Good vs poor responder RNAseq transcriptome profiles in DBA/2J mice

Major depressive disorder is the most prevalent mental illness worldwide,
still its pharmacological treatment is limited by various challenges, such
as the large heterogeneity in treatment response and the lack of insight
into the neurobiological pathways underlying this phenomenon. To decode
the molecular mechanisms shaping antidepressant response and to
distinguish those from general paroxetine effects, we used a previously
established approach targeting extremes (i.e. good vs. poor responder
mice). Transcriptome profiling on micro-dissected DG granule cells as well
as on peripheral blood samples was performed to i) reveal celltype
specific changes in paroxetine-induced gene expression (paroxetine vs.
vehicle) and ii) to identify molecular signatures of treatment response
within a cohort of paroxetine-treated animals. In this datasheet, we
provide the mapped and norm-counted RNAseq results of our experiments in
an user-friendly excel file.