@article{DuWuertzAdolfietal.2019,
  author    = {Du, Kang and Wuertz, Sven and Adolfi, Mateus and Kneitz, Susanne and St{\"o}ck, Matthias and Oliveira, Marcos and N{\´o}brega, Rafael and Ormanns, Jenny and Kloas, Werner and Feron, Romain and Klopp, Christophe and Parrinello, Hugues and Journot, Laurent and He, Shunping and Postlethwait, John and Meyer, Axel and Guiguen, Yann and Schartl, Manfred},
  title     = {The genome of the arapaima (Arapaima gigas) provides insights into gigantism, fast growth and chromosomal sex determination system},
  series = {Scientific Reports},
  volume    = {9},
  journal   = {Scientific Reports},
  doi       = {10.1038/s41598-019-41457-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201333},
  pages     = {5293},
  year      = {2019},
  abstract  = {We have sequenced the genome of the largest freshwater fish species of the world, the arapaima. Analysis of gene family dynamics and signatures of positive selection identified genes involved in the specific adaptations and unique features of this iconic species, in particular it's large size and fast growth. Genome sequences from both sexes combined with RAD-tag analyses from other males and females led to the isolation of male-specific scaffolds and supports an XY sex determination system in arapaima. Whole transcriptome sequencing showed that the product of the gland-like secretory organ on the head surface of males and females may not only provide nutritional fluid for sex-unbiased parental care, but that the organ itself has a more specific function in males, which engage more in parental care.},
  language  = {en}
}
@article{LuBoswellBoswelletal.2019,
  author    = {Lu, Yuan and Boswell, Wiliam and Boswell, Mikki and Klotz, Barbara and Kneitz, Susanne and Regneri, Janine and Savage, Markita and Mendoza, Cristina and Postlethwait, John and Warren, Wesley C. and Schartl, Manfred and Walter, Ronald B.},
  title     = {Application of the Transcriptional Disease Signature (TDSs) to Screen Melanoma-Effective Compounds in a Small Fish Model},
  series = {Scientific Reports},
  volume    = {9},
  journal   = {Scientific Reports},
  doi       = {10.1038/s41598-018-36656-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-237322},
  year      = {2019},
  abstract  = {Cell culture and protein target-based compound screening strategies, though broadly utilized in selecting candidate compounds, often fail to eliminate candidate compounds with non-target effects and/or safety concerns until late in the drug developmental process. Phenotype screening using intact research animals is attractive because it can help identify small molecule candidate compounds that have a high probability of proceeding to clinical use. Most FDA approved, first-in-class small molecules were identified from phenotypic screening. However, phenotypic screening using rodent models is labor intensive, low-throughput, and very expensive. As a novel alternative for small molecule screening, we have been developing gene expression disease profiles, termed the Transcriptional Disease Signature (TDS), as readout of small molecule screens for therapeutic molecules. In this concept, compounds that can reverse, or otherwise affect known disease-associated gene expression patterns in whole animals may be rapidly identified for more detailed downstream direct testing of their efficacy and mode of action. To establish proof of concept for this screening strategy, we employed a transgenic strain of a small aquarium fish, medaka (Oryzias latipes), that overexpresses the malignant melanoma driver gene xmrk, a mutant egfr gene, that is driven by a pigment cell-specific mitf promoter. In this model, melanoma develops with 100\% penetrance. Using the transgenic medaka malignant melanoma model, we established a screening system that employs the NanoString nCounter platform to quantify gene expression within custom sets of TDS gene targets that we had previously shown to exhibit differential transcription among xmrk-transgenic and wild-type medaka. Compound-modulated gene expression was identified using an internet-accessible custom-built data processing pipeline. The effect of a given drug on the entire TDS profile was estimated by comparing compound-modulated genes in the TDS using an activation Z-score and Kolmogorov-Smirnov statistics. TDS gene probes were designed that target common signaling pathways that include proliferation, development, toxicity, immune function, metabolism and detoxification. These pathways may be utilized to evaluate candidate compounds for potential favorable, or unfavorable, effects on melanoma-associated gene expression. Here we present the logistics of using medaka to screen compounds, as well as, the development of a user-friendly NanoString data analysis pipeline to support feasibility of this novel TDS drug-screening strategy.},
  language  = {en}
}