Publications

2025

1. Koutlas, K., Patrikiou, L., van der Starre, S.E., Danko, D., Woltering-Donselaar, I.G., et al. Distinct ventral tegmental area neuronal ensembles are indispensable for reward-driven approach and stress-driven avoidance behaviors. Nat Commun., 16(1):3147; doi: https://doi.org/10.1038/s41467-025-58384-3 (2025).

2. Maciel, B. de A.P.C., Schipper, M., Romero, C., de Leeuw, C., et al. The genetic landscape of heterogeneity in human functional brain connectivity. medRxiv [preprint]; doi: https://doi.org/10.1101/2025.04.08.25325384 (2025).

3. Riga, D., Kooij, K.L., Rademakers, K., Wolterink-Donselaar, I.G., Basak, O., Meye, F. Neuropeptide Y neurons surrounding the locus coeruleus inhibit noradrenergic system activity to reduce anxiety, Science Adv., 11(30):eadq0011; doi: https://doi.org/10.1126/sciadv.adq0011 (2025).

4. Romero, C., de Leeuw, C., Schipper, M., de A.P.C. Maciel, B., van de Heuvel, M.P., et al. Immune-Developmental Processes Contribute to Schizophrenia Risk: Insights From a Genetic Overlap Study With Height. Biol Psychiatry, S0006-3223(25)01018-2; doi: https://doi.org/10.1016/j.biopsych.2025.02.902 (2025).

5. Schipper, M., de Leeuw, C.A., de A.P.C. Maciel, B., Wightman, D.P., et al. Prioritizing effector genes at trait-associated loci using multimodal evidence. Nat Genetics, 57(2):323-333. doi: https://doi.org/10.1038/s41588-025-02084-7 (2025).

6. Verlaan, T., Bouland, G.A., Mahfouz, A., Reinders, M.J.T. scAGG: Sample-level embedding and classification of Alzheimer’s disease from single-nucleus data, Comput Struct Biotechnol J., 27:3753-3761; doi: https://10.1016/j.csbj.2025.08.009 (2025).

2024

1. Abdelaal, T., Grossouw, L.M., Pasterkamp, R.J., Lelieveldt, B.P.F., et al. SIRV: spatial inference of RNA velocity at the single-cell resolution. NAR Genom Bioinform. 6(3):lqae100; doi: https://doi.org/10.1093/nargab/lqae100 (2024).

2. André, T., van Berkel, A.A., Singh, G., Abualrous, E.T., et al. Reduced Protein Stability of 11 Pathogenic Missense STXBP1/MUNC18-1 Variants and Improved Disease Prediction. Biol Psychiatry, 92(2):125-136; doi: https://doi.org/10.1016/j.biopsych.2024.03.007 (2024).

3. Basu, S., Eggermont, J., Kroes, T., Jorstad, N., et al. Cytosplore Simian Viewer: Visual Exploration for Multi-Species Single-Cell RNA Sequencing Data. In Eurographics Workshop on Visual Computing in Biology and Medicine, 111–120; doi: https://doi.org/10.2312/vcbm.20231219 (2024).

4. Bouland, G.A., Tesi, N., Mahfouz, A., Reinders, M.J.T. gsQTL: Associating genetic risk variants with gene sets by exploiting their shared variability. bioRxiv [preprint]; doi: https://doi.org/10.1101/2024.09.13.612853 (2024).

5. Ducrocq, F., Brouwer, E., Kooij, K., Wolterink-Donselaar, I., et al. Reduced GABA transmission onto ventral tegmental area dopamine neurons underlies vulnerability for hyperactivity in a mouse model for Anorexia Nervosa. bioRxiv [preprint]; doi: https://doi.org/10.1101/2024.03.14.585038 (2024).

6. Düdükcü, Ö., Raj, D.A.D, van de Haar, L.L., Grossouw, L.M., et al. Molecular diversity and migration of GABAergic neurons in the developing ventral midbrain. iScience, in press.; doi: https://doi.org/10.1016/j.isci.2024.111239 (2024).

