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The RIN: an RNA integrity number for assigning integrity values to RNA measurements
Open accessAbstract
Background: The integrity of RNA molecules is of paramount importance for experiments that try to reflect the snapshot of gene expression at the moment of RNA extraction. Until recently, there has been no reliable standard for estimating the integrity of RNA samples and the ratio of 28S:18S ribosomal RNA, the common measure for this purpose, has been shown to be inconsistent. The advent of microcapillary electrophoretic RNA separation provides the basis for an automated high-throughput approach, in order to estimate the integrity of RNA samples in an unambiguous way. Methods: A method is introduced that automatically selects features from signal measurements and constructs regression models based on a Bayesian learning technique. Feature spaces of different dimensionality are compared in the Bayesian framework, which allows selecting a final feature combination corresponding to models with high posterior probability. Results: This approach is applied to a large collection of electrophoretic RNA measurements recorded with an Agilent 2100 bioanalyzer to extract an algorithm that describes RNA integrity. The resulting algorithm is a user-independent, automated and reliable procedure for standardization of RNA quality control that allows the calculation of an RNA integrity number (RIN). Conclusion: Our results show the importance of taking characteristics of several regions of the recorded electropherogram into account in order to get a robust and reliable prediction of RNA integrity, especially if compared to traditional methods.
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“In this study, we also excluded 9 cortex and 15 cerebellum samples that had an RNA Integrity Number (RIN)63 less than 7.”
From Pathogenic tau-induced piRNA depletion promotes neuronal death through transposable element dysregulation in neurodegenerative tauopathies (2018) · cites this paper as [63]
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Cites
Molecular Cloning: A Laboratory Manual
Sambrook, J., Fritsch, E., & Maniatis, T. (1989) · UCLA - Biblioteca de Ciencias de la Salud · Cited by 133,589
Molecular cloning: A laboratory manual
Deininger, P. L. (1990) · Analytical Biochemistry · doi:10.1016/0003-2697(90)90595-z · Cited by 84,684
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 37,139
Neural networks for pattern recognition
Bishop, C. (1994) · Choice Reviews Online · doi:10.5860/choice.31-5500 · Cited by 18,537
Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,938
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Density Estimation for Statistics and Data Analysis
(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,569
A practical Bayesian framework for backpropagation networks
MacKay, D. J. C. (1992) · Neural Computation · doi:10.1162/neco.1992.4.3.448 · Cited by 2,917
(1982) · Cited by 1,288
Elements of Information Theory, Wiley Series in Telecommunications
Cover, T. M., & Allen, T. (1991) · Cited by 625
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- Mueller O, Lightfoot S, Schröder A: RNA Integrity Number (RIN) Standardization of RNA Quality Control. Tech. Rep. 5989-1165EN, Agilent Technologies, Application Note. 2004, http://www.agilent.com/chem/labonachip
- Schröder A: Qualitätsbestimmung von RNA-Proben mittels adaptiver Verfahren. Diplomarbeit Universität Karlsruhe. 2003
- Agilent : 2100 expert software. Tech. Rep. 5989-0112EN, Agilent Technologies, Software Data Sheet. 2004, http://www.agilent.com/chem/labonachip
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Baldauf, J. A., Marcon, C., Lithio, A., Vedder, L., Altrogge, L., Piepho, H., Schoof, H., Nettleton, D. S., & Hochholdinger, F. (2018) · Current Biology · doi:10.1016/j.cub.2017.12.027 · Cited by 54
