A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Open accessAbstract
The Cre/lox system is widely used in mice to achieve cell-type-specific gene expression. However, a strong and universally responding system to express genes under Cre control is still lacking. We have generated a set of Cre reporter mice with strong, ubiquitous expression of fluorescent proteins of different spectra. The robust native fluorescence of these reporters enables direct visualization of fine dendritic structures and axonal projections of the labeled neurons, which is useful in mapping neuronal circuitry, imaging and tracking specific cell populations in vivo. Using these reporters and a high-throughput in situ hybridization platform, we are systematically profiling Cre-directed gene expression throughout the mouse brain in several Cre-driver lines, including new Cre lines targeting different cell types in the cortex. Our expression data are displayed in a public online database to help researchers assess the utility of various Cre-driver lines for cell-type-specific genetic manipulation.
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
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?
Genes whose expression peaks at low maturation score tend to be expressed more highly in the ventricular zone, and as maturation score rank rises expression shifts to the subventricular zone and then to the mantle zone.
“The trend overall shows that genes with peak expression at low MS tend to have higher expression in the VZ, and as MS rank increases the expression pattern shifts to the subventricular zone (SVZ) and then to the MZ”
From Developmental diversification of cortical inhibitory interneurons (2018) · cites this paper as [31]
The authors used many transgenic mouse lines to cover excitatory and inhibitory classes across cortical layers, target rare populations, and connect with other approaches like transcriptomic characterization.
“A diverse set of transgenic mouse lines14–18 were used to ensure broad coverage of excitatory and inhibitory classes across all cortical layers, to enable selective targeting of rare cell populations, and to link our study with other experimental approaches, such as transcriptomic characterization19.”
From Classification of electrophysiological and morphological neuron types in the mouse visual cortex (2019) · cites this paper as [17]
The authors previously established a standardized Cre-reporter system in which transgene expression was driven by a strong, ubiquitous CAG promoter targeted to the Rosa26 locus, expressing fluorescent proteins, calcium sensor GCaMP3, and optogenetic activator ChR2(H134R) and silencers Arch and eNpHR3.0.
“We previously establish a standardized Cre-reporter system in which transgene expression was driven by a strong, ubiquitous CAG promoter targeted to the Rosa26 locus (Madisen et al., 2010; Muzumdar et al., 2007), expressing fluorescent proteins, calcium sensor GCaMP3, and optogenetic activator ChR2(H134R) and silencers Arch and eNpHR3.0 (Madisen et al., 2012; Madisen et al., 2010; Zariwala et al.,”
From Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance (2015) · cites this paper as Madisen et al., 2010
In mice, the Cre/lox recombination system is the most widely used approach to access specific cell types, utilizing gene promoters or loci with specific expression patterns.
“In mice, the Cre/lox recombination system is the most widely used approach to access specific cell types, utilizing gene promoters or loci with specific expression patterns (Gerfen et al., 2013; Gong et al., 2007; Madisen et al., 2010; Taniguchi et al., 2011).”
From Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance (2015) · cites this paper as Madisen et al., 2010
The EGFP reporter line Ai82 exhibited superior cytoplasmic labeling over previous Rosa-CAG reporter Ai3 and Snap25-LSL-2A-GFP.
“The EGFP reporter line (Ai82) exhibited superior cytoplasmic labeling (Fig. 4A) over previous Rosa-CAG reporter Ai3 (Madisen et al., 2010) and Snap25-LSL-2A-GFP (Fig. 1D).”
From Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance (2015) · cites this paper as Madisen et al., 2010
Snap25-LSL-2A-GFP showed stronger GFP fluorescence than the Rosa-CAG based Ai3-EYFP reporter.
“Snap25-LSL-2A-GFP also showed stronger GFP fluorescence than the Rosa-CAG based Ai3-EYFP reporter (Madisen et al., 2010) (data not shown).”
From Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance (2015) · cites this paper as Madisen et al., 2010
These triple Tg mice showed higher selectivity in expression than double Tg Pvalb-2A-Cre;Ai14 mice.
“Importantly, these triple Tg mice showed higher selectivity in expression than double Tg, Pvalb-2A-Cre;Ai14 mice, where Ai14 is a Rosa-CAG based tdTomato reporter line (Madisen et al., 2010).”
From Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance (2015) · cites this paper as Madisen et al., 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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 · see citing works
Self-citationGeneralized lacZ expression with the ROSA26 Cre reporter strain
Soriano, P. (1999) · Nature Genetics · doi:10.1038/5007 · Cited by 5,237 · see citing works
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden, E. S., Zhang, F., Bamberg, E., Nagel, G., & Deisseroth, K. A. (2005) · Nature Neuroscience · doi:10.1038/nn1525 · Cited by 4,831 · see citing works
A global double-fluorescent Cre reporter mouse
Muzumdar, M. D., Tasic, B., Miyamichi, K., Li, L., & Luo, L. (2007) · genesis · doi:10.1002/dvg.20335 · Cited by 3,491 · see citing works
Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus
Srinivas, S., Watanabe, T., Lin, C.-S., William, C. M., Tanabe, Y., Jessell, T. M., & Costantini, F. (2001) · BMC Developmental Biology · doi:10.1186/1471-213x-1-4 · Cited by 3,121 · see citing works
Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP
Feng, G., Mellor, R. H., Bernstein, M., Keller-Peck, C., Nguyen, Q. T., Wallace, M., Nerbonne, J. M., Lichtman, J. W., & Sanes, J. R. (2000) · Neuron · doi:10.1016/s0896-6273(00)00084-2 · Cited by 3,042 · see citing works
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876 · see citing works
Gorski, J. A., Talley, T., Qiu, M. S., Puelles, L., Rubenstein, J. L. R., & Jones, K. R. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-15-06309.2002 · Cited by 1,367 · see citing works
Subregion- and Cell Type–Restricted Gene Knockout in Mouse Brain
Tsien, J. Z., Chen, D. F., Gerber, D., Tom, C., Mercer, E. H., Anderson, D. J., Mayford, M., Kandel, E. R., & Tonegawa, S. (1996) · Cell · doi:10.1016/s0092-8674(00)81826-7 · Cited by 1,280 · see citing works
A new logic for DNA engineering using recombination in Escherichia coli
Zhang, Y., Buchholz, F., Muyrers, J. P. P., & Stewart, A. F. (1998) · Nature Genetics · doi:10.1038/2417 · Cited by 1,225 · see citing works
Szymczak-Workman, A. L., Workman, C. J., Wang, Y., Vignali, K. M., Dilioglou, S., Vanin, E. F., & Vignali, D. A. A. (2004) · Nature Biotechnology · doi:10.1038/nbt957 · Cited by 1,160 · see citing works
NPY/AgRP Neurons Are Essential for Feeding in Adult Mice but Can Be Ablated in Neonates
Luquet, S. H., Perez, F. A., Hnasko, T. S., & Palmiter, R. D. (2005) · Science · doi:10.1126/science.1115524 · Cited by 1,127 · see citing works
Self-citationA Developmental Switch in the Response of DRG Neurons to ETS Transcription Factor Signaling
Hippenmeyer, S., Pecho‐Vrieseling, E., Sigrist, M., Portmann, T., Laengle, C., Ladle, D. R., & Arber, S. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030159 · Cited by 1,059 · see citing works
Zufferey, R., Donello, J. E., Trono, D., & Hope, T. J. (1999) · Journal of Virology · doi:10.1128/jvi.73.4.2886-2892.1999 · Cited by 1,012 · see citing works
Gong, S., Doughty, M., Harbaugh, C. R., Cummins, A., Hatten, M. E., Heintz, N., & Gerfen, C. R. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2707-07.2007 · Cited by 977 · see citing works
Leptin receptor signaling in POMC neurons is required for normal body weight homeostasis
Balthasar, N., Coppari, R., McMinn, J., Liu, S. M., Lee, C. E., Tang, V., Kenny, C. D., McGovern, R. A., Chua, S. C., Elmquist, J. K., et al. (2004) · Neuron · doi:10.1016/j.neuron.2004.06.004 · Cited by 935 · see citing works
Novak, A., Guo, C., Yang, W., Nagy, A., & Lobe, C. G. (2000) · genesis · doi:10.1002/1526-968x(200011/12)28:3/4 · Cited by 841 · see citing works
Advances in fluorescent protein technology
Shaner, N. C., Patterson, G. H., & Davidson, M. W. (2007) · Journal of Cell Science · doi:10.1242/jcs.005801 · Cited by 789 · see citing works
Arenkiel, B. R., Peca, J., Davison, I. G., Feliciano, C., Deisseroth, K., Augustine, G. J., Ehlers, M. D., & Feng, G. (2007) · Neuron · doi:10.1016/j.neuron.2007.03.005 · Cited by 755 · see citing works
Genetic Dissection of Neural Circuits
Luo, L., Callaway, E. M., & Svoboda, K. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.002 · Cited by 754 · see citing works
hGFAP‐cre transgenic mice for manipulation of glial and neuronal function in vivo
Zhuo, L., Theis, M., Álvarez-Maya, I., Brenner, M., Willecke, K., & Messing, A. (2001) · genesis · doi:10.1002/gene.10008 · Cited by 660 · see citing works
Experience-dependent and cell-type-specific spine growth in the neocortex
Holtmaat, A., Wilbrecht, L., Knott, G. W., Welker, E., & Svoboda, K. (2006) · Nature · doi:10.1038/nature04783 · Cited by 631 · see citing works
Atasoy, D., Aponte, Y., Su, H. H., & Sternson, S. M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1954-08.2008 · Cited by 614 · see citing works
Mosaic Analysis with Double Markers in Mice
Zong, H., Espinosa, J. S., Su, H. H., Muzumdar, M. D., & Luo, L. (2005) · Cell · doi:10.1016/j.cell.2005.02.012 · Cited by 586 · see citing works
Molecular taxonomy of major neuronal classes in the adult mouse forebrain
