Evidence map›Paper›PMID 25010411›Full record

ArticleBioconjugate chemistry2014

Solid-phase bioconjugation of heterobifunctional adaptors for versatile assembly of bispecific targeting ligands.

Hong Yan Liu, Pavel Zrazhevskiy, Xiaohu Gao

Abstract read
In one paragraph

Article in Bioconjugate chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hong Yan LiuDepartment of Bioengineering, University of Washington , Seattle, Washington 98195, United States.
Pavel Zrazhevskiy
Xiaohu Gao

Funding

Nanotechnology and Physical Science Training Program in Cancer ResearchT32CA138312 · NCI · UNIVERSITY OF WASHINGTON · PI ZHANG, MIQIN · 2009 to 2013
$1.5M
Targeted and traceable delivery of siRNA with nanoparticle-amphipolR01CA140295 · NCI · UNIVERSITY OF WASHINGTON · PI GAO, XIAOHU · 2009 to 2010
$647k
Quantitative molecular profiling of tumor biomarkers with multi-color monovalentF32CA150301 · NCI · UNIVERSITY OF WASHINGTON · PI LIU, HONG YAN · 2010 to 2012
$183k
NCI NIH HHS F32 CA150301NCI NIH HHS R01 CA140295NCI NIH HHS R01CA140295NCI NIH HHS T32 CA138312NCI NIH HHS T32CA138312
6 · The paper itself

Abstract

High-throughput generation of bispecific molecules promises to expedite the discovery of new molecular therapeutics and guide engineering of novel multifunctional constructs. However, high synthesis complexity and cost have hampered the discovery of bispecific molecules in drug development and biomedical research. Herein we describe a simple solid-phase bioconjugation procedure for preparation of Protein A(G,L)-PEG-Streptavidin heterobifunctional adaptors (with 1:1:1 stoichiometry), which enable self-assembly of unmodified antibodies and biotinylated molecules into bispecific targeting ligands in a versatile mix-and-use manner. Utility of such adaptors is demonstrated by assembly of anti-CD3 and anti-Her2 antibodies into bispecific CD3xHer2 targeting ligands, which efficiently drive T-cell-mediated lysis of Her2-positive cancer cells. In comparison to bioconjugation in solution, the solid-phase procedure described here offers precise stoichiometry control, ease of purification, and high yield of functional conjugates. Simplicity and versatility should prove this methodology instrumental for preparation of bispecific ligands, as well as for high-throughput screening of bispecific combinations, before proceeding to synthesis of lead candidates via recombinant engineering or chemical cross-linking.

Indexed as

Antibodies, BispecificBiotinylationCell Line, TumorHumansLigandsModels, MolecularPolyethylene GlycolsProtein ConformationStaphylococcal Protein AStreptavidinAntibodies, BispecificLigandsPolyethylene GlycolsStaphylococcal Protein AStreptavidin

Identifiers

PMID25010411
PMCPMC4140535

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.