title: Use of transcriptomic data to support organelle proteomic analysis.
abstract: Genome-wide transcriptional profiling provides a rich source of data for the validation and annotation of organelle proteomic data. Organelle biogenesis is in most cases accompanied by upregulation of genes encoding organelle-specific proteins. Consequently, identification of genes whose expression correlates with organelle assembly leads to a candidate list that can be cross-checked with a preliminary organelle proteome. When proteins are found in the proteome and the corresponding genes are found to have organelle assembly-correlated expression, this greatly increases our confidence that those proteins are true components of the organelle and not contamination. Such an approach can be used to narrow down a preliminary proteomic data set and help us to focus on a smaller sub-set of proteins that are supported by transcriptomic cross-validation.
authors: Department of Biochemistry & Biophysics, University of California, San Francisco, CA, USA.
authors: Wallace F
authors: WF
authors: Marshall
mesh_terms: D002455:Cell Division; D002502:Centrioles / Q000737:chemistry / Q000648:ultrastructure; D020869:Gene Expression Profiling / Q000379:methods*; D008540:Meiosis; D009693:Nucleic Acid Hybridization / Q000379:methods; D015388:Organelles / Q000737:chemistry / Q000648:ultrastructure; D010944:Plants / Q000737:chemistry / Q000235:genetics; D020543:Proteome; D013573:Synaptonemal Complex / Q000648:ultrastructure; D015003:Yeasts / Q000737:chemistry / Q000235:genetics
chemical_list: D020543:Proteome