Sugino, K., Hempel, C. M., Miller, M. N., Hattox, A. M., Shapiro, P., Wu, C., Huang, Z. J., & Nelson, S. B. (2006) · Nature Neuroscience · doi:10.1038/nn1618 · Cited by 521 · see citing works
Kellendonk, C., Simpson, E. H., Polan, H. J., Malleret, G., Vronskaya, S., Winiger, V., Moore, H., & Kandel, E. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.023 · Cited by 520 · see citing works
Transgenic inhibition of synaptic transmission reveals role of CA3 output in hippocampal learning
Nakashiba, T., Young, J. Z., McHugh, T. J., Buhl, D. L., & Tonegawa, S. (2008) · Science · doi:10.1126/science.1151120 · Cited by 492 · see citing works
Genomic anatomy of the hippocampus
Thompson, C. L., Pathak, S. D., Jeromin, A., Ng, L. L., MacPherson, C. R., Mortrud, M. T., Cusick, A., Riley, Z. L., Sunkin, S. M., Bernard, A., et al. (2008) · Neuron · doi:10.1016/j.neuron.2008.12.008 · Cited by 403 · see citing works
Self-citationHigh-Efficiency FLP and ΦC31 Site-Specific Recombination in Mammalian Cells
Raymond, C. S., & Soriano, P. M. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000162 · Cited by 385 · see citing works
Lewis, P. M., Gritli-Linde, A., Smeyne, R. J., Kottmann, A. H., & McMahon, A. P. (2004) · Developmental Biology · doi:10.1016/j.ydbio.2004.03.007 · Cited by 379 · see citing works
Targeted gene expression in dopamine and serotonin neurons of the mouse brain
Zhuang, X., Masson, J., Gingrich, J. A., Rayport, S., & Hen, R. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.09.020 · Cited by 316 · see citing works
Developmental and adult phenotyping directly from mutant embryonic stem cells
George, S. H. L., Gertsenstein, M., Vintersten, K., Korets-Smith, E., Murphy, J. T., Stevens, M. E., Haigh, J. J., & Nagy, A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609277104 · Cited by 267 · see citing works
Targeted bulk-loading of fluorescent indicators for two-photon brain imaging in vivo
Garaschuk, O., Milos, R., & Konnerth, A. (2006) · Nature Protocols · doi:10.1038/nprot.2006.58 · Cited by 235 · see citing works
Mouse cortical inhibitory neuron type that coexpresses somatostatin and calretinin
Xu, X., Roby, K. D., & Callaway, E. M. (2006) · The Journal of Comparative Neurology · doi:10.1002/cne.21101 · Cited by 185 · see citing works
CaMKII?-cre transgene expression and recombination patterns in the mouse brain
Dragatsis, I., & Zeitlin, S. O. (2000) · genesis · doi:10.1002/(sici)1526-968x(200002)26:2 · Cited by 171 · see citing works
Kuhlman, S. J., & Huang, Z. J. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002005 · Cited by 171 · see citing works
Neuroinformatics for Genome-Wide 3-D Gene Expression Mapping in the Mouse Brain
Ng, L., Pathak, D. S., Kuan, C. L., Lau, C. C., Dong, H., Sodt, A., Dang, C., Avants, B., Yushkevich, P. A., Gee, J. C., et al. (2007) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2007.1035 · Cited by 125 · see citing works
Self-citationExploration and visualization of gene expression with neuroanatomy in the adult mouse brain
Lau, C. C., Ng, L., Thompson, C. L., Pathak, D. S., Kuan, L., Jones, A., & Hawrylycz, M. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-153 · Cited by 102 · see citing works
Self-citationPostnatal development of the dopamine transporter: a quantitative autoradiographic study
Coulter, C. L., Happe, H. K., & Murrin, L. C. (1996) · Developmental Brain Research · doi:10.1016/0165-3806(96)00004-1 · Cited by 99 · see citing works
Rapid and Reversible Chemical Inactivation of Synaptic Transmission in Genetically Targeted Neurons
Karpova, A. Y., Tervo, D. G. R., Gray, N. W., & Svoboda, K. (2005) · Neuron · doi:10.1016/j.neuron.2005.11.015 · Cited by 98 · see citing works
Visualizing circuits and systems using transgenic reporters of neural activity
Barth, A. L. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.10.003 · Cited by 94 · see citing works
Genetically-Directed, Cell Type-Specific Sparse Labeling for the Analysis of Neuronal Morphology
Rotolo, T., Smallwood, P. M., Williams, J., & Nathans, J. (2008) · PLoS ONE · doi:10.1371/journal.pone.0004099 · Cited by 76 · see citing works
Deletion of GAD67 in dopamine receptor‐1 expressing cells causes specific motor deficits
Heusner, C. L., Beutler, L. R., Houser, C. R., & Palmiter, R. D. (2008) · genesis · doi:10.1002/dvg.20405 · Cited by 46 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- [28]Dong HW The Allen Reference Atlas: a Digital Color Brain Atlas of the C57BL/6J Male Mouse John Wiley & Sons 2008
- [45]Tsai PS Frostig RD Principle, design and construction of a two photon laser-scanning microscope for in vitro and in vivo brain imaging In vivo optical imaging of brain function 113 172 CRC Press 2002
Cited by
Sorted by citations
Molecular Architecture of the Mouse Nervous System
Zeisel, A., Hochgerner, H., Lönnerberg, P., Johnsson, A., Memic, F., van der Zwan, J., Häring, M., Braun, E., Borm, L. E., La Manno, G., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.021 · Cited by 2,995 · see citing works
Hashimoto, D., Chow, A., Noizat, C., Teo, P., Beasley, M. B., Leboeuf, M., Becker, C. D., See, P., Price, J., Lucas, D., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.04.004 · Cited by 2,311 · see citing works