Mapping pathologic circuitry in schizophrenia
Glausier, J. R., & Lewis, D. A. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63639-3.00025-6 · Cited by 53
Spalenza, V., Girolami, F., Bevilacqua, C., Riondato, F., Rasero, R., Nebbia, C., Sacchi, P., & Martin, P. (2010) · The Veterinary Journal · doi:10.1016/j.tvjl.2010.11.017 · Cited by 54
Bari, M. F., Brown, H. J., Nicholson, A. G., Kerr, K. M., Gosney, J. R., Wallace, W. A., Soomro, I. N., Muller, S., Peat, D., Moore, J. D., et al. (2013) · Histopathology · doi:10.1111/his.12278 · Cited by 53
Challenges and emerging trends in liquid chromatography-based analyses of mRNA pharmaceuticals
Fekete, S., Doneanu, C. E., Addepalli, B., Gaye, M. M., Nguyen, J. M., Alden, B. A., Birdsall, R. E., Han, D., Isaac, G., & Lauber, M. A. (2022) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2022.115174 · Cited by 58
An improved method for isolation of RNA from bone
Carter, L. E., Kilroy, G. E., Gimble, J. M., & Floyd, Z. E. (2012) · BMC Biotechnology · doi:10.1186/1472-6750-12-5 · Cited by 53
Biobanking Practice: RNA Storage at Low Concentration Affects Integrity
Olivieri, E. H. R., Franco, L. D. A., Pereira, R. G., Mota, L. D. C., Campos, A. H. J. F. M., & Carraro, D. M. (2014) · Biopreservation and Biobanking · doi:10.1089/bio.2013.0056 · Cited by 53
Sternberg, K., Gratz, M., Köeck, K., Mostertz, J., Begunk, R., Löbler, M., Semmling, B., Seidlitz, A., Hildebrandt, P., Homuth, G., et al. (2011) · Journal of Biomedical Materials Research Part B Applied Biomaterials · doi:10.1002/jbm.b.31918 · Cited by 53
Feng, G., Klein, M. I., Gregoire, S., Singh, A. P., Vorsa, N., & Koo, H. (2013) · Biofouling · doi:10.1080/08927014.2013.794456 · Cited by 52
Buck, V. U., Windoffer, R., Leube, R. E., & Classen-Linke, I. (2012) · Histochemistry and Cell Biology · doi:10.1007/s00418-012-0929-0 · Cited by 53
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Heinze, D. M., Carmical, J. R., Aronson, J. F., & Thangamani, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047301 · Cited by 53
Valvular osteoclasts in calcification and aortic valve stenosis severity
Nagy, E., Eriksson, P. O., Yousry, M., Caidahl, K., Ingelsson, E., Hansson, G. K., Franco‐Cereceda, A., & Bäck, M. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2013.01.207 · Cited by 53
Induction of Immune Mediators in Glioma and Prostate Cancer Cells by Non-Lethal Photodynamic Therapy
Kammerer, R., Büchner, A., Palluch, P., Pongratz, T., Oboukhovskij, K., Beyer, W., Johansson, A., Stepp, H. G., Baumgartner, R., & Zimmermann, W. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021834 · Cited by 58
Beveridge, N. J., Santarelli, D. M., Wang, X., Tooney, P. A., Webster, M. J., Weickert, C. S., & Cairns, M. J. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbs198 · Cited by 52
Keator, C. S., Mah, K., & Slayden, O. D. (2012) · Molecular Human Reproduction · doi:10.1093/molehr/gas006 · Cited by 53
Inferring gene regulatory networks from temporal expression profiles under time-delay and noise
Kim, S., Kim, J., & Cho, K. (2007) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2007.03.013 · Cited by 53
Effects of Delay in the Snap Freezing of Colorectal Cancer Tissues on the Quality of DNA and RNA
Hong, S. H., Baek, H. A., Jang, K. Y., Chung, M. J., Moon, W. S., Kang, M. J., Lee, D. G., & Park, H. S. (2010) · Journal of the Korean Society of Coloproctology · doi:10.3393/jksc.2010.26.5.316 · Cited by 53
Reyes, H. D., Devor, E. J., Warrier, A., Newtson, A. M., Mattson, J. N., Wagner, V. M., Duncan, G. N., Leslie, K. K., & Bosquet, J. G. (2019) · Scientific Reports · doi:10.1038/s41598-019-54401-w · Cited by 52
