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Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Open accessAbstract
The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexible and open design that facilitates submission, storage and retrieval of heterogeneous data sets from high-throughput gene expression and genomic hybridization experiments. GEO is not intended to replace in house gene expression databases that benefit from coherent data sets, and which are constructed to facilitate a particular analytic method, but rather complement these by acting as a tertiary, central data distribution hub. The three central data entities of GEO are platforms, samples and series, and were designed with gene expression and genomic hybridization experiments in mind. A platform is, essentially, a list of probes that define what set of molecules may be detected. A sample describes the set of molecules that are being probed and references a single platform used to generate its molecular abundance data. A series organizes samples into the meaningful data sets which make up an experiment. The GEO repository is publicly accessible through the World Wide Web at http://www.ncbi.nlm.nih.gov/geo.
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“The microarray data have been deposited in MIAME compliant format in the NCBI’s Gene Expression Omnibus public repository ([38]; GEO accession no. GSE168390).”
From Effect of Ecdysterone on the Hepatic Transcriptome and Lipid Metabolism in Lean and Obese Zucker Rats (2021) · cites this paper as [38]
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Cites
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609
Serial Analysis of Gene Expression
Velculescu, V. E., Zhang, L., Vogelstein, B., & Kinzler, K. W. (1995) · Science · doi:10.1126/science.270.5235.484 · Cited by 3,713
Gene expression informatics —it's all in your mine
Bassett, D. E., Eisen, M. B., & Boguski, M. S. (1999) · Nature Genetics · doi:10.1038/4478 · Cited by 400
Using oligonucleotide probe arrays to access genetic diversity
Lipshutz, R. J., Morris, D., Chee, M. S., Hubbell, E. A., Kozal, M. J., Shah, N. M., Shen, N., Yang, R., & Fodor, S. P. A. (1999) · Birkhäuser Basel eBooks · doi:10.1007/978-3-0348-8817-2_9 · Cited by 339
One-stop shop for microarray data
Brāzma, A., Robinson, A. J., Cameron, G. N., & Ashburner, M. (2000) · Nature · doi:10.1038/35001676 · Cited by 157
Kellam, P. (2001) · Genome biology · doi:10.1186/gb-2001-2-5-reports4011 · Cited by 20
Unlimited Access—Limitless SuccessPreprint
Goodman, L. (2001) · Genome Research · doi:10.1101/gr.11.5.637 · Cited by 7
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Shin, E. M., Hay, H. S., Lee, M. H., Goh, J. N., Tan, T. Z., Sen, Y. P., Lim, S. W., Yousef, E. M., Ong, H. T., Thike, A. A., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci73451 · Cited by 132
Uncovering signal transduction networks from high-throughput data by integer linear programming
Zhao, X., Wang, R., Chen, L., & Aihara, K. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn145 · Cited by 132
Li, D., Zhang, Y., Hu, X., Shen, X., Ma, L., Su, Z., Wang, T., & Dong, J. (2011) · BMC Plant Biology · doi:10.1186/1471-2229-11-109 · Cited by 134
Bosch, M., Mayer, C., Cookson, A., & Donnison, I. S. (2011) · Journal of Experimental Botany · doi:10.1093/jxb/err045 · Cited by 130
Selective Tropism of Seneca Valley Virus for Variant Subtype Small Cell Lung Cancer