CRISPR-Cas9 Knockin Mice for Genome Editing and Cancer Modeling
Platt, R. J., Chen, S., Zhou, Y., Yim, M. J., Swiech, L., Kempton, H. R., Dahlman, J. E., Parnas, O., Eisenhaure, T. M., Jovanovic, M., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.014 · Cited by 2,001 · see citing works
A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex
Taniguchi, H., He, M., Wu, P., Kim, S., Paik, R., Sugino, K., Kvitsani, D., Fu, Y., Lu, J., Lin, Y., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.026 · Cited by 1,828 · see citing works
Optogenetics in neural systems
Yizhar, O., Fenno, L. E., Davidson, T. J., Mogri, M., & Deisseroth, K. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.004 · Cited by 1,881 · see citing works
Astrocyte scar formation aids central nervous system axon regeneration
Anderson, M. A., Burda, J. E., Ren, Y., Ao, Y., O’Shea, T. M., Kawaguchi, R., Coppola, G., Khakh, B. S., Deming, T. J., & Sofroniew, M. V. (2016) · Nature · doi:10.1038/nature17623 · Cited by 1,851 · see citing works
Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
Tasic, B., Menon, V., Nguyen, T. N., Kim, T. K., Jarsky, T., Yao, Z., Levi, B., Gray, L. T., Sorensen, S. A., Dolbeare, T., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4216 · Cited by 1,714 · see citing works
Self-citationA toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398 · see citing works
Self-citationPfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353 · see citing works
Revisiting Cardiac Cellular Composition
Pinto, A. R., Ilinykh, A., Ivey, M. J., Kuwabara, J. T., D’Antoni, M. L., Debuque, R., Chandran, A., Wang, L., Arora, K., Rosenthal, N. A., et al. (2016) · Circulation Research · doi:10.1161/circresaha.115.307778 · Cited by 1,400 · see citing works
Zhou, B. O., Yue, R., Murphy, M. M., Peyer, J. G., & Morrison, S. J. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.06.008 · Cited by 1,381 · see citing works
Mederacke, I., Hsu, C. C., Troeger, J. S., Huebener, P., Mu, X., Dapito, D. H., Pradere, J.-P., & Schwabe, R. F. (2013) · Nature Communications · doi:10.1038/ncomms3823 · Cited by 1,443 · see citing works
Lipid-associated macrophages control metabolic homeostasis in a Trem2-dependent manner
Jaitin, D. A., Adlung, L., Thaiss, C. A., Weiner, A., Li, B., Descamps, H., Lundgren, P., Bleriot, C., Liu, Z., Deczkowska, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.05.054 · Cited by 1,377 · see citing works
Madisen, L., Garner, A. R., Shimaoka, D., Chuong, A. S., Klapoetke, N. C., Li, L., van der Bourg, A., Niino, Y., Egolf, L., Monetti, C., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.022 · Cited by 1,114 · see citing works
Self-citationIn vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration
Suzuki, K., Tsunekawa, Y., Hernandez-Benitez, R., Wu, J., Zhu, J., Kim, E. J., Hatanaka, F., Yamamoto, M., Araoka, T., Li, Z., et al. (2016) · Nature · doi:10.1038/nature20565 · Cited by 1,150 · see citing works
A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation
Yao, Z., van Velthoven, C. T. J., Nguyen, T. N., Goldy, J., Sedeno-Cortes, A. E., Baftizadeh, F., Bertagnolli, D., Casper, T., Chiang, M., Crichton, K., et al. (2021) · Cell · doi:10.1016/j.cell.2021.04.021 · Cited by 1,065 · see citing works
Self-citationA high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
Yao, Z., van Velthoven, C. T. J., Kunst, M., Zhang, M., McMillen, D., Lee, C., Jung, W., Goldy, J., Abdelhak, A., Aitken, M., et al. (2023) · Nature · doi:10.1038/s41586-023-06812-z · Cited by 1,194 · see citing works
Self-citationComprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
Shekhar, K., Lapan, S. W., Whitney, I. E., Tran, N. M., Macosko, E. Z., Kowalczyk, M., Adiconis, X., Levin, J. Z., Nemesh, J., Goldman, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.054 · Cited by 1,176 · see citing works
Van Hove, H., Martens, L., Scheyltjens, I., De Vlaminck, K., Pombo Antunes, A. R., De Prijck, S., Vandamme, N., De Schepper, S., Van Isterdael, G., Scott, C. L., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0393-4 · Cited by 1,160 · see citing works
Circuit architecture of VTA dopamine neurons revealed by systematic input-output mapping
Beier, K. T., Steinberg, E. E., DeLoach, K. E., Xie, S., Miyamichi, K., Schwarz, L., Gao, X. J., Kremer, E. J., Malenka, R. C., & Luo, L. (2015) · Cell · doi:10.1016/j.cell.2015.07.015 · Cited by 1,068 · see citing works
In vivo gene editing in dystrophic mouse muscle and muscle stem cells
Tabebordbar, M., Zhu, K., Cheng, J. K. W., Chew, W. L., Widrick, J. J., Yan, W. X., Maesner, C., Wu, E. Y., Xiao, R., Ran, F. A., et al. (2016) · Science · doi:10.1126/science.aad5177 · Cited by 1,046 · see citing works
A Cortical Circuit for Gain Control by Behavioral State
Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P. (2014) · Cell · doi:10.1016/j.cell.2014.01.050 · Cited by 937 · see citing works
“By crossing Ai14 (Cre-dependent TdTomato reporter) mice with vasoactive intestinal peptide (VIP)-Cre mice (Madisen et al., 2010; Taniguchi et al., 2011), we labeled VIP-positive GABAergic neurons genetically.”
