Evidence map›Paper›PMID 37093485›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Protein Interaction Analysis by Surface Plasmon Resonance.

Dennis G Drescher, Marian J Drescher

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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
3.4field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Dennis G DrescherDepartments of Otolaryngology and Biochemistry-Molecular Biology, Wayne State University School of Medicine, Detroit, MI, USA. ddresche@med.wayne.edu.
Marian J DrescherDepartments of Otolaryngology and Biochemistry-Molecular Biology, Wayne State University School of Medicine, Detroit, MI, USA.
Wayne State University · US

Funding

IDENTIFICATION OF ACOUSTICO-LATERALIS TRANSMITTERSR01DC000156 · NIDCD · WAYNE STATE UNIVERSITY · PI DRESCHER, DENNIS G · 1989 to 2013
$3.9M
ADENYLYL CYCLASE SIGNALING IN EAR SENSORY EPITHELIAR01DC004076 · NIDCD · WAYNE STATE UNIVERSITY · PI DRESCHER, MARIAN JEAN · 1999 to 2009
$1.8M
NIDCD NIH HHS R01 DC000156NIDCD NIH HHS R01 DC004076
6 · The paper itself

Abstract

Surface plasmon resonance (SPR) is an optical technique that is utilized for detecting molecular interactions that occur in direct protein-protein interactions. Binding of a mobile molecule (analyte) to a molecule immobilized on a thin metal film (ligand) changes the refractive index of the film. The angle of extinction of light that is completely reflected, after polarized light impinges upon the surface, is altered and monitored as a change in detector position for a dip in reflected intensity (the surface plasmon resonance phenomenon). Because the method strictly detects mass, there is no need to label the interacting components, thus eliminating possible changes of their molecular properties. One of the advantages in SPR is its high sensitivity, compatible with the need for purification of small amounts of protein for analysis. This chapter concentrates on practical methodologies for performing surface plasmon resonance analysis.

Indexed as

ProteinsSurface Plasmon ResonanceData Interpretation, StatisticalLigandsProtein BindingLigandsProteinsBiacore 3000CM5 sensor chipFusion proteinGel electrophoresisInteraction kineticsMolecular cloningProtein-protein interactionSurface plasmon resonance (SPR)Western blotting

Identifiers

PMID37093485
OpenAlexW4366822384

What OpenQuestion holds

Textmetadata
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.