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GenePaint.org: an atlas of gene expression patterns in the mouse embryo
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High-throughput instruments were recently developed to determine gene expression patterns on tissue sections by RNA in situ hybridization. The resulting images of gene expression patterns, chiefly of E14.5 mouse embryos, are accessible to the public at http://www.genepaint.org. This relational database is searchable for gene identifiers and RNA probe sequences. Moreover, patterns and intensity of expression in approximately 100 different embryonic tissues are annotated and can be searched using a standardized catalog of anatomical structures. A virtual microscope tool, the Zoom Image Server, was implemented in GenePaint.org and permits interactive zooming and panning across approximately 15,000 high-resolution images.
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“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 Visel et al., 2004
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Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs
Okazaki, Y., Furuno, M., Kasukawa, T., Adachi, J., Bono, H. U., Kondo, S., Nikaido, I., Osato, N., Saito, R., Suzuki, H., et al. (2002) · Nature · doi:10.1038/nature01266 · Cited by 1,660
RefSeq and LocusLink: NCBI gene-centered resources
Pruitt, K. D. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.137 · Cited by 884
Single-Cell Transcriptional Analysis of Neuronal Progenitors
Tietjen, I., Rihel, J. M., Cao, Y., Koentges, G., Zakhary, L., & Dulac, C. (2003) · Neuron · doi:10.1016/s0896-6273(03)00229-0 · Cited by 260
MGD: the Mouse Genome Database
Blake, J. A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg047 · Cited by 246
An internet-accessible database of mouse developmental anatomy based on a systematic nomenclature
Bard, J., Kaufman, M. H., Dubreuil, C., Brune, R., Burger, A., Baldock, R., & Davidson, D. R. (1998) · Mechanisms of Development · doi:10.1016/s0925-4773(98)00069-0 · Cited by 128
A transcriptome atlas of the mouse brain at cellular resolution
Carson, J. P., Thaller, C., & Eichele, G. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00356-2 · Cited by 81
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Brown, P. R., Estermann, M. A., Gruzdev, A., Scott, G. J., Hagler, T. B., Ray, M. K., & Yao, H. H. (2025) · Biology of Reproduction · doi:10.1093/biolre/ioaf094 · Cited by 5
The AERO System: A 3D-Like Approach for Recording Gene Expression Patterns in the Whole Mouse Embryo
Shimizu, H., Kubo, A., Uchibe, K., Hashimoto, M., Yokoyama, S., Takada, S., Mitsuoka, K., & Asahara, H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075754 · Cited by 5
Haws, W., England, S. J., Grieb, G., Susana, G., Hernandez, S., Mirer, H., & Lewis, K. E. (2023) · Scientific Reports · doi:10.1038/s41598-023-27878-9 · Cited by 5
Epigenetic signature of very low birth weight in young adult life
Kuula, J., Czamara, D., Hauta‐alus, H., Lahti, J. M. T., Hovi, P., Miettinen, M. E., Ronkainen, J., Eriksson, J. G., ANDERSSON, S. M., Järvelin, M., et al. (2024) · Pediatric Research · doi:10.1038/s41390-024-03354-6 · Cited by 5
Li, J., Ma, J., Chen, Y., Chen, S., Luo, L., & Cheng, H. (2024) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.65.10.12 · Cited by 5
Virtanen, C., Paris, J., & Takahashi, M. T. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m807000200 · Cited by 5
Smad4 controls proliferation of interstitial cells in the neonatal kidney
McCarthy, S. S., Karolak, M. J., & Oxburgh, L. H. (2021) · Development · doi:10.1242/dev.199984 · Cited by 5
Generation of a biotinylatable Sox2 mouse model to identify Sox2 complexes in vivo
Schilders, K. A. A., Eenjes, E., Edel, G. G., Munck, A. B., Kempen, M. B., Demmers, J., Wijnen, R. M. H., Tibboel, D., & Rottier, R. J. (2018) · Transgenic Research · doi:10.1007/s11248-018-0058-1 · Cited by 5
Fujimori, K. E. (2008) · Molecular Biotechnology · doi:10.1007/s12033-008-9120-1 · Cited by 5