BackgroundThe bone marrow microenvironment at single-cell resolution
Tikhonova, A. N., Dolgalev, I., Hu, H., Sivaraj, K. K., Hoxha, E., Cuesta-Domínguez, Á., Pinho, S., Akhmetzyanova, I., Gao, J., Witkowski, M., et al. (2019) · Nature · doi:10.1038/s41586-019-1104-8 · Cited by 936 · see citing works
The hippocampal CA2 region is essential for social memory
Hitti, F. L., & Siegelbaum, S. A. (2014) · Nature · doi:10.1038/nature13028 · Cited by 976 · see citing works
Daigle, T. L., Madisen, L., Hage, T. A., Valley, M. T., Knoblich, U., Larsen, R. S., Takeno, M. M., Huang, L., Gu, H., Larsen, R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.035 · Cited by 817 · see citing works
Self-citationHenderson, N. C., Arnold, T. D., Katamura, Y., Giacomini, M. M., Rodriguez, J. D., McCarty, J. H., Pellicoro, A., Raschperger, E., Betsholtz, C., Ruminski, P. G., et al. (2013) · Nature Medicine · doi:10.1038/nm.3282 · Cited by 866 · see citing works
Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system
Sunkin, S. M., Ng, L., Lau, C., Dolbeare, T., Gilbert, T. L., Thompson, C. L., Hawrylycz, M., & Dang, C. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1042 · Cited by 796 · see citing works
Self-citationHambright, W. S., Fonseca, R. S., Chen, L., Na, R., & Ran, Q. (2017) · Redox Biology · doi:10.1016/j.redox.2017.01.021 · Cited by 851 · see citing works
Long-Term Expansion of Functional Mouse and Human Hepatocytes as 3D Organoids
Hu, H., Gehart, H., Artegiani, B., LÖpez-Iglesias, C., Dekkers, F., Basak, O., van Es, J., Chuva de Sousa Lopes, S. M., Begthel, H., Korving, J., et al. (2018) · Cell · doi:10.1016/j.cell.2018.11.013 · Cited by 837 · see citing works
Distinct stem cells contribute to mammary gland development and maintenance
Van Keymeulen, A., Rocha, A. S., Ousset, M., Beck, B., Bouvencourt, G., Rock, J., Sharma, N., Dekoninck, S., & Blanpain, C. (2011) · Nature · doi:10.1038/nature10573 · Cited by 854 · see citing works
Molecular diversity of midbrain development in mouse, human, and stem cells
La Manno, G., Gyllborg, D., Codeluppi, S., Nishimura, K., Salto, C., Zeisel, A., Borm, L. E., Stott, S. R. W., Toledo, E. M., Villaescusa, J. C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.027 · Cited by 835 · see citing works
Lavine, K. J., Epelman, S., Uchida, K., Weber, K. J., Nichols, C. G., Schilling, J. D., Ornitz, D. M., Randolph, G. J., & Mann, D. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1406508111 · Cited by 818 · see citing works
Cytosine base editor generates substantial off-target single-nucleotide variants in mouse embryos
Zuo, E., Sun, Y., Wei, W., Yuan, T., Ying, W., Sun, H., Yuan, L., Steinmetz, L. M., Li, Y., & Yang, H. (2019) · Science · doi:10.1126/science.aav9973 · Cited by 782 · see citing works
Equalizing excitation-inhibition ratios across visual cortical neurons
Xue, M., Atallah, B. V., & Scanziani, M. (2014) · Nature · doi:10.1038/nature13321 · Cited by 722 · see citing works
Hezaveh, K., Shinde, R. S., Klötgen, A., Halaby, M. J., Lamorte, S., Ciudad, M. T., Quevedo, R., Neufeld, L., Liu, Z. Q., Jin, R., et al. (2022) · Immunity · doi:10.1016/j.immuni.2022.01.006 · Cited by 746 · see citing works
Guenthner, C. J., Miyamichi, K., Yang, H. H., Heller, H. C., & Luo, L. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.025 · Cited by 705 · see citing works
A Network of Macrophages Supports Mitochondrial Homeostasis in the Heart
Nicolás-Ávila, J. A., Lechuga-Vieco, A. V., Esteban-Martínez, L., Sánchez-Díaz, M., Díaz-García, E., Santiago, D. J., Rubio-Ponce, A., Li, J. L., Balachander, A., Quintana, J. A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.031 · Cited by 762 · see citing works
Self-citationViral-genetic tracing of the input-output organization of a central noradrenaline circuit
Schwarz, L. A., Miyamichi, K., Gao, X. J., Beier, K. T., Weissbourd, B., DeLoach, K. E., Ren, J., Ibanes, S., Malenka, R. C., Kremer, E. J., et al. (2015) · Nature · doi:10.1038/nature14600 · Cited by 744 · see citing works
Interconversion Between Intestinal Stem Cell Populations in Distinct Niches
Takeda, N., Jain, R., LeBoeuf, M. R., Wang, Q., Lu, M. M., & Epstein, J. A. (2011) · Science · doi:10.1126/science.1213214 · Cited by 742 · see citing works
Cellular mechanisms of brain state-dependent gain modulation in visual cortex
Polack, P.-O., Friedman, J., & Golshani, P. (2013) · Nature Neuroscience · doi:10.1038/nn.3464 · Cited by 628 · see citing works
Lipid Nanoparticle Assisted mRNA Delivery for Potent Cancer Immunotherapy
Oberli, M. A., Reichmuth, A. M., Dorkin, J. R., Mitchell, M. J., Fenton, O. S., Jaklenec, A., Anderson, D. G., Langer, R., & Blankschtein, D. (2017) · Nano Letters · doi:10.1021/acs.nanolett.6b03329 · Cited by 719 · see citing works
Zhao, S., Ting, J. T., Atallah, H. E., Qiu, L., Tan, J., Gloss, B., Augustine, G. J., Deisseroth, K., Luo, M., Graybiel, A. M., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1668 · Cited by 653 · see citing works
A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo
Diez-Roux, G., Banfi, S., Sultan, M., Geffers, L., Anand, S., Rozado, D., Magen, A., Canidio, E., Pagani, M., Peluso, I., et al. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1000582 · Cited by 638 · see citing works
Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex
Kerlin, A. M., Andermann, M. L., Berezovskii, V. K., & Reid, R. C. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.002 · Cited by 613 · see citing works
