Evidence map›Paper›PMID 21796534›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2011

Automated microscopy and image analysis for androgen receptor function.

Sean M Hartig, Justin Y Newberg, Michael J Bolt, Adam T Szafran, Marco Marcelli, Michael A Mancini

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

6 authors.

Sean M HartigDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA. hartig@bcm.edu
Justin Y Newberg
Michael J Bolt
Adam T Szafran
Marco Marcelli
Michael A Mancini

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
TRANSGENIC MOUSE MODELS TO STUDY OVARIAN FUNCTIONU54HD007495 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI RICHARDS, JOANNE STEWART · 1998 to 2013
$19.9M
Multidisciplinary K12 Urologic Research (KURe) Career Development ProgramK12DK083014 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI LAMB, DOLORES JEAN · 2008 to 2017
$6.0M
REPRODUCTIVE BIOLOGY: REGULATORY MECHANISMST32HD007165 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI O'MALLEY, BERT W · 1985 to 2015
$5.6M
STEROID RECEPTOR FUNCTION AND NUCLEAR ORGANIZATIONR01DK055622 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI MANCINI, MICHAEL A · 1999 to 2007
$2.1M
Unique Roles of p160 Coactivators during Human AdipogenesisF32DK085970 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI HARTIG, SEAN · 2009 to 2010
$102k
NCI NIH HHS P30 CA-125123NCI NIH HHS P30 CA125123NICHD NIH HHS 5T32HD007165NICHD NIH HHS T32 HD007165NICHD NIH HHS U54 HD-007495NICHD NIH HHS U54 HD007495NIDDK NIH HHS 1F32DK85979NIDDK NIH HHS 5K12DK083014NIDDK NIH HHS 5R01DK055622NIDDK NIH HHS F32 DK085970NIDDK NIH HHS K12 DK083014NIDDK NIH HHS P30 DK056338NIDDK NIH HHS P30 DK-56338NIDDK NIH HHS R01 DK055622
6 · The paper itself

Abstract

Systems-level approaches have emerged that rely on analytical, microscopy-based technology for the discovery of novel drug targets and the mechanisms driving AR signaling, transcriptional activity, and ligand independence. Single cell behavior can be quantified by high-throughput microscopy methods through analysis of endogenous protein levels and localization or creation of biosensor cell lines that can simultaneously detect both acute and latent responses to known and unknown androgenic stimuli. The cell imaging and analytical protocols can be automated to discover agonist/antagonist response windows for nuclear translocation, reporter gene activity, nuclear export, and subnuclear transcription events, facilitating access to a multiplex model system that is inherently unavailable through classic biochemical approaches. In this chapter, we highlight the key steps needed for developing, conducting, and analyzing high-throughput screens to identify effectors of AR signaling.

Indexed as

Image Processing, Computer-AssistedMicroscopyAutomation, LaboratoryCell Culture TechniquesCell LineCluster AnalysisGenes, ReporterGenetic VectorsHeLa CellsHumansReceptors, AndrogenReceptors, Androgen

Identifiers

PMID21796534
PMCPMC4437203

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.