The DOI matches its Crossref record; 57 of the 58 references it cites were found in a registry or an index.
Genome-wide atlas of gene expression in the adult mouse brain
Abstract
Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of approximately 20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In order to independently validate our findings about the spatial distribution of astrocytes (Figure S5C), we analyzed in situ hybridization images of marker genes obtained from the Allen Mouse Brain Atlas”
From Molecular Architecture of the Mouse Nervous System (2018) · cites this paper as Lein et al., 2007
In the citing paper
“Allen Brain Atlas in situ hybridization data [24] show ATF3 expression only in granular neurons of the olfactory bulb and dentate gyrus”
From Tamoxifen induces cellular stress in the nervous system by inhibiting cholesterol synthesis (2015) · cites this paper as [24]
In the citing paper
“Further in situ hybridization reveals that cerebellar Purkinje cells and neurons of the deep cerebellar nuclei express high levels of Clec16a (Allen Mouse Brain Atlas, http://mouse.brain-map.org/gene/show/50215)242526.”
From Clec16a is Critical for Autolysosome Function and Purkinje Cell Survival (2016) · cites this paper as [24]
In the citing paper
“we analyzed Nlk expression by LacZ staining and found that LacZ staining was strongest in the Purkinje cell layer (Fig.4D)”
From Polyglutamine Disease Toxicity Is Regulated by Nemo-like Kinase in Spinocerebellar Ataxia Type 1 (2013) · cites this paper as Lein et al., 2007
In the citing paper
“In animal studies (rodents and non-human primates), this is feasible through the use of comprehensive, histologically and functionally defined whole-brain areal parcellations (Bezgin et al., 2012; Lein et al., 2007; Paxinos et al., 2000; Saleem and Logothetis, 2007; Swanson, 2015; Van Essen et al., 2012).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Lein et al., 2007
In the citing paper
“ApoE expression, in both mice and humans, begins relatively late in development [46, 47].”
From ApoE, ApoE Receptors, and the Synapse in Alzheimer's Disease (2017) · cites this paper as [47]
In the citing paper
“To complement and validate the microarray data, several targeted, large-scale in situ hybridization (ISH) data sets were generated using a high-throughput ISH platform1, 8.”
From An anatomically comprehensive atlas of the adult human brain transcriptome (2012) · cites this paper as [1]
In the citing paper
“In rodents, brain- and transcriptome-wide, cellular-resolution maps of transcript distributions are widely useful resources to complement genomic sequence data1, 2, 3.”
From An anatomically comprehensive atlas of the adult human brain transcriptome (2012) · cites this paper as [1]
In the citing paper
“consistent with the percentage of genes expressed in mouse brain by ISH (80%; ref. 1) and fetal human brain by microarrays (76%; ref. 11).”
From An anatomically comprehensive atlas of the adult human brain transcriptome (2012) · cites this paper as [1]
In the citing paper
“expression in human differs from that in mouse (Fig. 5d) and rhesus monkey (Fig. 5e), where CALB1 is robustly expressed in CA1 and CA2 in addition to dentate gyrus.”
From An anatomically comprehensive atlas of the adult human brain transcriptome (2012) · cites this paper as [1]
In the citing paper
“The atlas of the mid-gestational human brain described here, part of the BrainSpan Atlas of the Developing Human Brain, builds on digital molecular brain atlasing efforts in mouse20,22,24 and adult human23 by providing transcriptome resources on prenatal specimens typically inaccessible for research.”
From Transcriptional landscape of the prenatal human brain (2014) · cites this paper as [24]
In the citing paper
“These cell-type-specific expression patterns exhibited specific anatomical localization in the developing cerebellum (Fig. 1c) 26 .”
From Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells (2018) · cites this paper as [26]
In the citing paper
“The distribution of specific markers ( Pcp4 and Slc17a7 ) captured by Stereo-seq exhibited the expected similarity to in situ hybridization (ISH) data taken from Allen Brain Atlas (ABA) (Lein et al., 2007) and clearer patterns than HDST (Vickovic et al., 2019) or Slide-seqV2-resolved (Stickels et al., 2021) expression data (Figure S1E).”
From Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays (2022) · cites this paper as Lein et al., 2007
In the citing paper
“The expression patterns of Hes1 and Hes5 are consistent with ISH images taken from ABA (Figure S7H) (Lein et al., 2007).”
From Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays (2022) · cites this paper as Lein et al., 2007
In the citing paper
“These results are in line with ISH images of the Rspo1 and Fgf15 taken from ABA (Lein et al., 2007) (Figure S7F).”
From Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays (2022) · cites this paper as Lein et al., 2007
In the citing paper
“The expression patterns of Erbb4 and Gad2 are consistent with ISH images taken from ABA (Lein et al., 2007) (Figure S6F).”
From Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays (2022) · cites this paper as Lein et al., 2007
In the citing paper
“Finally, we compared all marker genes that we highlight in this paper (those in Table 1 and all figures) to their patterns in a recent spatial transcriptomics analysis of the spinal cord28 and to the Allen29 and Gensat30 expression databases and found general concordance between these resources (Supplementary Table 4).”
From A harmonized atlas of mouse spinal cord cell types and their spatial organization (2021) · cites this paper as [29]
In the citing paper
“Initial clustering identified 106,728 neurons, of which 70.2% were localized to BNST by examination of marker expression in the Allen Brain Atlas (ABA) (Lein et al., 2007) (Figure S3B).”
From Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity (2019) · cites this paper as Lein et al., 2007
In the citing paper
“In situ hybridization and microarray data, for example the Allen Brain Atlases (Hawrylycz et al., 2012; Lein et al., 2007), have also established that mRNA transcripts encoding these five NPPs and that many other NPPs and NP-GPCR genes are expressed differentially in many brain regions.”
From Single-cell transcriptomic evidence for dense intracortical neuropeptide networks (2019) · cites this paper as Lein et al., 2007
In the citing paper
“Inspection of ISHs from the Allen Brain Atlas (Lein et al., 2007) indicated that these neurons were located in the Edinger-Westphal nucleus, which is adjacent to the DRN, confirming that our dissection region spanned most of the DRN along the anterior-posterior axis.”
From Molecular and anatomical organization of the dorsal raphe nucleus (2019) · cites this paper as Lein et al., 2007
In the citing paper
“We leveraged the inclusion of adjacent brain tissue in our atlas to map the boundary between the 3V ChP and developing pineal gland using published ISH (Lein et al., 2007; Visel et al., 2004) of marker genes from our data (Figure S2C).”
From A cellular and spatial map of the choroid plexus across brain ventricles and ages (2021) · cites this paper as Lein et al., 2007
In the citing paper
“Signature scores were distinctly elevated in areas corresponding to the anatomical structures annotated in the Allen brain reference atlas (Figure S3A) (Lein et al., 2007).”
From Atlas of the aging mouse brain reveals white matter as vulnerable foci (2023) · cites this paper as Lein et al., 2007
In the citing paper
“We compared the expression of marker genes to insitu hybridization (ISH) data from the Allen Mouse Brain Atlas(Lein et al., 2007) and visual landmarks from the H&E microscopy images”
From Atlas of the aging mouse brain reveals white matter as vulnerable foci (2023) · cites this paper as Lein et al., 2007
Citations
Cites
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
The Transcriptional Landscape of the Mammalian Genome
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C. A., et al. (2005) · Science · doi:10.1126/science.1112014 · Cited by 3,492
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
Alignment by Maximization of Mutual Information
Viola, P. A., & Wells, W. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007958904918 · Cited by 2,610
Coordinated Transcription of Key Pathways in the Mouse by the Circadian Clock
Panda, S., Antoch, M. P., Miller, B. H., Su, A. I., Schook, A. C., Straume, M., Schultz, P. G., Kay, S. A., Takahashi, J. S., & Hogenesch, J. B. (2002) · Cell · doi:10.1016/s0092-8674(02)00722-5 · Cited by 2,310
The three-dimensional organization of the hippocampal formation: A review of anatomical data
Amaral, D. G., & Witter, M. P. (1989) · Neuroscience · doi:10.1016/0306-4522(89)90424-7 · 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
Zola-Morgan, S., Squire, L., & Amaral, D. (1986) · The Journal of Neuroscience · doi:10.1523/jneurosci.06-10-02950.1986 · Cited by 1,997
de Nó, R. L. (1934) · Cited by 1,974
Brain Maps: Structure of the Rat Brain
Swanson, L. W. (1992) · Medical Entomology and Zoology · Cited by 1,878
Research works printed but not linked: 1
