The DOI matches its Crossref record; 58 of the 59 references it cites were found in a registry or an index.
A Translational Profiling Approach for the Molecular Characterization of CNS Cell Types
Open accessAbstract
The cellular heterogeneity of the brain confounds efforts to elucidate the biological properties of distinct neuronal populations. Using bacterial artificial chromosome (BAC) transgenic mice that express EGFP-tagged ribosomal protein L10a in defined cell populations, we have developed a methodology for affinity purification of polysomal mRNAs from genetically defined cell populations in the brain. The utility of this approach is illustrated by the comparative analysis of four types of neurons, revealing hundreds of genes that distinguish these four cell populations. We find that even two morphologically indistinguishable, intermixed subclasses of medium spiny neurons display vastly different translational profiles and present examples of the physiological significance of such differences. This genetically targeted translating ribosome affinity purification (TRAP) methodology is a generalizable method useful for the identification of molecular changes in any genetically defined cell type in response to genetic alterations, disease, or pharmacological perturbations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Expression of markers associated with canonical SPNs suggests eSPNs have been molecularly “camouflaged,” including in studies using mice that have employed Drd1 and Adora2a driven–transgenes to label and manipulate dSPNs or iSPNs (Heiman et al., 2008; Kozorovitskiy et al., 2012; Kravitz et al., 2012).”
From Molecular diversity and specializations among the cells of the adult mouse brain (2018) · cites this paper as Heiman et al., 2008
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Crossing these mice to microglia-specific Cre mice allows for the isolation of ribosome-associated mRNAs in a cell-type-specific fashion using eGFP-based immunoaffinity purification28,91,93.”
From Lymphoid gene expression supports neuroprotective microglia function (2025) · cites this paper as [91]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The TRAP approach91,92 relies on the genetic labelling of the ribosomal protein L10a with the enhanced green fluorescent protein (eGFP) using Eef1a1LSL.eGFPL10a/+ mice60.”
From Lymphoid gene expression supports neuroprotective microglia function (2025) · cites this paper as [91]
In the citing paper
“These neurons are defined by their transcriptional profiles, including dopamine receptor 1 (D1) vs. dopamine receptor 2 (D2) expression, substance P and enkephalin, and other enriched genes (16–18).”
From Emerging Role for Nucleus Accumbens Medium Spiny Neuron Subtypes in Depression (2017) · cites this paper as [18]
In the citing paper
“These fractions harbor complexes containing multiple ribosomes (Figure 7A) identified as such by immuno-EM on the same gradient fraction prepared from a transgenic mouse expressing the tagged ribosomal protein EGFP-rpL10a (Heiman et al., 2008; Doyle et al., 2008) (Figure 7B).”
From FMRP Stalls Ribosomal Translocation on mRNAs Linked to Synaptic Function and Autism (2011) · cites this paper as Heiman et al., 2008
In the citing paper
“overexpression of an epitope-tagged ribosomal protein (referred to as ‘TRAP’ or ‘Ribo-tag’ methods) under the control of one such cell-type-specific promoter allows purification by immunoprecipitation of the transcripts bound by the polyribosome in the desired cells58”
From Decoding neuroproteomics: integrating the genome, translatome and functional anatomy (2014) · cites this paper as [58]
In the citing paper
“No statistical methods were used to pre-determine sample sizes but our sample sizes are similar to those reported in previous publications19,31,95,99,108.”
From Epigenetic regulation of brain region-specific microglia clearance activity (2018) · cites this paper as [19]
In the citing paper
“The bacTRAP technology enabled us to assay AD-relevant neuronal cell types with genome-wide coverage, measure transcripts ex vivo (as opposed to postmortem), and specifically capture actively translated (rather than all transcribed) genes.”
From Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis (2020) · cites this paper as Heiman et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
Di Chiara, G., & Imperato, A. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.14.5274 · Cited by 4,733
Cocaine Receptors on Dopamine Transporters Are Related to Self-Administration of Cocaine
Ritz, M. C., Lamb, R. J., Goldberg, S. R., & Kuhar, M. J. (1987) · Science · doi:10.1126/science.2820058 · Cited by 2,180
A gene expression atlas of the central nervous system based on bacterial artificial chromosomes
Gong, S., Zheng, C., Doughty, M. L., Losos, K., Didkovsky, N., Schambra, U. B., Nowak, N. J., Joyner, A., Leblanc, G., Hatten, M. E., et al. (2003) · Nature · doi:10.1038/nature02033 · Cited by 2,108
Self-citationThe neostriatal mosaic: multiple levels of compartmental organization
Gerfen, C. R. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90355-c · Cited by 1,471
Homer: a protein that selectively binds metabotropic glutamate receptors
Brakeman, P., Lanahan, A. A., O’Brien, R., Roche, K. W., Barnes, C. A., Huganir, R. L., & Worley, P. F. (1997) · Nature · doi:10.1038/386284a0 · Cited by 1,115
The neostriatal mosaic: multiple levels of compartmental organization in the basal ganglia
Gerfen, C. R. (1992) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.15.030192.001441 · Cited by 1,004
Application of a translational profiling approach for the comparative analysis of CNS cell types
Doyle, J. P., Dougherty, J. D., Heiman, M., Schmidt, E. F., Stevens, T. R., Ma, G., Bupp, S., Shrestha, P., Shah, R. D., Doughty, M. L., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.029 · Cited by 912
Self-citation
Flagged first, then by citations
1 of the 59 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 201–300 of 1,000
Genetic identity of thermosensory relay neurons in the lateral parabrachial nucleus
Geerling, J. C., Kim, M., Mahoney, C. E., Abbott, S. B. G., Agostinelli, L. J., Garfield, A. S., Krashes, M. J., Lowell, B. B., & Scammell, T. E. (2015) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00094.2015 · Cited by 121
The Neuron Identity Problem: Form Meets Function
Fishell, G., & Heintz, N. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.035 · Cited by 115
Self-citationMegat, S., Ray, P. R., Tavares‐Ferreira, D., Moy, J. K., Sankaranarayanan, I., Wangzhou, A., Lou, T. F., Barragán‐Iglesias, P., Campbell, Z. T., Dussor, G. O., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2663-18.2019 · Cited by 117
Gay, L. S., Miller, M. R., Ventura, P. B., Devasthali, V., Vue, Z., Thompson, H. L., Temple, S., Zong, H., Cleary, M. D., Stankunas, K., et al. (2013) · Genes & Development · doi:10.1101/gad.205278.112 · Cited by 117
RNA-binding proteins in neurodegeneration: Seq and you shall receive
Nussbacher, J. K., Batra, R., Lagier-Tourenne, C., & Yeo, G. W. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.02.003 · Cited by 115
Yawata, S., Yamaguchi, T., Danjo, T., Hikida, T., & Nakanishi, S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210797109 · Cited by 112
Macrophage Migration Inhibitory Factor as a Chaperone Inhibiting Accumulation of Misfolded SOD1
Israelson, A., Ditsworth, D., Sun, S., Song, S., Liang, J., Hruška-Plocháň, M., McAlonis‐Downes, M., Abu‐Hamad, S., Zoltsman, G., Shani, T., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.034 · Cited by 114
Ring, K. L., An, M. C., Zhang, N., O’Brien, R., Ramos, E. M., Gao, F., Atwood, R., Bailus, B. J., Melov, S., Mooney, S. D., et al. (2015) · Stem Cell Reports · doi:10.1016/j.stemcr.2015.11.005 · Cited by 115
