Evidence map›Paper›PMID 15786808›Full record

ReviewBioTechniques2005

Quantitative imaging of protein interactions in the cell nucleus.

Ty C Voss, Ignacio A Demarco, Richard N Day

Open access · goldAbstract readReview
In one paragraph

Review in BioTechniques, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
10.0field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 78 citations in OpenAlex.

  1. Functional Analysis ofPlants (Basel, Switzerland) · 2026
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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

3 authors at 1 institution in 1 country.

Ty C VossUniversity of Virginia Health System, Charlottesville, VA 22908-0578, USA.
Ignacio A Demarco
Richard N Day
University of Virginia Health System · US

Funding

SPECIFIC REPRESSION OF PROLACTIN GENE EXPRESSIONR01DK043701 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI DAY, RICHARD N · 1994 to 2012
$3.4M
SMRT-dependent repression of prolactin transcriptionF32DK060315 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI VOSS, TY C · 2001 to 2004
$130k
NIDDK NIH HHS DK47301NIDDK NIH HHS F32 DK060315NIDDK NIH HHS F32 DK60315NIDDK NIH HHS R01 DK043701
6 · The paper itself

Abstract

Over the past decade, genetically encoded fluorescent proteins have become widely used as noninvasive markers in living cells. The development of fluorescent proteins, coupled with advances in digital imaging, has led to the rapid evolution of live-cell imaging methods. These approaches are being applied to address biological questions of the recruitment, co-localization, and interactions of specific proteins within particular subcellular compartments. In the wake of this rapid progress, however, come important issues associated with the acquisition and analysis of ever larger and more complex digital imaging data sets. Using protein localization in the mammalian cell nucleus as an example, we will review some recent developments in the application of quantitative imaging to analyze subcellular distribution and co-localization of proteins in populations of living cells. In this report, we review the principles of acquiring fluorescence resonance energy transfer (FRET) microscopy measurements to define the spatial relationships between proteins. We then discuss how fluorescence lifetime imaging microscopy (FLIM) provides a method that is independent of intensity-based measurements to detect localized protein interactions with spatial resolution. Finally, we consider potential problems associated with the expression of proteins fused to fluorescent proteins for FRET-based measurements from living cells.

Indexed as

AnimalsCell NucleusFluorescence Recovery After PhotobleachingFluorescence Resonance Energy TransferHumansImage Interpretation, Computer-AssistedMicroscopy, FluorescenceNuclear ProteinsProtein Interaction MappingNuclear Proteins

Identifiers

PMID15786808
PMCPMC1237115
OpenAlexW2078804581

What OpenQuestion holds

Textmetadata
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.