Maina, S., Donovan, N. J., Plett, K. L., Bogema, D. R., & Rodoni, B. (2024) · Frontiers in Horticulture · doi:10.3389/fhort.2024.1388028 · Cited by 55
Yao, B., Zhao, Y., Wang, Q., Zhang, M., Liu, M., Liu, H., & Li, J. (2011) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-011-1209-3 · Cited by 52
Sodhi, M., Simmons, M. S., McCullumsmith, R. E., Haroutunian, V. H., & Meador‐Woodruff, J. H. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.022 · Cited by 52
Kabakchiev, B., Turner, D., Hyams, J. S., Mack, D. R., LeLeiko, N. S., Crandall, W., Markowitz, J. F., Otley, A. R., Xu, W., Hu, P., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013085 · Cited by 52
Torrell-Galceran, H., Montaña, E., Abasolo-Zabalo, N., Roig, B., Gaviria, A. M., Vilella, E., & Martorell, L. (2013) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32134 · Cited by 53
Pimentel, F., Bonilla, P., Ravishankar, Y. G., Contag, A. G., Gopal, N., LaCour, S., Lee, T., & Niemz, A. (2014) · SLAS TECHNOLOGY · doi:10.1177/2211068214561788 · Cited by 52
Aranda, R., Dineen, S. M., Craig, R. L., Guerrieri, R. A., & Robertson, J. M. (2009) · Analytical Biochemistry · doi:10.1016/j.ab.2009.01.003 · Cited by 52
Gomez, P., Hackett, T., Moore, M. M., Knight, D. A., & Tebbutt, S. J. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-358 · Cited by 52
The Role of Oxidative Stress in Nervous System Aging
Sims‐Robinson, C., Hur, J., Hayes, J. M., Dauch, J. R., Keller, P. J., Brooks, S. V., & Feldman, E. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068011 · Cited by 56
Gene expression profiles of changes underlying different-sized human rotator cuff tendon tears
Chaudhury, S., Xia, Z., Thakkar, D., Hakimi, O., & Carr, A. J. (2016) · Journal of Shoulder and Elbow Surgery · doi:10.1016/j.jse.2016.02.037 · Cited by 52
Foroushani, A. B. K., Agrahari, R., Docking, R., Chang, L., Duns, G., Hudoba, M., Karsan, A., & Zare, H. (2017) · BMC Medical Genomics · doi:10.1186/s12920-017-0253-6 · Cited by 50
van Vliet, E. A., Puhakka, N., Mills, J. D., Srivastava, P. K., Johnson, M. R., Roncon, P., Gupta, S. D., Karttunen, J., Simonato, M., Łukasiuk, K., et al. (2017) · Epilepsia · doi:10.1111/epi.13915 · Cited by 52
Johnstone, A. L., Andrade, N. S., Barbier, E., Khomtchouk, B. B., Rienas, C. A., Lowe, K., Booven, D. J. V., Domi, E., Esanov, R., Vilca, S. J., et al. (2019) · Addiction Biology · doi:10.1111/adb.12816 · Cited by 52
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Qiu, B., Dai, X., Li, P., Larsen, R. S., Li, R., Price, A. L., Ding, G., Texada, M. J., Zhang, X., Zuo, D., et al. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01884-y · Cited by 59
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Kroll, K. W., Mokaram, N. E., Pelletier, A. R., Frankhouser, D. E., Westphal, M. S., Stump, P., Stump, C. L., Bundschuh, R. A., Blachly, J. S., & Yan, P. S. (2014) · Cancer Informatics · doi:10.4137/cin.s14022 · Cited by 51
Kiewe, P. M., Gueller, S., Komor, M., Stroux, A., THIEL, E., & Hofmann, W. (2009) · Annals of Hematology · doi:10.1007/s00277-009-0751-5 · Cited by 51
Søfteland, L., Kirwan, J., Hori, T. S. F., Størseth, T. R., Sommer, U., Berntssen, M. H. G., Viant, M. R., Rise, M. L., Waagbø, R., Torstensen, B. E., et al. (2014) · Food and Chemical Toxicology · doi:10.1016/j.fct.2014.08.008 · Cited by 51
Blood cell mRNAs and microRNAs: optimized protocols for extraction and preservation
Eikmans, M., Rekers, N. V., Anholts, J. D. H., Heidt, S., & Claas, F. H. J. (2013) · Blood · doi:10.1182/blood-2012-06-438887 · Cited by 54
Weißbecker, C., Buscot, F., & Wubet, T. (2017) · Journal of Plant Ecology · doi:10.1093/jpe/rtw042 · Cited by 51
Berta, T., Perrin, F. E., Pertin, M., Tonello, R., Liu, Y., Chamessian, A. G., Kato, A. C., Ji, R., & Décosterd, I. (2017) · Scientific Reports · doi:10.1038/s41598-017-08865-3 · Cited by 49