- Voogd, J., Hess, D. & Marani, E. The Parasagittal Zonation of the Cerebellar Cortex in Cat and Monkey: Topography, Distribution of Acetylcholinesterase, and Development (ed. King, E. S.) (Liss, New York, 1987)
Cited by
Sorted by citations
Items 901–1,000 of 1,058
Summerhurst, K., Stark, M. H., Sharpe, J. A., Davidson, D. R., & Murphy, P. (2008) · Gene Expression Patterns · doi:10.1016/j.gep.2008.01.007 · Cited by 92
An inside job: how endosomal Na+/H+ exchangers link to autism and neurological disease
Kondapalli, K. C., Prasad, H., & Rao, R. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00172 · Cited by 97
Brain-mapping projects using the common marmoset
Okano, H., & Mitra, P. P. (2014) · Neuroscience Research · doi:10.1016/j.neures.2014.08.014 · Cited by 93
Beckley, J. T., Laguesse, S., Phamluong, K., Morisot, N., Wegner, S. A., & Dorit Ron, A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2254-15.2016 · Cited by 100
Barrington's nucleus: Neuroanatomic landscape of the mouse “pontine micturition center”
Verstegen, A. M. J., VanderHorst, V., Gray, P. A., Zeidel, M. L., & Geerling, J. C. (2017) · The Journal of Comparative Neurology · doi:10.1002/cne.24215 · Cited by 98
The cellular basis of distinct thirst modalities
Pool, A., Wang, T., Stafford, D. A., Chance, R. K., Lee, S., Ngai, J., & Oka, Y. (2020) · Nature · doi:10.1038/s41586-020-2821-8 · Cited by 92
Succinate Receptor 1: An Emerging Regulator of Myeloid Cell Function in Inflammation
Krzak, G., Willis, C. M., Smith, J. A., Pluchino, S., & Peruzzotti‐Jametti, L. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.11.004 · Cited by 91
Glucocorticoid receptor modulators
Meijer, O. C., Koorneef, L. L., & Kroon, J. (2018) · Annales d Endocrinologie · doi:10.1016/j.ando.2018.03.004 · Cited by 93
Emergent reliability in sensory cortical coding and inter-area communication
Ebrahimi, S., Lecoq, J. A., Rumyantsev, O., Tasci, T., Zhang, Y., Irimia, C., Li, J., Ganguli, S., & Schnitzer, M. J. (2022) · Nature · doi:10.1038/s41586-022-04724-y · Cited by 95
Wolfgang, M. J., Cha, S. H., Millington, D. S., Cline, G. W., Shulman, G. I., Suwa, A., Asaumi, M., Kurama, T., Shimokawa, T., & Lane, M. D. (2008) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2008.05255.x · Cited by 90
Systematic 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
Ding, S.-L., Yao, Z., Hirokawa, K. E., Nguyen, T. N., Graybuck, L. T., Fong, O., Bohn, P., Ngo, K., Smith, K. A., Koch, C., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107648 · Cited by 82
Functionally Enigmatic Genes: A Case Study of the Brain Ignorome
Pandey, A. K., Lu, L., Wang, X., Homayouni, R., & Williams, R. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088889 · Cited by 90
Ito, S., Feldheim, D. A., & Litke, A. M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3689-16.2017 · Cited by 92
Development, Maturation, and Necessity of Transcription Factors in the Mouse Suprachiasmatic Nucleus
VanDunk, C., Hunter, L. A., & Gray, P. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5385-10.2011 · Cited by 89
Pacheco, N. L., Heaven, M. R., Holt, L. M., Crossman, D. K., Boggio, K. J., Shaffer, S. A., Flint, D. L., & Olsen, M. L. (2017) · Molecular Autism · doi:10.1186/s13229-017-0174-4 · Cited by 90
Dietary and sex-specific factors regulate hypothalamic neurogenesis in young adult mice
Lee, D. A., Yoo, S., Pak, T. K., Salvatierra, J., Velarde, E., Aja, S. M., & Blackshaw, S. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00157 · Cited by 86
Self-citationThankachan, S., Katsuki, F., McKenna, J. T., Yang, C. Z., Shukla, C., Deisseroth, K. A., Uygun, D. S., Strecker, R. E., Brown, R. E., McNally, J. M., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-40398-9 · Cited by 93
Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data
Saxena, S., Kinsella, I., Musall, S., Kim, S. H., Mészáros, J., Thibodeaux, D. N., Kim, C. Y., Cunningham, J. P., Hillman, E. M. C., Churchland, A. K., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007791 · Cited by 86
Tagliatti, E., Desiato, G., Mancinelli, S., Bizzotto, M., Gagliani, M. C., Faggiani, E., Hernández‐Soto, R., Cugurra, A., Poliseno, P., Miotto, M., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.12.002 · Cited by 90
