@article{JargoschKroegerGralinskaetal.2016,
  author    = {Jargosch, M. and Kroeger, S. and Gralinska, E. and Klotz, Ulrike and Fang, Z. and Chen, W. and Leser, U. and Selbig, Joachim and Groth, Detlef and Baumgrass, Ria},
  title     = {Data integration for identification of important transcription factors of STAT6-mediated cell fate decisions},
  series = {Genetics and molecular research},
  volume    = {15},
  journal   = {Genetics and molecular research},
  publisher = {FUNPEC},
  address   = {Ribeirao Preto},
  issn      = {1676-5680},
  doi       = {10.4238/gmr.15028493},
  pages     = {17},
  year      = {2016},
  abstract  = {Data integration has become a useful strategy for uncovering new insights into complex biological networks. We studied whether this approach can help to delineate the signal transducer and activator of transcription 6 (STAT6)-mediated transcriptional network driving T helper (Th) 2 cell fate decisions. To this end, we performed an integrative analysis of publicly available RNA-seq data of Stat6-knockout mouse studies together with STAT6 ChIP-seq data and our own gene expression time series data during Th2 cell differentiation. We focused on transcription factors (TFs), cytokines, and cytokine receptors and delineated 59 positively and 41 negatively STAT6-regulated genes, which were used to construct a transcriptional network around STAT6. The network illustrates that important and well-known TFs for Th2 cell differentiation are positively regulated by STAT6 and act either as activators for Th2 cells (e.g., Gata3, Atf3, Satb1, Nfil3, Maf, and Pparg) or as suppressors for other Th cell subpopulations such as Th1 (e.g., Ar), Th17 (e.g., Etv6), or iTreg (e.g., Stat3 and Hifla) cells. Moreover, our approach reveals 11 TFs (e.g., Atf5, Creb3l2, and Asb2) with unknown functions in Th cell differentiation. This fact together with the observed enrichment of asthma risk genes among those regulated by STAT6 underlines the potential value of the data integration strategy used here. Thus, our results clearly support the opinion that data integration is a useful tool to delineate complex physiological processes.},
  language  = {en}
}
@misc{HermanussenIpsenMummetal.2016,
  author    = {Hermanussen, Michael and Ipsen, Josefin and Mumm, Rebekka and Assmann, Christian and Quitmann, Julia and Gomula, Aleksandra and Lehmann, Andreas and Jasch, Isabelle and Tassenaar, Vincent and Bogin, Barry and Satake, Takashi and Scheffler, Christiane and Nunez, Javier and Godina, Elena and Hardeland, Ruediger and Boldsen, Jesper L. and El-Shabrawi, Mortada and Elhusseini, Mona and Barbu, Carmen Gabriela and Pop, Ralucca and Soederhaell, Jani and Merker, Andrea and Swanson, James and Groth, Detlef},
  title     = {Stunted Growth. Proceedings of the 23rd Aschauer Soiree, Held at Aschauhof, Germany, November 7th 2015},
  series = {Pediatric Endocrinology Reviews},
  volume    = {13},
  journal   = {Pediatric Endocrinology Reviews},
  publisher = {Medical Media},
  address   = {Netanya},
  issn      = {1565-4753},
  pages     = {756 -- 767},
  year      = {2016},
  abstract  = {Twenty-four scientists met at Aschauhof, Altenhof, Germany, to discuss the associations between child growth and development, and nutrition, health, environment and psychology. Meta-analyses of body height, height variability and household inequality, in historic and modern growth studies published since 1794, highlighting the enormously flexible patterns of child and adolescent height and weight increments throughout history which do not only depend on genetics, prenatal development, nutrition, health, and economic circumstances, but reflect social interactions. A Quality of Life in Short Stature Youth Questionnaire was presented to cross-culturally assess health-related quality of life in children. Changes of child body proportions in recent history, the relation between height and longevity in historic Dutch samples and also measures of body height in skeletal remains belonged to the topics of this meeting. Bayesian approaches and Monte Carlo simulations offer new statistical tools for the study of human growth.},
  language  = {en}
}
@article{HermanussenAssmannStaubetal.2016,
  author    = {Hermanussen, Michael and Assmann, Christian and Staub, K. and Groth, Detlef},
  title     = {Monte Carlo simulation of body height in a spatial network},
  series = {European journal of clinical nutrition},
  volume    = {70},
  journal   = {European journal of clinical nutrition},
  publisher = {Nature Publ. Group},
  address   = {London},
  issn      = {0954-3007},
  doi       = {10.1038/ejcn.2016.45},
  pages     = {671 -- 678},
  year      = {2016},
  abstract  = {BACKGROUND/OBJECTIVES: Recent evidence suggests clustering of human body height. We want to assess the consequences of connectedness in a spatial network on height clustering in an artificial society. SUBJECTS/METHODS: We used an agent-based computer modelling technique (Monte Carlo simulation) and compared simulated height in a spatial network with characteristics of the observed geographic height distribution of three historic cohorts of Swiss military conscripts (conscripted in 1884-1891; 1908-1910; and 2004-2009). RESULTS: Conscript height shows several characteristic features: (1) height distributions are overdispersed. (2) Conscripts from districts with direct inter-district road connections tend to be similar in height. (3) Clusters of tall and clusters of short stature districts vary over time. Autocorrelations in height between late 19th and early 21st century districts are low. (4) Mean district height depends on the number of connecting roads and on the number of conscripts per district. Using Monte Carlo simulation, we were able to generate these natural characteristics in an artificial society. Already 5\% height information from directly connected districts is sufficient to simulate the characteristics of natural height distribution. Very similar observations in regular rectangular networks indicate that the characteristics of Swiss conscript height distributions do not so much result from the particular Swiss geography but rather appear to be general features of spatial networks. CONCLUSIONS: Spatial connectedness can affect height clustering in an artificial society, similar to that seen in natural cohorts of military conscripts, and strengthen the concept of connectedness being involved in the regulation of human height.},
  language  = {en}
}