Most cited biochemistry, genetics and molecular biology papers
- VerifiedRetracted
RETRACTED: Downregulation of miR‐122 in the rodent and human hepatocellular carcinomas
Kutay, H., Bai, S., Datta, J., Motiwala, T., Pogribny, I., Frankel, W., Jacob, S. T., & Ghoshal, K. (2006) · Journal of Cellular Biochemistry
MicroRNA in disease regulationCancer-related molecular mechanisms research
Cited by 608
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Macrophage exosomes as natural nanocarriers for protein delivery to inflamed brain
Yuan, D., Zhao, Y., Banks, W. A., Bullock, K. M., Haney, M., Batrakova, E., & Kabanov, A. V. (2017) · Biomaterials
Extracellular vesicles in diseaseNanoparticle-Based Drug Delivery
Cited by 607
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A maximum pseudo-likelihood approach for estimating species trees under the coalescent model
Liu, L., Yu, L., & Edwards, S. V. (2010) · BMC Evolutionary Biology
Genomics and Phylogenetic StudiesGenetic diversity and population structure
Cited by 607
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Risk of malignancies in patients with diabetes treated with human insulin or insulin analogues: A cohort study
Hemkens, L. G., Grouven, U., Bender, R., Günster, C., Gutschmidt, S., Selke, G. W., & Sawicki, P. T. (2009) · Diabetologia
Metabolism, Diabetes, and CancerDiabetes Management and Research
Cited by 607
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Effects of antibiotics on gut microbiota
Lange, K., Buerger, M., Stallmach, A., & Bruns, T. (2016) · Digestive Diseases
Gut microbiota and healthGastrointestinal motility and disorders
Cited by 607
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mTOR, translation initiation and cancer
Mamane, Y., Petroulakis, E., LeBacquer, O., & Sonenberg, N. (2006) · Oncogene
PI3K/AKT/mTOR signaling in cancerRNA and protein synthesis mechanisms
Cited by 607
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Emerging methods in protein co-evolution
de Juan, D., Pazos, F., & Valencia, A. (2013) · Nature Reviews Genetics
Protein Structure and DynamicsGenomics and Phylogenetic Studies
Cited by 607
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Ultrafast endocytosis at mouse hippocampal synapses
Watanabe, S., Rost, B. R., Camacho-Pérez, M., Davis, M. W., Söhl-Kielczynski, B., Rosenmund, C., & Jorgensen, E. M. (2013) · Nature
Cellular transport and secretionNeuroscience and Neuropharmacology Research
Cited by 607
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Diet-Microbiota Interactions Mediate Global Epigenetic Programming in Multiple Host Tissues
Krautkramer, K. A., Kreznar, J. H., Romano, K. A., Vivas, E. I., Barrett-Wilt, G. A., Rabaglia, M. E., Keller, M. P., Attie, A. D., Rey, F. E., & Denu, J. M. (2016) · Molecular Cell
Gut microbiota and healthEpigenetics and DNA Methylation
Cited by 607
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Autosis is a Na + ,K + -ATPase–regulated form of cell death triggered by autophagy-inducing peptides, starvation, and hypoxia–ischemia
Liu, Y., Shoji-Kawata, S., Sumpter, R. M., Wei, Y., Ginet, V., Zhang, L., Posner, B., Tran, K. A., Green, D. R., Xavier, R. J., et al. (2013) · Proceedings of the National Academy of Sciences
Autophagy in Disease and TherapyCell death mechanisms and regulation
Cited by 607
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Diagnosis and management of mitochondrial disease: a consensus statement from the mitochondrial medicine society
Parikh, S., Goldstein, A., Koenig, M. K., Scaglia, F., Enns, G. M., Saneto, R., Anselm, I., Cohen, B. H., Falk, M. J., Greene, C., et al. (2015) · Genetics in Medicine
Mitochondrial Function and PathologyMetabolism and Genetic Disorders
Cited by 607
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Removing technical variability in RNA-seq data using conditional quantile normalization
Hansen, K. D., Irizarry, R. A., & WU, Z. (2012) · Biostatistics
Gene expression and cancer classificationGenomics and Phylogenetic Studies
