Previous Page  88 / 155 Next Page
Information
Show Menu
Previous Page 88 / 155 Next Page
Page Background

Single-Cell Biophysics: Measurement, Modulation, and Modeling

Poster Abstracts

83 

77-POS

Board 39

A Scalable, DNA-Based Multicomponent Patterning Method to Model Multivariable

Neural Stem Cell-Niche Interactions from a Single-Cell Perspective

Olivia Scheideler

, Chun Yang, David Schaffer, Lydia Sohn.

University of California, Berkeley, Berkeley, CA, USA.

Biological processes are regulated by complex signaling networks that are challenging to dissect

due to the multitude of extrinsic signals that coordinate to guide cell behavior. Understanding

these extensive regulatory networks requires not only identifying contributing signaling

components – including ligands that are soluble, presented from the extracellular matrix, or

neighboring cell surfaces – but also investigating potential synergies or hierarchies between

multiple components. In order to enable studies of the later, we have developed a broadly

applicable high-throughput, high-resolution DNA-based patterning method that we employ to

recapitulate multivariable cell-ligand signaling scenarios. To complement bulk approaches that

offer lower resolution, population-level estimates of cell response, our platform offers the unique

dual capability to recapitulate cell-cell interactions with single-cell resolution and enable precise

spatial control of biologically-relevant “solid-phase” matrix cues. Using photolithographic

techniques, we generate multicomponent DNA patterns with spatial and hierarchical complexity

across different length scales. We demonstrate that these DNA patterns can instruct the

organization of heterogeneous cell populations as well as immobilize multiple ligands with

controlled spatial presentations. To demonstrate our method’s unique ability to address complex

biological questions, we reconstructed

in vitro

multifaceted signaling scenarios present within

the adult neural stem cell (NSC) niche. Specifically, we generated large-scale arrays of three-

component DNA patterns, where one DNA strand encodes the capture of single NSCs and the

other two dictates the spatial presentation of two immobilized niche ligands, fibroblast growth

factor and an ephrin-B2-mimetic peptide, that are known to promote opposing cell fates. We

demonstrate the ability to vary independently the concentration and spatial organization of these

two ligands, study their combined effects on single NSC differentiation after long-term culture,

and map out the hierarchy of these two signals within the niche.