Updated publication reference for PubMed record(s): 29447168. Updated publication reference for PubMed record(s): 29447168. Updated publication reference for PubMed record(s): 29447168. Updated publication reference for PubMed record(s): 29447168. We sought to generate a comprehensive proteomic profile for a Populus plant that captures protein abundance behavioral differences in mature leaves under various water deficit conditions. The sudden infliction of severe drought is unlikely to reflect what naturally happens to soil-grown plants. Therefore, rather than exposing plants to severe dehydration via the application of concentrated osmotica (e.g., polyethylene glycol or mannitol), we aimed to monitor plants exposed to prolonged drought as well as plants frequently experiencing cyclic drought. For the progressive drought experiment, herein referred to as acute drought, water will be withheld from the plants for a certain period of time until symptoms of wilting are observed. From this drought treatment, protein abundance changes that occur because of declining water potentials that consequently lead to worsening plant health will provide new insights to biological pathways in response to severe drought conditions. On the other hand, as a consequence of simulating a more natural condition, the cyclic drought treatment will provide novel insights into drought recovery and coping mechanisms. As first noted in a meta-analysis of microarray experiments comparing different water deficit-related treatments3, one consequence of analyzing multiple treatment conditions is that we expect only a few differentially abundant proteins to be common to both treatments. Therefore, we implemented a bioinformatic framework to provide an overall integrative picture of the conserved drought markers but also meaningful divergences in functional behavioral responses between the two experiments.