Evidence map›Paper›PMID 14989088›Full record

ArticleBioTechniques2004

Computer-assisted image analysis protocol that quantitatively measures subnuclear protein organization in cell populations.

Ty C Voss, Ignacio A Demarco, Cynthia F Booker, Richard N Day

Open access · goldAbstract readValidation Study
In one paragraph

Article in BioTechniques, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Automated local bright feature image analysis of nuclear protein distribution identifies changes in tissue phenotype.Proceedings of the National Academy of Sciences of the United States of America · 2006
    Article
  3. Article
  4. Review
  5. 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

4 authors at 1 institution in 1 country.

Ty C VossUniversity of Virginia Health Sciences Center, Charlottesville, VA, USA.
Ignacio A Demarco
Cynthia F Booker
Richard N Day
University of Virginia · 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 DK43701NIDDK NIH HHS F32 DK060315NIDDK NIH HHS F32DK60315-01NIDDK NIH HHS R01 DK043701
6 · The paper itself

Abstract

Many nuclear proteins, including the nuclear receptor co-repressor (NCoR) protein are localized to specific regions of the cell nucleus, and this subnuclear positioning is preserved when NCoR is expressed in cells as a fusion to a fluorescent protein (FP). To determine how specific factors may influence the subnuclear organization of NCoR requires an unbiased approach to the selection of cells for image analysis. Here, we use the co-expression of the monomeric red FP (mRFP) to select cells that also express NCoR labeled with yellow FP (YFP). The transfected cells are selected for imaging based on the diffuse cellular mRFP signal without prior knowledge of the subnuclear organization of the co-expressed YFP-NCoR. The images acquired of the expressed FPs are then analyzed using an automated image analysis protocol that identifies regions of interest (ROIs) using a set of empirically determined rules. The relative expression levels of both fluorescent proteins are estimated, and YFP-NCoR subnuclear organization is quantified based on the mean focal body size and relative intensity. The selected ROIs are tagged with an identifier and annotated with the acquired data. This integrated image analysis protocol is an unbiased method for the precise and consistent measurement of thousands of ROIs from hundreds of individual cells in the population.

Indexed as

AnimalsAnthozoaBacterial ProteinsCell LineImage EnhancementIntranuclear SpaceLuminescent ProteinsMiceNuclear ProteinsRed Fluorescent ProteinTransfectionBacterial ProteinsLuminescent ProteinsNuclear ProteinsRed Fluorescent Proteinyellow fluorescent protein, Bacteria

Identifiers

PMID14989088
PMCPMC1182179
OpenAlexW2155466862

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.