RESUMEN
DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify â¼2.9 million DHSs that encompass virtually all known experimentally validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. We connect â¼580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is organized with dozens to hundreds of co-activated elements, and the transcellular DNase I sensitivity pattern at a given region can predict cell-type-specific functional behaviours. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation.
Asunto(s)
Cromatina/genética , Cromatina/metabolismo , ADN/genética , Enciclopedias como Asunto , Genoma Humano/genética , Anotación de Secuencia Molecular , Secuencias Reguladoras de Ácidos Nucleicos/genética , Huella de ADN , Metilación de ADN , Proteínas de Unión al ADN/metabolismo , Desoxirribonucleasa I/metabolismo , Evolución Molecular , Genómica , Humanos , Tasa de Mutación , Regiones Promotoras Genéticas/genética , Factores de Transcripción/metabolismo , Sitio de Iniciación de la Transcripción , Transcripción GenéticaRESUMEN
BACKGROUND: Emergency Medical Services (EMS) data may provide insight into opioid overdose incidence, clinical characteristics, and medical response. This analysis describes patient characteristics, clinical features, and EMS response to opioid overdoses, comparing heroin and pharmaceutical opioid (PO) overdoses, using a structured opioid overdose case criteria definition. METHODS: A case series study was conducted. EMS medical staff screened cases for possible overdoses and study staff categorized the likelihood of opioid overdose. Medical form data were abstracted. Patient characteristics, clinical presentation, and medical response to heroin and PO-involved overdoses were compared with bi-variate test statistics. RESULTS: We identified 229 definite or probable opioid overdose cases over six months: heroin in 98 (43%) cases (10 also involved PO), PO without heroin in 85 (37%) cases, and 46 (20%) that could not be categorized and were excluded from analyses. Heroin overdose patients were younger than PO (median age 33 v 41 (p<0.05)), more often male (80% v 61% (p=<0.01)), intubated less (8% v 22%, p<0.01) and more likely to be administered naloxone (72% v 51%, p<0.01). No significant differences were found between heroin and PO overdoses for initial respiratory rate, Glasgow Coma Scale score, or co-ingestants, but heroin users were more likely to have miotic pupils (p<0.01). CONCLUSIONS: While heroin and PO events presented similarly, heroin-involved cases were more likely to receive naloxone and less likely to be intubated. Standardized case definitions and data documentation could aid opioid overdose surveillance as well as provide data for measuring the impact of professional and lay interventions.