Poirier, J. T., Dobromilskaya, I., Moriarty, W. F., Peacock, C. D., Hann, C. L., & Rudin, C. M. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djt130 · Cited by 133
IgG Glycome in Colorectal Cancer
Vučković, F., Τheodoratou, E., Thaçi, K., Timofeeva, M. N., Vojta, A., Štambuk, J., Pučić‐Baković, M., Rudd, P. M., Đerek, L., Servis, D., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1867 · Cited by 133
U2AF35(S34F) Promotes Transformation by Directing Aberrant ATG7 Pre-mRNA 3′ End Formation
Park, S. M., Ou, J., Chamberlain, L., Simone, T. M., Yang, H., Virbasius, C.-M. A., Ali, A. M., Zhu, L. J., Mukherjee, S., Raza, A., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.04.011 · Cited by 135
A systematic comparative evaluation of biclustering techniques
Padilha, V., & Campello, R. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1487-1 · Cited by 145
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Zhang, Z., Newton, K., Kummerfeld, S., Webster, J. D., Kirkpatrick, D. S., Phu, L., Eastham‐Anderson, J., Liu, J., Lee, W. P., Wu, J., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1621177114 · Cited by 126
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Marshall‐Colón, A., Long, S. P., Allen, D. K., Allen, G., Beard, D. A., Beneš, B., von Caemmerer, S., Christensen, A., Cox, D., Hart, J. C., et al. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00786 · Cited by 137
Romick‐Rosendale, L. E., Haslam, D. B., Lane, A., Denson, L. A., Lake, K. E., Wilkey, A., Watanabe, M., Bauer, S. J., Litts, B., Luebbering, N., et al. (2018) · Transplantation and Cellular Therapy · doi:10.1016/j.bbmt.2018.07.030 · Cited by 134
Long, Y., Tao, H., Karachi, A., Grippin, A., Jin, L., Chang, Y., Zhang, W., Dyson, K. A., Hou, A. Y., Meng, N., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-19-1577 · Cited by 131
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Blake, L. E., Roux, J., Hernando-Herraez, I., Banovich, N. E., García-Pérez, R., Hsiao, C. J., Eres, I. E., Chavarria, C., Marquès‐Bonet, T., & Gilad, Y. (2020) · Genome Research · doi:10.1101/gr.254904.119 · Cited by 132
Remus, D. M., van Kranenburg, R., van Swam, I. I., Taverne, N., Bongers, R. S., Wels, M., Wells, J. M., Bron, P. A., & Kleerebezem, M. (2012) · Microbial Cell Factories · doi:10.1186/1475-2859-11-149 · Cited by 131
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The Drosophila PGC‐1 homologue Spargel coordinates mitochondrial activity to insulin signalling
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Oncogenic Properties of Apoptotic Tumor Cells in Aggressive B Cell Lymphoma
Ford, C. A., Petrova, S., Pound, J. D., Voss, J. J. L. P., Melville, L. A., Paterson, M., Farnworth, S. L., Gallimore, A., Cuff, S. M., Wheadon, H., et al. (2015) · Current Biology · doi:10.1016/j.cub.2014.12.059 · Cited by 133
Genome-scale analysis of replication timing: from bench to bioinformatics
Ryba, T., Battaglia, D., Pope, B. D., Hiratani, I., & Gilbert, D. M. (2011) · Nature Protocols · doi:10.1038/nprot.2011.328 · Cited by 131
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Paone, A., Marani, M., Fiascarelli, A., Rinaldo, S., Giardina, G., Contestabile, R., Paiardini, A., & Cutruzzolà, F. (2014) · Cell Death and Disease · doi:10.1038/cddis.2014.482 · Cited by 132
Lusis, A. J., & Weiss, J. N. (2010) · Circulation · doi:10.1161/circulationaha.108.847699 · Cited by 131
Fast integration of heterogeneous data sources for predicting gene function with limited annotation
