ImageJ2: ImageJ for the next generation of scientific image data

Fiji: an open-source platform for biological-image analysis

Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890

NIH Image to ImageJ: 25 years of image analysis

Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638

Extensible visualization and analysis for multidimensional images using Vaa3D

Peng, H., Bria, A., Zhou, Z., Iannello, G., & Long, F. (2014) · Nature Protocols · doi:10.1038/nprot.2014.011 · Cited by 315

Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity

Cantuti-Castelvetri, L., Ojha, R., Pedro, L. D., Djannatian, M., Franz, J., Kuivanen, S., van der Meer, F., Kallio, K., Kaya, T., Anastasina, M., et al. (2020) · Science · doi:10.1126/science.abd2985 · Cited by 1,925

Electrical and synaptic integration of glioma into neural circuits

Venkatesh, H. S., Morishita, W., Geraghty, A. C., Silverbush, D., Gillespie, S. M., Arzt, M., Tam, L. T., Espenel, C., Ponnuswami, A., Ni, L., et al. (2019) · Nature · doi:10.1038/s41586-019-1563-y · Cited by 1,366

The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques

Sala Frigerio, C., Wolfs, L., Fattorelli, N., Thrupp, N., Voytyuk, I., Schmidt, I., Mancuso, R., Chen, W.-T., Woodbury, M. E., Srivastava, G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.099 · Cited by 926

Development of a primary human Small Intestine-on-a-Chip using biopsy-derived organoids

Kasendra, M., Tovaglieri, A., Sontheimer-Phelps, A., Jalili-Firoozinezhad, S., Bein, A., Chalkiadaki, A., Scholl, W., Zhang, C., Rickner, H., Richmond, C. A., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-21201-7 · Cited by 754

Electrophilic properties of itaconate and derivatives regulate the IκBζ–ATF3 inflammatory axis

Bambouskova, M., Gorvel, L., Lampropoulou, V., Sergushichev, A., Loginicheva, E., Johnson, K., Korenfeld, D., Mathyer, M. E., Kim, H., Huang, L.-H., et al. (2018) · Nature · doi:10.1038/s41586-018-0052-z · Cited by 713

Magnetic Particle Imaging-Guided Heating in Vivo Using Gradient Fields for Arbitrary Localization of Magnetic Hyperthermia Therapy

Tay, Z. W., Chandrasekharan, P., Chiu-Lam, A., Hensley, D. W., Dhavalikar, R., Zhou, X. Y., Yu, E. Y., Goodwill, P. W., Zheng, B., Rinaldi, C., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b00893 · Cited by 459

Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis

Maniatis, S., Äijö, T., Vickovic, S., Braine, C., Kang, K., Mollbrink, A., Fagegaltier, D., Andrusivová, Ž., Saarenpää, S., Saiz-Castro, G., et al. (2019) · Science · doi:10.1126/science.aav9776 · Cited by 429

Tissue-resident memory T cells populate the human brain

Smolders, J., Heutinck, K. M., Fransen, N. L., Remmerswaal, E. B. M., Hombrink, P., ten Berge, I. J. M., van Lier, R. A. W., Huitinga, I., & Hamann, J. (2018) · Nature Communications · doi:10.1038/s41467-018-07053-9 · Cited by 406

Cell segmentation in imaging-based spatial transcriptomics

Petukhov, V., Xu, R. J., Soldatov, R. A., Cadinu, P., Khodosevich, K., Moffitt, J. R., & Kharchenko, P. V. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-01044-w · Cited by 412

LABKIT: Labeling and Segmentation Toolkit for Big Image Data

Arzt, M., Deschamps, J., Schmied, C., Pietzsch, T., Schmidt, D., Tomancak, P., Haase, R., & Jug, F. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.777728 · Cited by 405

Cell–cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion

Ilina, O., Gritsenko, P. G., Syga, S., Lippoldt, J., La Porta, C. A. M., Chepizhko, O., Grosser, S., Vullings, M., Bakker, G.-J., Starruß, J., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0552-6 · Cited by 375

Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain

Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E., et al. (2022) · Microbiome · doi:10.1186/s40168-022-01243-w · Cited by 368

Heterogeneous damage in Li-ion batteries: Experimental analysis and theoretical modeling

Xu, R., Yang, Y., Yin, F., Liu, P., Cloetens, P., Liu, Y., Lin, F., & Zhao, K. (2019) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2019.05.003 · Cited by 345

Filtration Efficiencies of Nanoscale Aerosol by Cloth Mask Materials Used to Slow the Spread of SARS-CoV-2

Zangmeister, C. D., Radney, J. G., Vicenzi, E. P., & Weaver, J. L. (2020) · ACS Nano · doi:10.1021/acsnano.0c05025 · Cited by 276

Nucleosome-bound SOX2 and SOX11 structures elucidate pioneer factor function

Dodonova, S. O., Zhu, F., Dienemann, C., Taipale, J., & Cramer, P. (2020) · Nature · doi:10.1038/s41586-020-2195-y · Cited by 265

Structural basis for sequestration and autoinhibition of cGAS by chromatin

Michalski, S., de Oliveira Mann, C. C., Stafford, C. A., Witte, G., Bartho, J., Lammens, K., Hornung, V., & Hopfner, K.-P. (2020) · Nature · doi:10.1038/s41586-020-2748-0 · Cited by 256

h-Channels Contribute to Divergent Intrinsic Membrane Properties of Supragranular Pyramidal Neurons in Human versus Mouse Cerebral Cortex

Kalmbach, B. E., Buchin, A., Long, B., Close, J., Nandi, A., Miller, J. A., Bakken, T. E., Hodge, R. D., Chong, P., de Frates, R., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.012 · Cited by 203

Deep conservation of the enhancer regulatory code in animals

Wong, E. S., Zheng, D., Tan, S. Z., Bower, N. I., Garside, V., Vanwalleghem, G., Gaiti, F., Scott, E., Hogan, B. M., Kikuchi, K., et al. (2020) · Science · doi:10.1126/science.aax8137 · Cited by 176

Regulation of microglial TMEM119 and P2RY12 immunoreactivity in multiple sclerosis white and grey matter lesions is dependent on their inflammatory environment

van Wageningen, T. A., Vlaar, E., Kooij, G., Jongenelen, C. A. M., Geurts, J. J. G., & van Dam, A.-M. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0850-z · Cited by 147

Complement 3(+)-astrocytes are highly abundant in prion diseases, but their abolishment led to an accelerated disease course and early dysregulation of microglia

Hartmann, K., Sepulveda-Falla, D., Rose, I. V. L., Madore, C., Muth, C., Matschke, J., Butovsky, O., Liddelow, S., Glatzel, M., & Krasemann, S. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0735-1 · Cited by 141

Regulation of tau internalization, degradation, and seeding by LRP1 reveals multiple pathways for tau catabolism

Cooper, J. M., Lathuiliere, A., Migliorini, M., Arai, A. L., Wani, M. M., Dujardin, S., Muratoglu, S. C., Hyman, B. T., & Strickland, D. K. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100715 · Cited by 122

Pathogenic LRRK2 control of primary cilia and Hedgehog signaling in neurons and astrocytes of mouse brain

Khan, S. S., Sobu, Y., Dhekne, H. S., Tonelli, F., Berndsen, K., Alessi, D. R., & Pfeffer, S. R. (2021) · eLife · doi:10.7554/elife.67900 · Cited by 93

A prenatal skin atlas reveals immune regulation of human skin morphogenesis

Gopee, N. H., Winheim, E., Olabi, B., Admane, C., Foster, A. R., Huang, N., Botting, R. A., Torabi, F., Sumanaweera, D., Le, A. P., et al. (2024) · Nature · doi:10.1038/s41586-024-08002-x · Cited by 108

Lipoprotein Lipase Regulates Microglial Lipid Droplet Accumulation

Loving, B. A., Tang, M., Neal, M. C., Gorkhali, S., Murphy, R., Eckel, R. H., & Bruce, K. D. (2021) · Cells · doi:10.3390/cells10020198 · Cited by 105

