@incollection{DasZografakisOeljeklausetal.2023,
  author    = {Das, Hirakjyoti and Zografakis, Alexandros and Oeljeklaus, Silke and Warscheid, Bettina},
  title     = {Analysis of Yeast Peroxisomes via Spatial Proteomics},
  series = {Peroxisomes},
  booktitle = {Peroxisomes},
  edition   = {accepted version},
  publisher = {Springer},
  doi       = {10.1007/978-1-0716-3048-8_2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-327532},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {13-31},
  year      = {2023},
  abstract  = {Peroxisomes are ubiquitous organelles with essential functions in numerous cellular processes such as lipid metabolism, detoxification of reactive oxygen species and signaling. Knowledge of the peroxisomal proteome including multi-localized proteins and, most importantly, changes of its composition induced by altering cellular conditions or impaired peroxisome biogenesis and function is of paramount importance for a holistic view on peroxisomes and their diverse functions in a cellular context. In this chapter, we provide a spatial proteomics protocol specifically tailored to the analysis of the peroxisomal proteome of baker's yeast that enables the definition of the peroxisomal proteome under distinct conditions and to monitor dynamic changes of the proteome including the relocation of individual proteins to a different cellular compartment. The protocol comprises subcellular fractionation by differential centrifugation followed by Nycodenz density gradient centrifugation of a crude peroxisomal fraction, quantitative mass spectrometric measurements of subcellular and density gradient fractions and advanced computational data analysis, resulting in the establishment of organellar maps on a global scale.},
  language  = {en}
}