Proneurogenic Ligands Defined by Modeling Developing Cortex Growth Factor Communication Networks
نویسندگان
چکیده
The neural stem cell decision to self-renew or differentiate is tightly regulated by its microenvironment. Here, we have asked about this microenvironment, focusing on growth factors in the embryonic cortex at a time when it is largely comprised of neural precursor cells (NPCs) and newborn neurons. We show that cortical NPCs secrete factors that promote their maintenance, while cortical neurons secrete factors that promote differentiation. To define factors important for these activities, we used transcriptome profiling to identify ligands produced by NPCs and neurons, cell-surface mass spectrometry to identify receptors on these cells, and computational modeling to integrate these data. The resultant model predicts a complex growth factor environment with multiple autocrine and paracrine interactions. We tested this communication model, focusing on neurogenesis, and identified IFNγ, Neurturin (Nrtn), and glial-derived neurotrophic factor (GDNF) as ligands with unexpected roles in promoting neurogenic differentiation of NPCs in vivo.
منابع مشابه
The Effects of Broadband Infrastructure on Economic Growth in Developing Countries
In this paper we investigate the effects of broadband infrastructure providing high speed internet, on economic growth in developing countries. We have used two different broadband measures to classify developing countries into two groups for the period 1999-2008. By using logistic diffusion model and IV approach, a nonlinear diffusion model is specified. Differences in ceiling of diffusion cur...
متن کاملNeurotrophins regulate dendritic growth in developing visual cortex
Although dendritic growth and differentiation are critical for the proper development and function of neocortex, the molecular signals that regulate these processes are largely unknown. The potential role of neurotrophins was tested by treating slices of developing visual cortex with NGF, BDNF, NT-3, or NT-4 and by subsequently visualizing the dendrites of pyramidal neurons using particle-media...
متن کاملComputational modeling of dynamic decision making using connectionist networks
In this research connectionist modeling of decision making has been presented. Important areas for decision making in the brain are thalamus, prefrontal cortex and Amygdala. Connectionist modeling with 3 parts representative for these 3 areas is made based the result of Iowa Gambling Task. In many researches Iowa Gambling Task is used to study emotional decision making. In these kind of decisio...
متن کاملAn eIF4E1/4E-T Complex Determines the Genesis of Neurons from Precursors by Translationally Repressing a Proneurogenic Transcription Program
Here, we have addressed the mechanisms that determine genesis of the correct numbers of neurons during development, focusing on the embryonic cortex. We identify in neural precursors a repressive complex involving eIF4E1 and its binding partner 4E-T that coordinately represses translation of proteins that determine neurogenesis. This eIF4E1/4E-T complex is present in granules with the processin...
متن کاملThe Modeling and Comparison of GMDH and RBF Artificial Neural Networks in Forecasting Consumption of Petroleum Products in the Agricultural Sector
Energy plays a significant role in today's developing societies. The role of energy demands to make decisions and policy with regard to its production, distribution, and supply. The vital importance of energy, especially fossil fuels, is a factor affecting agricultural production. This factor has a great influence on the production of agricultural products in Iran. The forecast of the con...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Neuron
دوره 91 شماره
صفحات -
تاریخ انتشار 2016