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1.
Nature ; 509(7502): 575-81, 2014 May 29.
Artículo en Inglés | MEDLINE | ID: mdl-24870542

RESUMEN

The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease.


Asunto(s)
Proteoma/metabolismo , Proteómica , Adulto , Células Cultivadas , Bases de Datos de Proteínas , Feto/metabolismo , Análisis de Fourier , Perfilación de la Expresión Génica , Genoma Humano/genética , Células Madre Hematopoyéticas/citología , Células Madre Hematopoyéticas/metabolismo , Humanos , Internet , Espectrometría de Masas , Anotación de Secuencia Molecular , Sistemas de Lectura Abierta/genética , Especificidad de Órganos , Biosíntesis de Proteínas , Isoformas de Proteínas/análisis , Isoformas de Proteínas/genética , Isoformas de Proteínas/metabolismo , Señales de Clasificación de Proteína , Transporte de Proteínas , Proteoma/análisis , Proteoma/química , Proteoma/genética , Seudogenes/genética , ARN no Traducido/genética , Reproducibilidad de los Resultados , Regiones no Traducidas/genética
2.
OMICS ; 21(7): 390-403, 2017 07.
Artículo en Inglés | MEDLINE | ID: mdl-28692419

RESUMEN

Chronic exposure to cigarette smoke markedly increases the risk for lung cancer. Regulation of gene expression at the post-transcriptional level by miRNAs influences a variety of cancer-related interactomes. Yet, relatively little is known on the effects of long-term cigarette smoke exposure on miRNA expression and gene regulation. NCI-H292 (H292) is a cell line sensitive to cigarette smoke with mucoepidermoid characteristics in culture. We report, in this study, original observations on long-term (12 months) cigarette smoke effects in the H292 cell line, using microarray-based miRNA expression profiling, and stable isotopic labeling with amino acids in cell culture-based quantitative proteomic analysis. We identified 112 upregulated and 147 downregulated miRNAs (by twofold) in cigarette smoke-treated H292 cells. The liquid chromatography-tandem mass spectrometry analysis identified 3,959 proteins, of which, 303 proteins were overexpressed and 112 proteins downregulated (by twofold). We observed 39 miRNA target pairs (proven targets) that were differentially expressed in response to chronic cigarette smoke exposure. Gene ontology analysis of the target proteins revealed enrichment of proteins in biological processes driving metabolism, cell communication, and nucleic acid metabolism. Pathway analysis revealed the enrichment of phagosome maturation, antigen presentation pathway, nuclear factor erythroid 2-related factor 2-mediated oxidative stress response, and cholesterol biosynthesis pathways in cigarette smoke-exposed cells. In conclusion, this report makes an important contribution to knowledge on molecular changes in a lung cell line in response to long term cigarette smoke exposure. The findings might inform future strategies for drug target, biomarker and diagnostics innovation in lung cancer, and clinical oncology. These observations also call for further research on the extent to which continuing or stopping cigarette smoking in patients diagnosed with lung cancer translates into molecular and clinical outcomes.


Asunto(s)
Fumar Cigarrillos/efectos adversos , Neoplasias Pulmonares/genética , MicroARNs/metabolismo , Biomarcadores/análisis , Carcinoma de Pulmón de Células no Pequeñas , Línea Celular Tumoral , Regulación de la Expresión Génica/efectos de los fármacos , Regulación de la Expresión Génica/genética , Humanos , Neoplasias Pulmonares/diagnóstico
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