@phdthesis{Romanov2019,
  author    = {Romanov, Natalie},
  title     = {Characterizing Variation of Protein Complexes and Functional Modules on a Temporal Scale and across Individuals},
  doi       = {10.25972/OPUS-16813},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168139},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {A fundamental question in current biology concerns the translational mechanisms leading from genetic variability to phenotypes. Technologies have evolved to the extent that they can efficiently and economically determine an individual's genomic composition, while at the same time big data on clinical profiles and diagnostics have substantially accumulated. Genome-wide association studies linking genomic loci to certain traits, however, remain limited in their capacity to explain the cellular mechanisms that underlie the given association. For most associations, gene expression has been blamed; yet given that transcript and protein abundance oftentimes do not correlate, that finding does not necessarily decrypt the underlying mechanism. Thus, the integration of further information is crucial to establish a model that could prove more accurate in predicting genotypic effects on the human organism. In this work we describe the so-called proteotype as a feature of the cell that could provide a substantial link between genotype and phenotype. Rather than looking at the proteome as a set of independent molecules, we demonstrate a consistent modular architecture of the proteome that is driven by molecular cooperativity. Functional modules, especially protein complexes, can be further interrogated for differences between individuals and tackled as imprints of genetic and environmental variability. We also show that subtle stoichiometric changes of protein modules could have broader effects on the cellular system, such as the transport of specific molecular cargos. The presented work also delineates to what extent temporal events and processes influence the stoichiometry of protein complexes and functional modules. The re-wiring of the glycolytic pathway for example is illustrated as a potential cause for an increased Warburg effect during the ageing of the human bone marrow. On top of analyzing protein abundances we also interrogate proteome dynamics in terms of stability and solubility transitions during the short temporal progression of the cell cycle. One of our main observations in the thesis encompass the delineation of protein complexes into respective sub-complexes according to distinct stability patterns during the cell cycle. This has never been demonstrated before, and is functionally relevant for our understanding of the dis- and assembly of large protein modules. The insights presented in this work imply that the proteome is more than the sum of its parts, and primarily driven by variability in entire protein ensembles and their cooperative nature. Analyzing protein complexes and functional modules as molecular reflections of genetic and environmental variations could indeed prove to be a stepping stone in closing the gap between genotype and phenotype and customizing clinical treatments in the future.},
  subject      = {Proteotype},
  language  = {en}
}
@article{HennrichRomanovHornetal.2018,
  author    = {Hennrich, Marco L. and Romanov, Natalie and Horn, Patrick and Jaeger, Samira and Eckstein, Volker and Steeples, Violetta and Ye, Fei and Ding, Ximing and Poisa-Beiro, Laura and Mang, Ching Lai and Lang, Benjamin and Boultwood, Jacqueline and Luft, Thomas and Zaugg, Judith B. and Pellagatti, Andrea and Bork, Peer and Aloy, Patrick and Gavin, Anne-Claude and Ho, Anthony D.},
  title     = {Cell-specific proteome analyses of human bone marrow reveal molecular features of age-dependent functional decline},
  series = {Nature Communications},
  volume    = {9},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-018-06353-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-319877},
  year      = {2018},
  abstract  = {Diminishing potential to replace damaged tissues is a hallmark for ageing of somatic stem cells, but the mechanisms remain elusive. Here, we present proteome-wide atlases of age-associated alterations in human haematopoietic stem and progenitor cells (HPCs) and five other cell populations that constitute the bone marrow niche. For each, the abundance of a large fraction of the ~12,000 proteins identified is assessed in 59 human subjects from different ages. As the HPCs become older, pathways in central carbon metabolism exhibit features reminiscent of the Warburg effect, where glycolytic intermediates are rerouted towards anabolism. Simultaneously, altered abundance of early regulators of HPC differentiation reveals a reduced functionality and a bias towards myeloid differentiation. Ageing causes alterations in the bone marrow niche too, and diminishes the functionality of the pathways involved in HPC homing. The data represent a valuable resource for further analyses, and for validation of knowledge gained from animal models.},
  language  = {en}
}