Hypothalamic Amylin Acts in Concert with Leptin to Regulate Food Intake
Li, Z., Kelly, L., Gergi, I., Vieweg, P., Heiman, M., Greengard, P., & Friedman, J. M. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.10.012 · Cited by 114
Self-citationSawicka, K., Hale, C. R., Park, C. Y., Fak, J. J., Gresack, J. E., Driesche, S. J. V., Kang, J. J., Darnell, J. C., & Darnell, R. B. (2019) · eLife · doi:10.7554/elife.46919 · Cited by 118
Systematic analysis of posttranscriptional gene expression
Morris, A. R., Mukherjee, N., & Keene, J. D. (2009) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.54 · Cited by 112
Bayraktar, E. C., Baudrier, L., Özerdem, C., Lewis, C. A., Chan, S. H., Kunchok, T., Abu-Remaileh, M., Cangelosi, A. L., Sabatini, D. M., Birsoy, K., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1816656115 · Cited by 111
A distinct D1-MSN subpopulation down-regulates dopamine to promote negative emotional state
Liu, Z., Le, Q., Lv, Y., Chen, X., Cui, J., Zhou, Y., Cheng, D., Ma, C., Su, X., Xiao, L., et al. (2021) · Cell Research · doi:10.1038/s41422-021-00588-5 · Cited by 110
Molecular mechanisms of maternal cannabis and cigarette use on human neurodevelopment
Morris, C. V., DiNieri, J. A., Szutorisz, H., & Hurd, Y. L. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07884.x · Cited by 113
Genetic dissection of GABAergic neural circuits in mouse neocortex
Taniguchi, H. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00008 · Cited by 106
Profiling of Glucose-Sensing Neurons Reveals that GHRH Neurons Are Activated by Hypoglycemia
Stanley, S., Domingos, A. I., Kelly, L., Garfield, A., Damanpour, S., Heisler, L., & Friedman, J. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.09.002 · Cited by 110
Petri, R., Malmevik, J., Fasching, L., Åkerblom, M., & Jakobsson, J. (2013) · Experimental Cell Research · doi:10.1016/j.yexcr.2013.09.022 · Cited by 109
Forbes, T. A., Goldstein, E. Z., Dupree, J. L., Jablonska, B., Scafidi, J., Adams, K. L., Kawasawa, Y. I., Hashimoto‐Torii, K., & Gallo, V. (2020) · Nature Communications · doi:10.1038/s41467-020-14762-7 · Cited by 108
Human brain evolution: From gene discovery to phenotype discovery
Preuss, T. M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201894109 · Cited by 114
Sapkota, D., Lake, A. M., Yang, W., Yang, C., Wesseling, H., Guise, A. J., Uncu, C., Dalal, J. S., Kraft, A. W., Lee, J., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2018.12.077 · Cited by 113
Porniece, M., Cremer, A. L., Klemm, P., Steuernagel, L., Sundaram, S. M., Jaïs, A., Hausen, A. C., Tao, J., Secher, A., Pedersen, T. Å., et al. (2021) · Nature Metabolism · doi:10.1038/s42255-021-00499-0 · Cited by 109
Okaty, B. W., Sugino, K., & Nelson, S. B. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016493 · Cited by 104
Molecular adaptations of striatal spiny projection neurons during levodopa-induced dyskinesia
Heiman, M., Heilbut, A. M., Francardo, V., Kulicke, R., Fenster, R. J., Kolaczyk, E. D., Mesirov, J. P., Surmeier, D. J., Cenci, M. A., & Greengard, P. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1401819111 · Cited by 106
Self-citationModeling and predicting clinical efficacy for drugs targeting the tumor milieu
Singh, M., & Ferrara, N. (2012) · Nature Biotechnology · doi:10.1038/nbt.2286 · Cited by 107
Rannals, M. D., Hamersky, G. R., Page, S. C., Campbell, M. N., Briley, A., Gallo, R. A., Phan, B. N., Hyde, T. M., Kleinman, J. E., Shin, J. H., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.021 · Cited by 106