Ng, L., Sunkin, S. M., & Hawrylycz, M. (2010) · Methods · doi:10.1016/j.ymeth.2009.12.016 · Cited by 9
Cano, E., Paech, J., Kanda, M., Lindberg, E. L., Hollfinger, I., Braeuning, C., Fischer, C., Hübner, N., & Gerhardt, H. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.20.517740 · Cited by 5
Cao, X., Li, Y., Liu, X., Li, K., Hong, S., Chen, H., Rao, Q., Li, H., Deng, Z., & Song, W. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.138744 · Cited by 4
Taroc, E. Z. M., Amato, E., Semon, A. M., Dolphin, N. M., Beck, B., Belin, S., Poitelon, Y., & Forni, P. E. (2025) · Glia · doi:10.1002/glia.70057 · Cited by 4
The mouse Gene Expression Database (GXD): 2026 update
Smith, C. M., Hayamizu, T. F., Finger, J. H., McCright, I. J., Xu, J., Campbell, J., Corbani, L. E., Emerson, J., Frost, P. J., Liang, H., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1236 · Cited by 5
Hoyt, K. R., Horning, P., Ang, P. G., Karelina, K., & Obrietan, K. H. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.08.012 · Cited by 4
VSTM2A reverses immunosuppression in colorectal cancer by antagonizing the PD-L1/PD-1 interaction
Dong, Y., Liu, J. J., Zhou, Y., Kang, W., Li, S., Cheung, A. H. K., Hu, Y., Liao, R. J., Wong, N., Wong, C. C., et al. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.09.023 · Cited by 3
Mulleners, O. J., van der Maarel, L. E., Christoffels, V. M., & Jensen, B. (2025) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15296 · Cited by 4
Molecular profiling of the vestibular lamina highlights a key role for Hedgehog signalling
Qiu, T., Hutečková, B., Seppala, M., Cobourne, M. T., Chen, Z., Hovořáková, M., Buchtová, M., & Tucker, A. S. (2023) · Development · doi:10.1242/dev.201464 · Cited by 4
Transcriptome Profile of the Rat Adrenal Gland: Parenchymal and Interstitial Cells
Tyczewska, M., Sujka‐Kordowska, P., Szyszka, M., Jopek, K., Blatkiewicz, M., Malendowicz, L. K., & Ruciński, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119159 · Cited by 4
Leung, A. M., Rao, M. B., Raju, N., Chung, M., Klinger, A., Rowe, D. J., Li, X., & Levine, E. M. (2023) · Developmental Dynamics · doi:10.1002/dvdy.629 · Cited by 4
Moreno-Garcia, M., Rosenblatt, D. S., & Jerome‐Majewska, L. A. (2012) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2012.09.009 · Cited by 4
aGEM: an integrative system for analyzing spatial-temporal gene-expression information
Jiménez-Lozano, N., Segura, J., Macías, J. R., Vega, J., & Carazo, J. M. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp422 · Cited by 4
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Shimizu, H., Uchibe, K., & Asahara, H. (2009) · Methods in molecular biology · doi:10.1007/978-1-60761-232-2_13 · Cited by 4
McClelland, K. S., & Yao, H. H. (2017) · Sexual Development · doi:10.1159/000455113 · Cited by 4
Rosati, P., Lupaşcu, C. A., & Tegolo, D. (2018) · IET Computer Vision · doi:10.1049/iet-cvi.2018.5217 · Cited by 4
Ye, M., Xu, L., Fu, M., Chen, D., Mattina, T., Zuffardi, O., Rossi, E. G., Bush, K. T., Nigám, S. K., & Grossfeld, P. (2018) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.40481 · Cited by 4
Accumulation of α-2,6-sialyoglycoproteins in the muscle sarcoplasm due to Trichinella sp. invasion
Milcheva, R. S., Janega, P., Celec, P., Petkova, S. L., Hurníková, Z., Izrael-Vlková, B., Todorova, K. S., & Babál, P. (2019) · Open Life Sciences · doi:10.1515/biol-2019-0053 · Cited by 4
Itoh, Y., Sahni, V., Shnider, S. J., & Macklis, J. D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.26.437104 · Cited by 4
Ferrena, A., Zhang, X., Shrestha, R., Zheng, D., & Liu, W. (2024) · PLoS ONE · doi:10.1371/journal.pone.0308839 · Cited by 3
Burden, S. J., Hubbard, S. R., Zhang, W., & Yumoto, N. (2015) · Springer eBooks · doi:10.1007/978-3-319-11888-8_9 · Cited by 4
Li, F., Mi, R., Fan, C., Zhang, P., Zhu, T., Wang, Q., Lu, Y., Gu, J., & Zheng, Q. (2016) · PubMed Central · Cited by 3
Benson, D. L. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0743-19.2019 · Cited by 3
Hutchings, C., & Sela‐Donenfeld, D. (2023) · Differentiation · doi:10.1016/j.diff.2023.09.003 · Cited by 3
