Bioconductor: open software development for computational biology and bioinformatics

An Induced Pluripotent Stem Cell Patient Specific Model of Complement Factor H (Y402H) Polymorphism Displays Characteristic Features of Age-Related Macular Degeneration and Indicates a Beneficial Role for UV Light Exposure

Hallam, D., Collin, J., Bojic, S., Chichagova, V., Buskin, A., Xu, Y., Lafage, L., Otten, E. G., Anyfantis, G., Mellough, C., et al. (2017) · Stem Cells · doi:10.1002/stem.2708 · Cited by 75

Changes in Eutopic Endometrial Gene Expression During the Progression of Experimental Endometriosis in the Baboon, Papio Anubis1

Afshar, Y., Hastings, J., Roqueiro, D., Jeong, J.-W., Giudice, L. C., & Fazleabas, A. T. (2013) · Biology of Reproduction · doi:10.1095/biolreprod.112.104497 · Cited by 77

Effect of transgenes on global gene expression in soybean is within the natural range of variation of conventional cultivars

Cheng, K. C., Beaulieu, J., Iquira, E., Belzile, F. J., Fortin, M. G., & Strömvik, M. V. (2008) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf073505i · Cited by 76

A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes

Pesenacker, A. M., Wang, A. Y., Singh, A., Gillies, J., Kim, Y., Piccirillo, C. A., Nguyen, D., Haining, W. N., Tebbutt, S. J., Panagiotopoulos, C., et al. (2016) · Diabetes · doi:10.2337/db15-0572 · Cited by 69

Genes Expressed in Specific Areas of the Human Fetal Cerebral Cortex Display Distinct Patterns of Evolution

Lambert, N., Lambot, M.-A., Bilheu, A., Albert, V., Englert, Y., Libert, F., Noel, J.-C., Sotiriou, C., Holloway, A. K., Pollard, K. S., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017753 · Cited by 73

Gene length and detection bias in single cell RNA sequencing protocols

Phipson, B., Zappia, L., & Oshlack, A. (2017) · F1000Research · doi:10.12688/f1000research.11290.1 · Cited by 74

Calcium Signaling Pathway Genes RUNX2 and CACNA1C Are Associated With Calcific Aortic Valve Disease

Guauque-Olarte, S., Messika-Zeitoun, D., Droit, A., Lamontagne, M., Tremblay-Marchand, J., Lavoie-Charland, E., Gaudreault, N., Arsenault, B. J., Dubé, M.-P., Tardif, J.-C., et al. (2015) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.115.001145 · Cited by 72

Functional genomic analysis unravels a metabolic-inflammatory interplay in adrenoleukodystrophy

Schlüter, A., Espinosa, L., Fourcade, S., Galino, J., López, E., Ilieva, E., Morató, L., Asheuer, M., Cook, T., McLaren, A., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/ddr536 · Cited by 72

Genome-wide transcriptional changes induced by phagocytosis or growth on bacteria in Dictyostelium

Sillo, A., Bloomfield, G., Balest, A., Balbo, A., Pergolizzi, B., Peracino, B., Skelton, J., Ivens, A., & Bozzaro, S. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-291 · Cited by 69

The use of miRNA microarrays for the analysis of cancer samples with global miRNA decrease

Wu, D., Hu, Y., Tong, S., Williams, B. R. G., Smyth, G. K., & Gantier, M. P. (2013) · RNA · doi:10.1261/rna.035055.112 · Cited by 71

Unbiased Gene Expression Analysis Implicates the huntingtin Polyglutamine Tract in Extra-mitochondrial Energy Metabolism

Lee, J.-M., Ivanova, E. V., Seong, I. S., Cashorali, T., Kohane, I., Gusella, J. F., & MacDonald, M. E. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030135 · Cited by 71

Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes

Oshlack, A., Emslie, D., Corcoran, L. M., & Smyth, G. K. (2007) · Genome biology · doi:10.1186/gb-2007-8-1-r2 · Cited by 69

Transcriptomics and mechanistic elucidation of Alzheimer's disease risk genes in the brain and in vitro models

Martiskainen, H., Viswanathan, J., Nykänen, N.-P., Kurki, M., Helisalmi, S., Natunen, T., Sarajärvi, T., Kurkinen, K. M. A., Pursiheimo, J.-P., Rauramaa, T., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.09.003 · Cited by 70

