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@ARTICLE{Tomska:144469,
      author       = {K. Tomska$^*$ and S. Scheinost$^*$ and T. Zenz},
      title        = {{L}ymphoma and {L}eukemia {C}ell {V}ulnerabilities and
                      {R}esistance {I}dentified by {C}ompound {L}ibrary
                      {S}creens.},
      journal      = {Methods in molecular biology},
      volume       = {1956},
      issn         = {1064-3745},
      address      = {[Heidelberg]},
      publisher    = {[Springer]},
      reportid     = {DKFZ-2019-01920},
      isbn         = {978-1-4939-9150-1 (print)},
      pages        = {351-362},
      year         = {2019},
      abstract     = {Response to anticancer agents is often restricted to
                      subsets of patients. The recognition of factors underlying
                      this heterogeneity and the identification of biomarkers
                      associated with response to drugs would greatly improve the
                      efficacy of drug treatment. Platforms that can
                      comprehensively map drug response in high-throughput ex vivo
                      provide a unique tool to identify associated biomarkers and
                      provide hypotheses for mechanisms underlying variable
                      response. Such screens can be performed on cell lines and
                      short-term cultures of primary cells to take advantage of
                      the respective models' strength, which include, e.g., the
                      ability to silence genes in cell lines and the 'indefinite'
                      supply of primary cells where clonal selection can be
                      avoided. Cohorts of such samples represent the natural
                      diversity of cancers, including rarer mutations and
                      combinatorial patterns of mutations.We here summarize a
                      simple and scalable method for the measurement of viability
                      after drug exposure based on ATP measurements as a surrogate
                      for viability, which we use to measure and understand drug
                      response in cell lines and primary cells.},
      keywords     = {Antineoplastic Agents (NLM Chemicals) / Biomarkers,
                      Pharmacological (NLM Chemicals)},
      cin          = {G250},
      ddc          = {570},
      cid          = {I:(DE-He78)G250-20160331},
      pnm          = {319H - Addenda (POF3-319H)},
      pid          = {G:(DE-HGF)POF3-319H},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)16},
      pubmed       = {pmid:30779044},
      doi          = {10.1007/978-1-4939-9151-8_17},
      url          = {https://inrepo02.dkfz.de/record/144469},
}