M. E. Maes et al., “Mitochondrial network adaptations of microglia reveal sex-specific stress response after injury and UC knockout,” iScience, vol. 26, no. 10. Elsevier, 2023.

J. M. Michalska et al., “Imaging brain tissue architecture across millimeter to nanometer scales,” Nature Biotechnology. Springer Nature, 2023.

K. Bartalska et al., “A systematic characterization of microglia-like cell occurrence during retinal organoid differentiation,” iScience, vol. 25, no. 7. Elsevier, 2022.

V. Hübschmann, M. Korkut, and S. Siegert, “Assessing human iPSC-derived microglia identity and function by immunostaining, phagocytosis, calcium activity, and inflammation assay,” STAR Protocols, vol. 3, no. 4. Elsevier, 2022.

R. Schulz, M. Korkut, A. Venturino, G. Colombo, and S. Siegert, “Chimeric GPCRs mimic distinct signaling pathways and modulate microglia responses,” Nature Communications, vol. 13. Springer Nature, 2022.

G. Colombo et al., “A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes,” Nature Neuroscience, vol. 25, no. 10. Springer Nature, pp. 1379–1393, 2022.

J. M. Michalska et al., “Uncovering brain tissue architecture across scales with super-resolution light microscopy,” bioRxiv. Cold Spring Harbor Laboratory.

A. Venturino et al., “Microglia enable mature perineuronal nets disassembly upon anesthetic ketamine exposure or 60-Hz light entrainment in the healthy brain,” Cell Reports, vol. 36, no. 1. Elsevier, 2021.

M. E. Maes, G. M. Wögenstein, G. Colombo, R. Casado Polanco, and S. Siegert, “Optimizing AA/6 microglial targeting identified enhanced efficiency in the photoreceptor degenerative environment,” Molecular Therapy - Methods and Clinical Development, vol. 23. Elsevier, pp. 210–224, 2021.

A. Venturino and S. Siegert, “Minimally invasive protocols and quantification for microglia-mediated perineuronal net disassembly in mouse brain,” STAR Protocols, vol. 2, no. 4. Elsevierf; Cell Press, 2021.

M. E. Maes, G. Colombo, R. Schulz, and S. Siegert, “Targeting microglia with lentivirus and AAV: Recent advances and remaining challenges,” Neuroscience Letters, vol. 707. Elsevier, 2019.

A. Mungenast, S. Siegert, and L. Tsai, “Modeling Alzheimer’s disease with human induced pluripotent stem (iPS) cells,” Molecular and Cellular Neuroscience, vol. 73. Academic Press, pp. 13–31, 2016.

L. Tsai and S. Siegert, “How MicroRNAs Are involved in splitting the mind,” JAMA Psychiatry, vol. 73, no. 4. American Medical Association, pp. 409–410, 2016.

D. Rei et al., “Basolateral amygdala bidirectionally modulates stress induced hippocampal learning and memory deficits through a /Cdk5-dependent pathway,” PNAS, vol. 112, no. 23. National Academy of Sciences, pp. 7291–7296, 2015.

S. Siegert et al., “The schizophrenia risk gene product miR-137 alters presynaptic plasticity,” Nature Neuroscience, vol. 18. Nature Publishing Group, pp. 1008–1016, 2015.

S. Siegert et al., “Transcriptional code and disease map for adult retinal cell types,” Nature Neuroscience, vol. 15, no. 3. Nature Publishing Group, pp. 487–495, 2012.

V. Busskamp et al., “Genetic reactivation of cone photoreceptors restores visual responses in retinitis pigmentosa,” Science, vol. 329, no. 5990. American Association for the Advancement of Science, pp. 413–417, 2010.

T. Münch, R. Da Silveira, S. Siegert, T. Viney, G. Awatramani, and B. Roska, “Approach sensitivity in the retina processed by a multifunctional neural circuit,” Nature Neuroscience, vol. 12, no. 10. Nature Publishing Group, pp. 1308–1316, 2009.

S. Siegert, B. Scherf, K. Del Punta, N. Didkovsky, N. Heintz, and B. Roska, “Genetic address book for retinal cell types,” Nature Neuroscience, vol. 12, no. 9. Nature Publishing Group, pp. 1197–1204, 2009.

T. Viney et al., “Local retinal circuits of melanopsin-containing ganglion cells identified by transsynaptic viral tracing,” Current Biology, vol. 17, no. 11. Cell Press, pp. 981–988, 2007.