Mostafavi, S., & Morris, Q. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq262 · Cited by 131
Individual-level analysis of differential expression of genes and pathways for personalized medicine
Wang, H., Sun, Q., Zhao, W., Qi, L., Gu, Y., Li, P., Zhang, M., Li, Y., Liu, S., & Guo, Z. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu522 · Cited by 131
Lanza, M., García‐Ponce, B., Castrillo, G., Catarecha, P., Sauer, M., Rodríguez‐Serrano, M., Páez-García, A., Sánchez-Bermejo, E., Mohan, T. C., del Puerto, Y. L., et al. (2012) · Developmental Cell · doi:10.1016/j.devcel.2012.04.008 · Cited by 134
Glucocorticoid receptor binds half sites as a monomer and regulates specific target genes
Schiller, B. J., Chodankar, R., Watson, L., Stallcup, M. R., & Yamamoto, K. R. (2014) · Genome biology · doi:10.1186/s13059-014-0418-y · Cited by 135
Yuan, F., Lyu, M. A., Leng, B., Zhu, X., & Wang, B. (2016) · Plant Molecular Biology · doi:10.1007/s11103-016-0460-0 · Cited by 131
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Denk, F., Crow, M., Didangelos, A., Lopes, D. M., & McMahon, S. B. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.04.063 · Cited by 128
Multi-hit early life adversity affects gut microbiota, brain and behavior in a sex-dependent manner
Rincel, M., Aubert, P., Chevalier, J., Grohard, P. ‐., Basso, L., de Oliveira, C. M., Helbling, J., Lévy, É., Chevalier, G., Leboyer, M., et al. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.03.006 · Cited by 139
Arruabarrena-Aristorena, A., Maag, J. L. V., Kittane, S., Cai, Y., Karthaus, W. R., Ladewig, E., Park, J., Kannan, S., Ferrando, L., Cocco, E., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.08.003 · Cited by 130
Benita, Y., Cao, Z., Giallourakis, C. C., Li, C., Gardet, A., & Xavier, R. J. (2010) · Blood · doi:10.1182/blood-2010-01-263855 · Cited by 130
Kandasamy, M., Lehner, B., Kraus, S., Ramm, P., Marschallinger, J., Rivera, F. J., Trümbach, D., Ueberham, U., Reitsamer, H. A., Strauß, O., et al. (2014) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.12298 · Cited by 135
Global gene expression during nitrogen starvation in the rice blast fungus, Magnaporthe grisea
Donofrio, N. M., Oh, Y., Lundy, R., Pan, H. H., Brown, D., Jeong, J. S., Coughlan, S., Mitchell, T. K., & Dean, R. A. (2006) · Fungal Genetics and Biology · doi:10.1016/j.fgb.2006.03.005 · Cited by 130
WheatExp: an RNA-seq expression database for polyploid wheat
Pearce, S. P., Vasquez-Gross, H. A., Herin, S. Y., Hane, D. L., Wang, Y., Gu, Y., & Dubcovsky, J. (2015) · BMC Plant Biology · doi:10.1186/s12870-015-0692-1 · Cited by 130
The Lupus Autoantigen La Prevents Mis-channeling of tRNA Fragments into the Human MicroRNA Pathway
Hasler, D., Lehmann, G. J., Murakawa, Y., Klironomos, F., Jakob, L., Grässer, F. A., Rajewsky, N., Landthaler, M., & Meister, G. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.05.026 · Cited by 131
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Wright, V., Herberg, J. A., Kaforou, M., Shimizu, C., Eleftherohorinou, H., Shailes, H., Barendregt, A. M., Menikou, S., Gormley, S., Berk, M., et al. (2018) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2018.2293 · Cited by 133
The SIN3A histone deacetylase complex is required for a complete transcriptional response to hypoxia
Tiana, M., Acosta‐Iborra, B., Puente-Santamaría, L., Hernansanz‐Agustín, P., Worsley-Hunt, R., Masson, N., Rio, F. G., Mole, D. R., Ratcliffe, P. J., Wasserman, W. W., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx951 · Cited by 124