Benefits of higher resistance-training volume are related to ribosome biogenesis

Hammarström, D., Øfsteng, S., Koll, L., Hanestadhaugen, M., Hollan, I., Apró, W., Whist, J. E., Blomstrand, E., Rønnestad, B. R., & Ellefsen, S. (2020) · The Journal of Physiology · doi:10.1113/jp278455 · Cited by 99

A size principle for recruitment of Drosophila leg motor neurons

Azevedo, A. W., Dickinson, E. S., Gurung, P., Venkatasubramanian, L., Mann, R. S., & Tuthill, J. C. (2020) · eLife · doi:10.7554/elife.56754 · Cited by 87

Microfluidic high-throughput 3D cell culture

Ko, J., Park, D., Lee, J., Jung, S., Baek, K., Sung, K. E., Lee, J., & Jeon, N. L. (2024) · Nature Reviews Bioengineering · doi:10.1038/s44222-024-00163-8 · Cited by 88

A Cloud-Based IoT Platform for Precision Control of Soilless Greenhouse Cultivation

Sagheer, A., Mohammed, M., Riad, K., & Alhajhoj, M. (2020) · Sensors · doi:10.3390/s21010223 · Cited by 85

Gradual differentiation uncoupled from cell cycle exit generates heterogeneity in the epidermal stem cell layer

Cockburn, K., Annusver, K., Gonzalez, D. G., Ganesan, S., May, D. P., Mesa, K. R., Kawaguchi, K., Kasper, M., & Greco, V. (2022) · Nature Cell Biology · doi:10.1038/s41556-022-01021-8 · Cited by 84

Proteostasis failure and mitochondrial dysfunction leads to aneuploidy-induced senescence

Joy, J., Barrio, L., Santos-Tapia, C., Romão, D., Giakoumakis, N. N., Clemente-Ruiz, M., & Milán, M. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.06.009 · Cited by 63

Automated analysis of images for molecular quantification in immunohistochemistry

Guirado, R., Carceller, H., Castillo-Gómez, E., Castrén, E., & Nacher, J. (2018) · Heliyon · doi:10.1016/j.heliyon.2018.e00669 · Cited by 63

Development of compact transcriptional effectors using high-throughput measurements in diverse contexts

Tycko, J., Van, M. V., Aradhana, DelRosso, N., Ye, H., Yao, D., Valbuena, R., Vaughan-Jackson, A., Xu, X., Ludwig, C., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02442-6 · Cited by 57

Physiological and pathological roles of FATP-mediated lipid droplets in Drosophila and mice retina

Van Den Brink, D. M., Cubizolle, A., Chatelain, G., Davoust, N., Girard, V., Johansen, S., Napoletano, F., Dourlen, P., Guillou, L., Angebault-Prouteau, C., et al. (2018) · PLOS Genetics · doi:10.1371/journal.pgen.1007627 · Cited by 57

Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists

Gu, H., Huang, J., Hung, L., & Chen, X. '. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3449084 · Cited by 56

Proteomic characterization of isolated Arabidopsis clathrin-coated vesicles reveals evolutionarily conserved and plant-specific components

Dahhan, D. A., Reynolds, G. D., Cárdenas, J. J., Eeckhout, D., Johnson, A., Yperman, K., Kaufmann, W. A., Vang, N., Yan, X., Hwang, I., et al. (2022) · The Plant Cell · doi:10.1093/plcell/koac071 · Cited by 54

Heat Shock Factor 2 Protects against Proteotoxicity by Maintaining Cell-Cell Adhesion

Joutsen, J., Da Silva, A. J., Luoto, J. C., Budzynski, M. A., Nylund, A. S., de Thonel, A., Concordet, J.-P., Mezger, V., Sabéran-Djoneidi, D., Henriksson, E., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2019.12.037 · Cited by 51

The Pattern of AQP4 Expression in the Ageing Human Brain and in Cerebral Amyloid Angiopathy

