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1.
Mol Genet Metab ; 116(3): 119-24, 2015 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-26212339

RESUMEN

A large part of the human genome is transcribed into various forms of RNA, and the global gene expression profile (GEP) has been studied for several years using technology such as RNA-microarrays. In this study, we evaluate whether neonatal dried blood spot (DBS) samples stored in the Danish Neonatal Screening Biobank (DNSB) can be used for GEP. This paper is divided into sub-studies examining the effects of: 1) different whole transcriptome amplification kits (WTA); 2) years of storage and storage in room temperature (RT) versus freezers (-20°C) on DNSB DBS samples; 3) effects of RT storage vs freezer storage on DBS samples from the USA and DNSB, and 4) using smaller disc sizes, thereby decreasing DBS use. We present evidence that reliable and reproducible GEPs can be obtained using neonatal DBS samples. The main source of variation is the storage condition. When samples are stored at -20°C, the dynamic range is increased, and Pearson correlations are higher. Differential analysis reveals no statistically significant differences between samples collected a decade apart and stored at -20°C. However, samples stored at RT show differential expression for a third of the gene-specific probes. Our data also suggests that using alternate WTA kits significantly changes the GEP. Finally, the amount of input material, i.e., the size and number of DBS discs used, can be reduced to preserve this valuable and limited material. We conclude that DNSB DBS samples provide a reproducible resource for GEP. Results are improved if the cards are stored at -20°C. Furthermore, it is important to use a single type of kit for analysis because using alternate kits introduces differential expression.


Asunto(s)
Bancos de Muestras Biológicas , Conservación de la Sangre , Pruebas con Sangre Seca , Perfilación de la Expresión Génica , Estabilidad del ARN , Recolección de Muestras de Sangre , Criopreservación , Dinamarca , Genoma Humano , Humanos , Recién Nacido , Análisis por Micromatrices , Tamizaje Neonatal , Reproducibilidad de los Resultados , Temperatura
2.
Int J Mol Sci ; 13(8): 9599-9608, 2012.
Artículo en Inglés | MEDLINE | ID: mdl-22949818

RESUMEN

Screening newborns for treatable serious conditions is mandated in all US states and many other countries. After screening, Guthrie cards with residual blood (whole spots or portions of spots) are typically stored at ambient temperature in many facilities. The potential of archived dried blood spots (DBS) for at-birth molecular studies in epidemiological and clinical research is substantial. However, it is also challenging as analytes from DBS may be degraded due to preparation and storage conditions. We previously reported an improved assay for obtaining global RNA gene expression from blood spots. Here, we evaluated sex-specific gene expression and its preservation in DBS using oligonucleotide microarray technology. We found X inactivation-specific transcript (XIST), lysine-specific demethylase 5D (KDM5D) (also known as selected cDNA on Y, homolog of mouse (SMCY)), uncharacterized LOC729444 (LOC729444), and testis-specific transcript, Y-linked 21 (TTTY21) to be differentially-expressed by sex of the newborn. Our finding that trait-specific RNA gene expression is preserved in unfrozen DBS, demonstrates the technical feasibility of performing molecular genetic profiling using such samples. With millions of DBS potentially available for research, we see new opportunities in using newborn molecular gene expression to better understand molecular pathogenesis of perinatal diseases.


Asunto(s)
Biomarcadores/análisis , Recolección de Muestras de Sangre , Parálisis Cerebral/genética , Perfilación de la Expresión Génica , Tamizaje Neonatal , Adolescente , Animales , Estudios de Casos y Controles , Parálisis Cerebral/sangre , Parálisis Cerebral/diagnóstico , Niño , Preescolar , Femenino , Histona Demetilasas/genética , Humanos , Recién Nacido , Masculino , Ratones , Antígenos de Histocompatibilidad Menor , Análisis de Secuencia por Matrices de Oligonucleótidos , ARN Largo no Codificante/genética , Reacción en Cadena en Tiempo Real de la Polimerasa
3.
BMC Proc ; 1 Suppl 1: S57, 2007.
Artículo en Inglés | MEDLINE | ID: mdl-18466557

RESUMEN

Modern genetic epidemiology faces the challenge of dealing with hundreds of thousands of genetic markers. The selection of a small initial subset of interesting markers for further investigation can greatly facilitate genetic studies. In this contribution we suggest the use of a logistic regression tree algorithm known as logistic tree with unbiased selection. Using the simulated data provided for Genetic Analysis Workshop 15, we show how this algorithm, with incorporation of multifactor dimensionality reduction method, can reduce an initial large pool of markers to a small set that includes the interesting markers with high probability.

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