TRPM4 channels in the cardiovascular system: Physiology, pathophysiology, and pharmacology
Abriel, H., Syam, N., Sottas, V., Amarouch, M., & Rougier, J. (2012) · Biochemical Pharmacology · doi:10.1016/j.bcp.2012.06.021 · Cited by 90
Critical Time Window of Neuronal Cholesterol Synthesis during Neurite Outgrowth
Fünfschilling, U., Jockusch, W. J., Sivakumar, N., Möbius, W., Corthals, K., Li, S., Quintes, S., Kim, Y., Schaap, I. A. T., Rhee, J., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1352-11.2012 · Cited by 97
Connections of the lateral hypothalamic area juxtadorsomedial region in the male rat
Hahn, J. D., & Swanson, L. W. (2012) · The Journal of Comparative Neurology · doi:10.1002/cne.23064 · Cited by 87
Three-dimensional diffusion tensor microimaging for anatomical characterization of the mouse brain
Aggarwal, M., Mori, S., Shimogori, T., Blackshaw, S., & Zhang, J. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22426 · Cited by 90
Aller, M. I., & Wisden, W. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.12.011 · Cited by 96
Actin filaments—A target for redox regulation
Wilson, C., Terman, J. R., González-Billault, C. E., & Ahmed, G. (2016) · Cytoskeleton · doi:10.1002/cm.21315 · Cited by 89
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-citationRapid erasure of hippocampal memory following inhibition of dentate gyrus granule cells
Madroñal, N., Delgado-Garcia, J. M., Fernández-Guizán, A., Chatterjee, J., Köhn, M., Mattucci, C., Jain, A., Tsetsenis, T., Illarionova, A., Grinevich, V., et al. (2016) · Nature Communications · doi:10.1038/ncomms10923 · Cited by 94
Functional Implications of miR-19 in the Migration of Newborn Neurons in the Adult Brain
Han, J., Kim, H. J., Schafer, S. T., Paquola, A. C. M., Clemenson, G. D., Toda, T., Oh, J., Pankonin, A. R., Lee, B. S., Johnston, S. T., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.05.034 · Cited by 89
Big Science, Team Science, and Open Science for Neuroscience
Koch, C., & Jones, A. R. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.019 · Cited by 93
Self-citationSchmitz, L. J. M., Klaassen, R. V., Ruiperez‐Alonso, M., Zamri, A. E., Stroeder, J., Rao‐Ruiz, P., Lodder, J. C., van der Loo, R. J., Mansvelder, H. D., Smit, A. B., et al. (2017) · eLife · doi:10.7554/elife.24192 · Cited by 88
Centanni, S. W., Morris, B., Luchsinger, J. R., Bedse, G., Fetterly, T. L., Patel, S., & Winder, D. G. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0257-8 · Cited by 85
Mariani, N., Cattane, N., Pariante, C. M., & Cattaneo, A. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01469-6 · Cited by 96
Molecular architecture determines brain delivery of a transferrin receptor–targeted lysosomal enzyme
Arguello, A., Mahon, C. S., Calvert, M., Chan, D., Dugas, J. C., Pizzo, M. E., Thomsen, E. R., Chau, R., Damo, L. A., Duque, J. N., et al. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20211057 · Cited by 87
The role of the ATP-adenosine axis in ischemic stroke
Schädlich, I. S., Winzer, R., Stabernack, J., Tolosa, E., Magnus, T. U., & Rissiek, B. (2023) · Seminars in Immunopathology · doi:10.1007/s00281-023-00987-3 · Cited by 92
Tong, L., Strong, M. K., Kaur, T., Juiz, J. M., Oesterle, E. C., Hume, C. R., Warchol, M. E., Palmiter, R. D., & Rubel, E. W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2179-14.2015 · Cited by 89
Dendrite Self-Avoidance Requires Cell-Autonomous Slit/Robo Signaling in Cerebellar Purkinje Cells
Gibson, D. A., Tymanskyj, S. R., Yuan, R., Leung, H. C., Lefebvre, J. L., Sanes, J. R., Chédotal, A., & Ma, L. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.009 · Cited by 89
Hippocampal regulation of aversive memories
Goosens, K. A. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.04.003 · Cited by 96
GPR171 is a hypothalamic G protein-coupled receptor for BigLEN, a neuropeptide involved in feeding
Gomes, I., Aryal, D. K., Wardman, J. H., Gupta, A., Gagnidze, K., Rodriguiz, R. M., Kumar, S., Wetsel, W. C., Pintar, J. E., Fricker, L. D., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312938110 · Cited by 89
