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Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types
Open accessAbstract
Comparative analysis can provide important insights into complex biological systems. As demonstrated in the accompanying paper, translating ribosome affinity purification (TRAP) permits comprehensive studies of translated mRNAs in genetically defined cell populations after physiological perturbations. To establish the generality of this approach, we present translational profiles for 24 CNS cell populations and identify known cell-specific and enriched transcripts for each population. We report thousands of cell-specific mRNAs that were not detected in whole-tissue microarray studies and provide examples that demonstrate the benefits deriving from comparative analysis. To provide a foundation for further biological and in silico studies, we provide a resource of 16 transgenic mouse lines, their corresponding anatomic characterization, and translational profiles for cell types from a variety of central nervous system structures. This resource will enable a wide spectrum of molecular and mechanistic studies of both well-known and previously uncharacterized neural cell populations.
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“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 [93]
Experimental — accuracy not yet measuredIn the citing paper
“We further compared the cerebellar data with cerebellar cell-type-specific microarray data (Doyle et al., 2008), finding a 3- to 5-fold enrichment for astrocyte and Bergmann glia genes and a depletion of other cell types (Figure S1C).”
From The aging astrocyte transcriptome from multiple regions of the mouse brain. (2018) · cites this paper as Doyle et al., 2008
In the citing paper
“Ribo-tag restricts analysis to ribosome-associated mRNAs, which are more likely to be actively being made into proteins, providing a representation of the translational state of the cells, a similar approach to that used by others (Chai et al., 2017; Doyle et al., 2008; Morel et al., 2017).”
From The aging astrocyte transcriptome from multiple regions of the mouse brain. (2018) · cites this paper as Doyle et al., 2008
In the citing paper
“Our adult astrocyte gene expression datasets are in broad agreement with other microarray and RNA-seq profiles of astrocytes from the developing and adult brain (Cahoy et al., 2008; Chai et al., 2017; Doyle et al., 2008; Morel et al., 2017; Zhang et al., 2014).”
From The aging astrocyte transcriptome from multiple regions of the mouse brain. (2018) · cites this paper as Doyle et al., 2008
In the citing paper
“Purifying cell populations or carrying out transcriptional analyses on single cells158–163 can identify important changes that are not apparent in whole-tissue transcriptomes141,142.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [160]
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 Doyle et al., 2008
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A Mathematical Theory of Communication
Shannon, C. E. (1948) · The MIT Press eBooks · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 50,201
The Mathematical Theory of Communication
Shannon, C. E., Weaver, W., & Wiener, N. (1950) · Physics Today · doi:10.1063/1.3067010 · Cited by 9,882
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
Self-citationMaere, S., Heymans, K., & Kuiper, M. T. R. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti551 · Cited by 4,093
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
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-citationA translational profiling approach for the molecular characterization of CNS cell types
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., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.028 · Cited by 1,134
Self-citationThe Neurobiology of Slow Synaptic Transmission
Greengard, P. (2001) · Science · doi:10.1126/science.294.5544.1024 · Cited by 865
Self-citationDARPP-32: An Integrator of Neurotransmission
Svenningsson, P., Nishi, A., Fisone, G., Girault, J., Nairn, A. C., & Greengard, P. (2004) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.44.101802.121415 · Cited by 737
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He, Y., Xu, B., Chen, Y., Xu, L., Xu, L., Chen, Y., & Long, D. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02183-7 · Cited by 6
Groh, A., Meyer, H. S., Schmidt, E. F., Heintz, N., Sakmann, B. J., & Krieger, P. (2009) · Cited by 6
Self-citationMahadevan, V., Peltekian, A., & McBain, C. J. (2020) · Current Protocols in Neuroscience · doi:10.1002/cpns.93 · Cited by 5