Mühlhofer, M., Berchtold, E., Stratil, C., Csaba, G., Kunold, E., Bach, N. C., Sieber, S. A., Haslbeck, M., Zimmer, R., & Büchner, J. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.11.109 · Cited by 132
Indole cell signaling occurs primarily at low temperatures in Escherichia coli
Lee, J., Zhang, X., Hegde, M., Bentley, W. E., Jayaraman, A., & Wood, T. K. (2008) · The ISME Journal · doi:10.1038/ismej.2008.54 · Cited by 130
Bionaz, M., Periasamy, K., Rodriguez‐Zas, S. L., Everts, R. E., Lewin, H. A., Hurley, W. L., & Loor, J. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033268 · Cited by 132
Lee, J., Maeda, T., Hong, S. H., & Wood, T. K. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.02081-08 · Cited by 129
Alexander-Dann, B., Pruteanu, L.-L., Oerton, E., Sharma, N., Berindan‐Neagoe, I., Módos, D., & Bender, A. (2018) · Molecular Omics · doi:10.1039/c8mo00042e · Cited by 142
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Rueda, E. M., Hall, B. M., Hill, M. C., Swinton, P. G., Tong, X., Martin, J. F., & Poché, R. A. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.04.047 · Cited by 130
Li, Z., Huang, Z., Zhang, H., Lu, J., Tian, Y., Wei, Y., Yang, Y., & Bai, L. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/8868361 · Cited by 131
AMPK agonist AICAR improves cognition and motor coordination in young and aged micePreprint
Kobilo, T., Guerrieri, D., Zhang, Y., Collica, S. C., Becker, K. G., & van Praag, H. (2014) · Learning & Memory · doi:10.1101/lm.033332.113 · Cited by 130
Sanin, D. E., Prendergast, C. T., & Mountford, A. P. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1500146 · Cited by 128
Chromium stress response effect on signal transduction and expression of signaling genes in rice
Trinh, N., Huang, T., Chi, W.-C., Fu, S., Chen, C., & Huang, H.-J. (2013) · Physiologia Plantarum · doi:10.1111/ppl.12088 · Cited by 128
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Visser, U., Abeyruwan, S. W., Vempati, U. D., Smith, R. P., Lemmon, V., & Schürer, S. C. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-257 · Cited by 128
Fan, C., Hao, Z., Yan, J., & Li, G. (2015) · BMC Genomics · doi:10.1186/s12864-015-2024-0 · Cited by 127
Syed, S. M., Kumar, M., Ghosh, A., Tomasetig, F., Ali, A., Whan, R. M., Alterman, D., & Tanwar, P. S. (2019) · Cell stem cell · doi:10.1016/j.stem.2019.11.012 · Cited by 129
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Host–pathogen protein interactions predicted by comparative modeling
Davis, F. P., Barkan, D. T., Eswar, N., McKerrow, J. H., & Šali, A. (2007) · Protein Science · doi:10.1110/ps.073228407 · Cited by 127
Hagenaars, A., Vergauwen, L., Benoot, D., Laukens, K., & Knapen, D. (2013) · Chemosphere · doi:10.1016/j.chemosphere.2013.01.056 · Cited by 129
Hagman, Z., Haflidadóttir, B. S., Ceder, J. A., Larne, O., Bjartell, A. S., Lilja, H. G., Edsjö, A., & Ceder, Y. (2013) · British Journal of Cancer · doi:10.1038/bjc.2013.131 · Cited by 128
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Baejen, C., Torkler, P., Gressel, S., Essig, K., Söding, J., & Cramer, P. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.08.005 · Cited by 127
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Somvanshi, V. S., Sloup, R. E., Crawford, J. M., Martin, A. R., Heidt, A. J., Kim, K., Clardy, J., & Ciche, T. A. (2012) · Science · doi:10.1126/science.1216641 · Cited by 126
DELLA genes restrict inflorescence meristem function independently of plant height
