Evidence map›Paper›PMID 22588725›Full record

ArticleThe protein journal2012

Exploring the energy profile of human IgG/rat anti-human IgG interactions by dynamic force spectroscopy.

Zhengjian Lv, Jianhua Wang, Guoping Chen

Abstract read
PubMed Publisher
In one paragraph

Article in The protein journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed.

  1. Article
  2. Probing Changes in CaMicromachines · 2020
    Article
  3. Article
  4. Article
  5. 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

3 authors.

Zhengjian LvKey Laboratory of Biorheological Science and Technology, Ministry of Education, and Institute of Biochemistry and Biophysics, College of Bioengineering, Chongqing University, Chongqing, 400044, China.
Jianhua Wang
Guoping Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between antibody and antigen molecules play essential roles in biological recognition processes as well as medical diagnosis. Therefore, an understanding of the underlying mechanism of antibody-antigen interactions at the single molecular level would be beneficial. In the present study, human immunoglobulin (IgG) tethered cantilevers and rat anti-human IgG functionalized gold surfaces were fabricated by using self-assembled monolayers method. Dynamic force spectroscopy was employed to characterize the interactions between human (IgG) and rat anti-human IgG at the single-molecule level. The unbinding forces were determined to be 44.6 ± 0.8, 65.8 ± 3.0, 108.1 ± 4.1, 131.1 ± 11.2, 149.5 ± 4.7, 239.5 ± 3.1 and 294.7 ± 7.7 pN with ramping loading rates of 514, 1,127, 3,058, 7,215, 15,286, 31,974 and 50,468 pN s(-1), respectively. In addition, the unbinding forces were found to be increasing with the logarithm of apparent loading rates in a linear way. Fitting data group resulted in two distinct linear parts, suggesting there are two energy barriers. The corresponding distances in the bound and transition states (x ( β )) and the dissociation rates (K ( off )) were calculated to be 0.129 ± 0.006 nm, 3.986 ± 0.162 s(-1) for the outer barrier and 0.034 ± 0.001 nm, 36.754 ± 0.084 s(-1) for the inner barrier. Such findings hold promise of screening novel drugs and discerning different unbinding modes of biological molecules.

Indexed as

ThermodynamicsAnimalsAntibodies, Anti-IdiotypicAntibodies, ImmobilizedAntigen-Antibody ReactionsHumansImmunoglobulin GMicroscopy, Atomic ForceProtein Interaction MappingRatsAntibodies, Anti-IdiotypicAntibodies, Immobilizedanti-IgGImmunoglobulin G

Identifiers

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.