Type I Interferon Response Dysregulates Host Iron Homeostasis and Enhances Candida glabrata Infection

Riedelberger, M., Penninger, P., Tscherner, M., Seifert, M., Jenull, S., Brunnhofer, C., Scheidl, B., Tsymala, I., Bourgeois, C., Petryshyn, A., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.01.023 · Cited by 64

A microRNA Signature Associated with Early Recurrence in Breast Cancer

Pérez-Rivas, L. G., Jerez, J. M., Carmona, R., de Luque, V., Vicioso, L., Claros, M. G., Viguera, E., Pajares, B., Sánchez, A., Ribelles, N., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091884 · Cited by 67

Notch/HES1-mediated PARP1 activation: a cell type–specific mechanism for tumor suppression

Kannan, S., Fang, W., Song, G., Mullighan, C. G., Hammitt, R., McMurray, J., & Zweidler-McKay, P. A. (2011) · Blood · doi:10.1182/blood-2009-12-253419 · Cited by 66

A case study in open source innovation: Developing the Tidepool Platform for interoperability in type 1 diabetes management

Neinstein, A., Wong, J., Look, H., Arbiter, B., Quirk, K., McCanne, S., Sun, Y., Blum, M., & Adi, S. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv104 · Cited by 66

Viral status, immune microenvironment and immunological response to checkpoint inhibitors in hepatocellular carcinoma

Ho, W. J., Danilova, L., Lim, S. J., Verma, R., Xavier, S., Leatherman, J. M., Sztein, M. B., Fertig, E. J., Wang, H., Jaffee, E., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2019-000394 · Cited by 66

Maternal immune response to helminth infection during pregnancy determines offspring susceptibility to allergic airway inflammation

Straubinger, K., Paul, S., Prazeres da Costa, O., Ritter, M., Buch, T., Busch, D. H., Layland, L. E., & Prazeres da Costa, C. U. (2014) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2014.05.034 · Cited by 65

Drosophila melanogaster linker histone dH1 is required for transposon silencing and to preserve genome integrity

Vujatovic, O., Zaragoza, K., Vaquero, A., Reina, O., Bernués, J., & Azorín, F. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks224 · Cited by 64

The Epigenetic Evolution of Glioma Is Determined by the IDH1 Mutation Status and Treatment Regimen

Malta, T. M., Sabedot, T. S., Morosini, N. S., Datta, I., Garofano, L., Vallentgoed, W., Varn, F. S., Aldape, K., D'Angelo, F., Bakas, S., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-2093 · Cited by 68

Expression of Prostaglandin E Synthases in Periodontitis

Båge, T., Kats, A., Lopez, B. S., Morgan, G., Nilsson, G., Burt, I., Korotkova, M., Corbett, L., Knox, A. J., Pino, L., et al. (2011) · The American Journal of Pathology · doi:10.1016/j.ajpath.2010.12.048 · Cited by 63

Cholesterol metabolism: the main pathway acting downstream of cytochrome P450 oxidoreductase in skeletal development of the limb

Schmidt, K., Hughes, C., Chudek, J. A., Goodyear, S. R., Aspden, R. M., Talbot, R., Gundersen, T. E., Blomhoff, R., Henderson, C., Wolf, C. R., et al. (2009) · Molecular and Cellular Biology · doi:10.1128/mcb.01638-08 · Cited by 61

Ribosomal profiling during prion disease uncovers progressive translational derangement in glia but not in neurons

Scheckel, C., Imeri, M., Schwarz, P., & Aguzzi, A. (2020) · eLife · doi:10.7554/elife.62911 · Cited by 57

Lower gene expression for KCNS3 potassium channel subunit in parvalbumin-containing neurons in the prefrontal cortex in schizophrenia

Georgiev, D., Arion, D., Enwright, J. F., Kikuchi, M., Minabe, Y., Corradi, J. P., Lewis, D. A., & Hashimoto, T. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.13040468 · Cited by 61

A single Gal4-like transcription factor activates the Crabtree effect in Komagataella phaffii

Ata, Ö., Rebnegger, C., Tatto, N. E., Valli, M., Mairinger, T., Hann, S., Steiger, M. G., Çalık, P., & Mattanovich, D. (2018) · Nature Communications · doi:10.1038/s41467-018-07430-4 · Cited by 61