Giraud, É., Leštinová, T., Derrick, T. R., Martín, O., Dillon, R. J., Volf, P., Müller, I., Bates, P. A., & Rogers, M. E. (2018) · PLoS Pathogens · doi:10.1371/journal.ppat.1006794 · Cited by 51
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Krainer, E. C., Ouderkirk, J. L., Miller, E. W., Miller, M. R., Mersich, A. T., & Blystone, S. D. (2013) · Cytoskeleton · doi:10.1002/cm.21113 · Cited by 50
Junttila, S., Laiho, A., Gyenesei, A., & Rudd, S. A. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-870 · Cited by 50
Hasemeier, B., Christgen, M., Kreipe, H. H., & Lehmann, U. (2008) · BMC Biotechnology · doi:10.1186/1472-6750-8-90 · Cited by 49
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Paul, S., Ghandhi, S. A., Weber, W., Doyle‐Eisele, M., Melo, D. R., Guilmette, R. A., & Amundson, S. A. (2014) · Radiation Research · doi:10.1667/rr13466.1 · Cited by 50
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van der Linden, A., Blokker, B. M., Kap, M., Weustink, A. C., Riegman, P. H. J., & Oosterhuis, J. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115675 · Cited by 50
Ghandhi, S. A., Sinha, A., Markatou, M., & Amundson, S. A. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-2 · Cited by 51
Díaz-Morán, S., Palència, M., Mont-Cardona, C., Cañete, T., Blázquez, G., Martínez-Membrives, E., López-Aumatell, R., Sabariego, M., Donaire, R., Morón, I., et al. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.09.041 · Cited by 50
Casimiro, S., Vaz-Luís, I., Fernandes, A., Pires, R., Pinto, A., Gouveia, A., Francisco, A. F., Portela, J., Correia, L., & Costa, L. (2011) · Clinical & Experimental Metastasis · doi:10.1007/s10585-011-9438-0 · Cited by 50
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van den Bergen, J. A., Miles, D. C., Sinclair, A. H., & Western, P. S. (2009) · Biology of Reproduction · doi:10.1095/biolreprod.109.076224 · Cited by 50
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Parts, L., Hedman, Å. K., Keildson, S., Knights, A. J., Abreu‐Goodger, C., van de Bunt, M., Guerra‐Assunção, J. A., Bartoniček, N., van Dongen, S., Mägi, R., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002704 · Cited by 54
Ling, K., Hewitt, C., Beißbarth, T., Hyde, L., Banerjee, K., Cheah, P.-S., Cannon, P., Hahn, C. N., Thomas, P. Q., Smyth, G. K., et al. (2009) · Genome biology · doi:10.1186/gb-2009-10-10-r104 · Cited by 50
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Natsidis, P., Schiffer, P. H., Salvador‐Martínez, I., & Telford, M. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-55573-1 · Cited by 49
Elekwachi, C. O., Wang, Z., Wu, X., Rabee, A., & Forster, R. J. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01814 · Cited by 48
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Bannon, M. J., Savonen, C., Jia, H., Dachet, F., Halter, S. D., Schmidt, C. J., Lipovich, L., & Kapatos, G. (2015) · Journal of Neurochemistry · doi:10.1111/jnc.13255 · Cited by 51
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Livingston, W. S., Rusch, H. L., Nersesian, P. V., Baxter, T., Mysliwiec, V., & Gill, J. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00059 · Cited by 46
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Mirisola, V., Mora, R., Esposito, A. I., Guastini, L., Tabacchiera, F., Paleari, L., Amaro, A. A., Angelini, G., Dellepiane, M., Pfeffer, U., et al. (2011) · Cancer Letters · doi:10.1016/j.canlet.2011.03.013 · Cited by 49
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Meng, L., Alter, T., Aho, T., & Huehn, S. (2015) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiv035 · Cited by 48
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Rump, L. V., Asamoah, B. W., & González‐Escalona, N. (2010) · BMC Research Notes · doi:10.1186/1756-0500-3-211 · Cited by 48
Global miRNA expression and correlation with mRNA levels in primary human bone cells