Ephrin-B1 and ephrin-B2 mediate EphB-dependent presynaptic development via syntenin-1
McClelland, A. C., Sheffler-Collins, S. I., Kayser, M. S., & Dalva, M. B. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811862106 · Cited by 90
Wu, Q., Chu, J. L., Rubakhin, S. S., Gillette, M. U., & Sweedler, J. V. (2017) · Chemical Science · doi:10.1039/c7sc00937b · Cited by 90
Constructing the suprachiasmatic nucleus: a watchmaker's perspective on the central clockworks
Bedont, J. L., & Blackshaw, S. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00074 · Cited by 91
The mouse Gene Expression Database (GXD): 2014 update
Smith, C. M., Finger, J. H., Hayamizu, T. F., McCright, I. J., Xu, J., Berghout, J., Campbell, J., Corbani, L. E., Forthofer, K. L., Frost, P. J., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt954 · Cited by 75
A novel mouse model of glucagon‐like peptide‐1 receptor expression: A look at the brain
Graham, D. L., Durai, H. H., Trammell, T. S., Noble, B. L., Mortlock, D. P., Galli, A., & Stanwood, G. D. (2020) · The Journal of Comparative Neurology · doi:10.1002/cne.24905 · Cited by 90
Caccavano, A., Bozzelli, P. L., Forcelli, P. A., Pak, D. T. S., Wu, J., Conant, K. E., & Vicini, S. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0425-20.2020 · Cited by 94
Yamauchi, N., Sato, K., Sato, K., Murakawa, S., Hamasaki, Y., Nomura, H., Amano, T., & Minami, M. (2022) · Science Advances · doi:10.1126/sciadv.abj5586 · Cited by 90
Endogenous Peptide Discovery of the Rat Circadian Clock
Lee, J. E., Atkins, N., Hatcher, N. G., Zamdborg, L., Gillette, M. U., Sweedler, J. V., & Kelleher, N. L. (2009) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m900362-mcp200 · Cited by 88
Gene Expression Analysis of the Embryonic Subplate
Oeschger, F. M., Wang, W.-Z., Lee, S., García‐Moreno, F., Goffinet, A. M., Arbonés, M. L., Rakić, S., & Molnár, Z. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr197 · Cited by 87
Hazell, G. G. J., Hindmarch, C. C. T., Pope, G. R., Roper, J. A., Lightman, S. L., Murphy, D., O’Carroll, A., & Lolait, S. J. (2011) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2011.07.002 · Cited by 86
FTO Is Expressed in Neurones throughout the Brain and Its Expression Is Unaltered by Fasting
McTaggart, J. S., Lee, S., Iberl, M., Church, C., Cox, R., & Ashcroft, F. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027968 · Cited by 92
Arcuate AgRP neurons and the regulation of energy balance
Cansell, C., Denis, R., Joly‐Amado, A., Castel, J., & Luquet, S. H. (2012) · Frontiers in Endocrinology · doi:10.3389/fendo.2012.00169 · Cited by 89
Axon initial segment dysfunction in a mouse model of genetic epilepsy with febrile seizures plus
Wimmer, V. C., Reid, C. A., Mitchell, S., Richards, K., Scaf, B. B., Leaw, B., Hill‐Yardin, E. L., Royeck, M., Horstmann, M., Cromer, B. A., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci42219 · Cited by 87
Voltage-gated potassium channel KCNV2 (Kv8.2) contributes to epilepsy susceptibility
Jorge, B. S., Campbell, C. M., Miller, A. R., Rutter, E. D., Gurnett, C. A., Vanoye, C. G., George, A. L., & Kearney, J. A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017539108 · Cited by 88
Akgül, G., & McBain, C. J. (2016) · The Journal of Physiology · doi:10.1113/jp271764 · Cited by 87
The melanocortin receptors and their accessory proteins
Ramachandrappa, S., Gorrigan, R. J., Clark, A. J. L., & Chan, L. F. (2013) · Frontiers in Endocrinology · doi:10.3389/fendo.2013.00009 · Cited by 87
Kaiser, K., Gyllborg, D., Procházka, J., Salašová, A., Kompaníková, P., Molina, F. L., Laguna-Goya, R., Radaszkiewicz, T., Harnoš, J., Procházková, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09298-4 · Cited by 87
Jørgensen, J. R., Fransson, A., Fjord‐Larsen, L., Thompson, L. H., Houchins, J. P., Andrade, N., Torp, M., Kalkkinen, N., Andersson, E., Lindvall, O., et al. (2011) · Experimental Neurology · doi:10.1016/j.expneurol.2011.09.027 · Cited by 92
Huang, L., Kebschull, J. M., Fürth, D., Musall, S., Kaufman, M. T., Churchland, A. K., & Zador, A. M. (2020) · Cell · doi:10.1016/j.cell.2020.05.029 · Cited by 88
