1c:{"metadata":[["$","title","0",{"children":"NIH VideoCast - High-Throughput Analysis of Subcellular Localization in Budding Yeast"}],["$","meta","1",{"name":"description","content":"A fundamental goal of cell biology is to define the functions of proteins in the context of compartments that organize them in the cellular milieu. We have constructed and analyzed a collection of yeast strains expressing full-length, chromosomally-tagged green fluorescent protein (GFP) fusion proteins. We classified these proteins, representing 75% of the yeast proteome, into twenty-two distinct subcellular localization categories and provide localization information for 70% of previously unlocalized proteins. Analysis of this high-resolution, high-coverage localization dataset in the context of transcriptional and protein-protein interaction data helps reveal the logic of transcriptional co-regulation and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.\n

\nFor more information, visit
\nhttp://proteome.nih.gov
"}],["$","meta","2",{"name":"publisher","content":"National Institutes of Health"}],["$","meta","3",{"property":"og:title","content":"NIH VideoCast - High-Throughput Analysis of Subcellular Localization in Budding Yeast"}],["$","meta","4",{"property":"og:description","content":"A fundamental goal of cell biology is to define the functions of proteins in the context of compartments that organize them in the cellular milieu. We have constructed and analyzed a collection of yeast strains expressing full-length, chromosomally-tagged green fluorescent protein (GFP) fusion proteins. We classified these proteins, representing 75% of the yeast proteome, into twenty-two distinct subcellular localization categories and provide localization information for 70% of previously unlocalized proteins. Analysis of this high-resolution, high-coverage localization dataset in the context of transcriptional and protein-protein interaction data helps reveal the logic of transcriptional co-regulation and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.\n

\nFor more information, visit
\nhttp://proteome.nih.gov
"}],["$","meta","5",{"property":"og:url","content":"https://uat.d1rkikwu4q8tg.amplifyapp.com/watch/97da899c-d5db-11f0-9cf9-12c45c580ad9"}],["$","meta","6",{"property":"og:site_name","content":"NIH VideoCast"}],["$","meta","7",{"property":"og:image","content":"https://nihcit.rev.vbrick.com/api/v2/media/videos/thumbnails/b8296f27-bd5c-498b-9674-7c75ff70b85a.jpg"}],["$","meta","8",{"property":"og:type","content":"website"}],["$","meta","9",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","10",{"name":"twitter:title","content":"NIH VideoCast - High-Throughput Analysis of Subcellular Localization in Budding Yeast"}],["$","meta","11",{"name":"twitter:description","content":"A fundamental goal of cell biology is to define the functions of proteins in the context of compartments that organize them in the cellular milieu. We have constructed and analyzed a collection of yeast strains expressing full-length, chromosomally-tagged green fluorescent protein (GFP) fusion proteins. We classified these proteins, representing 75% of the yeast proteome, into twenty-two distinct subcellular localization categories and provide localization information for 70% of previously unlocalized proteins. Analysis of this high-resolution, high-coverage localization dataset in the context of transcriptional and protein-protein interaction data helps reveal the logic of transcriptional co-regulation and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.\n

\nFor more information, visit
\nhttp://proteome.nih.gov
"}],"$L22","$L23","$L24"],"error":null,"digest":"$undefined"}