@neuronJoy@metricausa@naturemethods @blee_aibs @MarkCembrowski @AToliasLab late to the game here, but great reminder to give your paper a more thorough read! Love the honesty here: 'it can be perilous not to consider using multiple data types. โI think what neuroscience does with single-cell RNA-seq is simply wrong,โ '
(and yes, I'm guilty of only tweeting papers๐ฅ. Sorry all, I'll try to learn sustainable engagement here soon, just in time for the platform's impending demise!)
A couple weeks ago we quietly released a draft characterizing inhibitory neuron types in layer 1 of human cortex using patch-seq, and comparing to mouse! (w/ @KalmbachsCortex and many others) https://t.co/h8l0VEPtj4
On the Human Cell Types team, we study single neurons from tissue removed during surgery (thanks donors ๐). We donโt usually get to study connections, so I jumped in to help with our SynPhys teamโs analysis (https://t.co/DvY5xxuexT). 1/7
(disclaimer: ๐ and ๐คต are different in many ways, so letโs not assume these findings are related to intelligence or human-unique. Who knows what weโd find in other species!) 7/7
๐ง Which brain cell types are connected, and what do those connections look like? ๐ค Recording from multiple live neurons simultaneously โ our researchers mapped thousands of cortical connections to find out. ๐งต 1 https://t.co/UVL6P2m5eI