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Title	Authors ▾	Journal	Publication year	DOI PMID
Deep-learning-based cell composition analysis from tissue expression profiles	Menden K, Marouf M, Dalmia A, Heutink P, Bonn S	bioRxiv	2019	10.1101/659227
Deep learning–based cell composition analysis from tissue expression profiles	Menden K, Marouf M, (...), Bonn S	Science Advances	2020	10.1126/sciadv.aba2619 32832661
Correlating Synaptic Ultrastructure and Function at the Nanoscale	Maus L, Altas B, Rhee J, Brose N, Imig C, Cooper BH	bioRxiv	2019	10.1101/588848
Ultrastructural Correlates of Presynaptic Functional Heterogeneity in Hippocampal Synapses	Maus L, Lee C, (...), Cooper BH	Cell Reports	2020	10.1016/j.celrep.2020.02.083 32187536
Neuropathology of patients with COVID-19 in Germany: a post-mortem case series	Matschke J, Lütgehetmann M, (...), Glatzel M	Lancet Neurology	2020	10.1016/s1474-4422(20)30308-2
Robust nanoscopy of a synaptic protein in living mice by organic-fluorophore labeling	Masch J, Steffens H, (...), Hell SW	Proceedings of the National Academy of Sciences of the United States of America	2018	10.1073/pnas.1807104115 30082388
Membrane binding, internalization, and sorting of alpha-synuclein in the cell	Masaracchia C, Hnida M, (...), Outeiro TF	Acta Neuropathologica Communications	2018	10.1186/s40478-018-0578-1 30107856
In vitro models of synucleinopathies: informing on molecular mechanisms and protective strategies	Marvian AT, Koss DJ, Aliakbari F, Morshedi D, Outeiro TF	Journal of Neurochemistry	2019	10.1111/jnc.14707 31004503
Low-Expressing Synucleinopathy Mouse Models Based on Oligomer-Forming Mutations and C-Terminal Truncation of α-Synuclein	Martinez Hernandez A, Silbern I, (...), Eichele G	Frontiers in Neuroscience	2021	10.3389/fnins.2021.643391 34220415
Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks	Marouf M, Machart P, (...), Bonn S	Nature Communications	2020	10.1038/s41467-019-14018-z 31919373