Laxman, N., Rubin, C., Mallmin, H., Nilsson, O., Pastinen, T., Grundberg, E., & Kindmark, A. (2015) · RNA · doi:10.1261/rna.049148.114 · Cited by 50
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Morrison, L. J., Mclellan, S. D., Sweeney, L., Chan, C. N., MacLeod, A., Tait, A., & Turner, C. M. R. (2010) · Infection and Immunity · doi:10.1128/iai.00943-09 · Cited by 50
Limited predictability of postmortem human brain tissue quality by RNA integrity numbers
Sonntag, K., Tejada, G., Subburaju, S., Berretta, S., Benes, F. M., & Woo, T.-U. W. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13637 · Cited by 49
Reiman, M., Laan, M., Rull, K., & Sõber, S. (2017) · The FASEB Journal · doi:10.1096/fj.201601031rr · Cited by 52
Transcript Profiling Using Long-Read Sequencing Technologies
Bayega, A., Wang, Y. C., Oikonomopoulos, S., Djambazian, H. H. V., Fahiminiya, S., & Ragoussis, J. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7834-2_6 · Cited by 47
Isolation of Microarray-Grade Total RNA, MicroRNA, and DNA from a Single PAXgene Blood RNA Tube
Kruhøffer, M., Dyrskjøt, L., Voß, T., Lindberg, R. L. P., Wyrich, R., Thykjær, T., & Orntoft, T. F. (2007) · Journal of Molecular Diagnostics · doi:10.2353/jmoldx.2007.060175 · Cited by 48
Reinmuth, N., Jauch, A. S., Xu, E. C., Muley, T., Granzow, M., Hoffmann, H., Dienemann, H., Herpel, E., Schnabel, P. A., Herth, F. J. F., et al. (2008) · Lung Cancer · doi:10.1016/j.lungcan.2008.03.011 · Cited by 48
Self-citationMüller, R., Betsou, F., Barnes, M., Harding, K., Bonnet, J., Kofanova, O. A., Crowe, J. H., & A Review from the International Society for Biological and Environmental Repositories (ISBER) Biospecimen Science Working Group (2016) · Biopreservation and Biobanking · doi:10.1089/bio.2015.0022 · Cited by 47
Characterization of mRNA therapeutics
Guimaraes, G. J., Kim, J., & Bartlett, M. G. (2023) · Mass Spectrometry Reviews · doi:10.1002/mas.21856 · Cited by 50
Chen, X., Ru, Y., Takahashi, H., Nakazono, M., Shabala, S. N., Smith, S. M., & Yu, M. (2023) · The Plant Journal · doi:10.1111/tpj.16487 · Cited by 48
Hays, A. L., Wissel, M., Colletti, K. S., Soon, R. K., Azadeh, M., Smith, J. S., Doddareddy, R., Chalfant, M., Adamowicz, W. O., Ramaswamy, S. S., et al. (2024) · The AAPS Journal · doi:10.1208/s12248-023-00880-9 · Cited by 47
Uesugi, M., Ojima, A., Taniguchi, T., Miyamoto, N., & Sawada, K. (2013) · Journal of Pharmacological and Toxicological Methods · doi:10.1016/j.vascn.2013.11.002 · Cited by 47
Protective effect of creatine against RNA damage
Fimognari, C., Sestili, P., Lenzi, M., Cantelli‐Forti, G., & Hrelia, P. (2009) · Mutation research. Fundamental and molecular mechanisms of mutagenesis · doi:10.1016/j.mrfmmm.2009.07.005 · Cited by 50
Transcriptomic analysis of degraded forensic body fluids
Lin, M., Jones, D. F., & Fleming, R. I. (2015) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2015.03.005 · Cited by 47
F11R Is a Novel Monocyte Prognostic Biomarker for Malignant Glioma
Pong, W. W., Walker, J., Wylie, T., Magrini, V. J., Luo, J. R., Emnett, R. J., Choi, J., Cooper, M. L., Griffith, M., Griffith, O. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077571 · Cited by 50
Ho-Pun-Cheung, A., Mollévi, C., Assénat, E., Boissière‐Michot, F., Bibeau, F., Cellier, D., Ychou, M., & Lopez‐Crapez, E. (2009) · BMC Molecular Biology · doi:10.1186/1471-2199-10-31 · Cited by 47
Wang, Y.-G., Zheng, H., Chen, J., Zhong, X., Wang, Y., Wang, Z., & Wang, Y. (2015) · Biopreservation and Biobanking · doi:10.1089/bio.2015.0029 · Cited by 47
Paco, S., Hummel, M., Plá, V., Sumoy, L., & Aguado, F. (2016) · BMC Genomics · doi:10.1186/s12864-016-2623-4 · Cited by 47
Kang, T. H., Guibinga, G.-H., & Friedmann, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016572 · Cited by 49
