Back

Thiol-mediated Uptake of a Cysteine-containing Nanobody for Anti-Cancer Drug Delivery

Goerdeler, F.; Reuber, E. E.; Luehle, J.; Leichnitz, S.; Freitag, A.; Nedielkov, R.; Moeller, H. M.; Seeberger, P. H.; Moscovitz, O.

2022-07-14 cancer biology
10.1101/2022.07.12.497993 bioRxiv
Show abstract

The identification of tumor-specific biomarkers is one of the bottlenecks in the development of cancer therapies. Previous work revealed altered surface levels of reduced/oxidized cysteines in many cancers due to overexpression of redox-controlling proteins such as protein disulfide isomerases on the cell surface. Alterations in surface thiols can promote cell adhesion and metastasis, making thiols attractive targets for treatment. Only a few tools are available to study surface thiols on cancer cells and exploit them for theranostics. Here, we describe a nanobody (CB2) that recognizes B cell lymphoma in a thiol-dependent manner. CB2 binding strictly requires the presence of a non-conserved cysteine in the antigen-binding region and correlates with elevated surface levels of free thiols on B cell lymphoma compared to healthy lymphocytes. Nanobody CB2 can induce complement-dependent cytotoxicity against lymphoma cells when functionalized with synthetic rhamnose trimers. Lymphoma cells internalize CB2 in a thiol-mediated manner such that the nanobody can be used to deliver cytotoxic agents. Hence, surface thiols can be used as lymphoma biomarkers and targeted by thiol-binding nanobodies. Functionalization of internalizable CB2 is the basis for a range of diagnostic and therapeutic applications of this thiol-binding nanobody. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=69 SRC="FIGDIR/small/497993v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1f47ba9org.highwire.dtl.DTLVardef@1e2bd41org.highwire.dtl.DTLVardef@f7151eorg.highwire.dtl.DTLVardef@18b7681_HPS_FORMAT_FIGEXP M_FIG C_FIG SynopsisNanobody CB2 specifically binds and internalizes into B cell lymphoma via thiol-based interactions. Functionalized CB2 can be used for complement recruitment or drug delivery to lymphoma cells.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
ACS Nano
99 papers in training set
Top 0.1%
12.5%
2
Journal of the American Chemical Society
199 papers in training set
Top 0.8%
7.2%
3
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.1%
6.8%
4
Bioconjugate Chemistry
17 papers in training set
Top 0.1%
6.8%
5
Angewandte Chemie International Edition
81 papers in training set
Top 0.4%
6.8%
6
ACS Chemical Biology
150 papers in training set
Top 0.4%
3.7%
7
Antibody Therapeutics
16 papers in training set
Top 0.1%
3.6%
8
ChemBioChem
50 papers in training set
Top 0.3%
2.9%
50% of probability mass above
9
Nature Communications
4913 papers in training set
Top 43%
2.7%
10
Nanoscale
39 papers in training set
Top 0.1%
2.6%
11
Angewandte Chemie
12 papers in training set
Top 0.1%
1.9%
12
Chemical Science
71 papers in training set
Top 0.9%
1.7%
13
Advanced Materials
53 papers in training set
Top 1%
1.7%
14
Advanced Functional Materials
41 papers in training set
Top 1%
1.5%
15
ACS Central Science
66 papers in training set
Top 1%
1.5%
16
Cell Reports Methods
141 papers in training set
Top 3%
1.3%
17
eLife
5422 papers in training set
Top 49%
1.2%
18
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 39%
1.1%
19
Nanoscale Advances
13 papers in training set
Top 0.4%
0.9%
20
Journal of Controlled Release
39 papers in training set
Top 0.9%
0.8%
21
Journal of Medicinal Chemistry
68 papers in training set
Top 1%
0.8%
22
RSC Chemical Biology
32 papers in training set
Top 0.5%
0.7%
23
Nature Chemical Biology
104 papers in training set
Top 3%
0.7%
24
Nano Letters
63 papers in training set
Top 3%
0.7%
25
Nature Biotechnology
147 papers in training set
Top 8%
0.7%
26
Journal of Colloid and Interface Science
12 papers in training set
Top 0.5%
0.7%
27
iScience
1063 papers in training set
Top 34%
0.7%
28
Cancer Research Communications
46 papers in training set
Top 1%
0.7%
29
Cancers
200 papers in training set
Top 5%
0.7%
30
ACS Synthetic Biology
256 papers in training set
Top 3%
0.7%