ArticleBiointerphases2020
Characterizing protein G B1 orientation and its effect on immunoglobulin G antibody binding using XPS, ToF-SIMS, and quartz crystal microbalance with dissipation monitoring.
Article in Biointerphases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Who cites it
7 citing papers in PubMed, 21 citations in OpenAlex.
- Novel Bioconjugate Materials: Synthesis, Characterization and Medical Applications.Advanced healthcare materials · 2025Review
- Ultrasensitive Alzheimer's disease biomarker detection with nanopillar photonic crystal biosensors.Optica · 2025Article
- Article
- Quantitative evaluation of perfluorinated alkanethiol molecular order on gold surfaces.Biointerphases · 2023Article
- Developments and Ongoing Challenges for Analysis of Surface-Bound Proteins.Annual review of analytical chemistry (Palo Alto, Calif.) · 2021Article
- Using a lactadherin-immobilized silicon surface for capturing and monitoring plasma microvesicles as a foundation for diagnostic device development.Analytical and bioanalytical chemistry · 2020Article
- Surface analysis tools for characterizing biological materials.Chemical Society reviews · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Controlling how proteins are immobilized (e.g., controlling their orientation and conformation) is essential for developing and optimizing the performance of in vitro protein-binding devices, such as enzyme-linked immunosorbent assays. Characterizing the identity, orientation, etc., of proteins in complex mixtures of immobilized proteins requires a multitechnique approach. The focus of this work was to control and characterize the orientation of protein G B1, an immunoglobulin G (IgG) antibody-binding domain of protein G, on well-defined surfaces and to measure the effect of protein G B1 orientation on IgG antibody binding. The surface sensitivity of time-of-flight secondary ion mass spectrometry (ToF-SIMS) was used to distinguish between different proteins and their orientation on both flat and nanoparticle gold surfaces by monitoring intensity changes of characteristic amino acid mass fragments. Amino acids distributed asymmetrically were used to calculate peak intensity ratios from ToF-SIMS data to determine the orientation of protein G B1 cysteine mutants covalently attached to a maleimide surface. To study the effect of protein orientation on antibody binding, multilayer protein films on flat gold surfaces were formed by binding IgG to the immobilized protein G B1 films. Quartz crystal microbalance with dissipation monitoring and x-ray photoelectron spectroscopy analysis revealed that coverage and orientation affected the antibody-binding process. At high protein G B1 coverage, the cysteine mutant immobilized in an end-on orientation with the C-terminus exposed bound 443 ng/cm
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.