Back

Development and Characterization of an Artificial Bionic Immune Cell System based on a Synthetic Receptor Repertoire

Fu, W.; Wang, C.; Ling, Y.; Ding, M.; Lei, C.; Hu, S.

2020-01-14 bioengineering
10.1101/868653 bioRxiv
Show abstract

The immune surveillance hypothesis is regarded as the intellectual underpinning of cancer immunology. We find that engineered T cell library displaying CAR constructs, where the antibody repertoires took the place of the antigen-recognition region, has the capacity to recognize nonself-antigens and showed antigen dependent clonal expanding and persistence. This process coupled with long-lasting anti-tumour effect in a broad spectrum of epithelial tumours. Moreover, CAR-T library showed robust immunologic memory and maintenance of diversity to recognize mutated or evolved tumours in both immunodeficiency and immunoresponsive murine tumor models. Large CAR library was further developed in logic-gated NK-92 cells to develop an off-the shelf therapeutic library. Thus, the biological behaviour of synthetic cell library is highly accordance with the immune surveillance function, which proved the way to rebuilt functional MHC unrestricted cellular immunity in vitro using synthetic method.

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
Scientific Reports
○ 3612 papers in training set
Top 4%
9.9%
Similar papers in this journal
2
Molecular Therapy
○ 81 papers in training set
Top 0.1%
9.8%
Similar papers in this journal
3
iScience
○ 1154 papers in training set
Top 2%
5.6%
Similar papers in this journal
4
Signal Transduction and Targeted Therapy
○ 30 papers in training set
Top 0.1%
5.6%
Similar papers in this journal
5
Nature Communications
○ 5641 papers in training set
Top 34%
3.3%
Similar papers in this journal
6
Cellular and Molecular Bioengineering
○ 22 papers in training set
Top 0.1%
2.7%
7
eLife
● 5828 papers in training set
Top 42%
2.4%
8
Molecular Therapy Nucleic Acids
○ 39 papers in training set
Top 0.4%
2.2%
9
Bioengineering & Translational Medicine
○ 21 papers in training set
Top 0.2%
2.2%
10
Frontiers in Oncology
○ 103 papers in training set
Top 2%
2.2%
11
Biotechnology and Bioengineering
○ 53 papers in training set
Top 0.4%
2.0%
12
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 25%
1.9%
13
PLOS ONE
● 5266 papers in training set
Top 45%
1.8%
50% of probability mass above
14
Molecular Pharmaceutics
● 16 papers in training set
Top 0.2%
1.8%
15
Science Advances
● 1243 papers in training set
Top 19%
1.8%
16
Cancer Letters
○ 35 papers in training set
Top 0.5%
1.8%
17
Cell Chemical Biology
○ 94 papers in training set
Top 0.9%
1.5%
18
Frontiers in Pharmacology
○ 111 papers in training set
Top 2%
1.5%
19
Antibody Therapeutics
◐ 16 papers in training set
Top 0.2%
1.4%
20
Theranostics
● 37 papers in training set
Top 0.7%
1.1%
21
Journal for ImmunoTherapy of Cancer
● 75 papers in training set
Top 1%
1.1%
22
ACS Chemical Biology
● 167 papers in training set
Top 2%
1.1%
23
Heliyon
○ 152 papers in training set
Top 5%
1.1%
24
Communications Biology
○ 993 papers in training set
Top 20%
1.1%
25
International Journal of Molecular Sciences
○ 494 papers in training set
Top 11%
1.1%
26
Cell Discovery
○ 57 papers in training set
Top 0.8%
1.1%
27
Bioconjugate Chemistry
● 20 papers in training set
Top 0.3%
1.1%
28
Pharmaceuticals
○ 34 papers in training set
Top 0.8%
1.1%
29
Nature Biomedical Engineering
○ 47 papers in training set
Top 1%
1.1%
30
Molecular Therapy - Nucleic Acids
○ 25 papers in training set
Top 0.6%
1.0%

"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.