Evidence map›Paper›PMID 35759338›Full record

ArticleAnalytical chemistry2022

Recombination between

Dashiel S Grusky, Frank R Moss, Steven G Boxer

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2022. 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
0.5field-weighted citation impact, top 39% 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, 6 citations in OpenAlex.

  1. Chaotropic Agent-Assisted Supported Lipid Bilayer Formation.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  2. Article
  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

3 authors at 2 institutions in 1 country.

Dashiel S GruskyDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.ORCID 0000-0002-0145-398X
Frank R MossLinac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025, United States.ORCID 0000-0002-6149-6447
Steven G BoxerDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.ORCID 0000-0001-9167-4286
Stanford University · USSLAC National Accelerator Laboratory · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
Biophysical Studies of Macromolecules and Molecular AssembliesR35GM118044 · NIGMS · STANFORD UNIVERSITY · PI STEVEN G. BOXER · 2016 to 2026
$7.2M
NCI NIH HHS P30 CA124435NIGMS NIH HHS R35 GM118044
6 · The paper itself

Abstract

Although it is thought that there is lateral heterogeneity of lipid and protein components within biological membranes, probing this heterogeneity has proven challenging. The difficulty in such experiments is due to both the small length scale over which such heterogeneity can occur, and the significant perturbation resulting from fluorescent or spin labeling on the delicate interactions within bilayers. Atomic recombination during dynamic nanoscale secondary ion imaging mass spectrometry (NanoSIMS) is a non-perturbative method for examining nanoscale bilayer interactions. Atomic recombination is a variation on conventional NanoSIMS imaging, whereby an isotope on one molecule combines with a different isotope on another molecule during the ionization process, forming an isotopically enriched polyatomic ion in a distance-dependent manner. We show that the recombinant ion,

Indexed as

Lipid BilayersSpectrometry, Mass, Secondary IonCholesterolCluster AnalysisRecombination, GeneticCholesterolLipid Bilayers

Identifiers

PMID35759338
PMCPMC10075087
OpenAlexW4283639844

What OpenQuestion holds

Textmetadata
LicenceTDM
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.