@phdthesis{Sin2016,
  author    = {Sin, Celine},
  title     = {Post-transcriptional control of gene expression},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-102469},
  school      = {Universit{\"a}t Potsdam},
  pages     = {xxv, 238},
  year      = {2016},
  abstract  = {Gene expression describes the process of making functional gene products (e.g. proteins or special RNAs) from instructions encoded in the genetic information (e.g. DNA). This process is heavily regulated, allowing cells to produce the appropriate gene products necessary for cell survival, adapting production as necessary for different cell environments. Gene expression is subject to regulation at several levels, including transcription, mRNA degradation, translation and protein degradation. When intact, this system maintains cell homeostasis, keeping the cell alive and adaptable to different environments. Malfunction in the system can result in disease states and cell death. In this dissertation, we explore several aspects of gene expression control by analyzing data from biological experiments. Most of the work following uses a common mathematical model framework based on Markov chain models to test hypotheses, predict system dynamics or elucidate network topology. Our work lies in the intersection between mathematics and biology and showcases the power of statistical data analysis and math modeling for validation and discovery of biological phenomena.},
  language  = {en}
}
@article{BartholomaeusFedyuninFeistetal.2016,
  author    = {Bartholom{\"a}us, Alexander and Fedyunin, Ivan and Feist, Peter and Sin, Celine and Zhang, Gong and Valleriani, Angelo and Ignatova, Zoya},
  title     = {Bacteria differently regulate mRNA abundance to specifically respond to various stresses},
  series = {Geology},
  volume    = {374},
  journal   = {Geology},
  publisher = {Royal Society},
  address   = {London},
  issn      = {1364-503X},
  doi       = {10.1098/rsta.2015.0069},
  pages     = {16},
  year      = {2016},
  abstract  = {Environmental stress is detrimental to cell viability and requires an adequate reprogramming of cellular activities to maximize cell survival. We present a global analysis of the response of Escherichia coli to acute heat and osmotic stress. We combine deep sequencing of total mRNA and ribosome-protected fragments to provide a genome-wide map of the stress response at transcriptional and translational levels. For each type of stress, we observe a unique subset of genes that shape the stress-specific response. Upon temperature upshift, mRNAs with reduced folding stability up-and downstream of the start codon, and thus with more accessible initiation regions, are translationally favoured. Conversely, osmotic upshift causes a global reduction of highly translated transcripts with high copy numbers, allowing reallocation of translation resources to not degraded and newly synthesized mRNAs.},
  language  = {en}
}