Shen, R., Liu, L., Wu, Z., Zhang, Y., Yuan, Z., Guo, J., Yang, F., Zhang, C., Chen, B., Feng, W., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-35288-0 · Cited by 85
The insulin-like growth factor pathway is altered in spinocerebellar ataxia type 1 and type 7
Gatchel, J. R., Watase, K., Christina Thaller, B., Carson, J. P., Jafar‐Nejad, P., Shaw, C. A., Zu, T., Orr, H. T., & Zoghbi, H. Y. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0711257105 · Cited by 87
Growth Hormone Secretagogue Receptor Dimers: A New Pharmacological Target
Wellman, M. K., & Abizaid, A. B. (2015) · eNeuro · doi:10.1523/eneuro.0053-14.2015 · Cited by 88
Björling, E., Lindskog, C., Oksvold, P., Linné, J., Kampf, C., Hober, S., Uhlén, M., & Pontén, F. (2007) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m700411-mcp200 · Cited by 85
Mahfouz, A. E., Lelieveldt, B. P. F., Grefhorst, A., van Weert, L. T. C. M., Mol, I. M., Sips, H. C. M., van den Heuvel, J. K., Datson, N. A., Visser, J. A., Reinders, M. J. T., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520376113 · Cited by 88
Gaisler-Salomon, I., Miller, G. M., Chuhma, N., Lee, S., Zhang, H., Ghoddoussi, F., Lewandowski, N., Fairhurst, S., Wang, Y., Conjard-Duplany, A., et al. (2009) · Neuropsychopharmacology · doi:10.1038/npp.2009.58 · Cited by 86
Signaling Pathways Mediating Alcohol Effects
Dorit Ron, A., & Messing, R. O. (2011) · Current topics in behavioral neurosciences · doi:10.1007/7854_2011_161 · Cited by 85
Role of Estrogen Receptor α and β in Preserving Hippocampal Function during Aging
Han, X.-X., Aenlle, K. K., Bean, L. A., Rani, A., Semple‐Rowland, S. L., Kumar, A., & Foster, T. C. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4937-12.2013 · Cited by 90
Ko, Y., Ament, S. A., Eddy, J. A., Caballero-Pérez, J., Earls, J. C., Hood, L., & Price, N. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222897110 · Cited by 84
Acetylcholine excites neocortical pyramidal neurons via nicotinic receptors
Hedrick, T. P., & Waters, J. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00716.2014 · Cited by 92
Deletion of the mu opioid receptor gene in mice reshapes the reward-aversion connectome
Mechling, A. E., Arefin, T., Lee, H.-L., Bienert, T., Reisert, M., Ben Hamida, S., Darcq, E., Ehrlich, A., Gaveriaux-Ruff, C., Parent, M. J., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1601640113 · Cited by 80
A gene expression atlas of early craniofacial development
Brunskill, E. W., Potter, A. S., Distasio, A., Dexheimer, P., Plassard, A., Aronow, B. J., & Potter, S. S. (2014) · Developmental Biology · doi:10.1016/j.ydbio.2014.04.016 · Cited by 81
Control of locomotor speed, arousal, and hippocampal theta rhythms by the nucleus incertus
Lu, L., Ren, Y., Yu, T., Liu, Z., Wang, S., Tan, L., Zeng, J., Feng, Q., Lin, R., Liu, Y., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14116-y · Cited by 84
Self-citationSensory experience remodels genome architecture in neural circuit to drive motor learning
Yamada, T., Yang, Y., Valnegri, P., Juric, I., Abnousi, A., Markwalter, K. H., Guthrie, A. N., Godec, A., Oldenborg, A., Hu, M., et al. (2019) · Nature · doi:10.1038/s41586-019-1190-7 · Cited by 83
A regulatory toolbox of MiniPromoters to drive selective expression in the brain
Portales-Casamar, E., Swanson, D. J., Liu, L., Leeuw, C. N. D., Banks, K. G., Ho Sui, S. J., Fulton, D. L., Ali, J., Amirabbasi, M., Arenillas, D. J., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009158107 · Cited by 77
Glutamatergic synaptic integration of locomotion speed via septoentorhinal projections
Justus, D., Dalügge, D., Bothe, S., Fuhrmann, F., Hannes, C., Kaneko, H., Friedrichs, D., Sosulina, L., Schwarz, I., Elliott, D. A., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4447 · Cited by 82
The Genetics of Major Depression
Flint, J., & Kendler, K. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.033 · Cited by 81
“Given that about 18,000 genes are expressed in the brain (Lein et al., 2007), it would not be surprising if some of the candidates in Table 2 are true risk variants, but nowhere near the effect size currently considered plausible.”