Altered GABAA receptor expression as biomarker of mercury toxicity in embryonic neurogenesis
Ayensu, W. K., Isokpehi, R. D., Cohly, H., Murray, J. M., Webb, D. J., & Tchounwou, P. B. (2009) · ORNL Biomedical Science & Engineering Conference (BSEC) · doi:10.1109/bsec.2009.5090491 · Cited by 3
Luo, Z.-J., Li, H., Yang, L., Kang, B., & Cai, T. (2022) · Bone · doi:10.1016/j.bone.2022.116508 · Cited by 3
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England, A. R., Chaney, C. P., Das, A., Patel, M., Malewsak, A., Armendariz, D. A., Hon, G. C., Strand, D. W., Drake, K. A., & Carroll, T. J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.02.973966 · Cited by 3
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Amato, E., Taroc, E. Z. M., & Forni, P. E. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.31.555770 · Cited by 3
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Harbison, S. T., Peiravi, M., Zhang, F., Yimam, S., Noguchi, A. C., & Springer, D. (2024) · SLEEP Advances · doi:10.1093/sleepadvances/zpae092 · Cited by 2
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Lv, Y., Zou, W., Li, L., Zhang, S., Liang, J., Pu, J., & Jiao, J. (2025) · Advanced Science · doi:10.1002/advs.202501593 · Cited by 2
Li, X., Rong, K., Huang, Y., Zhao, Z., Xu, C., Li, L., Zhang, Y., Yan, Y., Huang, W., Zhang, Y., et al. (2025) · The FASEB Journal · doi:10.1096/fj.202500432r · Cited by 2
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Zhang, J., Li, Y.-X., Huang, Q., Yuan, Y., Chen, J.-Y., Yang, F.-W., Yang, L., Liu, L., & Yu, Y. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03175-x · Cited by 3
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Şişecioğlu, M., Budak, H., Geffers, L., Çankaya, M., Çiftçi, M., Christina Thaller, B., Gregor Eichele, C., Küfrevioğlu, Ö. İ., & Özdemіr, H. (2015) · Journal of Lipid Research · doi:10.1194/jlr.m059634 · Cited by 2
Rukh, S., Meechan, D. W., Maynard, T. M., & LaMantia, A. (2023) · Developmental Neuroscience · doi:10.1159/000530898 · Cited by 2
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Mills, J. C., Thanintorn, N., Yin, Y., McNeill, H., Ornitz, D. M., & Willet, S. G. (2025) · Developmental Dynamics · doi:10.1002/dvdy.70000 · Cited by 2
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Emerson, S. E., Grebber, B., McNellis, M. E., Orr, A. R., Deming, P. B., & Ebert, A. M. (2018) · Gene Expression Patterns · doi:10.1016/j.gep.2018.11.001 · Cited by 2
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Mezache, L., Mikhail, M., Fassan, M., Chilosi, M., & Nuovo, G. J. (2015) · Neuromethods · doi:10.1007/978-1-4939-2303-8_1 · Cited by 2
Enlow, M., Ju, T., Kakadiaris, I. A., & Carson, J. P. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091994 · Cited by 2
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Matthes, M., Preusse, M., Zhang, J., Schechter, J., Mayer, D., Lentes, B., Theis, F. J., Prakash, N., Wurst, W., & Trümbach, D. (2014) · Database · doi:10.1093/database/bau083 · Cited by 2
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Cotoras, D. D., & Allende, M. L. (2015) · Bijdragen tot de Dierkunde · doi:10.1163/18759866-08404004 · Cited by 2
Söll, I., & Hauptmann, G. (2015) · Neuromethods · doi:10.1007/978-1-4939-2303-8_9 · Cited by 2
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Vijayakumar, S., Kraus, P., & Lufkin, T. (2018) · InTech eBooks · doi:10.5772/intechopen.71920 · Cited by 4
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(2013) · PEDIATRICS · doi:10.1542/peds.2013-0533d · Cited by 2
Yin, Y., Haller, M., Li, T., & Ma, L. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac300 · Cited by 2
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Desbiens, S., & Farb, D. H. (2010) · Pharmaceutical Sciences Encyclopedia · doi:10.1002/9780470571224.pse416 · Cited by 2
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Hitz, M., Perreault, L. L., Marshall, C. R., Zada, Y. F., Davies, R., Yang, S. W., Lionel, A. C., D’Amours, G., Lemyre, E., Cullum, R., et al. (2013) · PLoS Genetics · doi:10.1371/annotation/8bc63544-9ed4-42ca-a830-e8058ab13bab · Cited by 2
