Evidence map›Paper›PMID 22004174›Full record

ReviewACS chemical biology2012

Nanoscale membrane organization: where biochemistry meets advanced microscopy.

Alessandra Cambi, Diane S Lidke

Open access · greenAbstract readReview
In one paragraph

Review in ACS chemical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 46 citations in OpenAlex.

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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 2 institutions in 2 countries.

Alessandra CambiDepartment of Tumor Immunology, Nijmegen Centre for Molecular Life Sciences, Radboud University Nijmegen Medical Centre, The Netherlands. a.cambi@ncmls.ru.nl
Diane S Lidke
New Mexico Cancer Center · USRadboud University Medical Center · NL

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI WANDINGER-NESS, ANGELA · 2009 to 2018
$26.1M
TOPOGRAPHICAL MODELING OF FCRI /FPR SIGNALING PATHWAYSP20GM067594 · NIGMS · UNIVERSITY OF NEW MEXICO · PI OLIVER, JANET M · 2002 to 2007
$1.6M
NIGMS NIH HHS P20 GM067594NIGMS NIH HHS P50 GM085273NIGMS NIH HHS P50GM085273
6 · The paper itself

Abstract

Understanding the molecular mechanisms that shape an effective cellular response is a fundamental question in biology. Biochemical measurements have revealed critical information about the order of protein-protein interactions along signaling cascades but lack the resolution to determine kinetics and localization of interactions on the plasma membrane. Furthermore, the local membrane environment influences membrane receptor distributions and dynamics, which in turn influences signal transduction. To measure dynamic protein interactions and elucidate the consequences of membrane architecture interplay, direct measurements at high spatiotemporal resolution are needed. In this review, we discuss the biochemical principles regulating membrane nanodomain formation and protein function, ranging from the lipid nanoenvironment to the cortical cytoskeleton. We also discuss recent advances in fluorescence microscopy that are making it possible to quantify protein organization and biochemical events at the nanoscale in the living cell membrane.

Indexed as

Protein Processing, Post-TranslationalAcetylationCytoskeletonFluorescence Resonance Energy TransferFluorescent DyesHumansMembrane LipidsMembrane MicrodomainsMicroscopy, FluorescenceMolecular ImagingNanotechnologyPolysaccharidesReceptors, Cell SurfaceSignal TransductionFluorescent DyesMembrane LipidsPolysaccharidesReceptors, Cell Surface

Identifiers

PMID22004174
PMCPMC3262946
OpenAlexW2123163681

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.