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The Role Of Senescent Cells Removal For Cell Culture Rejuvenation

Prokhorov, L. Y.

2021-02-16 cell biology
10.1101/2021.02.14.431016 bioRxiv
Show abstract

It is well known that aging reduces the number of healthy, vital cells, increases the number of dead cells, some of which are replaced by connective tissue. Similar processes occur in cell culture. If endlessly dividing transformed, or cancer cells grow in glass flasks and after their death for various reasons detach from the growth surface, lyzed and thus free up space for the growth of "young" cells, the culture lives arbitrarily long. But if in culture the "senescent" cells do not detach from the growth surface and do not make room for "young" cells, the "young" cells do not have the ability to devide and die. Because of this, the entire population of cells dies. Also in the body, "senescent" cells and intercellular tissues occupy a certain place in the body and do not allow "young", "healthy" cells to divide.

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The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
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Top 8%
19.3%
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10.1%
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Top 0.7%
3.7%
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Top 0.3%
3.4%
50% of probability mass above
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○ 84 papers in training set
Top 0.3%
3.4%
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Life
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Top 0.1%
3.4%
10
Heliyon
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Top 2%
2.9%
11
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Top 0.5%
2.5%
12
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● 11 papers in training set
Top 0.1%
2.2%
13
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Top 0.2%
2.0%
14
npj Aging
○ 22 papers in training set
Top 0.2%
1.8%
15
Advanced Biology
○ 29 papers in training set
Top 0.3%
1.6%
16
BioMed Research International
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Top 1%
1.4%
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◐ 61 papers in training set
Top 1%
1.2%
18
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○ 165 papers in training set
Top 2%
1.1%
19
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Top 3%
1.1%
20
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○ 106 papers in training set
Top 2%
1.0%
21
F1000Research
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Top 3%
1.0%
22
Biology
○ 45 papers in training set
Top 0.6%
1.0%
23
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○ 120 papers in training set
Top 4%
0.9%
24
Applied Sciences
○ 25 papers in training set
Top 0.7%
0.9%
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○ 11 papers in training set
Top 0.2%
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Biomolecules
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Top 3%
0.9%
27
Life Sciences
○ 27 papers in training set
Top 1%
0.6%
28
Biosystems
○ 31 papers in training set
Top 0.6%
0.6%
29
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"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.