Tran, N. M., Shekhar, K., Whitney, I. E., Jacobi, A., Benhar, I., Hong, G., Yan, W., Adiconis, X., Arnold, M. E., Lee, J. M., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.11.006 · Cited by 627 · see citing works
Development and plasticity of the primary visual cortex
Espinosa, J. S., & Stryker, M. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.009 · Cited by 672 · see citing works
CRH Engagement of the Locus Coeruleus Noradrenergic System Mediates Stress-Induced Anxiety
McCall, J. G., Al-Hasani, R., Siuda, E. R., Hong, D. Y., Norris, A. J., Ford, C. P., & Bruchas, M. R. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.002 · Cited by 666 · see citing works
Parvalbumin-expressing interneurons linearly transform cortical responses to visual stimuli
Atallah, B. V., Bruns, W., Carandini, M., & Scanziani, M. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.013 · Cited by 612 · see citing works
Gerfen, C. R., Paletzki, R., & Heintz, N. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.016 · Cited by 647 · see citing works
A Multifunctional AAV-CRISPR-Cas9 and Its Host Response
Chew, W. L., Tabebordbar, M., Cheng, J. K. W., Mali, P., Wu, E. Y., Ng, A. H. M., Zhu, K., Wagers, A. J., & Church, G. M. (2016) · Nature Methods · doi:10.1038/nmeth.3993 · Cited by 617 · see citing works
Gating of social reward by oxytocin in the ventral tegmental area
Hung, L. W., Neuner, S., Polepalli, J. S., Beier, K. T., Wright, M., Walsh, J. J., Lewis, E. M., Luo, L., Deisseroth, K., Dölen, G., et al. (2017) · Science · doi:10.1126/science.aan4994 · Cited by 578 · see citing works
Bonnardel, J., T’Jonck, W., Gaublomme, D., Browaeys, R., Scott, C. L., Martens, L., Vanneste, B., De Prijck, S., Nedospasov, S. A., Kremer, A., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.08.017 · Cited by 631 · see citing works
Identification of Spinal Circuits Transmitting and Gating Mechanical Pain
Duan, B., Cheng, L., Bourane, S., Britz, O., Padilla, C., Garcia-Campmany, L., Krashes, M., Knowlton, W., Velasquez, T., Ren, X., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.003 · Cited by 582 · see citing works
Single-nucleus and single-cell transcriptomes compared in matched cortical cell types
Bakken, T. E., Hodge, R. D., Miller, J. A., Yao, Z., Nguyen, T. N., Aevermann, B., Barkan, E., Bertagnolli, D., Casper, T., Dee, N., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0209648 · Cited by 608 · see citing works
Self-citationKobayashi, Y., Tata, A., Konkimalla, A., Katsura, H., Lee, R. F., Ou, J., Banovich, N. E., Kropski, J. A., & Tata, P. R. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0542-8 · Cited by 559 · see citing works
Targeting cells with single vectors using multiple-feature Boolean logic
Fenno, L. E., Mattis, J., Ramakrishnan, C., Hyun, M., Lee, S. Y., He, M., Tucciarone, J., Selimbeyoglu, A., Berndt, A., Grosenick, L., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2996 · Cited by 557 · see citing works
Neuronal regulation of type 2 innate lymphoid cells via neuromedin U
Cardoso, V., Chesné, J., Ribeiro, H., García-Cassani, B., Carvalho, T., Bouchery, T., Shah, K., Barbosa-Morais, N. L., Harris, N., & Veiga-Fernandes, H. (2017) · Nature · doi:10.1038/nature23469 · Cited by 592 · see citing works
Dopaminergic neurons inhibit striatal output through non-canonical release of GABA
Tritsch, N. X., Ding, J. B., & Sabatini, B. L. (2012) · Nature · doi:10.1038/nature11466 · Cited by 576 · see citing works
Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells
Gouwens, N. W., Sorensen, S. A., Baftizadeh, F., Budzillo, A., Lee, B. R., Jarsky, T., Alfiler, L., Baker, K., Barkan, E., Berry, K., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.057 · Cited by 538 · see citing works
Tetteh, P. W., Basak, O., Farin, H. F., Wiebrands, K., Kretzschmar, K., Begthel, H., van den Born, M., Korving, J., de Sauvage, F., van Es, J. H., et al. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.01.001 · Cited by 575 · see citing works
Davalos, D., Kyu Ryu, J., Merlini, M., Baeten, K. M., Le Moan, N., Petersen, M. A., Deerinck, T. J., Smirnoff, D. S., Bedard, C., Hakozaki, H., et al. (2012) · Nature Communications · doi:10.1038/ncomms2230 · Cited by 568 · see citing works
Huang, Y., Xu, Z., Xiong, S., Sun, F., Qin, G., Hu, G., Wang, J., Zhao, L., Liang, Y.-X., Wu, T., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0090-8 · Cited by 560 · see citing works
Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation
Harris, J. A., Hirokawa, K. E., Sorensen, S. A., Gu, H., Mills, M., Ng, L. L., Bohn, P., Mortrud, M., Ouellette, B., Kidney, J., et al. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00076 · Cited by 485 · see citing works
Self-citationDevelopmental diversification of cortical inhibitory interneurons
Mayer, C., Hafemeister, C., Bandler, R. C., Machold, R., Batista Brito, R., Jaglin, X., Allaway, K., Butler, A., Fishell, G., & Satija, R. (2018) · Nature · doi:10.1038/nature25999 · Cited by 492 · see citing works
Astrocytic neuroligins control astrocyte morphogenesis and synaptogenesis
Stogsdill, J. A., Ramirez, J., Liu, D., Kim, Y. H., Baldwin, K. T., Enustun, E., Ejikeme, T., Ji, R.-R., & Eroglu, C. (2017) · Nature · doi:10.1038/nature24638 · Cited by 506 · see citing works
Classification of electrophysiological and morphological neuron types in the mouse visual cortex
Gouwens, N. W., Sorensen, S. A., Berg, J., Lee, C., Jarsky, T., Ting, J., Sunkin, S. M., Feng, D., Anastassiou, C. A., Barkan, E., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0417-0 · Cited by 456 · see citing works