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Edelman, L. B., Eddy, J. A., & Price, N. D. (2009) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.75 · Cited by 127
Calabrò, A., Beißbarth, T., Kuner, R., Stojanov, M., Benner, A., Asslaber, M., Ploner, F., Zatloukal, K., Samonigg, H., Poustka, A., et al. (2008) · Breast Cancer Research and Treatment · doi:10.1007/s10549-008-0105-3 · Cited by 127
Subgroup-specific immune and stromal microenvironment in medulloblastoma
Bockmayr, M., Mohme, M., Klauschen, F., Winkler, B., Budczies, J., Rutkowski, S., & Schüller, U. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1462430 · Cited by 121
Kohli, D., Joshi, G. K., Deokar, A., Bhardwaj, A. R., Agarwal, M., Katiyar‐Agarwal, S., Srinivasan, R., & Jain, P. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108851 · Cited by 127
Pals, J. A., Attene‐Ramos, M. S., Xia, M., Wagner, E. D., & Plewa, M. J. (2013) · Environmental Science & Technology · doi:10.1021/es403171b · Cited by 129
Jing, D., Bhadri, V. A., Beck, D., Thoms, J. A. I., Yakob, N. A., Wong, J. W. H., Knezevic, K., Pimanda, J. E., & Lock, R. B. (2014) · Blood · doi:10.1182/blood-2014-05-576470 · Cited by 124
Cahan, P., Rovegno, F., Mooney, D. L., Newman, J. C., Laurent, G. S., & McCaffrey, T. A. (2007) · Gene · doi:10.1016/j.gene.2007.06.016 · Cited by 129
Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics
Joshi, T., Patil, K., Fitzpatrick, M. R., Franklin, L. D., Yao, Q., Cook, J. R., Wang, Z., Libault, M., Brechenmacher, L., Valliyodan, B., et al. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-s1-s15 · Cited by 126
Dickens, N. J., Walker, B. A., Leone, P., Johnson, D. C., Brito, J. L. R., Zeisig, A., Jenner, M. W., Boyd, K. D., Gonzalez, D., Gregory, W. M., et al. (2010) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-2831 · Cited by 125
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Nolivos, S., Upton, A. L., Badrinarayanan, A., Müller, J., Zawadzka, K., Wiktor, J., Gill, A., Arciszewska, L. K., Nicolas, É., & Sherratt, D. J. (2016) · Nature Communications · doi:10.1038/ncomms10466 · Cited by 126
Kim, H. J., Park, J.-H., Kim, J., Kim, J. J., Hong, S., Kim, J., Kim, J. H., Woo, H. R., Hyeon, C., Lim, P. O., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1721523115 · Cited by 128
Oestrogen engages brain MC4R signalling to drive physical activity in female mice
Krause, W. C., Rodríguez, R., Gegenhuber, B., Matharu, N. K., Rodriguez, A. N., Padilla-Roger, A. M., Toma, K., Herber, C. B., Correa, S. M., Duan, X., et al. (2021) · Nature · doi:10.1038/s41586-021-04010-3 · Cited by 133
Research resources for Drosophila: the expanding universe
Matthews, K. A., Kaufman, T. C., & Gelbart, W. M. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1554 · Cited by 126
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Haas, K., Weighardt, H., Deenen, R., Köhrer, K., Clausen, B., Zahner, S., Boukamp, P., Bloch, W., Krutmann, J., & Esser, C. (2016) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2016.06.627 · Cited by 125
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Chang, C. J., Maloof, J., & Wu, S. (2011) · PLANT PHYSIOLOGY · doi:10.1104/pp.111.175042 · Cited by 125
Thompson, A., Huang, K. H., Saito, M. A., & Chisholm, S. W. (2011) · The ISME Journal · doi:10.1038/ismej.2011.49 · Cited by 125
Dunn, S. L., Soul, J., Anand, S., Schwartz, J., Boot-Handford, R., & Hardingham, T. (2016) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2016.03.007 · Cited by 125