Owasil, R., O’Neill, R., Keable, A., Nimmo, J., MacGregor Sharp, M., Kelly, L., Saito, S., Simpson, J. E., Weller, R. O., Smith, C., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21041225 · Cited by 48

Characterization of the epidermal-dermal junction in hiPSC-derived skin organoids

Ramovs, V., Janssen, H., Fuentes, I., Pitaval, A., Rachidi, W., Chuva de Sousa Lopes, S. M., Freund, C., Gidrol, X., Mummery, C. L., & Raymond, K. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2022.04.008 · Cited by 44

RANK links senescence to stemness in the mammary epithelia, delaying tumor onset but increasing tumor aggressiveness

Benítez, S., Cordero, A., Santamaría, P. G., Redondo-Pedraza, J., Rocha, A. S., Collado-Solé, A., Jimenez, M., Sanz-Moreno, A., Yoldi, G., Santos, J. C., et al. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.022 · Cited by 41

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease

Muñoz-Castro, C., Noori, A., Magdamo, C. G., Li, Z., Marks, J. D., Frosch, M. P., Das, S., Hyman, B. T., & Serrano-Pozo, A. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02383-4 · Cited by 41

Comparison of RNA Editing Activity of APOBEC1-A1CF and APOBEC1-RBM47 Complexes Reconstituted in HEK293T Cells

Wolfe, A. D., Arnold, D. B., & Chen, X. S. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.02.025 · Cited by 30

Cretaceous origins of the vibrotactile bill-tip organ in birds

du Toit, C. J., Chinsamy, A., & Cunningham, S. J. (2020) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.2322 · Cited by 30

Actionable cancer vulnerability due to translational arrest, p53 aggregation and ribosome biogenesis stress evoked by the disulfiram metabolite CuET

Kanellis, D. C., Zisi, A., Skrott, Z., Lemmens, B., Espinoza, J. A., Kosar, M., Björkman, A., Li, X., Arampatzis, S., Bartkova, J., et al. (2023) · Cell Death & Differentiation · doi:10.1038/s41418-023-01167-4 · Cited by 27

Systemic Inflammation Accelerates Changes in Microglial and Synaptic Markers in an Experimental Model of Chronic Neurodegeneration

Chouhan, J. K., Püntener, U., Booth, S. G., & Teeling, J. L. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.760721 · Cited by 24

The dual GLP‐1 and GLP‐2 receptor agonist dapiglutide promotes barrier function in murine short bowel

Reiner, J., Thiery, J., Held, J., Berlin, P., Skarbaliene, J., Vollmar, B., Jaster, R., Eriksson, P., Lamprecht, G., & Witte, M. (2022) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14791 · Cited by 24

Orthogonal Degron System for Controlled Protein Degradation in Cyanobacteria

Sakkos, J. K., Hernandez-Ortiz, S., Osteryoung, K. W., & Ducat, D. C. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00035 · Cited by 21

Disordered clock protein interactions and charge blocks turn an hourglass into a persistent circadian oscillator

Jankowski, M. S., Griffith, D., Shastry, D. G., Pelham, J. F., Ginell, G. M., Thomas, J., Karande, P., Holehouse, A. S., & Hurley, J. M. (2024) · Nature Communications · doi:10.1038/s41467-024-47761-z · Cited by 23

Implantation and long-term assessment of the stability and biocompatibility of a novel 98 channel suprachoroidal visual prosthesis in sheep

Eggenberger, S. C., James, N. L., Ho, C., Eamegdool, S. S., Tatarinoff, V., Craig, N. A., Gow, B. S., Wan, S., Dodds, C. W. D., La Hood, D., et al. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.121191 · Cited by 21

Reduction of leptin levels during acute exercise is dependent on fasting but not on caloric restriction during chronic exercise: A systematic review and meta-analysis

Fontana, A., Vieira, J. G., Vianna, J. M., Bichowska, M., Krzysztofik, M., Wilk, M., & Reis, V. M. (2023) · PLOS ONE · doi:10.1371/journal.pone.0288730 · Cited by 22