7. Gribaudo, S., Robert, R., van Sambeek, B., Mirdass, C., et al. Self-organizing models of human trunk organogenesis recapitulate spinal cord and spine co-morphogenesis. Nat Biotechnol. 42(8):1243-1253; doi: https://doi.org/10.1038/s41587-023-01956-9 (2024).

8. Hartmann, C., Mahajan, A., Borges, V., Razenberg, L., et al. The Switchmaze: an open-design device for measuring motivation and drive switching in mice. Peer Community J. 4:pcjournal.416; doi: https://10.1101/2024.01.31.578188 (2024).

9. Koutlas, I., Patrikiou, L., Van der Starre, S., Danko, D., et al. Distinct ventral tegmental area neuronal ensembles are indispensable for reward-driven approach and stress-driven avoidance behaviors. bioRxiv [preprint]; doi: https://doi.org/10.1101/2024.05.30.596611 (2024).

10. Maciel, B. de A. P. C., van den Heuvel, M., Brouwer, R. M. Genetics of neuroanatomy. In Encyclopedia of the Human Brain (Second Edition) (ed. Grafman, J. H.):148–155 (Elsevier, Oxford); doi: https://10.1016/B978-0-12-820480-1.00197-2 (will be published in 2025).

11. Mannens, C.A.A., Hu, L., Lönnerberg, P., Schipper, M., et al. Chromatin accessibility during human first-trimester neurodevelopment. Nature; doi: https://doi.org/10.1038/s41586-024-07234-1 (2024).

12. Mertens, E.J., Leibner, Y., Pie, J., Galakhova, A.A., et al. Morpho-electric diversity of human hippocampal CA1 pyramidal neurons. Cell Rep., 43(4):114100. doi: https://doi.org/10.1016/j.celrep.2024.114100 (2024).

13. Michielsen, L., Reinders, M.J.T., Mahfouz, A. Predicting cell population-specific gene expression from genomic sequence. Front Bioinform. 4; doi: https://doi.org/10.3389/fbinf.2024.1347276 (2024).

14. Michielsen, L., Hsu, J., Joglekar, A., Belchikov, N., et al. Predicting cell-type-specific exon inclusion in the human brain reveals more complex splicing mechanisms in neurons than glia. bioRxiv [preprint]; doi: https://doi.org/10.1101/2024.03.18.585465 (2024).

15. Robke, R., Arbab, T., Smith, R., Willuhn, I. Value-Driven Adaptations of Mesolimbic Dopamine Release Are Governed by Both Model-Based and Model-Free Mechanisms. eNeuro, 11(7):ENEURO.0223-24.2024; doi: https://doi.org/10.1523/ENEURO.0223-24.2024 (2024).

16. Romero C., Leeuw, C. de, Schipper, M., Maciel, B. de A. P. C., et al. Immune-developmental processes contribute to schizophrenia risk: insights from a genetic overlap study. medRxiv [preprint]; doi: https://doi.org/10.1101/2024.04.10.24305626 (2024).

17. Rybiczka-Tešulov, M., Garritsen, O., Venø, M.T., Wieg, L., et al. Circular RNAs regulate neuron size and migration of midbrain dopamine neurons during development. Nat Commun. 15(1):6773; doi: https://doi.org/10.1038/s41467-024-51041-1 (2024).

18. Schipper, M., de Leeuw, C.A., Maciel, B.A.P.C, Wightman, D.P., Hubers, N., Boomsma, D.I., O’Donovan, M.C., Posthuma, D. Gene prioritization in GWAS loci using multimodal evidence, Nat Genet., accepted for publication; doi: https://doi.org/10.1101/2023.12.23.23300360 (2024).

19. Supiot, L.F.., Benschop, A., Nicolson, A., Haak, R, et al. A prefrontal cortex-lateral hypothalamus circuit controls stress-driven food intake. bioRxiv [preprint]; doi: https://doi.org/10.1101/2024.05.02.592146 (2024).

