Evidence map›Paper›PMID 37208326›Full record

ArticleNature communications2023

Antibody binding reports spatial heterogeneities in cell membrane organization.

Daniel P Arnold, Yaxin Xu, Sho C Takatori

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Research square · 2024
    Article
  6. CRISPR-Cas9-Based Gene Knockout of Immune Checkpoints in Expanded NK Cells.International journal of molecular sciences · 2023
    Article
  7. Article
  8. Review
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 at 1 institution in 1 country.

Daniel P ArnoldDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.ORCID 0000-0001-5216-0055
Yaxin XuDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA.ORCID 0000-0002-0798-5813
Sho C TakatoriDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, 93106, USA. stakatori@ucsb.edu.ORCID 0000-0002-7839-3399
University of California, Santa Barbara · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial organization of cell membrane glycoproteins and glycolipids is critical for mediating the binding of ligands, receptors, and macromolecules on the plasma membrane. However, we currently do not have the methods to quantify the spatial heterogeneities of macromolecular crowding on live cell surfaces. In this work, we combine experiment and simulation to report crowding heterogeneities on reconstituted membranes and live cell membranes with nanometer spatial resolution. By quantifying the effective binding affinity of IgG monoclonal antibodies to engineered antigen sensors, we discover sharp gradients in crowding within a few nanometers of the crowded membrane surface. Our measurements on human cancer cells support the hypothesis that raft-like membrane domains exclude bulky membrane proteins and glycoproteins. Our facile and high-throughput method to quantify spatial crowding heterogeneities on live cell membranes may facilitate monoclonal antibody design and provide a mechanistic understanding of plasma membrane biophysical organization.

Indexed as

Membrane ProteinsPhagocytosisAntibodies, MonoclonalCell MembraneGlycoproteinsHumansMacromolecular SubstancesAntibodies, MonoclonalGlycoproteinsMacromolecular SubstancesMembrane Proteins

Identifiers

PMID37208326
PMCPMC10199101
OpenAlexW4377142724

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.