Back

Development and optimization of a high-throughput 3D rat Purkinje neuron culture

Uggerud, I. M.; Krakenes, T.; Hirai, H.; Vedeler, C. A.; Schubert, M.

2020-05-22 neuroscience
10.1101/2020.05.20.105858 bioRxiv
Show abstract

Improved understanding of the mechanisms involved in neurodegenerative disease has been hampered by the lack of robust cellular models that faithfully replicate in vivo features. Here, we present a refined protocol for generating age-dependent, well-developed and synaptically active rat Purkinje neurons, responsive to paracrine factors and supporting a 3D cell network. Our model provides high experimental flexibility, high-throughput screening capabilities and reliability to elucidate Purkinje neuron function, communication and neurodegenerative mechanisms.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Scientific Reports
○ 3612 papers in training set
Top 8%
7.4%
Similar papers in this journal
2
Cells
○ 249 papers in training set
Top 0.2%
5.6%
Similar papers in this journal
3
Journal of Neuroscience Methods
○ 122 papers in training set
Top 0.3%
5.6%
Similar papers in this journal
4
eLife
● 5828 papers in training set
Top 27%
4.5%
Similar papers in this journal
5
npj Parkinson's Disease
○ 105 papers in training set
Top 0.5%
4.1%
6
Open Biology
● 106 papers in training set
Top 0.1%
4.1%
7
Frontiers in Molecular Neuroscience
○ 47 papers in training set
Top 0.1%
4.1%
Similar papers in this journal
8
Frontiers in Cellular Neuroscience
○ 91 papers in training set
Top 0.4%
3.6%
9
eneuro
● 439 papers in training set
Top 2%
3.5%
10
PLOS ONE
● 5266 papers in training set
Top 35%
3.3%
11
Frontiers in Neuroscience
○ 256 papers in training set
Top 2%
2.7%
12
Molecular Psychiatry
○ 282 papers in training set
Top 3%
2.4%
50% of probability mass above
13
Journal of Neurochemistry
○ 53 papers in training set
Top 0.3%
2.4%
14
ACS Chemical Neuroscience
● 67 papers in training set
Top 0.5%
2.1%
15
iScience
○ 1154 papers in training set
Top 17%
1.8%
16
Glia
○ 81 papers in training set
Top 0.8%
1.8%
17
Cell Death & Disease
147 papers in training set
Top 2%
1.8%
18
Journal of Visualized Experiments
● 34 papers in training set
Top 0.3%
1.7%
19
Experimental Neurology
○ 61 papers in training set
Top 0.8%
1.5%
20
Journal of Comparative Neurology
○ 73 papers in training set
Top 0.4%
1.1%
21
Stem Cell Reports
○ 130 papers in training set
Top 1%
1.1%
22
Molecular Neurobiology
○ 53 papers in training set
Top 0.9%
1.1%
23
The FASEB Journal
○ 194 papers in training set
Top 4%
1.1%
24
Frontiers in Aging Neuroscience
○ 74 papers in training set
Top 1%
1.1%
25
Cell Reports
○ 1498 papers in training set
Top 24%
1.1%
26
Communications Biology
○ 993 papers in training set
Top 27%
0.9%
27
International Journal of Molecular Sciences
○ 494 papers in training set
Top 14%
0.9%
28
Biomolecules
○ 100 papers in training set
Top 2%
0.9%
29
Alzheimer's & Dementia
177 papers in training set
Top 2%
0.9%
30
Translational Psychiatry
○ 260 papers in training set
Top 4%
0.9%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.