20. Wightman, D. P., Maciel, B. de A. P. C., Brouwer, R. M., van den Heuvel, M. P., Posthuma, D. Rare variant aggregation highlights rare disease genes associated with brain volume variation. medRxiv [preprint]; doi: https://doi.org/10.1101/2024.09.26.24314187 (2024).

21. Zhang, M., Bouland, G.A., Holstege, H., Reinders, M.J.T. Identifying Aging and Alzheimer Disease–Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex. Neurol Genet. 9(3):e200066; doi: https://doi.org/10.1212/NXG.0000000000200066 (2024).

22. Vieth, A., Kroes, T., Thijssen, J., van Lew, B., et al. ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data. IEEE Trans Vis Comput Graph. 30(1):175-185; doi: https://doi.org/10.1109/TVCG.2023.3326582 (2023) (Best Papers Honorable Mention).

23. Zeller, P., Blotenburg, M., Bhardwaj, V., de Barbanson, B.A., et al. T-ChIC: multi-omic detection of histone modifications and full-length transcriptomes in the same single cell. BioRxiv [Preprint]; doi: https://doi.org/10.1101/2024.05.09.593364 (2023).

2023

1. Adam, A.R., Martínez-López, J.A., van der Spek, S.J.F., SYNGO consortium, et al. Transcriptional diversity in specific synaptic gene sets discriminates cortical neuronal identity, Biol Direct. 18(1):22; doi: https://10.1186/s13062-023-00372-y (2023).

2. Basu., S., Eggermont, J., Kroes, T., Jorstad, N., et al. Cytosplore Simian Viewer: Visual Exploration for Multi-Species. Eurographics Workshop on Visual Computing for Biology and Medicine, Hansen, Procter and Raidou (Editors); doi: https://10.2312/vcbm.20231219 (2023).

3. Biharie, K., Michielsen, L., Reinders, M.J.T., Mahfouz, A., Cell type matching across species using protein embeddings and transfer learning. Bioinformatics 39 (Suppl 1):i404-412; doi: https://doi.org/10.1093/bioinformatics/btad248 (2023).

4. van den Boom, B.J.G., Elhazaz-Fernandez, A., Rasmussen, P.A., van Beest, E.H., et al. Unraveling the mechanisms of deep-brain stimulation of the internal capsule in a mouse model. Nat. Commun. 14(1):5385; doi: https://doi.org/10.1038/s41467-023-41026-x (2023).

5. Bouland, G.A., Mahfouz, A., Reinders, M.J.T., Consequences and opportunities arising due to sparser single-cell RNA-seq datasets. Genome Biol. 24(1), 86; doi: https://10.1186/s13059-023-02933-w (2023).

6. Bouland, G.A., Marinus, K.I., Van Kesteren, R.E., Smit, A.B., et al. Single-cell RNA sequencing data reveals rewiring of transcriptional relationships in Alzheimer’s Disease associated with risk variants. medRxiv [preprint]; doi: https://doi.org/10.1101/2023.05.15.23289992  (2023).

7. Brosens, N., Lesuis, S.L., Rao-Ruiz, P., van den Oever, M.C., Krugers, H.J. Shaping Memories Via Stress: A Synaptic Engram Perspective. Biol Psychiatry 15: S0006-3223(23)01720-1; doi: https://doi.org/10.1016/j.biopsych.2023.11.008 (2023).

8. Brunner, J.W., Lammertse, H.C.A., van Berkel, A.A., Koopmans, F., et al. Power and optimal study design in iPSC-based brain disease modelling. Mol Psychiatry 28:1545–1556; doi: https://doi.org/10.1038/s41380-022-01866-3 (2023).

9. Chartrand, T., Dalley, R., Close, J., Goriounova, N.A., et al. Morphoelectric and transcriptomic divergence of the layer 1 interneuron repertoire in human versus mouse neocortex. Science 382(6667):eadf0805; doi: https://doi.org/10.1126/science.adf0805 (2023).