Adaptive Evolution of the Lactose Utilization Network in Experimentally Evolved Populations of Escherichia coli

Quan, S., Ray, J. C. J., Kwota, Z., Duong, T., Balázsi, G., Cooper, T. F., & Monds, R. D. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002444 · Cited by 59

Epigenomic profiling of men exposed to early-life stress reveals DNA methylation differences in association with current mental state

Khulan, B., Manning, J. R., Dunbar, D. R., Seckl, J. R., Raikkonen, K., Eriksson, J. G., & Drake, A. J. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.94 · Cited by 59

Whole blood gene expression in adolescent chronic fatigue syndrome: an exploratory cross-sectional study suggesting altered B cell differentiation and survival

Nguyen, C. B., Alsøe, L., Lindvall, J. M., Sulheim, D., Fagermoen, E., Winger, A., Kaarbø, M., Nilsen, H., & Wyller, V. B. (2017) · Journal of Translational Medicine · doi:10.1186/s12967-017-1201-0 · Cited by 59

Synergy of the antibiotic colistin with echinocandin antifungals in Candida species

Zeidler, U., Bougnoux, M.-E., Lupan, A., Helynck, O., Doyen, A., Garcia, Z., Sertour, N., Clavaud, C., Munier-Lehmann, H., Saveanu, C., et al. (2013) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dks538 · Cited by 58

Central amygdala nucleus (Ce) gene expression linked to increased trait-like Ce metabolism and anxious temperament in young primates

Fox, A. S., Oler, J. A., Shelton, S. E., Nanda, S. A., Davidson, R. J., Roseboom, P. H., & Kalin, N. H. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1206723109 · Cited by 57

Transcriptional profiling of myotubes from patients with type 2 diabetes: no evidence for a primary defect in oxidative phosphorylation genes.

Frederiksen, C. M., Højlund, K., Hansen, L., Oakeley, E. J., Hemmings, B., Abdallah, B. M., Brusgaard, K., Beck-Nielsen, H., & Gaster, M. (2008) · Diabetologia · doi:10.1007/s00125-008-1122-9 · Cited by 57

Transcriptomic Analysis Identifies Growth Rate Modulation as a Component of the Adaptation of Mycobacteria to Survival inside the Macrophage

Beste, D. J. V., Laing, E., Bonde, B., Avignone-Rossa, C., Bushell, M. E., & McFadden, J. J. (2007) · Journal of Bacteriology · doi:10.1128/jb.01787-06 · Cited by 55

A Common Variant of IL-6R is Associated with Elevated IL-6 Pathway Activity in Alzheimer’s Disease Brains

Haddick, P. C. G., Alzheimer’s Disease Genetic Consortium (ADGC), A. D. N. I. (., Larson, J. L., Rathore, N., Bhangale, T. R., Phung, Q. T., Srinivasan, K., Hansen, D. V., Lill, J. R., Pericak-Vance, M. A., et al. (2017) · Journal of Alzheimer's Disease · doi:10.3233/jad-160524 · Cited by 55

Reproducibility of studies on text mining for citation screening in systematic reviews: Evaluation and checklist

Olorisade, B. K., Brereton, P., & Andras, P. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.07.010 · Cited by 54

Dual-initiation promoters with intertwined canonical and TCT/TOP transcription start sites diversify transcript processing

Nepal, C., Hadzhiev, Y., Balwierz, P., Tarifeño-Saldivia, E., Cardenas, R., Wragg, J. W., Suzuki, A.-M., Carninci, P., Peers, B., Lenhard, B., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13687-0 · Cited by 52

The Flint Animal Cancer Center (FACC) Canine Tumour Cell Line Panel: a resource for veterinary drug discovery, comparative oncology and translational medicine

Fowles, J. S., Dailey, D. D., Gustafson, D. L., Thamm, D. H., & Duval, D. L. (2017) · Veterinary and Comparative Oncology · doi:10.1111/vco.12192 · Cited by 49

Tree-based machine learning algorithms identified minimal set of miRNA biomarkers for breast cancer diagnosis and molecular subtyping