Higashimori, H., Schin, C. S., Chiang, M. S. R., Morel, L., Shoneye, T. A., Nelson, D. L., & Yang, Y. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1069-16.2016 · Cited by 105
Chandra, R., Engeln, M., Schiefer, C., Patton, M. H., Martin, J. A., Werner, C. T., Riggs, L. M., Francis, T. C., McGlincy, M., Evans, B., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.037 · Cited by 111
Dopamine D2 Receptor Overexpression Alters Behavior and Physiology in Drd2-EGFP Mice
Kramer, P. F., Christensen, C. H., Hazelwood, L. A., Dobi, A., Bock, R., Sibley, D. R., Mateo, Y., & Alvarez, V. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4287-10.2011 · Cited by 103
Koo, J. W., Lobo, M. K., Chaudhury, D., Labonté, B., Friedman, A. K., Heller, E. A., Peña, C. J., Han, M., & Nestler, E. J. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.118 · Cited by 99
Cell-Type-Specific Translation Profiling Reveals a Novel Strategy for Treating Fragile X Syndrome
Thomson, S. R., Seo, S. S., Barnes, S. A., Louros, S. R., Muscas, M., Dando, O., Kirby, C., Wyllie, D. J. A., Hardingham, G. E., Kind, P. C., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.013 · Cited by 100
How to make a hippocampal dentate gyrus granule neuron
Yu, D. X., Marchetto, M. C., & Gage, F. H. (2014) · Development · doi:10.1242/dev.096776 · Cited by 109
Regulatory discrimination of mRNAs by FMRP controls mouse adult neural stem cell differentiation
Liu, B., Li, Y., Stackpole, E. E., Novak, A., Gao, Y., Zhao, L., Zhao, X., & Richter, J. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1809588115 · Cited by 103
Serotonin receptor 4 in the hippocampus modulates mood and anxiety
Karayol, R., Medrihan, L., Warner‐Schmidt, J. L., Fait, B. W., Rao, M. N., Hölzner, E., Greengard, P., Heintz, N., & Schmidt, E. F. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00994-y · Cited by 112
Self-citationCell Type-Specific Transcriptomics in the Brain
Okaty, B. W., Sugino, K., & Nelson, S. B. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0626-11.2011 · Cited by 104
Dobi, A., Seabold, G. K., Christensen, C. H., Bock, R., & Alvarez, V. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5375-10.2011 · Cited by 114
Locus Coeruleus and Dopamine-Dependent Memory Consolidation
Yamasaki, M., & Takeuchi, T. (2017) · Neural Plasticity · doi:10.1155/2017/8602690 · Cited by 91
Extensive cryptic splicing upon loss of RBM17 and TDP43 in neurodegeneration models
Tan, Q., Yalamanchili, H. K., Park, J., Maio, A. D., Lu, H., Wan, Y., White, J. J., Bondar, V. V., Sayegh, L. S., Liu, X., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw337 · Cited by 99
Transcriptional control of lung alveolar type 1 cell development and maintenance by NK homeobox 2-1
Little, D. R., Gerner-Mauro, K. N., Flodby, P., Crandall, E. D., Borok, Z., Akiyama, H., Kimura, S., Ostrin, E. J., & Chen, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1906663116 · Cited by 94
Nechemia‐Arbely, Y., Miga, K. H., Shoshani, O., Aslanian, A., McMahon, M. A., Lee, A. Y., Fachinetti, D., Yates, J. R., Ren, B., & Cleveland, D. W. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0331-4 · Cited by 98
Optogenetic insights into striatal function and behavior
Lenz, J. D., & Lobo, M. K. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.04.018 · Cited by 95
Nakanishi, S., Hikida, T., & Yawata, S. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.04.026 · Cited by 103
A comparative analysis of library prep approaches for sequencing low input translatome samples
Song, Y., Milon, B. C., Ott, S. H., Zhao, X., Sadzewicz, L., Shetty, A. C., Boger, E. T., Tallon, L. J., Morell, R. J., Mahurkar, A., et al. (2018) · BMC Genomics · doi:10.1186/s12864-018-5066-2 · Cited by 96
