Evidence map›Paper›PMID 19065792›Full record

ReviewAdvances in experimental medicine and biology2008

Visualization of protein interactions in living cells.

Tomasz Zal

Abstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. bioRxiv : the preprint server for biology · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. 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

1 author.

Tomasz ZalDepartment of Immunology, University of Texas, MD Anderson Cancer Center, Unit 902, 7455 Fannin, Houston TX, USA. tzal@mdanderson.org

Funding

Immune cell interactions during tumor establishment.R01CA137059 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZAL, TOMASZ · 2009 to 2013
$1.6M
Subcellular regulation of gamma delta TCR in DETCsK22AI065688 · NIAID · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZAL, TOMASZ · 2006 to 2007
$266k
NCI NIH HHS R01 CA137059NIAID NIH HHS K22 AI065688
6 · The paper itself

Abstract

Ligand binding to cell membrane receptors sets off a series of protein interactions that convey the nuances ofligand identity to the cell interior. The information may be encoded in conformational changes, the interaction kinetics and, in the case of multichain immunoreceptors, by chain rearrangements. The signals may be modulated by dynamic compartmentalization of the cell membrane, cellular architecture, motility, and activation--all of which are difficult to reconstitute for studies of receptor signaling in vitro. In this chapter, we will discuss how protein interactions in general and receptor signaling in particular can be studied in living cells by different fluorescence imaging techniques. Particularly versatile are methods that exploit Förster resonance energy transfer (FRET), which is exquisitely sensitive to the nanometer-range proximity and orientation between fluorophores. Fluorescence correlation microscopy (FCM) can provide complementary information about the stoichiometry and diffusion kinetics of large complexes, while bimolecular fluorescence complementation (BiFC) and other complementation techniques can capture transient interactions. A continuing challenge is extracting from the imaging data the quantitative information that is necessary to verify different models of signal transduction.

Indexed as

AnimalsCell SurvivalFluorescence Resonance Energy TransferHumansImmunological SynapsesLuminescent MeasurementsProtein BindingReceptors, Antigen, T-CellReceptors, Antigen, T-Cell

Identifiers

PMID19065792
PMCPMC5788009

What OpenQuestion holds

Textmetadata
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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.