Self-citationChen, L., Hambright, W. S., Na, R., & Ran, Q. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.680090 · Cited by 498 · see citing works
Hofer, S. B., Ko, H., Pichler, B., Vogelstein, J., Ros, H., Zeng, H., Lein, E., Lesica, N. A., & Mrsic-Flogel, T. D. (2011) · Nature Neuroscience · doi:10.1038/nn.2876 · Cited by 470 · see citing works
Self-citationCapillary cell-type specialization in the alveolus
Gillich, A., Zhang, F., Farmer, C. G., Travaglini, K. J., Tan, S. Y., Gu, M., Zhou, B., Feinstein, J. A., Krasnow, M. A., & Metzger, R. J. (2020) · Nature · doi:10.1038/s41586-020-2822-7 · Cited by 490 · see citing works
Local generation of glia is a major astrocyte source in postnatal cortex
Ge, W.-P., Miyawaki, A., Gage, F. H., Jan, Y. N., & Jan, L. Y. (2012) · Nature · doi:10.1038/nature10959 · Cited by 507 · see citing works
Basal forebrain circuit for sleep-wake control
Xu, M., Chung, S., Zhang, S., Zhong, P., Ma, C., Chang, W.-C., Weissbourd, B., Sakai, N., Luo, L., Nishino, S., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4143 · Cited by 514 · see citing works
Differentiated kidney epithelial cells repair injured proximal tubule
Kusaba, T., Lalli, M., Kramann, R., Kobayashi, A., & Humphreys, B. D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1310653110 · Cited by 476 · see citing works
Experience-dependent modification of a central amygdala fear circuit
Li, H., Penzo, M. A., Taniguchi, H., Kopec, C. D., Huang, Z. J., & Li, B. (2013) · Nature Neuroscience · doi:10.1038/nn.3322 · Cited by 497 · see citing works
Developmental origin, functional maintenance and genetic rescue of osteoclasts
Jacome-Galarza, C. E., Percin, G. I., Muller, J. T., Mass, E., Lazarov, T., Eitler, J., Rauner, M., Yadav, V. K., Crozet, L., Bohm, M., et al. (2019) · Nature · doi:10.1038/s41586-019-1105-7 · Cited by 475 · see citing works
Anatomically defined and functionally distinct dorsal raphe serotonin sub-systems
Ren, J., Friedmann, D., Xiong, J., Liu, C. D., Ferguson, B. R., Weerakkody, T., DeLoach, K. E., Ran, C., Pun, A., Sun, Y., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.043 · Cited by 498 · see citing works
Cell type–specific mRNA purification by translating ribosome affinity purification (TRAP)
Heiman, M., Kulicke, R., Fenster, R. J., Greengard, P., & Heintz, N. (2014) · Nature Protocols · doi:10.1038/nprot.2014.085 · Cited by 498 · see citing works
Serotonin engages an anxiety and fear-promoting circuit in the extended amygdala
Marcinkiewcz, C. A., Mazzone, C. M., D’Agostino, G., Halladay, L. R., Hardaway, J. A., DiBerto, J. F., Navarro, M., Burnham, N., Cristiano, C., Dorrier, C. E., et al. (2016) · Nature · doi:10.1038/nature19318 · Cited by 456 · see citing works
Functional specialization of mouse higher visual cortical areas
Andermann, M. L., Kerlin, A. M., Roumis, D. K., Glickfeld, L. L., & Reid, R. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.11.013 · Cited by 406 · see citing works
Spiegel, I., Mardinly, A. R., Gabel, H. W., Bazinet, J. E., Couch, C. H., Tzeng, C. P., Harmin, D. A., & Greenberg, M. E. (2014) · Cell · doi:10.1016/j.cell.2014.03.058 · Cited by 416 · see citing works
Kim, Y., Yang, G. R., Pradhan, K., Venkataraju, K. U., Bota, M., García del Molino, L. C., Fitzgerald, G., Ram, K., He, M., Levine, J. M., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.020 · Cited by 389 · see citing works
Agarwal, A., Wu, P.-H., Hughes, E. G., Fukaya, M., Tischfield, M. A., Langseth, A. J., Wirtz, D., & Bergles, D. E. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.034 · Cited by 441 · see citing works
Membrane potential correlates of sensory perception in mouse barrel cortex
Sachidhanandam, S., Sreenivasan, V., Kyriakatos, A., Kremer, Y., & Petersen, C. C. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3532 · Cited by 384 · see citing works
Microglia turnover with aging and in an Alzheimer’s model via long-term in vivo single-cell imaging
Füger, P., Hefendehl, J. K., Veeraraghavalu, K., Wendeln, A.-C., Schlosser, C., Obermüller, U., Wegenast-Braun, B. M., Neher, J. J., Martus, P., Kohsaka, S., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4631 · Cited by 401 · see citing works
Osteoclasts recycle via osteomorphs during RANKL-stimulated bone resorption
McDonald, M. M., Khoo, W. H., Ng, P. Y., Xiao, Y., Zamerli, J., Thatcher, P., Kyaw, W., Pathmanandavel, K., Grootveld, A. K., Moran, I., et al. (2021) · Cell · doi:10.1016/j.cell.2021.02.002 · Cited by 433 · see citing works
Sensory neuron diversity in the inner ear is shaped by activity
Shrestha, B. R., Chia, C., Wu, L., Kujawa, S. G., Liberman, M. C., & Goodrich, L. V. (2018) · Cell · doi:10.1016/j.cell.2018.07.007 · Cited by 432 · see citing works
Small-Molecule-Driven Direct Reprogramming of Mouse Fibroblasts into Functional Neurons.
Li, X., Zuo, X., Jing, J., Ma, Y., Wang, J., Liu, D., Zhu, J., Du, X., Xiong, L., Du, Y., et al. (2015) · Cell Stem Cell · doi:10.1016/j.stem.2015.06.003 · Cited by 428 · see citing works
Oligodendrocyte-Encoded HIF Function Couples Postnatal Myelination and White Matter Angiogenesis
Yuen, T. J., Silbereis, J. C., Griveau, A., Chang, S. M., Daneman, R., Fancy, S. P. J., Zahed, H., Maltepe, E., & Rowitch, D. H. (2014) · Cell · doi:10.1016/j.cell.2014.04.052 · Cited by 433 · see citing works
Thirst-associated preoptic neurons encode an aversive motivational drive.