Sherafatian, M. (2018) · Gene · doi:10.1016/j.gene.2018.07.057 · Cited by 51

Plasmodium falciparum transcriptome analysis reveals pregnancy malaria associated gene expression

Tuikue Ndam, N., Bischoff, E., Proux, C., Lavstsen, T., Salanti, A., Guitard, J., Nielsen, M. A., Coppée, J.-Y., Gaye, A., Theander, T., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001855 · Cited by 48

Matrigel Basement Membrane Matrix influences expression of microRNAs in cancer cell lines

Price, K. J., Tsykin, A., Giles, K. M., Sladic, R. T., Epis, M. R., Ganss, R., Goodall, G. J., & Leedman, P. J. (2012) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2012.09.059 · Cited by 49

HDAC3 functions as a positive regulator in Notch signal transduction

Ferrante, F., Giaimo, B. D., Bartkuhn, M., Zimmermann, T., Close, V., Mertens, D., Nist, A., Stiewe, T., Meier-Soelch, J., Kracht, M., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa088 · Cited by 50

Profiling of Selected MicroRNAs in Proliferative Eutopic Endometrium of Women with Ovarian Endometriosis

Laudanski, P., Charkiewicz, R., Tolwinska, A., Szamatowicz, J., Charkiewicz, A., & Niklinski, J. (2015) · BioMed Research International · doi:10.1155/2015/760698 · Cited by 48

Long Noncoding RNA NIHCOLE Promotes Ligation Efficiency of DNA Double-Strand Breaks in Hepatocellular Carcinoma

Unfried, J. P., Marín-Baquero, M., Rivera-Calzada, Á., Razquin, N., Martín-Cuevas, E. M., de Bragança, S., Aicart-Ramos, C., McCoy, C., Prats-Mari, L., Arribas-Bosacoma, R., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-0463 · Cited by 48

PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expression

Almeida, P. P., Cardoso, C. P., & de Freitas, L. M. (2020) · BMC Cancer · doi:10.1186/s12885-020-6533-0 · Cited by 48

HP1a, Su(var)3-9, SETDB1 and POF stimulate or repress gene expression depending on genomic position, gene length and expression pattern in drosophila melanogaster

Lundberg, L. E., Stenberg, P., & Larsson, J. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt158 · Cited by 47

EPRS is a critical regulator of cell proliferation and estrogen signaling in ER+ breast cancer

Katsyv, I., Wang, M., Song, W. M., Zhou, X., Zhao, Y., Park, S., Zhu, J., Zhang, B., & Irie, H. Y. (2016) · Oncotarget · doi:10.18632/oncotarget.11870 · Cited by 47

Identification of a novel PPARβ/δ/miR‐21‐3p axis in UV‐induced skin inflammation

Degueurce, G., D'Errico, I., Pich, C., Ibberson, M., Schütz, F., Montagner, A., Sgandurra, M., Mury, L., Jafari, P., Boda, A., et al. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201505384 · Cited by 47

Subtypes in pancreatic ductal adenocarcinoma based on niche factor dependency show distinct drug treatment responses

Shinkawa, T., Ohuchida, K., Mochida, Y., Sakihama, K., Iwamoto, C., Abe, T., Ideno, N., Mizuuchi, Y., Shindo, K., Ikenaga, N., et al. (2022) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-022-02301-9 · Cited by 41

Gene expression divergence between malaria vector sibling species Anopheles gambiae and An. coluzzii from rural and urban Yaoundé Cameroon

Cassone, B. J., Kamdem, C., Cheng, C., Tan, J. C., Hahn, M. W., Costantini, C., & Besansky, N. J. (2014) · Molecular Ecology · doi:10.1111/mec.12733 · Cited by 46

EMUDRA: Ensemble of Multiple Drug Repositioning Approaches to improve prediction accuracy

Zhou, X., Wang, M., Katsyv, I., Irie, H., & Zhang, B. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty325 · Cited by 43

In Vivo Topoisomerase I Inhibition Attenuates the Expression of Hypoxia-Inducible Factor 1α Target Genes and Decreases Tumor Angiogenesis

Guérin, E., Raffelsberger, W., Pencreach, E., Maier, A., Neuville, A., Schneider, A., Bachellier, P., Rohr, S., Petitprez, A., Poch, O., et al. (2012) · Molecular Medicine · doi:10.2119/molmed.2011.00120 · Cited by 44

