Global landscape of HIV–human protein complexes
By S. Jäger, Peter Cimermancic, Natali Gulbahce, Jeffrey R. Johnson, K. McGovern, S. Clarke, M. Shales, Gaelle Mercenne, L. Pache, Kathy Li and 27 more. Nature, 2011
720 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fd6751068abd8ad4879af53668059d8f605c2eb4
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Citations in the corpus
- Meta- and Orthogonal Integration of Influenza “OMICs” Data Defines a Role for UBR4 in Virus Budding (2015, methodology): “APMS samples were scored using ComPASS and MiST (Jäger et al., 2012; Smoot et al., 2011; Sowa et al., 2009; Verschueren et al., 2015), as described in the Supplemental Experimental Procedures.”
- Differential network biology (2012, background): “…the ultimate ‘stress’ on a system and characterizing host–pathogen PPIs using strategies that target pairwise interactions (Mukhtar et al , 2011) or protein complexes (Ja¨ger et al , 2011) will be key to understanding how host cellular pathways are re-wired during the course of infection.”
- Multidimensional proteomics for cell biology (2015, unknown): “Such approaches, in conjunction with high-throughput cDNA cloning strategies, have been used to examine protein complexes on a proteome-wide scale 63–67 .”
- Deciphering cell–cell interactions and communication from gene expression (2020, background): “Although this endeav-our will require validation of putative interactions, as done for human–virus protein interactions 153–156 , results from such studies will have a considerable impact on biomedicine and microbiome fields.”