RSL24D1 sustains steady-state ribosome biogenesis and pluripotency translational programs in embryonic stem cells

Durand, S., Bruelle, M., Bourdelais, F., Bennychen, B., Blin-Gonthier, J., Isaac, C., Huyghe, A., Martel, S., Seyve, A., Vanbelle, C., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36037-7 · Cited by 21

DIP2 is a unique regulator of diacylglycerol lipid homeostasis in eukaryotes

Mondal, S., Kinatukara, P., Singh, S., Shambhavi, S., Patil, G. S., Dubey, N., Singh, S. H., Pal, B., Shekar, P. C., Kamat, S. S., et al. (2022) · eLife · doi:10.7554/elife.77665 · Cited by 19

A complex genetic architecture in zebrafish relatives Danio quagga and D. kyathit underlies development of stripes and spots

McCluskey, B. M., Uji, S., Mancusi, J. L., Postlethwait, J. H., & Parichy, D. M. (2021) · PLOS Genetics · doi:10.1371/journal.pgen.1009364 · Cited by 19

Serum Amyloid P and a Dendritic Cell–Specific Intercellular Adhesion Molecule-3–Grabbing Nonintegrin Ligand Inhibit High-Fat Diet–Induced Adipose Tissue and Liver Inflammation and Steatosis in Mice

Pilling, D., Cox, N., Thomson, M. A., Karhadkar, T. R., & Gomer, R. H. (2019) · The American Journal of Pathology · doi:10.1016/j.ajpath.2019.08.005 · Cited by 17

An AI-based approach for detecting cells and microbial byproducts in low volume scanning electron microscope images of biofilms

Abeyrathna, D., Ashaduzzaman, M., Malshe, M., Kalimuthu, J., Gadhamshetty, V., Chundi, P., & Subramaniam, M. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.996400 · Cited by 17

Anthropometric Factors Associated With Bone Stress Injuries in Collegiate Distance Runners: New Risk Metrics and Screening Tools?

Carbuhn, A. F., Yu, D., Magee, L. M., McCulloch, P. C., & Lambert, B. S. (2022) · Orthopaedic Journal of Sports Medicine · doi:10.1177/23259671211070308 · Cited by 17

A Cell Segmentation/Tracking Tool Based on Machine Learning

Deter, H. S., Dies, M., Cameron, C. C., Butzin, N. C., & Buceta, J. (2019) · Methods in Molecular Biology · doi:10.1007/978-1-4939-9686-5_19 · Cited by 17

CRISPR-Cas12a REC2–Nuc interactions drive target-strand cleavage and constrain trans cleavage

Newman, A., Saha, A., Starrs, L., Arantes, P. R., Palermo, G., & Burgio, G. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf988 · Cited by 14

Methods Matter -- Standard Production Platforms for Recombinant AAV Produce Chemically and Functionally Distinct Vectors

Rumachik, N. G., Malaker, S. A., Poweleit, N., Maynard, L. H., Adams, C. M., Leib, R. D., Cirolia, G., Thomas, D., Stamnes, S., Holt, K., et al. (2019) · doi:10.1101/640169 · Cited by 156

Genetic and morphological estimates of androgen exposure predict social deficits in multiple neurodevelopmental disorder cohorts

McKenna, B. G., Huang, Y., Vervier, K., Hofammann, D., Cafferata, M., Al-Momani, S., Lowenthal, F., Zhang, A., Koh, J.-Y., Thenuwara, S., et al. (2021) · Molecular Autism · doi:10.1186/s13229-021-00450-w · Cited by 11

Better research software tools to elevate the rate of scientific discovery or why we need to invest in research software engineering

Deschamps, J., Dalle Nogare, D., & Jug, F. (2023) · Frontiers in Bioinformatics · doi:10.3389/fbinf.2023.1255159 · Cited by 11

Perfusion‐Based Production of rAAV via an Intensified Transient Transfection Process

Nguyen, T. N. T., Park, D., Canova, C. T., Sangerman, J., Srinivasan, P., Ou, R. W., Barone, P. W., Neufeld, C., Wolfrum, J. M., Springs, S. L., et al. (2025) · Biotechnology and Bioengineering · doi:10.1002/bit.28967 · Cited by 10