Avraham, O., Feng, R., Ewan, E. E., Rustenhoven, J., Zhao, G., & Cavalli, V. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.25.398537 · Cited by 6
Pathological Bergmann glia alterations and disrupted calcium dynamics in ataxic Canavan disease mice
Hull, V. L., Wang, Y., Burns, T., Sternbach, S., Gong, S., McDonough, J. A., Guo, F., Borodinsky, L. N., & Pleasure, D. (2023) · Glia · doi:10.1002/glia.24454 · Cited by 4
Self-citationJin, B., Han, Y., Xu, F., Wang, J., Zhao, Y., Liu, H., Wang, F., Wang, Z., Lu, W., Wang, M., et al. (2024) · The FASEB Journal · doi:10.1096/fj.202400341r · Cited by 4
Podgajna, M., Toczyłowska, B., Owczarek, A., Skweres, A., Ziemińska, E., & Węgrzynowicz, M. (2024) · Neurochemistry International · doi:10.1016/j.neuint.2024.105907 · Cited by 3
Computational neuroanatomy and gene expression: optimal sets of marker genes for brain regions
Grange, P., & Mitra, P. P. (2012) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · doi:10.48550/arxiv.1205.2721 · Cited by 5
Takahashi, Y., Takeuchi, H., Sakai, M., Yu, Z., Kikuchi, Y., Ito, F., Matsuoka, H., Tanabe, O., Yasuda, J., Taki, Y., et al. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12932 · Cited by 4
Cholecystokinin Activation of Cholecystokinin 1 Receptors: a Purkinje Cell Neuroprotective Pathway
Orr, H. T. (2022) · The Cerebellum · doi:10.1007/s12311-022-01428-x · Cited by 4
Mitsi, V., Ruiz, A., Polizu, C., Farzinpour, Z., Ramakrishnan, A., Serafini, R. A., Parise, E. M., Floodstrand, M., Sial, O. K., Gaspari, S., et al. (2024) · Molecular Pharmacology · doi:10.1124/molpharm.123.000753 · Cited by 5
Self-citationReiner, A. J., Medina, L. M., Abellán, A., Deng, Y., Toledo, C. A. B., Luksch, H., Vega‐Zuniga, T., Riley, N. B., Hodos, W., & Karten, H. J. (2024) · The Journal of Comparative Neurology · doi:10.1002/cne.25620 · Cited by 4
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Girault, J., Greengard, P., & Nairn, A. C. (2016) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-802206-1.00029-5 · Cited by 5
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Bernabò, P., Lunelli, L., Quattrone, A., Jousson, O., Lencioni, V., & Viero, G. (2015) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2015.03.011 · Cited by 4
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Dougherty, J. D. (2017) · Scientific Reports · doi:10.1038/s41598-017-08618-2 · Cited by 4
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Bergkamp, D. J., & Neumaier, J. F. (2024) · Glia · doi:10.1002/glia.24584 · Cited by 3
Medrihan, L., Knudsen, M. G., Ferraro, T., Vasques, P. D. C., Romin, Y., Fujisawa, S., Greengard, P., & Milosevic, A. (2025) · The Journal of General Physiology · doi:10.1085/jgp.202413693 · Cited by 6
Self-citationSpatiotemporal Insights Into RNA–Organelle Interactions in Neurons
Kharod, S. C., Hwang, D.-W., Das, S., & Yoon, Y. J. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.663367 · Cited by 3
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Robishaw, J. D. (2012) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-94-007-4765-4_10 · Cited by 3
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Trefier, A., Guillou, F., & Crépieux, P. (2018) · Comptes Rendus Biologies · doi:10.1016/j.crvi.2017.12.002 · Cited by 3
Varela, L., Putnik, G. D., Manupati, V. K., Rajyalakshmi, G., Trojanowska, J., & Machado, J. A. T. (2018) · EAI International Conference on Management of Manufacturing Systems (MMS) · doi:10.4108/eai.6-11-2018.2279362 · Cited by 3
Traubenik, S., Blanco, F. A., Zanetti, M. E., & Reynoso, M. A. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0712-1_26 · Cited by 3
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Kang, S. S., Baker, K. E., Wang, X., Kocher, J.-P., & Fryer, J. D. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/135566 · Cited by 4
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Heintz, N., & Gong, S. (2020) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top097998 · Cited by 3
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Medrihan, L., Knudsen, M. G., Ferraro, T., Vasques, P. D. C., Romin, Y., Fujisawa, S., Greengard, P., & Milosevic, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.20.488950 · Cited by 3
Self-citationCaron, N. S., Fan, J., Ma, D., Yung, A. C., Ko, S., Bale, K., Anderson, C., Kozłowski, P., Pouladi, M. A., Wellington, C. L., et al. (2025) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2025.102710 · Cited by 2
Jeong, H., González‐Fernández, E., Crawley, I., Coakley, J. M., Hwang, J., Martin, D. D. O., Bamji, S. X., Kim, J., Kang, S. H., & Thomas, G. M. (2024) · eLife · doi:10.7554/elife.97151.3 · Cited by 3
