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10.1016/j.cell.2014.03.059 http://scihub22266oqcxt.onion/10.1016/j.cell.2014.03.059 C4854627!4854627!24855954     free     free     free       Cell 2014 ; 157 (5): 1230-42 Nephropedia Template TP {{tp|p=24855954|t=2014. Molecular Profiling of Neurons Based on Connectivity |pdf=|usr=}}{{24855954}} gab.com Text Molecular Profiling of Neurons Based on Connectivity JO: Cell http://www.kidney.de/pget.php?&tw=1&pmid=24855954 #FOAvip The complexity and cellular heterogeneity of neural circuitry presents a major challenge to understanding the role of discrete neural populations in controlling behavior. While neuroanatomical methods enable high-resolution mapping of neural circuitry, these approaches do not allow systematic molecular profiling of neurons based on their connectivity. We report the development of an approach for molecularly profiling projective neurons. We show that ribosomes can be tagged with a camelid nanobody raised against GFP and that this system can be engineered to selectively capture translating mRNAs from neurons retrogradely labeled with GFP. Using this system we profiled neurons projecting to the nucleus accumbens. We then used an AAV to selectively profile midbrain dopamine neurons projecting to the nucleus accumbens. By comparing the captured mRNAs from each experiment, we identified a number of markers specific to VTA dopaminergic projection neurons. The current method provides a means for profiling neurons based on their projections. Twit Text FOAVip Molecular Profiling of Neurons Based on Connectivity ????Cell http://www.kidney.de/pget.php?&tw=1&pmid=24855954 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24855954 #FOAvip English Wikipedia <ref>{{Cite pmid|24855954}}</ref> Molecular Profiling of Neurons Based on Connectivity #MMPMID24855954 Ekstrand MI; Nectow AR; Knight ZA; Latcha KN; Pomeranz LE; Friedman JM Cell 2014[May]; 157 (5): 1230-42 PMID24855954show ga The complexity and cellular heterogeneity of neural circuitry presents a major challenge to understanding the role of discrete neural populations in controlling behavior. While neuroanatomical methods enable high-resolution mapping of neural circuitry, these approaches do not allow systematic molecular profiling of neurons based on their connectivity. We report the development of an approach for molecularly profiling projective neurons. We show that ribosomes can be tagged with a camelid nanobody raised against GFP and that this system can be engineered to selectively capture translating mRNAs from neurons retrogradely labeled with GFP. Using this system we profiled neurons projecting to the nucleus accumbens. We then used an AAV to selectively profile midbrain dopamine neurons projecting to the nucleus accumbens. By comparing the captured mRNAs from each experiment, we identified a number of markers specific to VTA dopaminergic projection neurons. The current method provides a means for profiling neurons based on their projections. äMolecular Profiling of Neurons Based on Connectivity (epmc).pdf DeepDyve Pubget Overpricing