Evidence map›Paper›PMID 37106172›Full record

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

Measuring the Co-Localization and Dynamics of Mobile Proteins in Live Cells Undergoing Signaling Responses.

Sarah A Shelby, Thomas R Shaw, Sarah L Veatch

Abstract read
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
–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

3 citing papers in PubMed.

  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

3 authors.

Sarah A ShelbyProgram in Biophysics, University of Michigan, Ann Arbor, MI, USA.
Thomas R ShawProgram in Applied Physics, University of Michigan, Ann Arbor, MI, USA.
Sarah L VeatchProgram in Biophysics, University of Michigan, Ann Arbor, MI, USA. sveatch@umich.edu.

Funding

Ion channel regulation by heterogeneous membranesR01GM110052 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VEATCH, SARAH L · 2014 to 2022
$2.9M
Ion channel regulation by heterogeneous membranesR01GM129347 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VEATCH, SARAH L · 2019 to 2022
$1.1M
Targeting the CAR Membrane Microenvironment to Enhance the Sensitivity of Receptor TriggeringR21CA226962 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VEATCH, SARAH L · 2018 to 2019
$367k
NCI NIH HHS R21 CA226962NIGMS NIH HHS R01 GM110052NIGMS NIH HHS R01 GM129347
6 · The paper itself

Abstract

Single molecule imaging in live cells enables the study of protein interactions and dynamics as they participate in signaling processes. When combined with fluorophores that stochastically transition between fluorescent and reversible dark states, as in super-resolution localization imaging, labeled molecules can be visualized in single cells over time. This improvement in sampling enables the study of extended cellular responses at the resolution of single molecule localization. This chapter provides optimized experimental and analytical methods used to quantify protein interactions and dynamics within the membranes of adhered live cells. Importantly, the use of pair-correlation functions resolved in both space and time allows researchers to probe interactions between proteins on biologically relevant distance and timescales, even though fluorescence localization methods typically require long times to assemble well-sampled reconstructed images. We describe an application of this approach to measure protein interactions in B cell receptor signaling and include sample analysis code for post-processing of imaging data. These methods are quantitative, sensitive, and broadly applicable to a range of signaling systems.

Indexed as

ProteinsSignal TransductionFluorescent DyesFluorescent DyesProteinsCo-localizationDiffusion analysisFluorescence localization microscopyPair distributionSingle molecule trackingSuper-resolution microscopy

Identifiers

PMID37106172
PMCPMC10758997

What OpenQuestion holds

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Registered trials

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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.