Concepción de un plan de negocios para la creación de una agencia de representación de nuevos músicos: modelo de aplicación basado en el género pop- rock

Al realizar un plan de negocio a partir de la idea de creación de una agencia de representación de artistas musicales, se analizaron los distintos factores que intervienen en el mismo, para de esta manera evaluar si la idea de negocio es factible o no y así mismo aplicar los conocimiento adquiridos en la maestría al emplearlos en un caso aplicativo que es el de IOSSA, un músico italiano con gran potencial. En el capítulo II, se realizó un análisis general del mercado en el cuál se determinó la oferta y la demanda de la música grabada y en streaming, para así poder determinar el tipo de estrategias a realizar. En el capítulo III, se realizó un estudio de la competencia y de acuerdo al análisis, realizó también un plan de marketing con las estrategias a realizar, seguido por una descripción de la estructura organizacional de la Agencia de Representación. Adicionalmente, se realizó un estudio de factibilidad económica y financiera para medir la factibilidad de la idea de negocio. Por último se realizó un caso aplicativo en el cuál se muestra cómo trabajará la Agencia de representación de artistas musicales. Líneas de investigación y desarrollo futuras: La información que se ha considerado necesaria presentar va desde la situación general del mercado, para luego realizar un estudio de la competencia y finalmente realizar un análisis de factibilidad del plan de negocios internacional. Así el proyecto pueda ser entendido, aceptado y también podría ser útil para solicitar créditos o buscar inversores o socios si el caso lo amerite.Facultad de Ciencias Económica

Array-based gene expression (aGE) experiment.

<p>(A) Schematic representation of the two mRNA linear amplification protocols. The coloured bar represents the mRNA with the 3′ polyA tail indicated by the stretch of A’s. The arrows represent the amplified cDNA products obtained for the regular procedure and the modified procedure, with the length of the arrows indicating the length of the synthesized cDNA’s. (B) MA-plot of the aGE data. The light grey dots represent all aCGH selected probes. The three coloured regions are expected to contain probes targeting transcripts at the 3′ side (blue), probes targeting the middle of the transcripts (red) and probes targeting the 5′side as well as probes with no target transcripts (green). (C) Density plot where the relative position of the three probe populations on the isotigs is demonstrated. The colours of the lines correspond to the colours used in panels A and B. The black line represents a random selection of probes that covers, as expected, the isotigs evenly over the entire length.</p

<i>C. riparius</i> transcriptome sequencing and assembly statistics.

<p><i>C. riparius</i> transcriptome sequencing and assembly statistics.</p

Gene Ontology (GO) terms obtained for <i>C. riparius</i> transcripts.

<p>The data represents the distribution of the annotated isotigs (black) and the annotated singletons (light grey) over the various level-2 GO terms. Each bar represent the number of annotated transcripts associated with the specified level-2 GO term as a percentage of the total number of annotated transcripts belonging to the higher-ranked GO category, i.e. cellular component (isotigs n = 8,380; singletons n = 9,277), molecular function (isotigs n = 10,663; singletons n = 11,359) and biological process (isotigs n = 6,249; singletons n = 7,343).</p

Taxonomic distribution of the best blastx hits matching <i>C. riparius</i> transcripts.

<p>Distribution of the best blastx hits that were matched to the isotigs (black) and the singletons (light grey) according to their taxonomic origin. (A) All transcripts (isotigs n = 16,824; singletons n = 24,129) that were matched to a BLASTX hit. (B) Transcripts (isotigs n = 16,537; singletons n = 4,7539) that were matched to a BLASTX hit and that are targeted by the final aGE microarray.</p

Strategy to obtain non-model organism transcriptomics resources.

<p>NGS: Next-generation sequencing; ESTs: Expressed Sequence Tags; aCGH: array-based Comparative Genomic Hybridization; GE: Gene Expression; GO: Gene Ontology; EC: Enzyme Commission numbers. * adapted from <a href="http://extension.missouri.edu/explorepdf/agguides/pests/g07402.pdf" target="_blank">http://extension.missouri.edu/explorepdf/agguides/pests/g07402.pdf</a>.</p

Additional file 13: of Transcriptome dynamics in early zebrafish embryogenesis determined by high-resolution time course analysis of 180 successive, individual zebrafish embryos

First two principal components of the intensity matrix of the expressed Ensembl genes. The variance explained by the components is indicated between brackets as percentages. Each embryo is colored by spawn as indicated. (PDF 26 kb

Array-based comparative genomic hybridization (aCGH) experiment.

<p>(A) Box- and-whisker plot summarizing the obtained log₂ signal intensity distributions for the four indicated probes collections, with the light grey boxes representing the <i>C. riparius</i> aCGH signal and the dark grey the aCGH <i>A. gambiae</i> signal. (B) MA-plot of the aCGH data. The dots with the different shades of grey represent the entire probe-library (with a GC-content below 50%). The three defined signal-intensity parameters are indicated by the dashed blue line and the captions I, II, III. The three categories containing the selected probes are indicated by different shades of grey and the letters A, B and C. The red dots are the negative control probes and the green dots the positive control (<i>A. gambiae</i> EST) probes.</p

<i>C. riparius</i> transcriptome annotation summery.

<p><i>C. riparius</i> transcriptome annotation summery.</p

Gene Expression Patterns and Life Cycle Responses of Toxicant-Exposed Chironomids

Cellular stress responses are frequently presumed to be more sensitive than traditional ecotoxicological life cycle end points such as survival and growth. Yet, the focus to reduce test duration and to generate more sensitive end points has caused transcriptomics studies to be performed at low doses during short exposures, separately and independently from traditional ecotoxicity tests, making comparisons with life cycle end points indirect. Therefore we aimed to directly compare the effects on growth, survival, and gene expression of the nonbiting midge <i>Chironomus riparius</i>. To this purpose, we simultaneously analyzed life cycle and transcriptomics responses of chironomid larvae exposed to four model toxicants. We observed that already at the lowest test concentrations many transcripts were significantly differentially expressed, while the life cycle end points of <i>C. riparius</i> were hardly affected. Analysis of the differentially expressed transcripts showed that at the lowest test concentrations substantial and biologically relevant cellular stress was induced and that many transcripts responded already maximally at these lowest test concentrations. The direct comparison between molecular end life cycle responses after fourteen days of exposure revealed that gene expression is more sensitive to toxicant exposure than life cycle end points, underlining the potential of transcriptomics for ecotoxicity testing and environmental risk assessment