Literature DB >> 25381866

Quantifying biased response of axon to chemical gradient steepness in a microfluidic device.

Rong-Rong Xiao1, Lei Wang, Lin Zhang, Yu-Ning Liu, Xiao-Lei Yu, Wei-Hua Huang.   

Abstract

Axons are very sensitive to molecular gradients and can discriminate extremely small differences in gradient steepness. Microfluidic devices capable of generating chemical gradients and adjusting their steepness could be used to quantify the sensitivity of axonal response. Here, we present a versatile and robust microfluidic device that can generate substrate-bound molecular gradients with evenly varying steepness on a single chip to precisely quantify axonal response. In this device, two solutions are perfused into a central channel via two inlets while partially flowing into two peripheral channels through interconnecting grooves, which gradually decrease the fluid velocity along the central channel. Molecular gradients with evenly and gradually decreased steepness can therefore be generated with a high resolution that is less than 0.05%/mm. In addition, the overall distribution range and resolution of the gradient steepness can be highly and flexibly controlled by adjusting various parameters of the device. Using this device, we quantified the hippocampal axonal response to substrate-bound laminin and ephrin-A5 gradients with varying steepnesses. Our results provided more detailed information on how and to what extent different steepnesses guide hippocampal neuron development during the initial outgrowth. Furthermore, our results show that axons can sensitively respond to very shallow laminin and ephrin-A5 gradients, which could effectively initiate biased differentiation of hippocampal neurons in the steepness range investigated in this study.

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Year:  2014        PMID: 25381866     DOI: 10.1021/ac504159g

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  4 in total

1.  Analytical Techniques in Neuroscience: Recent Advances in Imaging, Separation, and Electrochemical Methods.

Authors:  Mallikarjunarao Ganesana; Scott T Lee; Ying Wang; B Jill Venton
Journal:  Anal Chem       Date:  2016-11-22       Impact factor: 6.986

2.  Gradient-reading and mechano-effector machinery for netrin-1-induced axon guidance.

Authors:  Wataru Yoshida; Michinori Toriyama; Kentarou Baba; Tadayuki Shimada; Colleen F Manning; Michiko Saito; Kenji Kohno; James S Trimmer; Rikiya Watanabe; Naoyuki Inagaki
Journal:  Elife       Date:  2018-08-07       Impact factor: 8.140

3.  Generation of Gradients on a Microfluidic Device: Toward a High-Throughput Investigation of Spermatozoa Chemotaxis.

Authors:  Yi Zhang; Rong-Rong Xiao; Tailang Yin; Wei Zou; Yun Tang; Jinli Ding; Jing Yang
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

4.  Development of a shear stress-free microfluidic gradient generator capable of quantitatively analyzing single-cell morphology.

Authors:  David Barata; Giulia Spennati; Cristina Correia; Nelson Ribeiro; Björn Harink; Clemens van Blitterswijk; Pamela Habibovic; Sabine van Rijt
Journal:  Biomed Microdevices       Date:  2017-09-07       Impact factor: 2.838

  4 in total

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