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Burroughs, R. W., Percival, C. J., & Vitek, N. (2026) · Journal of Experimental Zoology Part B Molecular and Developmental Evolution · doi:10.1002/jezb.70004 · Cited by 1
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Hoch, R. V., & Soriano, P. M. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-405945-0.00001-6 · Cited by 1
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Agoulnik, A. I., & Feng, S. (2007) · Humana Press eBooks · doi:10.1007/978-1-59745-176-5_11 · Cited by 1
Deimination in Ocular Tissues: Present and Future
Ding, D., Enriquez‐Algeciras, M., Bonilha, V. L., & Bhattacharya, S. K. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8317-5_16 · Cited by 1
Gabor Features for the Classification and Evaluation of Chromogenic In-Situ Hybridization Images
Pavlov, S., Момчева, Г., Burlakova, P., Atanasov, S., Stoyanov, D. S., Ivanov, M. N., & Tonchev, A. B. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-96638-6_39 · Cited by 1
High-Throughput In Situ Hybridization: Systematical Production of Gene Expression Data and Beyond
Geffers, L., & Gregor Eichele, C. (2015) · Neuromethods · doi:10.1007/978-1-4939-2303-8_11 · Cited by 1
Utilizing Autoencoders for Analysis and Classification of Microscopic in Situ Hybridization Images
Yanev, A., Момчева, Г., & Pavlov, S. (2023) · Proceedings of the Bulgarian Academy of Sciences · doi:10.7546/crabs.2023.11.11 · Cited by 1
Current State of In Situ Gene Expression Studies in Animal Tissues
Bytov, M. V., Zubareva, V. D., Volskaya, S. V., Khatsko, S. L., Shkuratova, I. A., & Sokolova, O. V. (2024) · Russian Journal of Genetics · doi:10.1134/s1022795424010046 · Cited by 1
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Gualán, A. P. M., Güngör, A., Cezayirli, P. C., Rahmanov, S., Gurses, M. E., Puelles, L., & Türe, U. (2024) · Brain Research · doi:10.1016/j.brainres.2024.148961 · Cited by 1
Rosati, P., Lupaşcu, C. A., & Tegolo, D. (2018) · International Conference on Computing and Network Communications · doi:10.1109/coconet.2018.8476886 · Cited by 1
Gene Regulatory Programs in the Development of Hypothalamic Arcuate Nucleus Neurons
Lee, J. W., Huisman, C., & Lee, S. (2020) · Masterclass in neuroendocrinology · doi:10.1007/978-3-030-40002-6_4 · Cited by 1
Visualization of image data from cells to
Shattuck, D. W., Baldock, R., Bastin, M. E., Carpenter, A. E., Duce, S., Ellenberg, J., Fraser, A. N., Hamilton, N., Pieper, S., Ragan, M. A., et al. (2010) · Cited by 1
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Gutierrez, M. A., Dwyer, B. E., & Franco, S. J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.30.925537 · Cited by 1
“Integration of multimodal data in the developing tooth reveals candidate dental disease genes”Preprint
Winchester, E. W., Hardy, A., & Cotney, J. L. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.15.483501 · Cited by 1
Sokpor, G., Ulmke, P. A., Nguyen, H. D., Pham, L., Kakani, P., Chu, V. T., Arnold, S. J., Brand‐Saberi, B., Nguyen, H. P., & Tuoc, T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.05.621758 · Cited by 1
Wirta, V., & Lundeberg, J. (2008) · Wiley Encyclopedia of Chemical Biology · doi:10.1002/9780470048672.wecb602
Growing Up POMC: Pro-opiomelanocortin in the Developing Brain
Padilla, S. L. (2011) · doi:10.7916/d80g3s3v
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de Boer, B. A., Ruijter, J. M., Voorbraak, F. P. J. M., & Moorman, A. F. M. (2009)
Advances in genomic study of cortical projection neurons
Qu, C., & Chen, J. (2010) · Frontiers in Biology · doi:10.1007/s11515-010-0670-9
Romand, R., Ripp, R., Poidevin, L., Boeglin, M., Geffers, L., Dollé, P., & Poch, O. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118024
Visually Relating Gene Expression and in vivo DNA Binding Data
Huang, M.-Y., Mackey, L. W., Keränen, S. V. E., Weber, G. H., Jordan, M. I., Knowles, D. W., Biggin, M. D., & Bernd Hamann, A. (2011) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2011.85
