Accession Number : ADA501325


Title :   Influence of Protein Abundance on High-Throughput Protein-Protein Interaction Detection


Descriptive Note : Journal article


Corporate Author : BIOTECHNOLOGY HPC SOFTWARE APPLICATIONS INST FORT DETRICK MD


Personal Author(s) : Ivanic, Joseph ; Yu, Xueping ; Wallqvist, Anders ; Reifman, Jaques


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a501325.pdf


Report Date : 05 Jun 2009


Pagination or Media Count : 13


Abstract : Experimental protein-protein interaction (PPI) networks are increasingly being exploited in diverse ways for biological discovery. Accordingly, it is vital to discern their underlying natures by identifying and classifying the various types of deterministic (specific) and probabilistic (nonspecific) interactions detected. To this end, we have analyzed PPI networks determined using a range of high-throughput experimental techniques with the aim of systematically quantifying any biases that arise from the varying cellular abundances of the proteins. We confirm that PPI networks determined using affinity purification methods for yeast and Escherichia coli incorporate a correlation between protein degree, or number of interactions, and cellular abundance. The observed correlations are small but statistically significant and occur in both unprocessed (raw) and processed (high-confidence) data sets. In contrast, the yeast two-hybrid system yields networks that contain no such relationship. While previously commented based on mRNA abundance, our more extensive analysis based on protein abundance confirms a systematic difference between PPI networks determined from the two technologies.


Descriptors :   *PROTEINS , *INTERACTIONS , *NETWORKS , CELLS(BIOLOGY) , ESCHERICHIA COLI , YEASTS , THROUGHPUT , REPRINTS


Subject Categories : Biochemistry


Distribution Statement : APPROVED FOR PUBLIC RELEASE