A neurodegenerative cellular stress response linked to dark microglia and toxic lipid secretion
Flury, A. G., Aljayousi, L., Park, H.-J., Khakpour, M., Mechler, J., Aziz, S., McGrath, J. D., Deme, P., Sandberg, C., Ibáñez, F. G., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.11.018 · Cited by 102
Massart, R., Guilloux, J., Mignon, V., Sokoloff, P., & Díaz, J. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06842.x · Cited by 95
Insights into the Neural and Genetic Basis of Vocal Communication
Konopka, G., & Roberts, T. F. (2016) · Cell · doi:10.1016/j.cell.2016.02.039 · Cited by 98
Quantitative proteomics in biological research
Wilm, M. S. (2009) · PROTEOMICS · doi:10.1002/pmic.200900299 · Cited by 99
Sleep Regulation by Neurotensinergic Neurons in a Thalamo-Amygdala Circuit
Ma, C., Zhong, P., Liu, D., Barger, Z., Zhou, L., Chang, W.-C., Kim, B., & Dan, Y. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.015 · Cited by 97
Wertz, M. H., Mitchem, M. R., Pineda, S. S., Hachigian, L. J., Lee, H., Lau, V., Powers, A. E., Kulicke, R., Madan, G. K., Colic, M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.004 · Cited by 99
Self-citationQuantifying Protein-mRNA Interactions in Single Live Cells
Wu, B., Buxbaum, A. R., Katz, Z., Yoon, Y. J., & Singer, R. H. (2015) · Cell · doi:10.1016/j.cell.2015.05.054 · Cited by 97
Developmental maturation of astrocytes and pathogenesis of neurodevelopmental disorders
Yang, Y., Higashimori, H., & Morel, L. (2013) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-5-22 · Cited by 99
Species and cell-type properties of classically defined human and rodent neurons and glia
Xu, X., Stoyanova, E. I., Patriotis, A. L., Xing, J., Mash, D. C., & Heintz, N. (2018) · eLife · doi:10.7554/elife.37551 · Cited by 90
Self-citationLeong, A. Z.-X., Lee, P. Y., Mohtar, M. A., Syafruddin, S. E., Pung, Y. F., & Low, T. Y. (2022) · Journal of Biomedical Science · doi:10.1186/s12929-022-00802-5 · Cited by 104
Foxg1Has an Essential Role in Postnatal Development of the Dentate Gyrus
Tian, C., Gong, Y., Yang, Y., Shen, W., Wang, K., Liu, J., Xu, B., Zhao, J., & Zhao, C. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5240-11.2012 · Cited by 91
G9a influences neuronal subtype specification in striatum
Maze, I. S., Chaudhury, D., Dietz, D., von Schimmelmann, M. J., Kennedy, P., Lobo, M. K., Daws, S. E., Miller, M. L., Bagot, R. C., Sun, H., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3670 · Cited by 91
Self-citationRapid Molecular Profiling of Defined Cell Types Using Viral TRAP
Nectow, A. R., Moya, M. V., Ekstrand, M. I., Mousa, A., McGuire, K. L., Sferrazza, C. E., Field, B. C., Rabinowitz, G. S., Sawicka, K., Liang, Y., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.03.048 · Cited by 94
Self-citationA limbic circuit selectively links active escape to food suppression
Azevedo, E. P., Tan, B., Pomeranz, L. E., Ivan, V. J., Fetcho, R. N., Schneeberger, M., Doerig, K. R., Liston, C. M., Friedman, J. M., & Stern, S. A. (2020) · eLife · doi:10.7554/elife.58894 · Cited by 92
Chen, H., Chen, C., Kuo, Y.-M., Chen, B., Kuan, I. S., Huang, H., Lee, J., Anthony, N. R., Kuan, C.-Y., & Sun, Y. (2021) · Theranostics · doi:10.7150/thno.64033 · Cited by 96
GABAA receptor subtype involvement in addictive behaviour
Stephens, D. N., King, S. L., Lambert, J. J., Belelli, D., & Duka, T. (2016) · Genes Brain & Behavior · doi:10.1111/gbb.12321 · Cited by 97
Translational profiling of hypocretin neurons identifies candidate molecules for sleep regulationPreprint
