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Nanobodies and Nanobody-Based Human Heavy Chain Antibodies As Antitumor Therapeutics

Overview of attention for article published in Frontiers in immunology, November 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Title
Nanobodies and Nanobody-Based Human Heavy Chain Antibodies As Antitumor Therapeutics
Published in
Frontiers in immunology, November 2017
DOI 10.3389/fimmu.2017.01603
Pubmed ID
Authors

Peter Bannas, Julia Hambach, Friedrich Koch-Nolte

Abstract

Monoclonal antibodies have revolutionized cancer therapy. However, delivery to tumor cells in vivo is hampered by the large size (150 kDa) of conventional antibodies. The minimal target recognition module of a conventional antibody is composed of two non-covalently associated variable domains (VH and VL). The proper orientation of these domains is mediated by their hydrophobic interface and is stabilized by their linkage to disulfide-linked constant domains (CH1 and CL). VH and VL domains can be fused via a genetic linker into a single-chain variable fragment (scFv). scFv modules in turn can be fused to one another, e.g., to generate a bispecific T-cell engager, or they can be fused in various orientations to antibody hinge and Fc domains to generate bi- and multispecific antibodies. However, the inherent hydrophobic interaction of VH and VL domains limits the stability and solubility of engineered antibodies, often causing aggregation and/or mispairing of V-domains. Nanobodies (15 kDa) and nanobody-based human heavy chain antibodies (75 kDa) can overcome these limitations. Camelids naturally produce antibodies composed only of heavy chains in which the target recognition module is composed of a single variable domain (VHH or Nb). Advantageous features of nanobodies include their small size, high solubility, high stability, and excellent tissue penetration in vivo. Nanobodies can readily be linked genetically to Fc-domains, other nanobodies, peptide tags, or toxins and can be conjugated chemically at a specific site to drugs, radionuclides, photosensitizers, and nanoparticles. These properties make them particularly suited for specific and efficient targeting of tumors in vivo. Chimeric nanobody-heavy chain antibodies combine advantageous features of nanobodies and human Fc domains in about half the size of a conventional antibody. In this review, we discuss recent developments and perspectives for applications of nanobodies and nanobody-based human heavy chain antibodies as antitumor therapeutics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 946 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 946 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 143 15%
Student > Bachelor 123 13%
Researcher 120 13%
Student > Master 108 11%
Other 39 4%
Other 94 10%
Unknown 319 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 265 28%
Agricultural and Biological Sciences 72 8%
Immunology and Microbiology 57 6%
Pharmacology, Toxicology and Pharmaceutical Science 56 6%
Medicine and Dentistry 43 5%
Other 111 12%
Unknown 342 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2024.
All research outputs
#718,659
of 25,382,440 outputs
Outputs from Frontiers in immunology
#622
of 31,537 outputs
Outputs of similar age
#16,198
of 445,683 outputs
Outputs of similar age from Frontiers in immunology
#10
of 581 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 445,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.