10. Driessens, S.L.W., Galakhova, A.A., Heyer, D.B., Pieterse, I.J., et al. Genes associated with cognitive ability and HAR show overlapping expression patterns in human cortical neuron types. Nature Commun. 14(1):4188; doi: https://doi.org/10.1038/s41467-023-39946-9 (2023).

11. Garritsen, O., van Battum, E.Y., Grossouw, L.M., Pasterkamp, R.J. Development, wiring and function of dopamine neuron subtypes. Nat Rev Neurosci. 24:135-152; doi: https://doi.org/10.1038/s41583-022-00669-3 (2023).

12. Goedhoop, J., Arbab, T., Willuhn, I. Anticipation of Appetitive Operant Action Induces Sustained Dopamine Release in the Nucleus Accumbens, J Neurosci. 43(21):3922-3932; doi: https://doi.org/10.1523/JNEUROSCI.1527-22.2023 (2023).

13. Gribaudo, S., Robert, R., van Sambeek, B., Mirdass, C., et al. Self-organizing models of human trunk organogenesis recapitulate spinal cord and spine co-morphogenesis. Nat Biotechnol. 42(8):1243-1253;  doi: https://doi.org/10.1038/s41587-023-01956-9  (2023).

14. Hunt, S., Leibner, Y., Mertens, E.J., Barros-Zulaica, N., et al. Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex. Cerebral Cortex 33(6):2857-2878; doi: https://doi.org/10.1093/cercor/bhac246 (2023).

15. Jorstad, N.L., Song, J.H.T., Exposit-Alonso, D., Suresh, H., et al. Comparative transcriptomics reveals human-specific cortical features. Science 382(6667):eade9516; doi: https://doi.org/10.1126/science.ade9516 (2023).

16. Koutlas, I., Linders, L.E., Van der Starre, S.E., Wolterink-Donselaar, I.G., et al. Characterizing and TRAPing a social stress-activated neuronal ensemble in the ventral tegmental area. Front Behav Neurosci. 16:936087. doi: https://doi.org/10.3389/fnbeh.2022.936087 (2023).

17. Lee, B.R., Dalley, R., Miller, J.A., Chartrand, T., et al. Signature morphoelectric properties of diverse GABAergic interneurons in the human neocortex. Science, 382(6667):eadf6484; doi: https://doi.org/10.1126/science.adf6484.

18. Li, C., Thijssen, J., Kroes, T., de Boer, M., et al. SpaceWalker enables interactive gradient exploration for spatial transcriptomics data. Cell Rep Methods 3(12):100645; doi: https://doi.org/10.1016/j.crmeth.2023.100645 (2023).

19. Linders, L. E., Patrikiou, L., Soiza-Reilly, M., Schut, E.H.S., et al. Stress-driven potentiation of lateral hypothalamic synapses onto ventral tegmental area dopamine neurons causes increased consumption of palatable food, Nat Commun. 13(1):6898; doi: https://10.1038/s41467-022-34625-7 (2023).

20. Maciel, B. de A. P. C., Helwegen, K. G., van den Heuvel, M. De genetica van hersennetwerken. Tijdschrift voor Psychiatrie, 601–604 (2023).

21. Michielsen, L., Lotfollahi, M., Strobl, D., Sikkema, L., et al. Single-cell reference mapping to construct and extend cell-hierarchies. NAR Genom Bioinform. 5(3):lqad070; doi: https://doi.org/10.1093/nargab/lqad070 (2023).

22. Montalban, E., Giralt, A., Taing, L., Schut, E., et al. Translational profiling of mouse dopaminoceptive neurons reveals region-specific gene expression, exon usage, and striatal prostaglandin E2 modulatory effects, Mol Psychiatry. 27(4):2068-2079; doi: https://10.1038/s41380-022-01439-4 (2023).