Allen, W. E., DeNardo, L. A., Chen, M. Z., Liu, C. D., Loh, K. M., Fenno, L. E., Ramakrishnan, C., Deisseroth, K., & Luo, L. (2017) · Science · doi:10.1126/science.aan6747 · Cited by 390 · see citing works
A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex
Yao, Z., Liu, H., Xie, F., Fischer, S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Bartlett, A., Behrens, M. M., Van den Berge, K., et al. (2021) · Nature · doi:10.1038/s41586-021-03500-8 · Cited by 398 · see citing works
Self-citationHong, W., Kim, D.-W., & Anderson, D. J. (2014) · Cell · doi:10.1016/j.cell.2014.07.049 · Cited by 405 · see citing works
Hematopoietic Stem Cells Are the Major Source of Multilineage Hematopoiesis in Adult Animals
Sawai, C. M., Babovic, S., Upadhaya, S., Knapp, D. J. H. F., Lavin, Y., Lau, C. M., Goloborodko, A., Feng, J., Fujisaki, J., Ding, L., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.08.007 · Cited by 381 · see citing works
Staahl, B. T., Benekareddy, M., Coulon-Bainier, C., Banfal, A. A., Floor, S. N., Sabo, J. K., Urnes, C., Munares, G. A., Ghosh, A., & Doudna, J. A. (2017) · Nature Biotechnology · doi:10.1038/nbt.3806 · Cited by 355 · see citing works
Direct neuronal glucose uptake heralds activity-dependent increases in cerebral metabolism
Lundgaard, I., Li, B., Xie, L., Kang, H., Sanggaard, S., Haswell, J. D. R., Sun, W., Goldman, S., Blekot, S., Nielsen, M., et al. (2015) · Nature Communications · doi:10.1038/ncomms7807 · Cited by 381 · see citing works
Lee, B., Lee, K., Panda, S., Gonzales-Rojas, R., Chong, A., Bugay, V., Park, H. M., Brenner, R., Murthy, N., & Lee, H. Y. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0252-8 · Cited by 361 · see citing works
Oxytocin enhances social recognition by modulating cortical control of early olfactory processing
Oettl, L.-L., Ravi, N., Schneider, M., Scheller, M. F., Schneider, P., Mitre, M., da Silva Gouveia, M., Froemke, R. C., Chao, M. V., Young, W. S., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.033 · Cited by 359 · see citing works
Defining midbrain dopaminergic neuron diversity by single-cell gene expression profiling
Poulin, J.-F., Zou, J., Drouin-Ouellet, J., Kim, K.-Y. A., Cicchetti, F., & Awatramani, R. B. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.10.008 · Cited by 352 · see citing works
Distinct contribution of adult-born hippocampal granule cells to context encoding
Danielson, N. B., Kaifosh, P., Zaremba, J. D., Lovett-Barron, M., Tsai, J., Denny, C. A., Balough, E. M., Goldberg, A. R., Drew, L. J., Hen, R., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.019 · Cited by 352 · see citing works
Distinct subpopulations of nucleus accumbens dynorphin neurons drive aversion and reward
Al-Hasani, R., McCall, J. G., Shin, G., Gomez, A. M., Schmitz, G. P., Bernardi, J. M., Pyo, C.-O., Park, S. I., Marcinkiewcz, C. M., Crowley, N. A., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.019 · Cited by 345 · see citing works
Insular cortex neurons encode and retrieve specific immune responses
Koren, T., Yifa, R., Amer, M., Krot, M., Boshnak, N., Ben-Shaanan, T. L., Azulay-Debby, H., Zalayat, I., Avishai, E., Hajjo, H., et al. (2021) · Cell · doi:10.1016/j.cell.2021.10.013 · Cited by 334 · see citing works
Compartmentalization of GABAergic inhibition by dendritic spines
Chiu, C. Q., Lur, G., Morse, T. M., Carnevale, N. T., Ellis-Davies, G. C. R., & Higley, M. J. (2013) · Science · doi:10.1126/science.1234274 · Cited by 307 · see citing works
- Authors
- Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., Lein, E. S., & Zeng, H.
- Affiliations
- Allen Institute for Brain Science (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Zeng, Hongkui
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2009-12-20
- Volume
- 13
- Issue
- 1
- Pages
- 133-140
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC2840225
- OpenAlex
- W2104135721
- Cited by
- 6,907
- References
- 43
- Citations by year
- 2026: 484 · 2025: 644 · 2024: 623 · 2023: 664 · 2022: 568 · 2021: 595 · 2020: 582 · 2019: 555 · 2018: 465 · 2017: 396 · 2016: 328 · 2015: 311 · 2014: 247 · 2013: 231 · 2012: 110
- FWCI
- 28.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (MH085500, R01MH085500)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Animal Genetics and Reproduction
- Keywords
- Cre reporter mice, Rosa26, Cre-loxP system, fluorescent protein expression, mouse brain, cell type-specific gene expression, neuronal circuit mapping, axonal projections, cortical cell types
- MeSH terms
- Animals, Bacterial Proteins, Brain, Dendrites, Luminescent Proteins, Mice, Inbred C57BL, Mice, Transgenic, Neurons, Promoter Regions, Genetic, Recombination, Genetic, Regulatory Sequences, Nucleic Acid, Tamoxifen, Tissue Distribution, Viral Proteins, Gene Transfer Techniques, Microscopy, Confocal, Integrases, 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