Nucleic Acid Extraction and Detection Across Two-Dimensional Tissue Samples
Armani, M. D. (2010) · University Libraries (University of Maryland)
BoneMorphogeneticProteins,EyePatterning,and RetinocollicularMapFormationintheMouse
Plas, D. T., & Dhande, O. S. (2008)
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Krueger, K. C. (2009) · OhioLink ETD Center (Ohio Library and Information Network)
In Vivo Analysis of Human LHX3 Gene Regulation
Mullen, R. D. (2011) · IUScholarWorks (Indiana University) · doi:10.7912/c2/1785
Krill, K. T. (2014) · Deep Blue (University of Michigan)
豊岡, 理. (2014) · Institutional Repositories DataBase (IRDB) · doi:10.15083/00007875
Gene expression profile data of the developing small intestine of Id2-deficient mice
Mori, K., Tamada, K., Kurooka, H., Matsui, M., Takumi, T., & Yokota, Y. (2019) · Data in Brief · doi:10.1016/j.dib.2019.103717
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Mingo-Moreno, N. (2019) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7335
Early Concepts and Terminology
Collins, P. (2020) · Elsevier eBooks · doi:10.1016/b978-0-7020-6956-7.00001-4
Novel Algorithms for Cross-Ontology Multi-Level Data Mining
Manda, P. (2020)
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Winchester, E. W., & Cotney, J. L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.14.448115
Pasterkamp, R. J., & van Battum, E. Y. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.738379358.793584781
Kiebler, M. A., Moya, S. M. F., & Ehses, J. (2017) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.727072594.793538406
Javerzat, S., Franco, M., Herbert, J. J., Platonova, N., Peille, A.-L., Pantesco, V., Vos, J. D., Assou, S., Bicknell, R., Bikfalvi, A., et al. (2010) · PLoS ONE · doi:10.1371/annotation/110bdc8c-b16e-4043-816c-a3f8105ca061
miR-148a-3p inhibits osteogenesis by targeting Itga11 via PI3K/Akt/GSK3/β-catenin pathwayPreprint
Chen, X., Rong, K., Li, X., Han, W., Pang, Y., & Chai, G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.23.513322
Liu, W., Shrestha, R., Lowe, A., Zhang, X., & Spaeth, L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.22.533827
Liu, W., Shrestha, R., Lowe, A., Zhang, X., & Spaeth, L. (2023) · eLife · doi:10.7554/elife.87306.1
Liu, W., Shrestha, R., Lowe, A., Zhang, X., & Spaeth, L. (2023) · eLife · doi:10.7554/elife.87306.2
Genome-wide association study for age-related hearing loss in CFW micePreprint
Polesskaya, O., Boussaty, E. C., Cheng, R., Lamonte, O. A., Zhou, T. Y., Du, E. Y., Sanches, T. M., Nguyen, K., Okamoto, M., Palmer, A. A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.10.598304
Metadata
- Authors
- Visel, A.
- Affiliations
- Max Planck Society (DE)
- Corresponding author
- Visel, A.
- ORCID
- Visel, A.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-01-01
- Volume
- 32
- Issue
- 90001
- Pages
- 552D-556
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC308763
- OpenAlex
- W1985901090
- Cited by
- 528
- References
- 15
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 26 · 2023: 25 · 2022: 15 · 2021: 25 · 2020: 23 · 2019: 27 · 2018: 16 · 2017: 16 · 2016: 28 · 2015: 27 · 2014: 25 · 2013: 38 · 2012: 21
- FWCI
- 3.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nucleic Acids Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- European Commission
- Boehringer Ingelheim Fonds
- Max-Planck-Gesellschaft
- National Institute of Neurological Disorders and Stroke
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- gene expression patterns, mouse embryo, E14.5, RNA in situ hybridization, relational databases, virtual microscope, gene expression atlas
- MeSH terms
- Animals, Brain, Embryo, Mammalian, RNA, Messenger, Software, RNA Probes, Information Storage and Retrieval, In Situ Hybridization, Gene Expression Regulation, Developmental, Computational Biology, Internet, Gene Expression Profiling, Databases, Genetic, Mice
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