Circular RNA expression is abundant and correlated to aggressiveness in early-stage bladder cancer
Okholm, T. L. H., Nielsen, M. M., Hamilton, M. P., Christensen, L.-L., Vang, S., Hedegaard, J., Hansen, T. B., Kjems, J., Dyrskjøt, L., & Pedersen, J. S. (2017) · npj Genomic Medicine · doi:10.1038/s41525-017-0038-z · Cited by 124
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Nassrallah, A., Rougée, M., Bourbousse, C., Drevensek, S., Fonseca, S., Iniesto, E., Aït-Mohamed, O., Deton-Cabanillas, A.-F., Zabulon, G., Ahmed, I., et al. (2018) · eLife · doi:10.7554/elife.37892 · Cited by 125
Zuo, Z., Weraduwage, S. M., Lantz, A. T., Sanchez, L. M., Weise, S. E., Wang, J., Childs, K. L., & Sharkey, T. D. (2019) · PLANT PHYSIOLOGY · doi:10.1104/pp.18.01391 · Cited by 125
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Cocciardi, S., Dolnik, A., Kapp‐Schwoerer, S., Rücker, F. G., Lux, S., Blätte, T. J., Skambraks, S., Krönke, J., Heidel, F. H., Schnoeder, T. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09745-2 · Cited by 128
Wang, J., Coombes, K. R., Highsmith, W. E., Keating, M., & Abruzzo, L. V. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth381 · Cited by 125
Current Concepts of Follicle-Stimulating Hormone Receptor Gene Regulation1
George, J. W., Dille, E. A., & Heckert, L. L. (2010) · Biology of Reproduction · doi:10.1095/biolreprod.110.085043 · Cited by 129
Determining sequencing depth in a single-cell RNA-seq experiment
Zhang, M. J., Ntranos, V., & Tse, D. (2020) · Nature Communications · doi:10.1038/s41467-020-14482-y · Cited by 112
Genome-defence small RNAs exapted for epigenetic mating-type inheritance
Singh, D. P., Saudemont, B., Guglielmi, G., Arnaiz, O., Goût, J.-F., Prajer, M., Potekhin, A. A., Przyboś, E., Fleury‐Aubusson, A., Bhullar, S., et al. (2014) · Nature · doi:10.1038/nature13318 · Cited by 132
Parnell, G. P., McLean, A. S., Booth, D. R., Armstrong, N. J., Nalos, M., Huang, S., Maňák, J., Tang, W., Tam, O.-Y., Chan, S., et al. (2012) · Critical Care · doi:10.1186/cc11477 · Cited by 120
Maia, J., Dekkers, B. J. W., Provart, N. J., Ligterink, W., & Hilhorst, H. W. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0029123 · Cited by 124
Zhao, W., Luo, J., & Jiao, S. (2014) · Scientific Reports · doi:10.1038/srep06591 · Cited by 123
Coronavirus non-structural protein 16: Evasion, attenuation, and possible treatments
Menachery, V. D., Debbink, K. M., & Baric, R. S. (2014) · Virus Research · doi:10.1016/j.virusres.2014.09.009 · Cited by 124
Stetina, S. E. V., Watson, J. D., Fox, R. M., Olszewski, K. L., Spencer, W. C., Roy, P. J., & Miller, D. M. (2007) · Genome biology · doi:10.1186/gb-2007-8-7-r135 · Cited by 124
DNA Methylation Biomarkers for Noninvasive Diagnosis of Colorectal Cancer
Carmona, F. J., Azuara, D., Berenguer, A., Fernández, A. F., Biondo, S., de, J., Rodríguez‐Moranta, F., Salazar, R., Villanueva, A., Fraga, M. F., et al. (2013) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-12-0501 · Cited by 124
MAPK Reliance via Acquired CDK4/6 Inhibitor Resistance in Cancer
de Leeuw, R., McNair, C. M., Schiewer, M. J., Neupane, N. P., Brand, L. J., Augello, M. A., Li, Z., Cheng, L. C., Yoshida, A., Courtney, S. M., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-0410 · Cited by 126
LCE: an open web portal to explore gene expression and clinical associations in lung cancer
