The processes of stem cell self-renewal and differentiation are regulated in large part by specialized niches, structurally complex microenvironments that present their resident stem cells with numerous cues in the form of soluble factors, extracellular matrix (ECM), and juxtacrine factors from neighboring cells. Within the adult mammalian brain, for example, neural stem cells (NSCs) in the hippocampus continuously divide to give rise to new neurons that play roles in learning and memory, and these cells are regulated by growth factors, morphogens, ECM, and juxtacrine signals from neighboring astrocytes. Gaining deeper insights into the mechanisms through which these niches regulate stem cells can aid in the development of in vitro biomaterials culture systems for expanding and differentiating stem cells in translational medicine applications. It is now widely appreciated that in addition to its biochemical properties, the mechanical properties of the niche (e.g., stiffness) can also powerfully regulate stem cell behavior, and indeed we recently showed that this true of NSCs. However, in general the field lacks key molecular and mechanistic information about how stem cells process such mechanical cues at the cell-ECM interface to give rise to changes in cell fate, how these mechanotransductive signals interface with transcriptional events traditionally understood to control processes such as neurogenesis, and whether mechanotransductive signaling can also control neurogenesis in vivo. In this proposal we will address all of these open questions.
Aim 1 will investigate the dynamics of mechanotransduction to cellular adhesion receptors and the cytoskeleton. Specifically, we will conduct biophysical and biochemical measurements to analyze how mechanical information from the cellular microenvironment is propagated through cells - including adhesion receptors, focal adhesion proteins, and nonmuscle myosin II - as cell fate decisions are made. In addition, Aim 2 will investigate how substrate stiffness impacts the activation of NeuroD to control neuronal differentiation. We will do this by quantifying the dynamics by which the gene encoding a key proneural transcription factor receives and integrates upstream mechanical signals as cells commit to a neuronal fate. An innovative tool in this aim, new to this revised application, i the use of synthetic ECMs whose stiffness may be dynamically and reversibly switched. This revised application also includes new data demonstrating our ability to control neurogenesis in vivo by genetically manipulating mechanotransductive signals in a rat model. Thus, in both aims we will apply this capability to determine whether signaling effectors implicated in mechanosensitive fate choice in vitro also regulate this process in vivo. In summary, this proposal blends stem cell biology, mechanobiology, and materials synthesis to develop quantitative, mechanistic insights into stem cell mechanoregulation, with implications for both basic stem cell biology and the future development of advanced biomaterials systems for regenerative medicine.

Public Health Relevance

Adult neural stem cells (NSCs) are a population of cells in the adult brain that have the ability to renew themselves throughout life and give rise to a variety of cell types, including neurons. NSCs are of tremendous interest for both their potential role in neural development and disease and because they may be harnessed in various ways to treat neurodegenerative disease (e.g., Alzheimer's, Parkinson's, and Lou Gehrig's Diseases). The goal of this proposal is to understand mechanisms through which biomechanical inputs from the cellular microenvironment influence NSC neurogenesis in vitro and in vivo, which we expect will significantly add to our understanding of NSC biology and help inform the design of tissue engineering and regenerative medicine strategies to treat disease.

National Institute of Health (NIH)
National Institute of Neurological Disorders and Stroke (NINDS)
Research Project (R01)
Project #
Application #
Study Section
Biomaterials and Biointerfaces Study Section (BMBI)
Program Officer
Lavaute, Timothy M
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of California Berkeley
Engineering (All Types)
Biomed Engr/Col Engr/Engr Sta
United States
Zip Code
Shyer, Amy E; Rodrigues, Alan R; Schroeder, Grant G et al. (2017) Emergent cellular self-organization and mechanosensation initiate follicle pattern in the avian skin. Science 357:811-815
Kassianidou, Elena; Hughes, Jasmine H; Kumar, Sanjay (2017) Activation of ROCK and MLCK tunes regional stress fiber formation and mechanics via preferential myosin light chain phosphorylation. Mol Biol Cell 28:3832-3843
Chen, Joseph; Kumar, Sanjay (2017) Biophysical Regulation of Cancer Stem/Initiating Cells: Implications for Disease Mechanisms and Translation. Curr Opin Biomed Eng 1:87-95
Luque, Tomás; Kang, Michael S; Schaffer, David V et al. (2016) Microelastic mapping of the rat dentate gyrus. R Soc Open Sci 3:150702
Lee, Jessica P; Kassianidou, Elena; MacDonald, James I et al. (2016) N-terminal specific conjugation of extracellular matrix proteins to 2-pyridinecarboxaldehyde functionalized polyacrylamide hydrogels. Biomaterials 102:268-76
Guillou, Lionel; Dahl, Joanna B; Lin, Jung-Ming G et al. (2016) Measuring Cell Viscoelastic Properties Using a Microfluidic Extensional Flow Device. Biophys J 111:2039-2050
Hughes, Jasmine Hannah; Kumar, Sanjay (2016) Synthetic mechanobiology: engineering cellular force generation and signaling. Curr Opin Biotechnol 40:82-89
Yousef, Hanadie; Morgenthaler, Adam; Schlesinger, Christina et al. (2015) Age-Associated Increase in BMP Signaling Inhibits Hippocampal Neurogenesis. Stem Cells 33:1577-88
Kotterman, Melissa A; Vazin, Tandis; Schaffer, David V (2015) Enhanced selective gene delivery to neural stem cells in vivo by an adeno-associated viral variant. Development 142:1885-92
Ekerdt, Barbara L; Segalman, Rachel A; Schaffer, David V (2013) Spatial organization of cell-adhesive ligands for advanced cell culture. Biotechnol J 8:1411-23

Showing the most recent 10 out of 12 publications