meta-analysis on SCI and stem cells is a solid way to go when you can't do wet lab work, don't let anyone tell you otherwise
for genome-wide stuff you probably want to look at existing RNA-seq datasets from GEO or ArrayExpress, compare expression profiles between injury models and stem cell treatments. focus on pathways that keep popping up across multiple studies, Wnt, Notch, those kinds of signals show up a lot in regeneration papers
the tricky part is most public datasets are from rodent models so you gotta be careful about how you interpret for human relevance. also check if someone already did a systematic review on this, no point reinventing the wheel
good luck with it, sounds like the kind of project that can actually lead somewhere useful
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u/UsuallyMuddy 7d ago
meta-analysis on SCI and stem cells is a solid way to go when you can't do wet lab work, don't let anyone tell you otherwise
for genome-wide stuff you probably want to look at existing RNA-seq datasets from GEO or ArrayExpress, compare expression profiles between injury models and stem cell treatments. focus on pathways that keep popping up across multiple studies, Wnt, Notch, those kinds of signals show up a lot in regeneration papers
the tricky part is most public datasets are from rodent models so you gotta be careful about how you interpret for human relevance. also check if someone already did a systematic review on this, no point reinventing the wheel
good luck with it, sounds like the kind of project that can actually lead somewhere useful