Evidence map›Paper›PMID 32846978›Full record

ArticleInternational journal of molecular sciences2020

Stochastic Reaction-Diffusion Model of the Binding of Monoclonal Antibodies to CD4 Receptors on the Surface of T Cells.

Lili Wang, Paul C DeRose, Sarah L Inwood, Adolfas K Gaigalas

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 49% of its field
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.

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.

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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Lili WangNational Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Paul C DeRoseNational Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Sarah L InwoodNational Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Adolfas K GaigalasFluorescence Spectroscopy Consultant, 2650 Lake Shore Drive, Riviera Beach, FL 33404, USA.
National Institute of Standards and Technology · USFluor (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A stochastic reaction-diffusion model was developed to describe the binding of labeled monoclonal antibodies (mAbs) to CD4 receptors on the surface of T cells. The mAbs diffused to, adsorbed on, and underwent monovalent and bivalent binding to CD4 receptors on the cell surface. The model predicted the time-dependent nature of all populations involved in the labeling process. At large time, the populations reached equilibrium values, giving the number of antibodies bound to the T cell (ABC) defined as the sum of monovalently and bivalently bound mAbs. The predicted coefficient of variation (CV%) of the (ABC) values translated directly to a corresponding CV% of the measured mean fluorescence intensity (MFI). The predicted CV% was about 0.2% from the intrinsic fluctuations of the stochastic reaction process, about 5% after inclusion of the known fluctuations in the number of available CD4 receptors, and about 11% when fluctuations in bivalent binding affinity were included. The fluorescence detection process is expected to contribute approximately 7%. The abovementioned contributions to CV% sum up to approximately 13%. Work is underway to reconcile the predicted values and the measured values of 17% to 22%.

Indexed as

Models, TheoreticalAntibodies, MonoclonalAntibody AffinityCD4 AntigensCells, CulturedDiffusionHumansProtein BindingStochastic ProcessesSubstrate SpecificityT-LymphocytesAntibodies, MonoclonalCD4 Antigensantibodies bound per cellbivalentCD4+ T cellsCV%flow cytometerlabeling reactionmonovalentstochastic simulation

Identifiers

PMID32846978
PMCPMC7504294
OpenAlexW3081505662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.