Dalal, J. S., Roh, J. H., Maloney, S. E., Akuffo, A., Shah, S., Yuan, H., Wamsley, B., Jones, W. B., Strong, C. D. G., Gray, P. A., et al. (2013) · Genes & Development · doi:10.1101/gad.207654.112 · Cited by 92
Self-citationSystematic approaches to central nervous system myelin
de Monasterio‐Schrader, P., Jahn, O., Tenzer, S., Wichert, S. P., Patzig, J., & Werner, H. B. (2012) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-012-0958-9 · Cited by 96
Boutej, H., Rahimian, R., Thammisetty, S. S., Béland, L., Lalancette–Hébert, M., & Križ, J. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.11.058 · Cited by 96
A Rare Mutation of β1-Adrenergic Receptor Affects Sleep/Wake Behaviors
Shi, G., Xing, L., Wu, D., Bhattacharyya, B. J., Jones, C. R., McMahon, T., Chong, S. Y. C., Chen, J., Coppola, G., Geschwind, D. H., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.026 · Cited by 90
Dougherty, J. D., Maloney, S. E., Wozniak, D. F., Rieger, M. A., Sonnenblick, L. I., Coppola, G., Mahieu, N. G., Zhang, J., Cai, J., Patti, G. J., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4762-12.2013 · Cited by 88
Self-citationMazaré, N., Oudart, M., Moulard, J., Cheung, G. T. Y., Tortuyaux, R., Mailly, P., Mazaud, D., Bemelmans, A., Boulay, A.-C., Blugeon, C., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108076 · Cited by 90
Defining the Microglia Response during the Time Course of Chronic Neurodegeneration
Vincenti, J. E., Murphy, L., Grabert, K., McColl, B. W., Cancellotti, E., Freeman, T. C., & Manson, J. C. (2016) · Journal of Virology · doi:10.1128/jvi.02613-15 · Cited by 88
Muscularis macrophage development in the absence of an enteric nervous system
Avetisyan, M., Rood, J. E., López, S. H., Sengupta, R., Wright-Jin, E. C., Dougherty, J. D., Behrens, E. M., & Heuckeroth, R. O. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802490115 · Cited by 88
Sudmant, P. H., Lee, H., Dominguez, D., Heiman, M., & Burge, C. B. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.094 · Cited by 85
Self-citationGenomic Analyses of Hormone Signaling and Gene Regulation
Cheung, E. C. W., & Kraus, W. L. (2010) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021909-135840 · Cited by 86
Cerebral cortex assembly: generating and reprogramming projection neuron diversity
Lodato, S., Shetty, A. S., & Arlotta, P. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.11.003 · Cited by 100
Dumrongprechachan, V., Salisbury, R., Soto, G., Kumar, M., MacDonald, M. L., & Kozorovitskiy, Y. (2021) · Nature Communications · doi:10.1038/s41467-021-25144-y · Cited by 86
Integrating Neurotransmission in Striatal Medium Spiny Neurons
Girault, J. (2012) · Advances in experimental medicine and biology · doi:10.1007/978-3-7091-0932-8_18 · Cited by 93
Bassoon proteinopathy drives neurodegeneration in multiple sclerosis
Schattling, B., Engler, J. B., Volkmann, C., Rothammer, N., Woo, M. S., Petersen, M., Winkler, I., Kaufmann, M., Rosenkranz, S. C., Fejtova, A., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0385-4 · Cited by 86
Signatures of sex: Sex differences in gene expression in the vertebrate brain
Gegenhuber, B., & Tollkühn, J. (2019) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.348 · Cited by 89
Astrocyte-Specific Expression Patterns Associated with the PDGF-Induced Glioma Microenvironment
Katz, A. M., Amankulor, N., Pitter, K. L., Helmy, K. Y., Squatrito, M., & Holland, E. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032453 · Cited by 89
Beyond the dopamine receptor: regulation and roles of serine/threonine protein phosphatases