23. Schipper, M., de Leeuw, C.A., Maciel, B.A.P.C., Wightman, D.P., et al. Gene prioritization in GWAS loci using multimodal evidence. medRxiv [preprint]; doi: https://doi.org/10.1101/2023.12.23.23300360 (2023).

24. Singh, A., Biharie, K., Reinders, M.J.T., Mahfouz, A., Abdelaal, T. scTopoGAN: unsupervised manifold alignment of single-cell data. Bioinform Adv. 3(1):vbad171; doi: https://doi.org/10.1093/bioadv/vbad171 (2023).

25. Wightman, D.P., Savage J.E., de Leeuw, C.A., Jansen, I.E., Posthuma, D. Rare variant aggregation in 148,508 exomes identifies genes associated with proxy dementia. Sci Rep. 13:2179; doi: https://doi.org/10.1038/s41598-023-29108-8 (2023).

26. Wightman, D. P., Savage, J.E., Tissink, E., Romero, C., et al. The genetic overlap between Alzheimer’s disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson’s disease. Neurobiol Aging 127:99-112; doi: https://doi.org/10.1016/j.neurobiolaging.2023.03.004 (2023).

27. Wilbers, R., Metodieva, V.D., Duverdin, S., Heyer, D.B., et al. Human voltage-gated Na+ and K+ channel properties underlie sustained fast AP signaling. Science Adv., 9(41): eade3300; doi: https://doi.org/10.1126/sciadv.ade3300 (2023).

28. Zhang, M., Bouland, G. A., Holstege, H., Reinders, M. J. T. Identifying Aging and Alzheimer Disease–Associated Somatic Variations in Excitatory Neurons From the Human Frontal Cortex. Neurol Genet. 9:e200066; doi: https://doi.org/10.1212/NXG.0000000000200066 (2023).

2022

1. Bruinsma, B., Pattij, T., Mansvelder, H.D. Prefrontal cortical to mediodorsal thalamus projection neurons regulate post-error adaptive control of behavior. eNeuro 9:ENEURO.0254-22.2022; doi: https://doi.org/10.1523/ENEURO.0254-22.2022 (2022).

3. Donega, V., van der Geest, A.T., Sluijs, J.A., van Dijk, R.E. et al. Single-cell profiling of human subventricular zone progenitors identifies SFRP1 as a target to re-activate progenitors. Nat Commun. 13:1036; doi: https://doi.org/1038/s41467-022-28626-9 (2022).

4. van Elzelingen, W., Goedhoop, J., Warnaar, P.J., Arbab, T. et al. A unidirectional but not uniform striatal landscape of dopamine signaling for motivational stimuli. Proc Natl Acad Sci USA. 119:e2117270119; doi: https://doi.org/10.1073/pnas.2117270119 (2022).

5. van Elzelingen, W., Warnaar, P.J., Matos, J., Bastet, W. et al. Striatal dopamine dynamics during action-sequence habit formation are stable and region-specific. Curr Biol. 32:1163-1174.e6; doi: https://doi.org/10.1016/j.cub.2021.12.027 (2022).

6. Galakhova, A.A., Hunt, S., Wilbers, R., Heyer, D.B. et al. Evolution of cortical neurons supporting human cognition. Trends Cogn Sci. 26:909-922; doi: https://doi.org/1016/j.tics.2022.08.012 (2022).

7. Goedhoop, J., van den Boom, B.J.G., Robke, R., Veen, F. et al. Nucleus-accumbens dopamine tracks aversive stimulus duration and prediction but not value or prediction error. eLife 11:e82711; https://doi.org/10.7554/eLife.82711 (2022).

8. van de Haar, L.L., Riga, D, Boer, J.E., Garritsen, O. et al. Molecular signatures and cellular diversity during mouse habenula development. Cell Rep. 40, 111029; https://doi.org/1016/j.celrep.2022.111029 (2022).

9. Hunt, S., Leibner, Y., Mertens, E.J., Barros-Zulaica, N, et al. Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex. Cereb Cortex 33(6):2857-2878; doi: https://doi.org/10.1093/cercor/bhac246 (2022).

