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1.
iScience ; 27(5): 109573, 2024 May 17.
Artículo en Inglés | MEDLINE | ID: mdl-38660409

RESUMEN

We examined from a large exploratory study cohort of COVID-19 patients (N = 549) a validated panel of neutrophil extracellular traps (NETs) markers in different categories of disease severity. Neutrophil elastase (NE), myeloperoxidase (MPO), and circulating nuclear DNA (cir-nDNA) levels in plasma were seen to gradually and significantly (p < 0.0001) increase with the disease severity: mild (3.7, 48.9, and 15.8 ng/mL, respectively); moderate (9.8, 77.5, and 27.7 ng/mL, respectively); severe (11.7, 99.5, and 29.0 ng/mL, respectively); and critical (13.1, 110.2, and 46.0 ng/mL, respectively); and are also statistically different with healthy individuals (N = 140; p < 0.0001). All observations made in relation to the Delta variant-infected patients are in line with Omicron-infected patients. We unexpectedly observed significantly higher levels of NETs in asymptomatic individuals as compared to healthy subjects (p < 0.0001). Moreover, the balance of cir-nDNA and circulating mitochondrial DNA level was affected in COVID-19 infected patients attesting to mitochondrial dysfunction.

3.
Mol Vis ; 22: 1036-47, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-27582626

RESUMEN

PURPOSE: Retinoblastoma (Rb) is the most common primary intraocular cancer of childhood and one of the major causes of blindness in children. India has the highest number of patients with Rb in the world. Mutations in the RB1 gene are the primary cause of Rb, and heterogeneous mutations are distributed throughout the entire length of the gene. Therefore, genetic testing requires screening of the entire gene, which by conventional sequencing is time consuming and expensive. METHODS: In this study, we screened the RB1 gene in the DNA isolated from blood or saliva samples of 50 unrelated patients with Rb using the TruSight Cancer panel. Next-generation sequencing (NGS) was done on the Illumina MiSeq platform. Genetic variations were identified using the Strand NGS software and interpreted using the StrandOmics platform. RESULTS: We were able to detect germline pathogenic mutations in 66% (33/50) of the cases, 12 of which were novel. We were able to detect all types of mutations, including missense, nonsense, splice site, indel, and structural variants. When we considered bilateral Rb cases only, the mutation detection rate increased to 100% (22/22). In unilateral Rb cases, the mutation detection rate was 30% (6/20). CONCLUSIONS: Our study suggests that NGS-based approaches increase the sensitivity of mutation detection in the RB1 gene, making it fast and cost-effective compared to the conventional tests performed in a reflex-testing mode.


Asunto(s)
Secuenciación de Nucleótidos de Alto Rendimiento , Mutación , Neoplasias de la Retina/genética , Proteínas de Unión a Retinoblastoma/genética , Retinoblastoma/genética , Ubiquitina-Proteína Ligasas/genética , Adulto , Pueblo Asiatico/genética , Niño , Preescolar , Codón sin Sentido , Estudios de Cohortes , Análisis Mutacional de ADN , Exones/genética , Femenino , Genes de Retinoblastoma , Pruebas Genéticas/métodos , Mutación de Línea Germinal , Humanos , India , Lactante , Masculino , Persona de Mediana Edad , Reacción en Cadena de la Polimerasa , Adulto Joven
4.
J Hum Genet ; 61(6): 515-22, 2016 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-26911350

RESUMEN

Breast and/or ovarian cancer (BOC) are among the most frequently diagnosed forms of hereditary cancers and leading cause of death in India. This emphasizes on the need for a cost-effective method for early detection of these cancers. We sequenced 141 unrelated patients and families with BOC using the TruSight Cancer panel, which includes 13 genes strongly associated with risk of inherited BOC. Multi-gene sequencing was done on the Illumina MiSeq platform. Genetic variations were identified using the Strand NGS software and interpreted using the StrandOmics platform. We were able to detect pathogenic mutations in 51 (36.2%) cases, out of which 19 were novel mutations. When we considered familial breast cancer cases only, the detection rate increased to 52%. When cases were stratified based on age of diagnosis into three categories, ⩽40 years, 40-50 years and >50 years, the detection rates were higher in the first two categories (44.4% and 53.4%, respectively) as compared with the third category, in which it was 26.9%. Our study suggests that next-generation sequencing-based multi-gene panels increase the sensitivity of mutation detection and help in identifying patients with a high risk of developing cancer as compared with sequential tests of individual genes.


