Literature DB >> 26247298

Molecular characterization of neuronal cell types based on patterns of projection with Retro-TRAP.

Alexander R Nectow1, Mats I Ekstrand1, Jeffrey M Friedman1.   

Abstract

Retro-TRAP (translating ribosome affinity purification) technology enables the synthesis of molecular and neuroanatomical information through the use of transgenic and viral approaches. In contrast to other methods that are used to profile neural circuits such as laser-capture microdissection and FACS, Retro-TRAP is a high-throughput methodology that requires minimal specialized instrumentation. Retro-TRAP uses an anti-GFP ribosomal tag (expressed virally or using transgenesis) to immunoprecipitate translating mRNAs from any population of neurons that express GFP. The protocol detailed here describes the rapid extraction of molecular information from neural circuits in mice using retrograde-tracing GFP-expressing viruses. This approach can be used to identify novel cell types, as well as to molecularly profile cell types for which Cre-driver lines are available, in defined presynaptic loci. The current protocol describes a method for extracting translating mRNA from any neural circuit accessible by stereotaxic injection and manual dissection, and it takes 2-4 weeks. Although it is not described here, this mRNA can then be used in downstream processing applications such as quantitative PCR (qPCR) and high-throughput RNA sequencing to obtain 'molecular connectomic' information.

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Year:  2015        PMID: 26247298     DOI: 10.1038/nprot.2015.087

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  25 in total

1.  Retrograde neuronal tracing with a deletion-mutant rabies virus.

Authors:  Ian R Wickersham; Stefan Finke; Karl-Klaus Conzelmann; Edward M Callaway
Journal:  Nat Methods       Date:  2006-12-10       Impact factor: 28.547

2.  Defining midbrain dopaminergic neuron diversity by single-cell gene expression profiling.

Authors:  Jean-Francois Poulin; Jian Zou; Janelle Drouin-Ouellet; Kwang-Youn A Kim; Francesca Cicchetti; Rajeshwar B Awatramani
Journal:  Cell Rep       Date:  2014-10-30       Impact factor: 9.423

3.  Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing.

Authors:  Dmitry Usoskin; Alessandro Furlan; Saiful Islam; Hind Abdo; Peter Lönnerberg; Daohua Lou; Jens Hjerling-Leffler; Jesper Haeggström; Olga Kharchenko; Peter V Kharchenko; Sten Linnarsson; Patrik Ernfors
Journal:  Nat Neurosci       Date:  2014-11-24       Impact factor: 24.884

4.  Cell type-specific transcriptomics in the brain.

Authors:  Benjamin W Okaty; Ken Sugino; Sacha B Nelson
Journal:  J Neurosci       Date:  2011-05-11       Impact factor: 6.167

5.  Diversity of transgenic mouse models for selective targeting of midbrain dopamine neurons.

Authors:  Stephan Lammel; Elizabeth E Steinberg; Csaba Földy; Nicholas R Wall; Kevin Beier; Liqun Luo; Robert C Malenka
Journal:  Neuron       Date:  2015-01-21       Impact factor: 17.173

Review 6.  The alpha-herpesviruses: molecular pathfinders in nervous system circuits.

Authors:  Mats I Ekstrand; L W Enquist; Lisa E Pomeranz
Journal:  Trends Mol Med       Date:  2008-02-14       Impact factor: 11.951

7.  Heterogeneous composition of dopamine neurons of the rat A10 region: molecular evidence for diverse signaling properties.

Authors:  Xueping Li; Jia Qi; Tsuyoshi Yamaguchi; Hui-Ling Wang; Marisela Morales
Journal:  Brain Struct Funct       Date:  2012-08-29       Impact factor: 3.270

8.  A gene expression atlas of the central nervous system based on bacterial artificial chromosomes.

Authors:  Shiaoching Gong; Chen Zheng; Martin L Doughty; Kasia Losos; Nicholas Didkovsky; Uta B Schambra; Norma J Nowak; Alexandra Joyner; Gabrielle Leblanc; Mary E Hatten; Nathaniel Heintz
Journal:  Nature       Date:  2003-10-30       Impact factor: 49.962

9.  Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling.

