Thermal proteome profiling with label-free quantitation
using ion-mobility-enhanced
LC–MS offers versatile data sets, providing information on
protein differential expression, thermal stability, and the activities
of transcription factors. We developed a multidimensional data analysis
workflow for label-free quantitative thermal proteome profiling (TPP)
experiments that incorporates the aspects of gene set enrichment analysis,
differential protein expression analysis, and inference of transcription
factor activities from LC–MS data. We applied it to study the
signaling processes downstream of melanocortin 3 receptor (MC3R) activation
by endogenous agonists derived from the proopiomelanocortin prohormone:
ACTH, α-MSH, and γ-MSH. The obtained information was used
to map signaling pathways downstream of MC3R and to deduce transcription
factors responsible for cellular response to ligand treatment. Using
our workflow, we identified differentially expressed proteins and
investigated their thermal stability. We found in total 298 proteins
with altered thermal stability, resulting from MC3R activation. Out
of these, several proteins were transcription factors, indicating
them as being downstream target regulators that take part in the MC3R
signaling cascade. We found transcription factors CCAR2, DDX21, HMGB2,
SRSF7, and TET2 to have altered thermal stability. These apparent
target transcription factors within the MC3R signaling cascade play
important roles in immune responses. Additionally, we inferred the
activities of the transcription factors identified in our data set.
This was done with Bayesian statistics using the differential expression
data we obtained with label-free quantitative LC–MS. The inferred
transcription factor activities were validated in our bioinformatic
pipeline by the phosphorylated peptide abundances that we observed,
highlighting the importance of post-translational modifications in
transcription factor regulation. Our multidimensional data analysis
workflow allows for a comprehensive characterization of the signaling
processes downstream of MC3R activation. It provides insights into
protein differential expression, thermal stability, and activities
of key transcription factors. All proteomic data generated in this
study are publicly available at DOI: 10.6019/PXD039945.