Journal of Proteome ResearchCell BiologyPeer-reviewed journal article
Dynamics of single-cell protein covariation during epithelial-mesenchymal transition
Saad KhaniD, Rachel Conover, Anand R. AsthagiriiD, Nikolai SlavoviD
Abstract
Physiological processes, such as epithelial-mesenchymal transition (EMT), are mediated by changes in protein interactions. These changes may be better reflected in protein covariation within cellular cluster than in the temporal dynamics of cluster-average protein abundance. To explore this possibility, we quantified proteins in single human cells undergoing EMT. Covariation analysis of the data revealed that functionally coherent protein clusters dynamically changed their protein-protein correlations without concomitant changes in cluster-average protein abundance. These dynamics of protein-protein correlations were monotonic in time and delineated protein modules functioning in actin cytoskeleton organization, energy metabolism and protein transport. These protein modules are defined by protein covariation within the same time point and cluster and thus reflect biological regulation masked by the cluster-average protein dynamics. Thus, protein correlation dynamics across single cells offer a window into protein regulation during physiological transitions. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/572913v2_ufig1.gif" ALT="Figure 1"> View larger version (78K): org.highwire.dtl.DTLVardef@84ba15org.highwire.dtl.DTLVardef@1d4c753org.highwire.dtl.DTLVardef@6a4210org.highwire.dtl.DTLVardef@174fa1_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- Citations
- 16
- FWCI
- 2.00
- Field percentile
- top 13%
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