Back

Investigation of Axonal Beading Induced by Photo-oxidation

MEHTA, D.; Pullarkat, P. A.

2025-02-08 neuroscience
10.1101/2025.02.07.637201 bioRxiv
Show abstract

Oxidative stress caused by the presence of excessive free radicals (reactive oxygen species) is known for its adverse effects in cellular function. When initiated by fluorescent dye excitation, it can lead to photo-oxidative stress, causing cellular damage. In this study, we investigate axonal beading induced by the photo-oxidation of a membrane based fluorescent dye. Our findings show that apart from the use of oxygen scavengers, chelation of free calcium and stabilizing microtubules or actin filaments by pharmacological agents can mitigate oxidative stress induced axonal beading. Furthermore, we take advantage of this light induced oxidative stress phenomenon to probe axonal response to spatially confined perturbations of varying strength. We demonstrate that low excitation levels lead to long-lived localized beading, whereas higher levels of excitation result in global degeneration and beading of axons. Besides the results presented here, this light based technique is a convenient tool to investigate the effect of local oxidative stress at the tissue level, for example, in cultures of brain slices or organoids.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Scientific Reports
○ 3612 papers in training set
Top 2%
13.3%
Similar papers in this journal
2
Cells
○ 249 papers in training set
Top 0.1%
8.0%
Similar papers in this journal
3
Frontiers in Cellular Neuroscience
○ 91 papers in training set
Top 0.1%
6.3%
Similar papers in this journal
4
iScience
○ 1154 papers in training set
Top 4%
4.1%
Similar papers in this journal
5
PLOS ONE
● 5266 papers in training set
Top 32%
4.1%
Similar papers in this journal
6
Frontiers in Molecular Neuroscience
○ 47 papers in training set
Top 0.2%
3.3%
7
Advanced Biology
○ 29 papers in training set
Top 0.1%
3.2%
8
International Journal of Molecular Sciences
○ 494 papers in training set
Top 5%
2.7%
9
Communications Biology
○ 993 papers in training set
Top 7%
2.7%
10
Molecular Neurobiology
○ 53 papers in training set
Top 0.4%
2.4%
50% of probability mass above
11
Frontiers in Neural Circuits
○ 43 papers in training set
Top 0.2%
2.1%
12
eLife
● 5828 papers in training set
Top 45%
2.1%
13
eneuro
● 439 papers in training set
Top 4%
1.7%
14
Biophysical Journal
○ 631 papers in training set
Top 3%
1.7%
15
Journal of Cell Science
● 393 papers in training set
Top 3%
1.5%
16
Redox Biology
○ 70 papers in training set
Top 0.8%
1.5%
17
Biomolecules
○ 100 papers in training set
Top 1%
1.5%
18
ASN Neuro
○ 10 papers in training set
Top 0.1%
1.5%
19
Neurophotonics
● 42 papers in training set
Top 0.4%
1.4%
20
Current Biology
○ 665 papers in training set
Top 8%
1.1%
21
Frontiers in Synaptic Neuroscience
○ 17 papers in training set
Top 0.1%
1.1%
22
Molecular and Cellular Neuroscience
○ 20 papers in training set
Top 0.3%
1.0%
23
Nature Communications
○ 5641 papers in training set
Top 53%
1.0%
24
Glia
○ 81 papers in training set
Top 1%
1.0%
25
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 38%
1.0%
26
Biomedical Optics Express
● 95 papers in training set
Top 0.8%
1.0%
27
BMC Biology
○ 265 papers in training set
Top 5%
0.9%
28
Neuroscience
○ 97 papers in training set
Top 2%
0.9%
29
BMC Neuroscience
○ 11 papers in training set
Top 0.1%
0.9%
30
The Journal of Neuroscience
● 1025 papers in training set
Top 10%
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.