Asunto(s)
Neoplasias de la Mama/epidemiología , Neoplasias de la Mama/genética , Síndrome de Cáncer de Mama y Ovario Hereditario/epidemiología , Síndrome de Cáncer de Mama y Ovario Hereditario/genética , Mutación , Neoplasias Ováricas/epidemiología , Neoplasias Ováricas/genética , Adulto , Edad de Inicio , Anciano , Neoplasias de la Mama/diagnóstico , Variaciones en el Número de Copia de ADN , Femenino , Eliminación de Gen , Duplicación de Gen , Genes BRCA1 , Genes BRCA2 , Pruebas Genéticas/métodos , Síndrome de Cáncer de Mama y Ovario Hereditario/diagnóstico , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , India/epidemiología , Persona de Mediana Edad , Tasa de Mutación , Neoplasias Ováricas/diagnóstico , Prevalencia , Adulto Joven
5.
J Bacteriol ; 193(14): 3569-76, 2011 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-21602351

RESUMEN

Occasionally, ribosomes stall on mRNAs prior to the completion of the polypeptide chain. In Escherichia coli and other eubacteria, tmRNA-mediated trans-translation is a major mechanism that recycles the stalled ribosomes. The tmRNA possesses a tRNA-like domain and a short mRNA region encoding a short peptide (ANDENYALAA in E. coli) followed by a termination codon. The first amino acid (Ala) of this peptide encoded by the resume codon (GCN) is highly conserved in tmRNAs in different species. However, reasons for the high evolutionary conservation of the resume codon identity have remained unclear. In this study, we show that changing the E. coli tmRNA resume codon to other efficiently translatable codons retains efficient functioning of the tmRNA. However, when the resume codon was replaced with the low-usage codons, its function was adversely affected. Interestingly, expression of tRNAs decoding the low-usage codon from plasmid-borne gene copies restored efficient utilization of tmRNA. We discuss why in E. coli, the GCA (Ala) is one of the best codons and why all codons in the short mRNA of the tmRNA are decoded by the abundant tRNAs.


Asunto(s)
Alanina/genética , Escherichia coli/genética , Evolución Molecular , ARN Bacteriano/genética , Alanina/metabolismo , Secuencia de Bases , Codón , Secuencia Conservada , Escherichia coli/química , Escherichia coli/metabolismo , Datos de Secuencia Molecular , Conformación de Ácido Nucleico , ARN Bacteriano/química , ARN Bacteriano/metabolismo
6.
Nucleic Acids Res ; 39(1): 202-12, 2011 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-20798174

RESUMEN

The accuracy of the initiator tRNA (tRNA(fMet)) selection in the ribosomal P-site is central to the fidelity of protein synthesis. A highly conserved occurrence of three consecutive G-C base pairs in the anticodon stem of tRNA(fMet) contributes to its preferential selection in the P-site. In a genetic screen, using a plasmid borne copy of an inactive tRNA(fMet) mutant wherein the three G-C base pairs were changed, we isolated Escherichia coli strains that allow efficient initiation with the tRNA(fMet) mutant. Here, extensive characterization of two such strains revealed novel mutations in the metZWV promoter severely compromising tRNA(fMet) levels. Low cellular abundance of the chromosomally encoded tRNA(fMet) allows efficient initiation with the tRNA(fMet) mutant and an elongator tRNA(Gln), revealing that a high abundance of the cellular tRNA(fMet) is crucial for the fidelity of initiator tRNA selection on the ribosomal P-site in E. coli. We discuss possible implications of the changes in the cellular tRNA(fMet) abundance in proteome remodeling.


Asunto(s)
Escherichia coli/genética , Iniciación de la Cadena Peptídica Traduccional , ARN de Transferencia de Metionina/genética , Ribosomas/metabolismo , Anticodón/química , Emparejamiento Base , Mapeo Cromosómico , Frío , Escherichia coli/crecimiento & desarrollo , Escherichia coli/metabolismo , Sitios Genéticos , Mutación , ARN de Transferencia de Glutamina/metabolismo , ARN de Transferencia de Metionina/química , ARN de Transferencia de Metionina/metabolismo , Ribosomas/química , Supresión Genética
7.
EMBO J ; 27(6): 840-51, 2008 Mar 19.
Artículo en Inglés | MEDLINE | ID: mdl-18288206

RESUMEN

Translation initiation from the ribosomal P-site is the specialty of the initiator tRNAs (tRNA(fMet)). Presence of the three consecutive G-C base pairs (G29-C41, G30-C40 and G31-C39) in their anticodon stems, a highly conserved feature of the initiator tRNAs across the three kingdoms of life, has been implicated in their preferential binding to the P-site. How this feature is exploited by ribosomes has remained unclear. Using a genetic screen, we have isolated an Escherichia coli strain, carrying a G122D mutation in folD, which allows initiation with the tRNA(fMet) containing mutations in one, two or all the three G-C base pairs. The strain shows a severe deficiency of methionine and S-adenosylmethionine, and lacks nucleoside methylations in rRNA. Targeted mutations in the methyltransferase genes have revealed a connection between the rRNA modifications and the fundamental process of the initiator tRNA selection by the ribosome.


Asunto(s)
Proteínas de Escherichia coli/genética , Iniciación de la Cadena Peptídica Traduccional/genética , ARN Ribosómico 16S/metabolismo , Ribosomas/metabolismo , 5,10-Metilenotetrahidrofolato Reductasa (FADH2)/biosíntesis , 5,10-Metilenotetrahidrofolato Reductasa (FADH2)/genética , Sustitución de Aminoácidos/genética , Secuencia de Bases , Proteínas de Escherichia coli/biosíntesis , Metilación , Datos de Secuencia Molecular , Mutación , ARN Bacteriano/metabolismo , ARN Ribosómico 16S/fisiología , ARN de Transferencia de Metionina/genética
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