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Hashimoto, J. G., Ozburn, A. R., Reed, C. L., Erk, J., Song, Y., Yang, J., Xia, K., Zhang, F., Yu, Y., Fei, S. S., et al. (2026) · Neuropharmacology · doi:10.1016/j.neuropharm.2026.110885 · Cited by 2
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Grange, P., Bohland, J. W., Bokil, H., Nelson, S. B., Okaty, B. W., Sugino, K., Ng, L., Hawrylycz, M., & Mitra, P. P. (2011) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · doi:10.48550/arxiv.1111.6217 · Cited by 3
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Sahoo, P. K., & Twiss, J. L. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-3012-9_8 · Cited by 2
Abdullatef, S., & Farina, C. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1211079 · Cited by 2
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Zhang, X., Lu, Q., Meng, X., & Kim, J. Y. (2024) · STAR Protocols · doi:10.1016/j.xpro.2024.103243 · Cited by 2
Liang, P., Ness, J. N., Rapp, J., Boneva, S., Schwämmle, M. E., Jung, M., Schlunck, G., Agostini, H. T., & Bucher, F. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03223-3 · Cited by 2
Plassmeyer, S. P., Florian, C. P., Chase, R., Kasper, M. J., Mueller, S., Liu, Y., White, K. M., Sierra-Cortez, L., Fischer, A. D., Jungers, C. F., et al. (2025) · Cell Reports Methods · doi:10.1016/j.crmeth.2025.101247 · Cited by 2
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Lin, T. V., & Bordey, A. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-415804-7.00015-0 · Cited by 1
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Xu, X., Nehorai, A., & Dougherty, J. D. (2012) · IEEE International Workshop on Genomic Signal Processing and Statistics · doi:10.1109/gensips.2012.6507737 · Cited by 2
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Jakobs, T. (2014) · Neuromethods · doi:10.1007/978-1-4939-0381-8_6 · Cited by 2
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Farris, S., Dynes, J. L., & Steward, O. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21108-5 · Cited by 2
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Logrip, M. L. (2018) · Alcohol · doi:10.1016/j.alcohol.2018.03.006 · Cited by 2
Goldman, J. E. (2012) · doi:10.1093/med/9780199794591.003.0012 · Cited by 2
Xing, C., Guo, S., Li, W., Deng, W., Ning, M., Lok, J. M., Arai, K., & Lo, E. H. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822546-2.00028-9 · Cited by 2
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Sant, L. J. V., Birkisdóttir, M. B., Ozinga, R. A., Gyenis, Á., Hoeijmakers, J. H. J., Vermeij, W. P., & Jaarsma, D. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1185665 · Cited by 3
Cochran, J. D., Leathers, T. A., Maldosevic, E., Siejda, K., Vitello, J., Lee, H., Bradley, L. A., Young, A., Jomaa, A., & Wolf, M. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-52085-5 · Cited by 2
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Bichell, T. J., Halbesma, T. C., Tipps, K. G., & Bowman, A. B. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804562-6.00013-0 · Cited by 2
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Sun, D. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7407-8_18 · Cited by 3
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Michalovicz, L. T., & O'Callaghan, J. P. (2019) · Neuromethods · doi:10.1007/978-1-4939-9228-7_4 · Cited by 2
Watson, A. J. R., & Frank, M. G. (2013) · SLEEP · doi:10.5665/sleep.3020 · Cited by 2
Alicea, B., Suhr, S. T., & Cibelli, J. B. (2014) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/006213 · Cited by 2
Hiester, B. G. (2012) · CU Scholar (University of Colorado Boulder) · Cited by 2
Ament, S. A., Pearl, J. R., Bragg, R. M., Skene, P. J., Coffey, S. R., Bergey, D. E., Plaisier, C. L., Wheeler, V. C., MacDonald, M. E., Baliga, N. S., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/087114 · Cited by 2
Northcutt, A. J., Kick, D. R., Otopalik, A. G., Goetz, B. M., Harris, R. M., Santin, J. M., Hofmann, H. A., Marder, E. E., & Schulz, D. J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/690388 · Cited by 2
Shrestha, P., Ayata, P., Herrero-Vidal, P., Longo, F., Guilabert, A. G., LeDoux, J. E., Heintz, N., & Klann, E. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/704965 · Cited by 2
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Schaefer, A. (2012) · Research and perspectives in neurosciences · doi:10.1007/978-3-642-27913-3_6 · Cited by 1
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Kim, Y., Kim, T. H., Sreynet, S., Oh, Y., Nam, D., Park, J. B., & Kim, S. S. (2023) · Advanced Therapeutics · doi:10.1002/adtp.202300148 · Cited by 1