BACE2 suppression in mice aggravates the adverse metabolic consequences of an obesogenic diet

Díaz-Catalán, D., Alcarraz-Vizán, G., Castaño, C., de Pablo, S., Rodríguez-Comas, J., Fernández-Pérez, A., Vallejo, M., Ramírez, S., Claret, M., Parrizas, M., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101251 · Cited by 10

Int&in: A machine learning‐based web server for active split site identification in inteins

(2024) · doi:10.1002/pro.4985 · Cited by 9

Membrane curvature association of amphipathic helix 8 drives constitutive endocytosis of GPCRs

(2025) · doi:10.1126/sciadv.adv1499 · Cited by 8

Bridging imaging-based in vitro methods from biomedical research to regulatory toxicology

Piergiovanni, M., Mennecozzi, M., Barale-Thomas, E., Danovi, D., Dunst, S., Egan, D., Fassi, A., Hartley, M., Kainz, P., Koch, K., et al. (2025) · Archives of Toxicology · doi:10.1007/s00204-024-03922-z · Cited by 9

Context-dependent activation of a social behavior brain network during learned vocal production

Anderson, K. L., Colón, L., Doolittle, V., Rosario Martinez, R., Uraga, J., & Whitney, O. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02693-0 · Cited by 6

Transcriptomic, proteomic, and functional consequences of codon usage bias in human cells during heterologous gene expression

(2023) · doi:10.1002/pro.4576 · Cited by 5

Encephalomyocarditis virus protein 2B* interacts with 14-3-3 proteins through a phosphorylated C-terminal binding motif

Nguyen, S. K., Anders, N., Holmes, S., Barrow, H. G., Lukhovitskaya, N., Jahun, A. S., Georgana, I., Caller, L. G., Edgar, J. R., Graham, S. C., et al. (2025) · mBio · doi:10.1128/mbio.01008-25 · Cited by 5

Interleukin-1α associates with the tumor suppressor p53 following DNA damage

Novak, J., Zamostna, B., Vopalensky, V., Buryskova, M., Burysek, L., Doleckova, D., & Pospisek, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-63779-x · Cited by 3

USP50 suppresses alternative RecQ helicase use and deleterious DNA2 activity during replication

Mackay, H. L., Stone, H. R., Ronson, G. E., Ellis, K., Lanz, A., Aghabi, Y., Walker, A. K., Starowicz, K., Garvin, A. J., Van Eijk, P., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52250-4 · Cited by 4

Glucose ingestion before and after resistance training sessions does not augment ribosome biogenesis in healthy moderately trained young adults

Lian, K., Hammarström, D., Hamarsland, H., Mølmen, K. S., Moen, S. C., & Ellefsen, S. (2024) · European Journal of Applied Physiology · doi:10.1007/s00421-024-05446-x · Cited by 3

Structural basis for selective inhibition of human GABA transporter GAT3

Mortensen, J. S., Bavo, F., Jensen, M. H., Pedersen, A. P. S., Storm, J. P., Pape, T., Frølund, B., Wellendorph, P., & Shahsavar, A. (2026) · Nature Communications · doi:10.1038/s41467-026-68479-0 · Cited by 3

Arm and head domain in highly conserved lipoprotein modification enzyme Lgt determine functional diversity among bacterial pathogens

Legood, S., Oliveira Paiva, A., Taib, N., Ruffiot, T., Gribaldo, S., Gomperts Boneca, I., & Buddelmeijer, N. (2026) · mBio · doi:10.1128/mbio.00600-26 · Cited by 1

Membrane Binding Controls the ATPase Cycle and Localization of MinD in Bacillus subtilis

(2024) · doi:10.1101/2024.07.08.602513 · Cited by 1

Membrane binding controls the ATPase cycle and localization of MinD in Bacillus subtilis

Feddersen, H., Dyckmans, C., & Bramkamp, M. (2026) · eLife · doi:10.7554/elife.101517