The miR‐126‐5p and miR‐212‐3p in the extracellular vesicles activate monocytes in the early stage of radiation‐induced vascular inflammation implicated in atherosclerosis

Choi, Y. Y., Kim, A., Lee, Y., Lee, Y. H., Park, M., Shin, E., Park, S., Youn, B., & Seong, K. M. (2023) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12325 · Cited by 44

Large-scale gene expression in bone marrow mesenchymal stem cells: a putative role for COL10A1 in osteoarthritis

Lamas, J. R., Rodríguez-Rodríguez, L., Vigo, A. G., Álvarez-Lafuente, R., López-Romero, P., Marco, F., Camafeita, E., Dopazo, A., Callejas, S., Villafuertes, E., et al. (2010) · Annals of the Rheumatic Diseases · doi:10.1136/ard.2009.122564 · Cited by 43

Gene Expression Patterns Associated With Histopathology in Toxic Liver Fibrosis

Ippolito, D. L., AbdulHameed, M. D. M., Tawa, G. J., Baer, C. E., Permenter, M. G., McDyre, B. C., Dennis, W. E., Boyle, M. H., Hobbs, C. A., Streicker, M. A., et al. (2016) · Toxicological Sciences · doi:10.1093/toxsci/kfv214 · Cited by 43

Organotypic three-dimensional cancer cell cultures mirror drug responses in vivo: lessons learned from the inhibition of EGFR signaling

Jacobi, N., Seeboeck, R., Hofmann, E., Schweiger, H., Smolinska, V., Mohr, T., Boyer, A., Sommergruber, W., Lechner, P., Pichler-Huebschmann, C., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.22475 · Cited by 43

Induction of a Unique Isoform of the NCOA7 Oxidation Resistance Gene by Interferon β-1b

Yu, L., Croze, E., Yamaguchi, K. D., Tran, T., Reder, A. T., Litvak, V., & Volkert, M. R. (2015) · Journal of Interferon & Cytokine Research · doi:10.1089/jir.2014.0115 · Cited by 41

Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program

Baresic, M., Salatino, S., Kupr, B., van Nimwegen, E., & Handschin, C. (2014) · Molecular and Cellular Biology · doi:10.1128/mcb.01710-13 · Cited by 40

Computational deconvolution of genome wide expression data from Parkinson's and Huntington's disease brain tissues using population-specific expression analysis

Capurro, A., Bodea, L.-G., Schaefer, P., Luthi-Carter, R., & Perreau, V. M. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00441 · Cited by 37

Comparative Neuroregenerative Effects of C-Phycocyanin and IFN-Beta in a Model of Multiple Sclerosis in Mice

Pentón-Rol, G., Lagumersindez-Denis, N., Muzio, L., Bergami, A., Furlan, R., Fernández-Massó, J. R., Nazabal-Galvez, M., Llópiz-Arzuaga, A., Herrera-Rolo, T., Veliz-Rodriguez, T., et al. (2016) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-015-9642-9 · Cited by 36

Time‐series nasal epithelial transcriptomics during natural pollen exposure in healthy subjects and allergic patients

Mattila, P., Renkonen, J., Toppila‐Salmi, S., Parviainen, V., Joenväärä, S., Alff‐Tuomala, S., Nicorici, D., & Renkonen, R. (2010) · Allergy · doi:10.1111/j.1398-9995.2009.02181.x · Cited by 36

Common functional alterations identified in blood transcriptome of autoimmune cholestatic liver and inflammatory bowel diseases

Ostrowski, J., Goryca, K., Lazowska, I., Rogowska, A., Paziewska, A., Dabrowska, M., Ambrozkiewicz, F., Karczmarski, J., Balabas, A., Kluska, A., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-43699-1 · Cited by 36

Generation of a neuro-specific microarray reveals novel differentially expressed noncoding RNAs in mouse models for neurodegenerative diseases

Gstir, R., Schafferer, S., Scheideler, M., Misslinger, M., Griehl, M., Daschil, N., Humpel, C., Obermair, G. J., Schmuckermair, C., Striessnig, J., et al. (2014) · RNA · doi:10.1261/rna.047225.114 · Cited by 36