Authors:  Nicholas T Ingolia; Sina Ghaemmaghami; John R S Newman; Jonathan S Weissman
Journal:  Science       Date:  2009-02-12       Impact factor: 47.728

10.  An update on canine adenovirus type 2 and its vectors.

Authors:  Thierry Bru; Sara Salinas; Eric J Kremer
Journal:  Viruses       Date:  2010-09-27       Impact factor: 5.818

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  14 in total

Review 1.  Reward Circuitry in Addiction.

Authors:  Sarah Cooper; A J Robison; Michelle S Mazei-Robison
Journal:  Neurotherapeutics       Date:  2017-07       Impact factor: 7.620

2.  Mapping Molecular Datasets Back to the Brain Regions They are Extracted from: Remembering the Native Countries of Hypothalamic Expatriates and Refugees.

Authors:  Arshad M Khan; Alice H Grant; Anais Martinez; Gully A P C Burns; Brendan S Thatcher; Vishwanath T Anekonda; Benjamin W Thompson; Zachary S Roberts; Daniel H Moralejo; James E Blevins
Journal:  Adv Neurobiol       Date:  2018

3.  Molecular profiling of reticular gigantocellularis neurons indicates that eNOS modulates environmentally dependent levels of arousal.

Authors:  Inna Tabansky; Yupu Liang; Maya Frankfurt; Martin A Daniels; Matthew Harrigan; Sarah Stern; Teresa A Milner; Rebecca Leshan; Rrezarta Rama; Tabea Moll; Jeffrey M Friedman; Joel N H Stern; Donald W Pfaff
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-02       Impact factor: 11.205

4.  Rapid Molecular Profiling of Defined Cell Types Using Viral TRAP.

Authors:  Alexander R Nectow; Maria V Moya; Mats I Ekstrand; Awni Mousa; Kelly L McGuire; Caroline E Sferrazza; Bianca C Field; Gabrielle S Rabinowitz; Kirsty Sawicka; Yupu Liang; Jeffrey M Friedman; Nathaniel Heintz; Eric F Schmidt
Journal:  Cell Rep       Date:  2017-04-18       Impact factor: 9.423

Review 5.  Signatures of sex: Sex differences in gene expression in the vertebrate brain.

Authors:  Bruno Gegenhuber; Jessica Tollkuhn
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2019-05-20       Impact factor: 5.814

6.  Gene Expression Profiling with Cre-Conditional Pseudorabies Virus Reveals a Subset of Midbrain Neurons That Participate in Reward Circuitry.

Authors:  Lisa E Pomeranz; Mats I Ekstrand; Kaamashri N Latcha; Gregory A Smith; Lynn W Enquist; Jeffrey M Friedman
Journal:  J Neurosci       Date:  2017-03-10       Impact factor: 6.167

7.  Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex.

Authors:  Malavika Murugan; Hee Jae Jang; Michelle Park; Ellia M Miller; Julia Cox; Joshua P Taliaferro; Nathan F Parker; Varun Bhave; Hong Hur; Yupu Liang; Alexander R Nectow; Jonathan W Pillow; Ilana B Witten
Journal:  Cell       Date:  2017-12-07       Impact factor: 41.582

Review 8.  Molecular tools to elucidate factors regulating alcohol use.

Authors:  Marian L Logrip
Journal:  Alcohol       Date:  2018-03-20       Impact factor: 2.405

9.  α1- and β3-Adrenergic Receptor-Mediated Mesolimbic Homeostatic Plasticity Confers Resilience to Social Stress in Susceptible Mice.

Authors:  Hongxing Zhang; Dipesh Chaudhury; Alexander R Nectow; Allyson K Friedman; Song Zhang; Barbara Juarez; He Liu; Madeline L Pfau; Hossein Aleyasin; Cheng Jiang; Marshall Crumiller; Erin S Calipari; Stacy M Ku; Carole Morel; Nikos Tzavaras; Sarah E Montgomery; Michelle He; Stephen R Salton; Scott J Russo; Eric J Nestler; Jeffrey M Friedman; Jun-Li Cao; Ming-Hu Han
Journal:  Biol Psychiatry       Date:  2018-09-06       Impact factor: 13.382

Review 10.  Molecular heterogeneity of midbrain dopaminergic neurons--Moving toward single cell resolution.

Authors:  Angela Anderegg; Jean-Francois Poulin; Rajeshwar Awatramani
Journal:  FEBS Lett       Date:  2015-10-23       Impact factor: 4.124

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