Cited by 607
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The therapeutic potential of FGF21 in metabolic diseases: from bench to clinic
Geng, L., Lam, K. S. L., & Xu, A. (2020) · Nature Reviews Endocrinology
Fibroblast Growth Factor ResearchLiver Disease Diagnosis and Treatment
Cited by 607
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Wild-type microglia arrest pathology in a mouse model of Rett syndrome
Derecki, N. C., Cronk, J. C., Lu, Z., Xu, E., Abbott, S. B. G., Guyenet, P. G., & Kipnis, J. (2012) · Nature
Genetics and Neurodevelopmental DisordersNeuroinflammation and Neurodegeneration Mechanisms
Cited by 607
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Delivery strategies of the CRISPR-Cas9 gene-editing system for therapeutic applications
Liu, C., Zhang, L., Liu, H., & Cheng, K. (2017) · Journal of Controlled Release
CRISPR and Genetic EngineeringRNA Interference and Gene Delivery
Cited by 607
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History of gene therapy
Wirth, T., Parker, N., & Ylä-Herttuala, S. (2013) · Gene
Virus-based gene therapy researchRNA Interference and Gene Delivery
Cited by 607
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Disordered methionine metabolism in MTAP/CDKN2A-deleted cancers leads to dependence on PRMT5
Mavrakis, K. J., McDonald, E. R., Schlabach, M. R., Billy, E., Hoffman, G. R., deWeck, A., Ruddy, D. A., Venkatesan, K., Yu, J., McAllister, G., et al. (2016) · Science
Cancer-related gene regulationRNA modifications and cancer
Cited by 607
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Metabolic enzyme expression highlights a key role for MTHFD2 and the mitochondrial folate pathway in cancer
Nilsson, R., Jain, M., Madhusudhan, N., Sheppard, N. G., Strittmatter, L., Kampf, C., Huang, J., Asplund, A., & Mootha, V. K. (2014) · Nature Communications
Cancer, Hypoxia, and MetabolismFolate and B Vitamins Research
Cited by 607
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Increased Fibroblast Growth Factor 21 in Obesity and Nonalcoholic Fatty Liver Disease
Dushay, J., Chui, P. C., Gopalakrishnan, G. S., Varela–Rey, M., Crawley, M., Fisher, F. M., Badman, M. K., Martinez–Chantar, M. L., & Maratos–Flier, E. (2010) · Gastroenterology
Fibroblast Growth Factor ResearchLiver Disease Diagnosis and Treatment
Cited by 607
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Hypoxia-induced energy stress regulates mRNA translation and cell growth
Liu, L., Cash, T. P., Jones, R. G., Keith, B., Thompson, C. B., & Simon, M. C. (2006) · Molecular Cell
PI3K/AKT/mTOR signaling in cancerCancer, Hypoxia, and Metabolism
Cited by 607
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Tumour heterogeneity and metastasis at single-cell resolution
Lawson, D. A., Kessenbrock, K., Davis, R. T., Pervolarakis, N., & Werb, Z. (2018) · Nature Cell Biology
Single-cell and spatial transcriptomicsCancer Genomics and Diagnostics
Cited by 606
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Angiopoietins: a link between angiogenesis and inflammation
Fiedler, U., & Augustin, H. G. (2006) · Trends in Immunology
Angiogenesis and VEGF in CancerCell Adhesion Molecules Research
Cited by 606
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Modeling the language of life – Deep Learning Protein Sequences
Heinzinger, M., Elnaggar, A., Wang, Y., Dallago, C., Nechaev, D., Matthes, F., & Rost, B. (2019) · BMC Bioinformatics
Machine Learning in BioinformaticsProtein Structure and Dynamics
Cited by 606
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Variation in Homeodomain DNA Binding Revealed by High-Resolution Analysis of Sequence Preferences
Berger, M. F., Badis, G., Gehrke, A. R., Talukder, S., Philippakis, A. A., Peña-Castillo, L., Alleyne, T. M., Mnaimneh, S., Botvinnik, O. B., Chan, E. T., et al. (2008) · Cell
Genomics and Chromatin DynamicsProtein Structure and Dynamics
Cited by 606
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