Mapping the Structural Determinants Required for AAVrh.10 Transport across the Blood-Brain Barrier
Albright, B. H., Storey, C. M., Murlidharan, G., Castellanos Rivera, R. M., Berry, G. E., Madigan, V. J., & Asokan, A. (2018) · Molecular Therapy · doi:10.1016/j.ymthe.2017.10.017 · Cited by 82
Functional Access to Neuron Subclasses in Rodent and Primate Forebrain
Mehta, P., Kreeger, L., Wylie, D. C., Pattadkal, J. J., Lusignan, T., Davis, M. J., Turi, G. F., Li, W.-K., Whitmire, M. P., Chen, Y., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.011 · Cited by 67
Blankvoort, S., Witter, M. P., Noonan, J., Cotney, J., & Kentros, C. (2018) · Current Biology · doi:10.1016/j.cub.2018.05.015 · Cited by 72
Spatio-Temporal Patterns of Demyelination and Remyelination in the Cuprizone Mouse Model
Tagge, I., O’Connor, A., Chaudhary, P., Pollaro, J., Berlow, Y., Chalupsky, M., Bourdette, D., Woltjer, R., Johnson, M., & Rooney, W. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152480 · Cited by 81
bigSCale: an analytical framework for big-scale single-cell data
Iacono, G., Mereu, E., Guillaumet-Adkins, A., Corominas, R., Cuscó, I., Rodríguez-Esteban, G., Gut, M., Pérez-Jurado, L. A., Gut, I., & Heyn, H. (2018) · Genome Research · doi:10.1101/gr.230771.117 · Cited by 79
Molecular genetics and imaging technologies for circuit-based neuroanatomy
Arenkiel, B. R., & Ehlers, M. D. (2009) · Nature · doi:10.1038/nature08536 · Cited by 78
Neuropeptidergic control of sleep and wakefulness
Richter, C., Woods, I. G., & Schier, A. F. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150447 · Cited by 75
Adriaenssens, A., Broichhagen, J., de Bray, A., Ast, J., Hasib, A., Jones, B., Tomas, A., Burgos, N. F., Woodward, O., Lewis, J., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.164921 · Cited by 77
rAAV-compatible MiniPromoters for restricted expression in the brain and eye
de Leeuw, C. N., Korecki, A. J., Berry, G. E., Hickmott, J. W., Lam, S. L., Lengyell, T. C., Bonaguro, R. J., Borretta, L. J., Chopra, V., Chou, A. Y., et al. (2016) · Molecular Brain · doi:10.1186/s13041-016-0232-4 · Cited by 76
Structural insights into the rodent CNS via diffusion tensor imaging.
Zhang, J., Aggarwal, M., & Mori, S. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.04.010 · Cited by 73
Anderson, L. A., Christianson, G. B., & Linden, J. F. (2009) · Brain Research · doi:10.1016/j.brainres.2008.11.037 · Cited by 71
Calarco, J. A., Zhen, M., & Blencowe, B. J. (2011) · RNA · doi:10.1261/rna.2603911 · Cited by 72
Decoder-seq enhances mRNA capture efficiency in spatial RNA sequencing
Cao, J., Zheng, Z., Sun, D., Chen, X., Cheng, R., Lv, T., An, Y., Zheng, J., Song, J., Wu, L., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-02086-y · Cited by 71
In situ cell-type-specific cell-surface proteomic profiling in mice
Shuster, S. A., Li, J., Chon, U., Sinantha-Hu, M. C., Luginbuhl, D. J., Udeshi, N. D., Carey, D. K., Takeo, Y. H., Xie, Q., Xu, C., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.025 · Cited by 70
Dual midbrain and forebrain origins of thalamic inhibitory interneurons
Jager, P., Moore, G., Calpin, P., Durmishi, X., Salgarella, I., Menage, L., Kita, Y., Wang, Y., Kim, D. W., Blackshaw, S., et al. (2021) · eLife · doi:10.7554/elife.59272 · Cited by 61
“Available from: mouse.brain-map.org; ( Lein et al., 2007 )].”
BackgroundMethodInfluentialTrem2 deficiency differentially affects phenotype and transcriptome of human APOE3 and APOE4 mice
Fitz, N. F., Wolfe, C. M., Playso, B. E., Biedrzycki, R. J., Lu, Y., Nam, K. N., Lefterov, I., & Koldamova, R. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00394-4 · Cited by 68
Evolution of neuronal identity in the cerebral cortex
Tosches, M. A., & Laurent, G. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.04.009 · Cited by 57
Loss of the tuberous sclerosis complex protein tuberin causes Purkinje cell degeneration
Reith, R. M., Way, S., McKenna, J., Haines, K., & Gambello, M. J. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.02.014 · Cited by 65
Raber, J., Arzy, S., Bertolus, J. B., Depue, B., Haas, H. E., Hofmann, S. G., Kangas, M., Kensinger, E., Lowry, C. A., Marusak, H. A., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.03.015 · Cited by 62
An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types