10. Kakava-Georgiadou, N., Drkelic, V., Garner, K.M., Luijendijk et al. Molecular profile and response to energy deficit of leptin-receptor neurons in the lateral hypothalamus. Sci Rep. 12:13374; doi: https://doi.org/10.1038/s41598-022-16492-w (2022).

11. Koutlas, I., Linders, L.E., van der Starre, S.E., Wolterink-Donselaar, I.G. et al. Characterizing and TRAPing a social stress-activated neuronal ensemble in the ventral tegmental area. Front Behav Neurosci. 16:936087; doi: https://doi.org/3389/fnbeh.2022.936087 (2022).

12. Linders, L.E., Patrikiou, L., Soiza-Reilly, M., Schut, E.H.S. et al. Stress-driven potentiation of lateral hypothalamic synapses onto ventral tegmental area dopamine neurons causes increased consumption of palatable food. Nat Commun. 13:6898; https://doi.org/10.1038/s41467-022-34625-7 (2022).

13. Montalban, E., Giralt, A., Taing, L., Schut, E., et al. Translational profiling of mouse dopaminoceptive neurons reveals region-specific gene expression, exon usage, and striatal prostaglandin E2 modulatory effects. Mol Psychiatry 27(4):2068-2079; doi: https://doi.org/10.1038/s41380-022-01439-4 (2022). Self-archived version available through the HAL open access database.

14. Olislagers, M., Rademaker, K., Adan, R.A.H., Lin, B.D., Luykx, J.J. Comprehensive analyses of RNA-seq and genome-wide data point to enrichment of neuronal cell type subsets in neuropsychiatric disorders. Mol. Psychiatry 27(2):947-955; doi: https://doi.org/10.1038/s41380-021-01324-6 (2022).

15. Romero, C., Werme, J., Jansen, P.R., Gelernter, J. et al. Exploring the genetic overlap between 12 psychiatric disorders. Nat Genet. 54(12):1795-1802; doi: https://doi.org/10.1038/s41588-022-01245-2 (2022)

16. Schipper, M., Posthuma, D. Demystifying non-coding GWAS variants: an overview of computational tools and methods. Hum Mol Genet. 31(R1):R73-R83; doi: https://doi.org/10.1093/hmg/ddac198 (2022).

17. Tielbeek, J.J., Uffelmann, E., Williams, B.S., Colodro-Conde, L., Gagnon, É. et al. Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis. Mol Psychiatry 7(11):4453-4463; doi: https://doi.org/10.1038/s41380-022-01793-3 (2022).

18. Wilbers, R., Galakhova, A.A., Driessens, S.L.W., Heistek, T.S., et al. Structural and functional specializations of human fast-spiking neurons support fast cortical signaling. Science Adv. 9(41):eadf0708; doi: https://doi.org/10.1126/sciadv.adf0708 (2023).

19. Zhang, Y., Miller, J.A., Park, J., Lelieveldt, B.P., et al. Reference-based cell type matching of spatial transcriptomics data. bioRxiv [preprint]; doi: https://www.biorxiv.org/content/10.1101/2022.03.28.486139v2 (2022).

2021

1. Aevermann, B.D., Zhang, Y., Novotny, M., Keshk, M.,  et al. A machine learning method for the discovery of minimum marker gene combinations for cell-type identification from single-cell RNA sequencing. Genome Res. 31(10):1767-1780; doi: https://doi.org/10.1101/gr.275569.121 (2021).

2. Bakken, T.E., Jorstad, N.L., Hu, Q., Lake, B.B., et al. Comparative cellular analysis of motor cortex in human, marmoset and mouse. Nature 598(7879):111-119; doi: https://doi.org/10.1038/s41586-021-03465-8 (2021).

3. Berg, J., Sorensen, S.A., Ting, J.T., Miller, J.A. et al. Human neocortical expansion involves glutamergic neuron diversification. Nature 598(7879):151-158; doi: https://doi.org/10.1038/s41586-021-03813-8 (2021).