Cai, L., Lin, S.-Y., Girard, L., Zhou, Y., Yang, L., Ci, B., Zhou, Q., Luo, D., Yao, B., Tang, H., et al. (2018) · Oncogene · doi:10.1038/s41388-018-0588-2 · Cited by 125
Retention of paternal DNA methylome in the developing zebrafish germline
Skvortsova, K., Tarbashevich, K., Stehling, M., Lister, R., Irimia, M., Raz, E., & Bogdanović, O. (2019) · Nature Communications · doi:10.1038/s41467-019-10895-6 · Cited by 126
Safarchi, A., Al-Qadami, G. H., Tran, C. D., & Conlon, M. A. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1559521 · Cited by 145
Using microarray gene signatures to elucidate mechanisms of antibiotic action and resistance
Brazas, M. D., & Hancock, R. E. W. (2005) · Drug Discovery Today · doi:10.1016/s1359-6446(05)03566-x · Cited by 124
Singh‐Jasuja, H., Emmerich, N., & Rammensee, H. (2004) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-003-0480-x · Cited by 124
L2L: a simple tool for discovering the hidden significance in microarray expression data
Newman, J. C., & Weiner, A. M. (2005) · Genome biology · doi:10.1186/gb-2005-6-9-r81 · Cited by 126
Natoli, R., Zhu, Y. O., Valter, K., Bisti, S., Eells, J., & Stone, J. (2010) · PubMed Central · Cited by 123
A molecular framework for the inhibition of Arabidopsis root growth in response to boron toxicity
Aquea, F., Federici, F., Moscoso, C., Vega, A., Jullian, P., Haseloff, J. P., & Arce‐Johnson, P. (2011) · Plant Cell & Environment · doi:10.1111/j.1365-3040.2011.02446.x · Cited by 122
Sato, Y., Antonio, B. A., Namiki, N., Motoyama, R., Sugimoto, K., Takehisa, H., Minami, H., Kamatsuki, K., Kusaba, M., Hirochika, H., et al. (2011) · BMC Plant Biology · doi:10.1186/1471-2229-11-10 · Cited by 123
Transcriptomic analysis of Clostridium thermocellumATCC 27405 cellulose fermentation
Raman, B., McKeown, C. K., Rodríguez, M., Brown, S. D., & Mielenz, J. R. (2011) · BMC Microbiology · doi:10.1186/1471-2180-11-134 · Cited by 123
Hedgehog pathway-regulated gene networks in cerebellum development and tumorigenesis
Lee, E. Y., Ji, H., Ouyang, Z., Zhou, B., Ma, W., Vokes, S. A., McMahon, A. P., Wong, W. H., & Scott, M. P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004602107 · Cited by 123
Johansson, I., Nilsson, C., Berglund, P., Lauss, M., Ringnér, M., Olsson, H. L., Luts, L., Sim, E., Thorstenson, S., Fjällskog, M.-L., et al. (2012) · Breast Cancer Research · doi:10.1186/bcr3116 · Cited by 127
Metadata
- Authors
- Edgar, R.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Edgar, R.
- ORCID
- Edgar, R.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-01-01
- Volume
- 30
- Issue
- 1
- Pages
- 207-210
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC99122
- OpenAlex
- W2020541351
- Cited by
- 13,288
- References
- 8
- Citations by year
- 2026: 616 · 2025: 746 · 2024: 960 · 2023: 1010 · 2022: 991 · 2021: 1102 · 2020: 991 · 2019: 820 · 2018: 689 · 2017: 668 · 2016: 658 · 2015: 649 · 2014: 638 · 2013: 570 · 2012: 510
- FWCI
- 27.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nucleic Acids Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- Gene Expression Omnibus, gene expression data, genomic hybridization, microarray data, public data repositories, data submission, data storage and retrieval, biological specimen
- MeSH terms
- Animals, Communication, Database Management Systems, Forecasting, Humans, National Library of Medicine (U.S.), United States, Information Storage and Retrieval, Genome, Internet, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Databases, Genetic
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