Yao, Z., Liu, H., Xie, F., Fischer, S., Booeshaghi, A. S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Pinto-Duarte, A., Bartlett, A., et al. (2020) · doi:10.1101/2020.02.29.970558 · Cited by 397
Self-citationEvangelio, M., García-Amado, M., & Clascá, F. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00027 · Cited by 61
Integrated Quantitative Transcriptome Maps of Human Trisomy 21 Tissues and Cells
Pelleri, M. C., Cattani, C., Vitale, L., Antonaros, F., Strippoli, P., Locatelli, C., Cocchi, G., Piovesan, A., & Caracausi, M. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00125 · Cited by 61
Molecular and functional architecture of striatal dopamine release sites
Banerjee, A., Imig, C., Balakrishnan, K., Kershberg, L., Lipstein, N., Uronen, R.-L., Wang, J., Cai, X., Benseler, F., Rhee, J. S., et al. (2022) · Neuron · doi:10.1016/j.neuron.2021.10.028 · Cited by 58
Essentials of Recombinase-Based Genetic Fate Mapping in Mice
Jensen, P., & Dymecki, S. M. (2014) · Methods in Molecular Biology · doi:10.1007/978-1-60327-292-6_26 · Cited by 54
Nicotine Enhances Excitability of Medial Habenular Neurons via Facilitation of Neurokinin Signaling
Dao, D. Q., Perez, E. E., Teng, Y., Dani, J. A., & De Biasi, M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2736-13.2014 · Cited by 56
Metadata
- Authors
- 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., Chen, L., Chen, L., Chen, T.-M., Chi Chin, M., Chong, J., Crook, B. E., Czaplinska, A., Dang, C. N., Datta, S., Dee, N. R., Desaki, A. L., Desta, T., Diep, E., Dolbeare, T. A., Donelan, M. J., Dong, H.-W., Dougherty, J. G., Duncan, B. J., Ebbert, A. J., Eichele, G., Estin, L. K., Faber, C., Facer, B. A., Fields, R., Fischer, S. R., Fliss, T. P., Frensley, C., Gates, S. N., Glattfelder, K. J., Halverson, K. R., Hart, M. R., Hohmann, J. G., Howell, M. P., Jeung, D. P., Johnson, R. A., Karr, P. T., Kawal, R., Kidney, J. M., Knapik, R. H., Kuan, C. L., Lake, J. H., Laramee, A. R., Larsen, K. D., Lau, C., Lemon, T. A., Liang, A. J., Liu, Y., Luong, L. T., Michaels, J., Morgan, J. J., Morgan, R. J., Mortrud, M. T., Mosqueda, N. F., Ng, L. L., Ng, R., Orta, G. J., Overly, C. C., Pak, T. H., Parry, S. E., Pathak, S. D., Pearson, O. C., Puchalski, R. B., Riley, Z. L., Rockett, H. R., Rowland, S. A., Royall, J. J., Ruiz, M. J., Sarno, N. R., Schaffnit, K., Shapovalova, N. V., Sivisay, T., Slaughterbeck, C. R., Smith, S. C., Smith, K. A., Smith, B. I., Sodt, A. J., Stewart, N. N., Stumpf, K.-R., Sunkin, S. M., Sutram, M., Tam, A., Teemer, C. D., Thaller, C., Thompson, C. L., Varnam, L. R., Visel, A., Whitlock, R. M., Wohnoutka, P. E., Wolkey, C. K., Wong, V. Y., Wood, M., Yaylaoglu, M. B., Young, R. C., Youngstrom, B. L., Feng Yuan, X., Zhang, B., Zwingman, T. A., & Jones, A. R.
- Affiliations
- Allen Institute for Brain Science (US)
- Baylor College of Medicine (US)
- Novartis (Switzerland) (CH)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Lein, Ed S.
- Jones, Allan R.
- ORCID
- Lein, Ed S.
- Hawrylycz, Michael J.
- Bernard, Amy
- Chen, Lin
- Chong, Jimmy
- Dee, Nick R.
- Desta, Tsega
- Dolbeare, Tim A.
- Dong, Hong-Wei
- Fliss, Tim P.
- Glattfelder, Katie J.
- Hart, Matthew R.
- Hohmann, John G.
- Liu, Ying
- Ng, Lydia L.
- Puchalski, Ralph B.
- Shapovalova, Nadiya V.
- Smith, Kimberly A.
- Sunkin, Susan M.
- Thompson, Carol L.
- Visel, Axel
- Wohnoutka, Paul E.
- Wood, Matthew
- Zhang, Bin
- Zwingman, Theresa A.
- Jones, Allan R.
- Venue
- Nature
- Published
- 2006-12-06
- Volume
- 445
- Issue
- 7124
- Pages
- 168-176
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2123491442
- Cited by
- 5,572
- References
- 58
- Citations by year
- 2026: 237 · 2025: 327 · 2024: 368 · 2023: 347 · 2022: 409 · 2021: 435 · 2020: 398 · 2019: 342 · 2018: 320 · 2017: 296 · 2016: 280 · 2015: 236 · 2014: 252 · 2013: 203 · 2012: 223
- FWCI
- 68.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- gene expression atlas, mouse brain, Allen Brain Atlas, cellular resolution, in situ hybridization, brain region-specific gene expression, cell markers, brain organization
- MeSH terms
- Animals, Brain, Gene Expression Regulation, Hippocampus, Male, Mice, Inbred C57BL, Organ Specificity, RNA, Messenger, Genome, Computational Biology, Gene Expression Profiling, Genomics, 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