Walaas, S. I. (2011) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2011.00050 · Cited by 84
Brain glucose sensing in homeostatic and hedonic regulation
Steinbusch, L. K. M., Labouèbe, G., & Thorens, B. (2015) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2015.06.005 · Cited by 95
Role of Tet1/3 Genes and Chromatin Remodeling Genes in Cerebellar Circuit Formation
Zhu, X., Girardo, D., Govek, E., John, K., Mellén, M., Tamayo, P., Mesirov, J. P., & Hatten, M. E. (2015) · Neuron · doi:10.1016/j.neuron.2015.11.030 · Cited by 80
Chandra, R., Lenz, J. D., Gancarz, A. M., Chaudhury, D., Schroeder, G. L., Han, M., Cheer, J. F., Dietz, D., & Lobo, M. K. (2013) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2013.00013 · Cited by 89
Wu, H., Lai, C., Chang-Panesso, M., & Humphreys, B. D. (2019) · Journal of the American Society of Nephrology · doi:10.1681/asn.2019040337 · Cited by 83
Environmental, genetic and epigenetic contributions to cocaine addiction
Pierce, R. C., Fant, B., Swinford-Jackson, S. E., Heller, E. A., Berrettini, W. H., & Wimmer, M. E. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0008-x · Cited by 85
Shrestha, P., Mousa, A., & Heintz, N. (2015) · eLife · doi:10.7554/elife.08752 · Cited by 84
Self-citationSoma-Targeted Imaging of Neural Circuits by Ribosome Tethering
Chen, Y., Jang, H., Spratt, P. W. E., Kosar, S., Taylor, D. E., Essner, R. A., Bai, L., Leib, D. E., Kuo, T., Lin, Y.-C., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.005 · Cited by 81
The travels of mRNAs in neurons: do they know where they are going?
Das, S., Singer, R. H., & Yoon, Y. J. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.01.016 · Cited by 81
Translational Profiling of Clock Cells Reveals Circadianly Synchronized Protein Synthesis
Huang, Y., Ainsley, J. A., Reijmers, L. G. J. E., & Jackson, F. R. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001703 · Cited by 80
Translational value of animal models of kidney failure
Ortíz, A., Sánchez-Niño, M. D., Izquierdo, M. C., Martín-Cleary, C., García‐Bermejo, L., Moreno, J. A., Ruiz‐Ortega, M., Draibe, J. B., Cruzado, J. M., García-González, M. Á., et al. (2015) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2015.03.026 · Cited by 79
An Excitatory Circuit in the Perioculomotor Midbrain for Non-REM Sleep Control
Zhang, Z., Zhong, P., Hu, F., Barger, Z., Ren, Y., Ding, X., Li, S., Weber, F., Chung, S., Palmiter, R. D., et al. (2019) · Cell · doi:10.1016/j.cell.2019.03.041 · Cited by 81
Nishi, A., & Snyder, G. L. (2010) · Journal of Pharmacological Sciences · doi:10.1254/jphs.10r01fm · Cited by 82
Molecular genetics and imaging technologies for circuit-based neuroanatomy
Arenkiel, B. R., & Ehlers, M. D. (2009) · Nature · doi:10.1038/nature08536 · Cited by 78
Maternal high-fat diet during lactation reprograms the dopaminergic circuitry in mice
Lippert, R. N., Hess, S., Klemm, P., Burgeno, L. M., Jahans-Price, T., Walton, M. E., Kloppenburg, P., & Brüning, J. C. (2020) · Journal of Clinical Investigation · doi:10.1172/jci134412 · Cited by 83
Modified in situ Hybridization Chain Reaction Using Short Hairpin DNAs
Tsuneoka, Y., & Funato, H. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00075 · Cited by 85
Functionally diverse dendritic mRNAs rapidly associate with ribosomes following a novel experience
Ainsley, J. A., Drane, L., Jacobs, J. L., Kittelberger, K. A., & Reijmers, L. G. J. E. (2014) · Nature Communications · doi:10.1038/ncomms5510 · Cited by 77
“Seq-ing” Insights into the Epigenetics of Neuronal Gene Regulation