Moskalev, E. A., Luckert, K., Vorobjev, I. A., Mastitsky, S., Gladkikh, A., Stephan, A., Schrenk, M., Kaplanov, K. D., Kalashnikova, O. B., Poetz, O., et al. (2012) · BMC Cancer · doi:10.1186/1471-2407-12-213 · Cited by 47
Klopfleisch, R., Klose, P., & Gruber, A. D. (2010) · Veterinary Pathology · doi:10.1177/0300985810363904 · Cited by 48
Sinha, D. K., & Smith, C. M. (2014) · Scientific Reports · doi:10.1038/srep05059 · Cited by 46
Transcriptome analysis of microRNAs in developing cerebral cortex of rat
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p53 increases caspase-6 expression and activation in muscle tissue expressing mutant huntingtin
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Reid, D. T., Eller, L. K., Nettleton, J. E., & Reimer, R. A. (2015) · Zeitschrift für Ernährungswissenschaft · doi:10.1007/s00394-015-1047-2 · Cited by 46
Baldauf, J. A., Marcon, C., Paschold, A., & Hochholdinger, F. (2016) · PLANT PHYSIOLOGY · doi:10.1104/pp.16.00262 · Cited by 46
Carnes, M. U., Allingham, R. R., Ashley‐Koch, A. E., & Hauser, M. A. (2016) · Experimental Eye Research · doi:10.1016/j.exer.2016.11.021 · Cited by 46
Saad, M. H., Rumschlag, M., Guerra, M. H., Savonen, C., Jaster, A. M., Olson, P. D., Alazizi, A., Luca, F., Piqué-Regi, R., Schmidt, C. J., et al. (2019) · Scientific Reports · doi:10.1038/s41598-018-38209-8 · Cited by 45
Vicente, C. M., Payero, T. D., Santos‐Aberturas, J., Barreales, E. G., de Pedro, A., & Aparicio, J. F. (2015) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-015-6472-x · Cited by 45
Santos‐Aberturas, J., Vicente, C. M., Payero, T. D., Martín-Sánchez, L., Cañibano, C., Martin, J. F., & Aparicio, J. F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038536 · Cited by 45
Hasan, R., Humphrey, J., Bettencourt, C., Newcombe, J., Lashley, T., Fratta, P., & Raj, T. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02399-9 · Cited by 44
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Lewis, P. A., & Cookson, M. (2011) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2011.11.016 · Cited by 45
Pinzani, P., Mazzini, C., Salvianti, F., Massi, D., Grifoni, R., Paoletti, C., Ucci, F., Molinara, E., Orlando, C., Pazzagli, M., et al. (2010) · Melanoma Research · doi:10.1097/cmr.0b013e32833906e3 · Cited by 45
Translating next generation sequencing to practice: Opportunities and necessary steps
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Metadata
- Authors
- Schroeder, A., Mueller, O., Stocker, S., Salowsky, R., Leiber, M., Gassmann, M., Lightfoot, S., Menzel, W., Granzow, M., & Ragg, T.
- Affiliations
- Agilent Technologies (United States) (US)
- Agilent Technologies (Germany) (DE)
- Karlsruhe Institute of Technology (DE)
- Corresponding author
- Mueller, Odilo
- Ragg, Thomas
- Venue
- BMC Molecular Biology
- Published
- 2006-01-31
- Volume
- 7
- Issue
- 1
- Pages
- 3-3
- ISSN
- 1471-2199 (ISSN-L)
- PMC
- PMC1413964
- OpenAlex
- W1696199194
- Cited by
- 2,623
- References
- 18
- Citations by year
- 2026: 97 · 2025: 106 · 2024: 135 · 2023: 111 · 2022: 132 · 2021: 172 · 2020: 129 · 2019: 108 · 2018: 169 · 2017: 138 · 2016: 166 · 2015: 149 · 2014: 162 · 2013: 180 · 2012: 145
- FWCI
- 33.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- BMC Molecular Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Johns Hopkins University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- RNA integrity number, RNA quality control, Agilent 2100 Bioanalyzer, Bayesian feature selection, regression models, gene expression
- MeSH terms
- Algorithms, Animals, Bayes Theorem, Humans, Quality Control, RNA, Software, Linear Models, Polymerase Chain Reaction, Neural Networks, Computer, Gene Expression Profiling, Electrophoresis, Microchip, Mice, Rats
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