4. Bouland, G.A., Mahfouz, A., Reinders, M.J.T. Differential analysis of binarized single-cell RNA sequencing data captures biological variation. NAR Genom Bioinform. 3:lqab118; 10.1093/nargab/lqab118 (2021).

5. Keo, A., Dzyubachyk, O., van der Grond, J., Hafkemeijer, A. et al. Cingulate networks associated with gray matter loss in Parkinson’s disease show high expression of cholinergic genes in the healthy brain. Euro J Neurosci. 53(11):3727-3739; doi: https://doi.org/10.1111/ejn.15216 (2021)

6. de Kloet, S.F., Bruinsma, B., Terra, H., Heistek, T.S. et al. Bi-directional regulation of cognitive control by distinct prefrontal cortical output neurons to thalamus and striatum. Nat Commun. 12(1):1994; doi: https://doi.org/10.1038/s41467-021-22260-7 (2021).

7. Meijer, M., Keo, A., van Leeuwen, J.M.C., Dzyubachyk, O., et al. Molecular characterization of the stress network in individuals at risk for schizophrenia. Neurobiol Stress. 14:100307; doi: https://doi.org/10.1016/j.ynstr.2021.100307 (2021).

8. Michielsen, L., Reinders, J.T., Mahfouz, A. Hierarchical progressive learning of cell identities in single-cell data. Nat Commun. 12(1):2799;  doi: https://doi.org/10.1038/s41467-021-23196-8 (2021).

9. Moro, A., Van Nifterick, A., Toonen, R.F., Verhage, M. Dynamin controls neuropeptide secretion by organizing dense-core vesicle fusion sites. Sci Adv. 7:eabf0659; doi: https://doi.org/10.1126/sciadv.abf0659 (2021).

10. Robinson, R.A., Griffiths, S.C., van de Haar, L.L., Aricescu, A.R., et al. Simultaneous binding of guidance cues NET1 and RGM blocks extracellular NEO1 signaling. Cell 184(8):2103-2120; doi: https://doi.org/10.1016/j.cell.2021.02.045 (2021).

11. Uffelmann, E., Huang, Q.Q., Munung, N.S., de Vries, J. et al. Genome-wide association studies. Nat Rev Meth Prim. 1(59); doi: https://doi.org/10.1038/s43586-021-00056-9 (2021).

12. Wightman, D.P., Jansen, I.E., Savage, J.E., Shadrin, A.A., et al. A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease. Nat Genet. 53:1276-1282; doi: https://doi.org/10.1038/s41588-021-00921-z (2021).

2020

1. Abdelaal, T., de Raadt, P., Lelieveldt, B.P.F., Reinders, M.J.T, Mahfouz A. SCHNEL: scalable clustering of high dimensional single-cell data. Bioinformatics 36:i849-i856; doi: https://doi.org/10.1093/bioinformatics/btaa816 (2020).

2. Charrout, M., Reinders, M.J.T., Mahfouz, A. Untangling biological factors influencing trajectory inference from single cell data. NAR Genom Bioinform. 2(3):lqaa053; doi: https://doi.org/10.1093/nargab/lqaa053 (2020).

3. Terra, H., Bruinsma, B., de Kloet, S.F., van der Roest, M. et al. Prefrontal cortical projection neurons targeting dorsomedial striatum control behavioral inhibtion. Curr Biol. 30:4188-4200.e5; https://doi.org/10.1016/j.cub.2020.08.031 (2020).

4. Uffelmann, E., Posthuma, D. Emerging methods and resources for biological interrogation of neuropsychiatric polygenic signal. Biol Psychiatry 89(1):41-53; doi: https://doi.org/10.1016/j.biopsych.2020.05.022 (2020).

5. Verhage, M., Sørensen, J.B. SNAREopathies: Diversity in mechanisms and symptoms. Neuron 107(1):22-37; doi: https://doi.org/10.1016/j.neuron.2020.05.036 (2020).