbiome of humans has co-evolved for thousands of years. The microbiome regulates human health and is also linked to several diseases, including cancer. The advances in next-generation sequencing have significantly contributed to our understanding of the microbiome and its association with cancer and cancer therapy. Recent studies have highlighted a close relationship of the microbiome to the pharmacological effect of chemotherapy and immunotherapy. The chemo-drugs usually interfere with the host immune system and reduces the microbiome diversity inside the body, which in turn leads to decreased efficacy of these drugs. The human microbiome, specifically the gut microbiome, increases the potency of chemo-drugs through metabolism, enzymatic degradation, ecological differences, and immunomodulation. Recent research exploits the involvement of microbiome to shape the efficacy and decrease the toxicity of these chemo-drugs. In this review, we have highlighted the recent development in understanding the relationship of the human microbiome with cancer and also emphasize on various roles of the microbiome in the modulation of cancer therapy. Additionally, we also summarize the ongoing research focussed on the improved efficacy of chemotherapy and immunotherapy using the host microbiome.


Asunto(s)
Antineoplásicos/administración & dosificación , Microbioma Gastrointestinal , Interacciones Microbiota-Huesped , Inmunoterapia/métodos , Neoplasias/tratamiento farmacológico , Prebióticos/administración & dosificación , Animales , Humanos , Inmunomodulación , Neoplasias/inmunología , Neoplasias/microbiología
2.
Virology ; 586: 12-22, 2023 09.
Artículo en Inglés | MEDLINE | ID: mdl-37473502

RESUMEN

Dengue viruses are human pathogens that are transmitted through mosquitoes. Apart from the typical symptoms associated with viral fevers, DENV infections are known to cause several neurological complications such as meningitis, encephalitis, intracranial haemorrhage, retinopathies along with the more severe, and sometimes fatal, vascular leakage and dengue shock syndrome. This study was designed to investigate, in detail, the predicted viral protein aggregation prone regions among all serotypes. Further, in order to understand the cross-talk between viral protein aggregation and aggregation of cellular proteins, cross-seeding experiments between the DENV NS1 (1-30), corresponding to the ß-roll domain and the diabetes hallmark protein, amylin, were performed. Various techniques such as fluorescence spectroscopy, circular dichroism, atomic force microscopy and immunoblotting have been employed for this. We observe that the DENV proteomes have many predicted APRs and the NS1 (1-30) of DENV1-3, 2K and capsid anchor of DENV2 and DENV4 are capable of forming amyloids, in vitro. Further, the DENV NS1 (1-30), aggregates are also able to cross-seed and enhance amylin aggregation and vice-versa. This knowledge may lead to an opportunity for designing suitable inhibitors of protein aggregation that may be beneficial for viral infections and comorbidities.


Asunto(s)
Virus del Dengue , Proteínas Virales , Virus del Dengue/química , Virus del Dengue/clasificación , Proteoma , Proteínas Virales/química , Proteínas Virales/metabolismo , Polipéptido Amiloide de los Islotes Pancreáticos/metabolismo , Agregado de Proteínas , Humanos , Dengue/metabolismo , Dengue/patología , Dengue/virología , Diabetes Mellitus Tipo 2/metabolismo , Diabetes Mellitus Tipo 2/patología
3.
Protein Sci ; 32(12): e4833, 2023 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-37937856

RESUMEN

Viral pathogenesis typically involves numerous molecular mechanisms. Protein aggregation is a relatively unknown characteristic of viruses, despite the fact that viral proteins have been shown to form terminally misfolded forms. Zika virus (ZIKV) is a neurotropic one with the potential to cause neurodegeneration. Its protein amyloid aggregation may link the neurodegenerative component to the pathogenicity associated with the viral infection. Therefore, we investigated protein aggregation in the ZIKV proteome as a putative pathogenic route and one of the alternate pathways. We discovered that it contains numerous anticipated aggregation-prone regions in this investigation. To validate our prediction, we used a combination of supporting experimental techniques routinely used for morphological characterization and study of amyloid aggregates. Several ZIKV proteins and peptides, including the full-length envelope protein, its domain III (EDIII) and fusion peptide, Pr N-terminal peptide, NS1 ß-roll peptide, membrane-embedded signal peptide 2K, and cytosolic region of NS4B protein, were shown to be highly aggregating in our study. Because our findings show that viral proteins can form amyloids in vitro, we need to do a thorough functional study of these anticipated APRs to understand better the role of amyloids in the pathophysiology of ZIKV infection.


Asunto(s)
Infección por el Virus Zika , Virus Zika , Humanos , Virus Zika/metabolismo , Agregado de Proteínas , Anticuerpos Antivirales , Proteínas del Envoltorio Viral/química , Péptidos/metabolismo , Proteínas Amiloidogénicas/metabolismo
4.
Methods Mol Biol ; 2423: 65-83, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-34978689

RESUMEN

Single-cell sequencing is a promising attempt to investigate the genomic, transcriptomic, and multiomic level of individual cell in the larger population of cells. The outward evolution of the technique from a manual method to the automation of single-cell sequencing is cogent. Lately, single-cell sequencing is widely used in various fields of science and has applications in neurobiology, immunity, cancer, microbiology, reproduction, and digestion. This chapter introduces the reader to the details of single-cell sequencing, currently used in several small-scale and commercial platforms. The advancement of single-cell sequencing in brain cancer sheds light on questions unanswered so far in the field of oncology.


Asunto(s)
Neoplasias Cerebelosas , Meduloblastoma , Genoma , Genómica , Humanos , Meduloblastoma/genética , Análisis de Secuencia de ADN/métodos
5.
J Biomol Struct Dyn ; 40(10): 4507-4515, 2022 07.
Artículo en Inglés | MEDLINE | ID: mdl-33306006

RESUMEN

The inherent ability of the cancer cells to resist chemotherapeutic agents is a major challenge in drug discovery. Chemotherapy is one of the most widely used treatment methods for cancer, but due to multidrug resistance (MDR) development in cancer cells, the healing procedure often fails. Various factors impart cancer resistance to cells; among them, P-glycoprotein (P-gp) overexpression is directly linked to MDR in cancer cells. P-gp leads to the efflux of drug molecules to the extracellular space. Several molecules have been reported to inhibit the P-gp activity. Among them, quercetin has revealed a great potential to modulate P-gp activity. However, the mechanistic understanding of quercetin induced modulation is not entirely elucidated. In the present work, we showed that quercetin binds in the interacting region between the transmembrane domain and nucleotide-binding domain out of the three plausible binding sites of P-gp and restrict the conformational change from inward- to outward-facing conformation of P-gp. Due to the absence of the inward-facing structure of human P-gp, we first modeled an inward-facing P-gp structure. Using molecular docking, the interacting residues of P-gp were identified, and the stability and interaction dynamics of the complex were studied using molecular dynamics simulation. Our work reveals the mechanistic understanding of quercetin induced modulation of P-gp and indicates its importance in cancer treatment.Communicated by Ramaswamy H. Sarma.


Asunto(s)
Neoplasias , Quercetina , Miembro 1 de la Subfamilia B de Casetes de Unión a ATP/química , Línea Celular Tumoral , Resistencia a Múltiples Medicamentos , Resistencia a Antineoplásicos , Humanos , Simulación del Acoplamiento Molecular , Nucleótidos/metabolismo , Quercetina/farmacología , Transducción de Señal
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