@article{PietschHesseZhuangetal.2003,
  author    = {Pietsch, Ullrich and Hesse, A. and Zhuang, Y. and Hol{\´y}, Vaclav and Stangl, Jochen and Zerlauth, S. and Schaffler, F. and Bauer, G{\"u}nther},
  title     = {X-ray grazing-incidence study of inhomogeneous strain relaxation in Si/SiGe wires},
  issn      = {0168-583X},
  year      = {2003},
  language  = {en}
}
@article{OskinovaBikMasHesseetal.2019,
  author    = {Oskinova, Lida and Bik, A. and Mas-Hesse, J. M. and Hayes, M. and Adamo, A. and {\"O}stlin, G{\"o}ran and F{\"u}rst, F. and Ot{\´i}-Floranes, H.},
  title     = {ULX contribution to stellar feedback},
  series = {Astronomy and astrophysics : an international weekly journal},
  volume    = {627},
  journal   = {Astronomy and astrophysics : an international weekly journal},
  publisher = {EDP Sciences},
  address   = {Les Ulis},
  issn      = {1432-0746},
  doi       = {10.1051/0004-6361/201935414},
  pages     = {7},
  year      = {2019},
  abstract  = {Context. X-ray radiation from accreting compact objects is an important part of stellar feedback. The metal-poor galaxy ESO 338-4 has experienced vigorous starburst during the last <40 Myr and contains some of the most massive super star clusters in the nearby Universe. Given its starburst age and its star-formation rate, ESO 338-4 is one of the most efficient nearby manufactures of neutron stars and black holes, hence providing an excellent laboratory for feedback studies. Aims. We aim to use X-ray observations with the largest modern X-ray telescopes XMM-Newton and Chandra to unveil the most luminous accreting neutron stars and black holes in ESO 338-4. Methods. We compared X-ray images and spectra with integral field spectroscopic observations in the optical to constrain the nature of strong X-ray emitters. Results. X-ray observations uncover three ultraluminous X-ray sources (ULXs) in ESO 338-4. The brightest among them, ESO 338 X-1, has X-ray luminosity in excess of 10(40) erg s(-1). We speculate that ESO 338-4 X-1 is powered by accretion on an intermediate-mass (greater than or similar to 300 M-circle dot)black hole. We show that X-ray radiation from ULXs and hot superbubbles strongly contributes to He II ionization and general stellar feedback in this template starburst galaxy.},
  language  = {en}
}
@article{DelperoArendsSprechertetal.2022,
  author    = {Delpero, Manuel and Arends, Danny and Sprechert, Maximilian and Krause, Florian and Kluth, Oliver and Sch{\"u}rmann, Annette and Brockmann, Gudrun A. and Hesse, Deike},
  title     = {Identification of four novel QTL linked to the metabolic syndrome in the Berlin Fat Mouse},
  series = {International journal of obesity / North American Association for the Study of Obesity},
  volume    = {46},
  journal   = {International journal of obesity / North American Association for the Study of Obesity},
  number    = {2},
  publisher = {Nature Publ. Group},
  address   = {Avenel, NJ},
  issn      = {0307-0565},
  doi       = {10.1038/s41366-021-00991-3},
  pages     = {307 -- 315},
  year      = {2022},
  abstract  = {Background The Berlin Fat Mouse Inbred line (BFMI) is a model for obesity and the metabolic syndrome. This study aimed to identify genetic variants associated with impaired glucose metabolism using the obese lines BFMI861-S1 and BFMI861-S2, which are genetically closely related, but differ in several traits. BFMI861-S1 is insulin resistant and stores ectopic fat in the liver, whereas BFMI861-S2 is insulin sensitive. Methods In generation 10, 397 males of an advanced intercross line (AIL) BFMI861-S1 x BFMI861-S2 were challenged with a high-fat, high-carbohydrate diet and phenotyped over 25 weeks. QTL-analysis was performed after selective genotyping of 200 mice using the GigaMUGA Genotyping Array. Additional 197 males were genotyped for 7 top SNPs in QTL regions. For the prioritization of positional candidate genes whole genome sequencing and gene expression data of the parental lines were used. Results Overlapping QTL for gonadal adipose tissue weight and blood glucose concentration were detected on chromosome (Chr) 3 (95.8-100.1 Mb), and for gonadal adipose tissue weight, liver weight, and blood glucose concentration on Chr 17 (9.5-26.1 Mb). Causal modeling suggested for Chr 3-QTL direct effects on adipose tissue weight, but indirect effects on blood glucose concentration. Direct effects on adipose tissue weight, liver weight, and blood glucose concentration were suggested for Chr 17-QTL. Prioritized positional candidate genes for the identified QTL were Notch2 and Fmo5 (Chr 3) and Plg and Acat2 (Chr 17). Two additional QTL were detected for gonadal adipose tissue weight on Chr 15 (67.9-74.6 Mb) and for body weight on Chr 16 (3.9-21.4 Mb). Conclusions QTL mapping together with a detailed prioritization approach allowed us to identify candidate genes associated with traits of the metabolic syndrome. In addition, we provided evidence for direct and indirect genetic effects on blood glucose concentration in the insulin-resistant mouse line BFMI861-S1.},
  language  = {en}
}