Sra, S. K., Akhatar, J., Kaur, S., Atri, C., & Banga, S. S. (2024) · Australian Journal of Agricultural Research · doi:10.1071/cp24160 · Cited by 1
Jafri, S., Ghani, M., Stickle, N. H., Virtanen, C., Hazrati, L., & Visanji, N. P. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1477511 · Cited by 2
Avila‐Gutierrez, K., Monnet, H., Mailly, P., Boulay, A.-C., & Cohen‐Salmon, M. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4366-2_8 · Cited by 1
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Selmanovic, D., & Selmanovic, D. (2026) · Trends in Neurosciences · doi:10.1016/j.tins.2026.01.008 · Cited by 1
Nalepa, M., Skweres, A., & Węgrzynowicz, M. (2026) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2026.05.285 · Cited by 1
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Hashimoto, J. G., Gonzalez, A. E., Gorham, N., Barbour, Z., Roberts, A. J., Day, L. Z., Nedelescu, H., Heal, M., Davis, B. A., Carbone, L., et al. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.106824 · Cited by 2
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Zinter, N., Shah, D., Artot, V., Lemmetti, N., Semaan, H., Soret, R., Pilon, N., Nassif, C., Birling, M., Raja-Ravi-Shankar, A., et al. (2026) · Brain · doi:10.1093/brain/awag294 · Cited by 1
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Satterlee, J. S. (2013) · Epigenetics and human health · doi:10.1007/978-3-642-36827-1_7 · Cited by 1
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Oberdick, J. (2012) · Springer eBooks · doi:10.1007/978-94-007-1333-8_8 · Cited by 1
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Ting, J. T., & Feng, G. (2014) · Neuromethods · doi:10.1007/978-1-4939-1963-5_9 · Cited by 1
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Ding, S. (2016) · Springer series in translational stroke research · doi:10.1007/978-3-319-32337-4_6 · Cited by 1
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Nascimento, J. M., Saia-Cereda, V. M., Zuccoli, G. S., Junqueira, D. G., & Martins‐de‐Souza, D. (2018) · Springer eBooks · doi:10.1007/978-3-319-90695-9_2 · Cited by 1
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Allen, N. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814405-3.00033-3 · Cited by 1
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Khathayer, F. H. (2024) · Maǧallaẗ ǧāmiʿaẗ al-Sulṭān Qābūs li-l-ʿulūm/Sultan Qaboos University journal for science · doi:10.53539/squjs.vol29isspp1-14 · Cited by 1
Mätlik, K., Pressl, C., & Heintz, N. (2025) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-112723-025516 · Cited by 1
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Maret, S., Dauvilliers, Y. A., & Tafti, M. (2017) · Springer eBooks · doi:10.1007/978-1-4939-6578-6_29 · Cited by 1
Ain, Q., Schmeer, C. W., Wengerodt, D., Hofmann, Y., Witte, O. W., & Kretz, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063000 · Cited by 1
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(2009) · Chemical industries · doi:10.1201/9781420059656-p8 · Cited by 1
Sapkota, D., Lake, A. M., Yang, W. C., Yang, C., Wesseling, H., Guise, A. J., Uncu, C., Dalal, J. S., Kraft, A. W., Lee, J., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/324236 · Cited by 1
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Metadata
- Authors
- 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., Gong, S., Greengard, P., & Heintz, N.
- Affiliations
- Howard Hughes Medical Institute (US)
- Rockefeller University (US)
- Corresponding author
- Heintz, Nathaniel
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 135
- Issue
- 4
- Pages
- 749-762
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC2763427
- OpenAlex
- W2115155255
- Cited by
- 912
- References
- 37
- Citations by year
- 2026: 19 · 2025: 39 · 2024: 55 · 2023: 35 · 2022: 50 · 2021: 44 · 2020: 62 · 2019: 55 · 2018: 66 · 2017: 68 · 2016: 48 · 2015: 88 · 2014: 85 · 2013: 60 · 2012: 47
- FWCI
- 12.47
- 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, 1719 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)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- translating ribosome affinity purification, translational profiling, transgenic mouse lines
- MeSH terms
- Animals, Brain, Central Nervous System, Genetic Techniques, Immunohistochemistry, Mice, Transgenic, Models, Biological, Neurons, Ribosomes, Protein Biosynthesis, Reverse Transcriptase Polymerase Chain Reaction, Oligonucleotide Array Sequence Analysis, Chromosomes, Artificial, Bacterial, Green Fluorescent Proteins, Mice
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