Telese, F., Gamliel, A., Skowronska‐Krawczyk, D., García-Bassets, I., & Rosenfeld, M. G. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.034 · Cited by 81
Fomchenko, E. I., Dougherty, J. D., Helmy, K. Y., Katz, A. M., Pietras, A., Brennan, C. W., Huse, J. T., Milosevic, A., & Holland, E. C. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020605 · Cited by 75
Translational Profiles of Medullary Myofibroblasts during Kidney Fibrosis
Grgic, I., Krautzberger, A. M., Hofmeister, A. F., Lalli, M. A., DiRocco, D. P., Fleig, S. V., Liu, J., Duffield, J. S., McMahon, A. P., Aronow, B. J., et al. (2014) · Journal of the American Society of Nephrology · doi:10.1681/asn.2013101143 · Cited by 77
Brain Transcriptome Databases: A User's Guide
Keil, J. M., Qalieh, A., & Kwan, K. Y. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1930-17.2018 · Cited by 79
Dendritic Integration of Sensory Evidence in Perceptual Decision-Making
Groschner, L. N., Hak, L. C. W., Bogacz, R., Dasgupta, S., & Miesenböck, G. (2018) · Cell · doi:10.1016/j.cell.2018.03.075 · Cited by 81
Specialized ribosomes and the control of translation
Guo, H. (2018) · Biochemical Society Transactions · doi:10.1042/bst20160426 · Cited by 80
Mérienne, N., Meunier, C., Schneider‐Anthony, A., Séguin, J., Nair, S. S., Rocher, A. B., Gras, S. L., Keime, C., Faull, R. L. M., Pellerin, L., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.003 · Cited by 77
Rosenkranz, S. C., Shaposhnykov, A., Träger, S., Engler, J. B., Witte, M. E., Roth, V., Vieira, V., Paauw, N. J., Bauer, S., Schwencke-Westphal, C., et al. (2021) · eLife · doi:10.7554/elife.61798 · Cited by 80
Linking transcriptomics and proteomics in spermatogenesis
Chalmel, F., & Rolland, A. D. (2015) · Reproduction · doi:10.1530/rep-15-0073 · Cited by 73
Metadata
- Authors
- Heiman, M., Schaefer, A., Gong, S., Peterson, J. D., Day, M., Ramsey, K. E., Suárez-Fariñas, M., Schwarz, C., Stephan, D. A., Surmeier, D. J., Greengard, P., & Heintz, N.
- Affiliations
- Rockefeller University (US)
- Northwestern University (US)
- Translational Genomics Research Institute (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Heintz, Nathaniel
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 135
- Issue
- 4
- Pages
- 738-748
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC2696821
- OpenAlex
- W2150626351
- Cited by
- 1,134
- References
- 59
- Citations by year
- 2026: 28 · 2025: 61 · 2024: 57 · 2023: 65 · 2022: 55 · 2021: 60 · 2020: 79 · 2019: 76 · 2018: 93 · 2017: 76 · 2016: 70 · 2015: 70 · 2014: 97 · 2013: 70 · 2012: 55
- FWCI
- 16.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1755 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (1f32da021487-01)
- National Institute on Aging (AG09464, P01AG009464)
- National Institute of Mental Health (MH-074866, P50MH074866)
- National Institute on Drug Abuse (5F32DA021487, DA10044, P01DA010044, F32 DA021487)
- National Institute of Neurological Disorders and Stroke (NS 34696, R01NS034696, R37NS034696)
- National Center for Research Resources (UL1RR024143)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- translating ribosome affinity purification, polysomal mRNA, neuronal cell types, medium spiny neurons, translational profiling, BAC transgenic mice, cell type-specific gene expression
- MeSH terms
- Animals, Brain, Central Nervous System, Cocaine, Genetic Techniques, Immunohistochemistry, Mice, Transgenic, Models, Biological, Neurons, Ribosomes, Protein Biosynthesis, Dopamine Uptake Inhibitors, Chromosomes, Artificial, Bacterial, Green Fluorescent Proteins, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
