High-Throughput Quantitative Assay for Analyzing Neurite Outgrowth on a Uniform Substratum: The Cell-Substratum Assay

Author(s):  
Justin A. Beller ◽  
Thomas M. Hering ◽  
Diane M. Snow
2019 ◽  
Vol 142 (1) ◽  
pp. 185-197 ◽  
Author(s):  
Geoffrey W. Grime ◽  
Oliver B. Zeldin ◽  
Mary E. Snell ◽  
Edward D. Lowe ◽  
John F. Hunt ◽  
...  

2008 ◽  
Vol 169 (1) ◽  
pp. 34-42 ◽  
Author(s):  
Jennifer W.J. Wong ◽  
Harry C. Brastianos ◽  
Raymond J. Andersen ◽  
Timothy P. O’Connor

2005 ◽  
Vol 22 (1) ◽  
pp. 8-13 ◽  
Author(s):  
Sakae Saito ◽  
Kimi Honma ◽  
Hiroko Kita-Matsuo ◽  
Takahiro Ochiya ◽  
Kikuya Kato

We measured the expression levels of 450 genes during mouse postnatal cerebellar development by quantitative PCR using RNA purified from layers of the cerebellar cortex. Principal component analysis of the data matrix demonstrated that the first and second components corresponded to general levels of gene expression and gene expression patterns, respectively. We introduced 288 of the 450 genes into PC12 cells using a high-throughput transfection assay based on atelocollagen and determined the ability of each gene to promote neurite outgrowth or cell proliferation. Five genes induced neurite outgrowth, and seven genes enhanced proliferation. Evaluation of the functional data and gene expression patterns showed that none of these genes exhibited elevated expression at maturation, suggesting that genes characteristic of mature neurons are not likely to participate in neuronal development. These results demonstrate that functional data can facilitate interpretation of expression profiles and identification of new molecules that participate in biological processes.


Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 931
Author(s):  
Justus Schikora ◽  
Nina Kiwatrowski ◽  
Nils Förster ◽  
Leonie Selbach ◽  
Friederike Ostendorf ◽  
...  

Neuronal models of neurodegenerative diseases such as Parkinson’s Disease (PD) are extensively studied in pathological and therapeutical research with neurite outgrowth being a core feature. Screening of neurite outgrowth enables characterization of various stimuli and therapeutic effects after lesion. In this study, we describe an autonomous computational assay for a high throughput skeletonization approach allowing for quantification of neurite outgrowth in large data sets from fluorescence microscopic imaging. Development and validation of the assay was conducted with differentiated SH-SY5Y cells and primary mesencephalic dopaminergic neurons (MDN) treated with the neurotoxic lesioning compound Rotenone. Results of manual annotation using NeuronJ and automated data were shown to correlate strongly (R2-value 0.9077 for SH-SY5Y cells and R2-value 0.9297 for MDN). Pooled linear regressions of results from SH-SY5Y cell image data could be integrated into an equation formula (y=0.5410·x+1792; y=0.8789·x+0.09191 for normalized results) with y depicting automated and x depicting manual data. This automated neurite length algorithm constitutes a valuable tool for modelling of neurite outgrowth that can be easily applied to evaluate therapeutic compounds with high throughput approaches.


2010 ◽  
Vol 4 ◽  
pp. 74-83 ◽  
Author(s):  
Susan T Yeyeodu ◽  
Sam M Witherspoon ◽  
Nailya Gilyazova ◽  
Gordon C Ibeanu

2021 ◽  
Author(s):  
Anusha Dravid ◽  
Brad Raos ◽  
Darren Svirskis ◽  
Simon J O’Carroll

Abstract Neuronal models are a crucial tool in neuroscientific research, helping to elucidate the molecular and cellular processes involved in disorders of the nervous system. Adapting these models to a high-throughput format enables simultaneous screening of multiple agents within a single assay. SH-SY5Y cells have been widely used as a neuronal model, yet commonly in an undifferentiated state that is not representative of mature neurons. Differentiation of the SH-SY5Y cells is a necessary step to obtain cells that express mature neuronal markers. Despite this understanding, the absence of a standardised protocol has limited the use of differentiated SH-SY5Y cells in high-throughput assay formats. Here, we describe a protocol to differentiate and re-plate SH-SY5Y cells within a 96-well plate for high-throughput screening. SH-SY5Y cells seeded at an initial density of 2,500 cells/well in a 96-well plate provide sufficient space for neurites to extend, without impacting cell viability. Room temperature pre-incubation for 1 hour improved the plating homogeneity within the well and the ability to analyse neurites. We then demonstrated the efficacy of this protocol by optimising it further for neurite outgrowth analysis. The presented protocol achieves homogenously distributed differentiated SH-SY5Y cells, useful for researchers using these cells in high-throughput screening assays.


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