A Presynaptic Phosphosignaling Hub for Lasting Homeostatic Plasticity

Müller, J. A., Betzin, J., Santos-Tejedor, J., Mayer, A., Oprişoreanu, A.-M., Engholm-Keller, K., Paulußen, I., Gulakova, P., McGovern, T. D., Gschossman, L. J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110696 · Cited by 36

Over-expression of cathepsin E and trefoil factor 1 in sessile serrated adenomas of the colorectum identified by gene expression analysis

Caruso, M., Moore, J., Goodall, G. J., Thomas, M., Phillis, S., Tyskin, A., Cheetham, G., Lerda, N., Takahashi, H., & Ruszkiewicz, A. (2009) · Virchows Archiv · doi:10.1007/s00428-009-0731-0 · Cited by 34

National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., et al. (2023) · Radiographics · doi:10.1148/rg.230180 · Cited by 35

Chondrocytes Play a Major Role in the Stimulation of Bone Growth by Thyroid Hormone

Desjardin, C., Charles, C., Benoist-Lasselin, C., Riviere, J., Gilles, M., Chassande, O., Morgenthaler, C., Laloé, D., Lecardonnel, J., Flamant, F., et al. (2014) · Endocrinology · doi:10.1210/en.2014-1109 · Cited by 35

Reciprocal regulation of microRNA and mRNA profiles in neuronal development and synapse formation

Manakov, S. A., Grant, S. G., & Enright, A. J. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-419 · Cited by 34

Stable XIAP knockdown clones of HCT116 colon cancer cells are more sensitive to TRAIL, taxanes and irradiation in vitro

Connolly, K., Mitter, R., Muir, M., Jodrell, D., & Guichard, S. (2009) · Cancer Chemotherapy and Pharmacology · doi:10.1007/s00280-008-0872-x · Cited by 34

A cyclin-dependent kinase-mediated phosphorylation switch of disordered protein condensation

Valverde, J. M., Dubra, G., Phillips, M., Haider, A., Elena-Real, C., Fournet, A., Alghoul, E., Chahar, D., Andrés-Sanchez, N., Paloni, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42049-0 · Cited by 33

Continuous infusion of 20-hydroxyecdysone increased mass of triceps brachii in C57BL/6 mice

Cheng, D. M., Kutzler, L. W., Boler, D. D., Drnevich, J., Killefer, J., & Lila, M. A. (2013) · Phytotherapy Research · doi:10.1002/ptr.4679 · Cited by 31

A Game Changer for Bipolar Disorder Diagnosis Using RNA Editing-Based Biomarkers

Salvetat, N., Checa-Robles, F. J., Patel, V., Cayzac, C., Dubuc, B., Chimienti, F., Abraham, J.-D., Dupré, P., Vetter, D., Méreuze, S., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01938-6 · Cited by 31

NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data

Bi, Y., & Davuluri, R. V. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-262 · Cited by 30

Neuroserpin polymers cause oxidative stress in a neuronal model of the dementia FENIB

Guadagno, N. A., Moriconi, C., Licursi, V., D'Acunto, E., Nisi, P. S., Carucci, N., De Jaco, A., Cacci, E., Negri, R., Lupo, G., et al. (2017) · Neurobiology of Disease · doi:10.1016/j.nbd.2017.03.010 · Cited by 30

Identification of Nrf2-Dependent Airway Epithelial Adaptive Response to Proinflammatory Oxidant-Hypochlorous Acid Challenge by Transcription Profiling

Zhu, L., Pi, J., Wachi, S., Andersen, M. E., Wu, R., & Chen, Y. (2008) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00310.2007 · Cited by 29

Osteoblast differentiation profiles define sex specific gene expression patterns in craniosynostosis

Park, S. S., Beyer, R. P., Smyth, M. D., Clarke, C. M., Timms, A. E., Bammler, T. K., Stamper, B. D., Mecham, B. H., Gustafson, J. A., & Cunningham, M. L. (2015) · Bone · doi:10.1016/j.bone.2015.03.001 · Cited by 27

Mathiomica: an integrative platform for dynamic omics

Mias, G. I., Yusufaly, T., Roushangar, R., Brooks, L. R. K., Singh, V. V., & Christou, C. (2016) · Scientific Reports · doi:10.1038/srep37237 · Cited by 27

Where next for the reproducibility agenda in computational biology?

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