Protein interactions and topologies are key features that enable specificity, function and the evolution of highly integrated, regulated networks in biological systems. Primary challenges associated with the study of biological systems include identification of protein interactions and measurement of topological features of proteins and their interactions in vivo. Advancements such as the Yeast Two-Hybrid (1), coimmunoprecipitation (2), and Tandem Affinity Purification tags (3) have greatly increased the ability to identify hundreds or even thousands of interactions from complex biological samples (2, 4 -6). Despite the many thousands of protein interactions that are now known (7) however, for only a tiny fraction is there any knowledge of their in vivo topology. On the other hand, if topologies of interactions were more widely known, this information could improve understanding of underlying fundamental factors that drive interactions, improve development of highly specific modulators of protein interactions, improve interaction prediction capabilities, and improve comprehension on biological systems. Unfortunately, exceedingly few methods exist to allow unbiased measurement of proteinprotein interaction topological features in cells.Chemical cross-linking has great potential for in vivo interaction topological studies (8 -10). Cross-linked peptides contain information about interacting protein identities and can uniquely define regions of protein sequences that are near one another when proteins are present within the native cellular environment. Challenges associated with in vivo crosslinking analysis that have precluded this achievement include the difficulty in identification of cross-linked peptides and the severe dynamic range constraints resultant from the overwhelming majority of noncross-linked peptides. Our efforts to overcome these challenges resulted in development of Protein Interaction Reporter (PIR) 1 technology (11) that uses a novel type of cross-linker and mass spectrometry to identify peptides that are close to one another within protein complexes in cells. These efforts resulted in the first reported identification of cross-linked peptides from live cells (9) including the first in vivo identification of an interaction among two outer membrane cytochrome c proteins, an interaction that appears to be critical to electron transport properties of Shewanella oneidensis (12).Here we present the first application of PIR technology to the study of interactions in E. coli cells where 65 cross-linked peptide pairs were unambiguously identified. To date, this constitutes the largest in vivo cross-linked peptide data set ever produced. In this system, we are also able to compare many of our results with known protein and protein complex crystal structures that demonstrate excellent agreement with our in vivo data. Importantly, this comparative analysis was also used to define distance constraints that enable refinements of structural prediction of in vivo protein complexes never before possible. Furthe...