@article{BerryRosaHowardetal.2017,
  author    = {Berry, Scott and Rosa, Stefanie and Howard, Martin and Buhler, Marc and Dean, Caroline},
  title     = {Disruption of an RNA-binding hinge region abolishes LHP1-mediated epigenetic repression},
  series = {Genes \& Development},
  volume    = {31},
  journal   = {Genes \& Development},
  publisher = {Cold Spring Harbor Laboratory Press},
  address   = {Cold Spring Harbor, NY},
  issn      = {0890-9369},
  doi       = {10.1101/gad.305227.117},
  pages     = {2115 -- 2120},
  year      = {2017},
  abstract  = {Epigenetic maintenance of gene repression is essential for development. Polycomb complexes are central to this memory, but many aspects of the underlying mechanism remain unclear. LIKE HETEROCHROMATIN PROTEIN 1 (LHP1) binds Polycomb-deposited H3K27me3 and is required for repression of many Polycomb target genes in Arabidopsis. Here we show that LHP1 binds RNA in vitro through the intrinsically disordered hinge region. By independently perturbing the RNA-binding hinge region and H3K27me3 (trimethylation of histone H3 at Lys27) recognition, we found that both facilitate LHP1 localization and H3K27me3 maintenance. Disruption of the RNAbinding hinge region also prevented formation of subnuclear foci, structures potentially important for epigenetic repression.},
  language  = {en}
}
@misc{RajasundaramSelbig2016,
  author    = {Rajasundaram, Dhivyaa and Selbig, Joachim},
  title     = {More effort — more results},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {923},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-44263},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-442639},
  pages     = {57 -- 61},
  year      = {2016},
  abstract  = {The development of 'omics' technologies has progressed to address complex biological questions that underlie various plant functions thereby producing copious amounts of data. The need to assimilate large amounts of data into biologically meaningful interpretations has necessitated the development of statistical methods to integrate multidimensional information. Throughout this review, we provide examples of recent outcomes of 'omics' data integration together with an overview of available statistical methods and tools.},
  language  = {en}
}