Cell biologists expand their networks.
High-throughput omics technologies generate huge datasets on the protein, transcript, lipid, and metabolite content of cells. By integrating and analyzing these data, systems biologists study complex networks of physical and functional interactions that go beyond the traditional focus on individual proteins or linear pathways. Many cell biologists have greeted these developments with healthy skepticism, complaining that long lists of genes or "hairballs" of interactions provide little insight into biological questions of genuine meaning. As omics techniques move beyond acquisition into hypothesis-driven applications, the chasm between systems biologists and cell biologists is narrowing and the benefits of working together are increasingly clear. While cell biologists need omics and computer analyses to extend their understanding of biological processes, omics scientists need cell biologists to help them interpret and use their vast amounts of data.
Short
Ben
B
bshort@rockefeller.edu
D001695:Biology; D002468:Cell Physiological Phenomena; D016208:Databases, Factual; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008055:Lipids / Q000235:genetics / Q000502:physiology; D011506:Proteins / Q000235:genetics / Q000378:metabolism / Q000502:physiology; D049490:Systems Biology
D008055:Lipids; D011506:Proteins