Volume 21, Issue 1, Pages (July 2017)

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Volume 21, Issue 1, Pages 18-34 (July 2017) Direct Neuronal Reprogramming: Achievements, Hurdles, and New Roads to Success  Sergio Gascón, Giacomo Masserdotti, Gianluca Luigi Russo, Magdalena Götz  Cell Stem Cell  Volume 21, Issue 1, Pages 18-34 (July 2017) DOI: 10.1016/j.stem.2017.06.011 Copyright © 2017 Elsevier Inc. Terms and Conditions

Figure 1 Proneural Transcription Factors Protein structure of mouse Neurogenin2 (Neurog2) and Ascl1. NLS, nuclear localization signal; HLH, helix-loop-helix; TAD, TransActivator Domain (Hand et al., 2005). The table indicates the homology between the mouse protein sequences and the mouse and human orthologs. (∗), predicted. (∗∗), Hand et al. (2005). Cell Stem Cell 2017 21, 18-34DOI: (10.1016/j.stem.2017.06.011) Copyright © 2017 Elsevier Inc. Terms and Conditions

Figure 2 Reprogramming Hurdles to Direct Neuronal Reprogramming Schematic representation of the hurdles to direct reprogramming so far identified, from most general to subtype-specific, and solutions already tested or to be explored. Cell Stem Cell 2017 21, 18-34DOI: (10.1016/j.stem.2017.06.011) Copyright © 2017 Elsevier Inc. Terms and Conditions

Figure 3 Metabolic Changes during Cell Reprogramming The scheme depicts the main metabolic shifts, in terms of glycolytic versus OxPhos rate, in different paradigms of cell fate change: during normal differentiation (from NPCs to neurons), in iPSC generation, and in direct neuronal reprogramming (from astrocytes, fibroblasts, or iPSCs). Hypoxia is highlighted as a general mechanism to improve certain paradigms of cell fate conversion, while ROS increases and death by ferroptosis are general hurdles in direct neuronal reprogramming. The curly brackets specify the main metabolic changes and key players involved in these processes. Cell Stem Cell 2017 21, 18-34DOI: (10.1016/j.stem.2017.06.011) Copyright © 2017 Elsevier Inc. Terms and Conditions

Figure 4 Effect of the In Vivo Environment in Neuronal Reprogramming The scheme illustrates the different phases that reprogramming has to face in a damaged environment in vivo. (1) Tissue damage leads to oxygen and nutrient deprivation, increased glycolytic rate, and ROS levels. This environment is harmful for neuronal survival and reprogramming. (2) Several cell types surrounding the lesion area can be targeted and reprogrammed by viral vectors. Glia hypertrophy, proliferation, infiltration of immune cells, release of chemokines, and increased ROS can be detrimental (−) or beneficial (+) for reprogramming. (3) After reprogramming is accomplished, iNs must establish new connections and integrate into the damaged neuronal circuitry. (4) INs can improve the deficits in brain function. Cell Stem Cell 2017 21, 18-34DOI: (10.1016/j.stem.2017.06.011) Copyright © 2017 Elsevier Inc. Terms and Conditions