Fig 1.
Proteins classification according to their biological processes (over 1,368 identified proteins; S1 Table).
Table 1.
Thirty-five proteins identified with altered levels of expression in response to transport stress (stressed) compared to non-stressed birds, as revealed by label-free MS/MS analysis using progenesis QI for proteomics.
Fig 2.
Gene enrichment analyses (Gene ontology-Biological process) of the proteins that are differentially expressed between the stressed and non-stressed groups.
The percentage of input proteins found associated with respect to the number of proteins directly annotated with the functional term are represented by bars. The number of input proteins related to the term are next to each bar. Bars that share the same color are clustered in the same functional group (see Table 2 for details).
Table 2.
Over-represented biological processes (GO:BP) associated with up- or down-regulated proteins in response to transport stress.
Fig 3.
Gene enrichment analyses (KEGG pathway database) of the proteins that are differentially expressed between the stressed and non-stressed groups.
The percentage of input proteins found associated with respect to the number of proteins directly annotated with the functional term are represented by bars together with the number of input proteins related to the term (see Table 3 for details).
Table 3.
Over-represented KEGG pathways associated with up- or down-regulated proteins in response to transport stress.
Fig 4.
PPI network of the differentially expressed proteins (35 proteins) in chickens’ liver exudate.
Proteins are represented by nodes. Association line colors: 1) magenta is experimentally determined; 2) dark green is gene neighborhood; 3) cyan is from curated databases, 4) black is coexpression; 5) purple is protein homology; 6) light green is textmining; 7) blue is gene co-occurrence.