Evidence map›Paper›PMID 26210472›Full record

ArticleBiosensors & bioelectronics2015

Reconfigurable hybrid interface for molecular marker diagnostics and in-situ reporting.

Kristina Ehrhardt, Michael T Guinn, Tyler Quarton, Michael Q Zhang, Leonidas Bleris

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Kristina EhrhardtBioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA; Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA.
Michael T GuinnBioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA; Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA.
Tyler QuartonBioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA; Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA.
Michael Q ZhangBioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA; Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA; Biological Sciences Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA.
Leonidas BlerisBioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA; Electrical Engineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA; Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA. Electronic address: bleris@utdallas.edu.
Center for Systems Biology · USThe University of Texas at Dallas · US

Funding

Rewiring the miRNA-MDM2-p53 network to reactivate p53 functionR21CA170018 · NCI · UNIVERSITY OF TEXAS DALLAS · PI BLERIS, LEONIDAS, MA, LAN · 2012 to 2013
$354k
Probing the characteristics of genetic circuits integrated in mammalian cells andR15GM096271 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI BLERIS, LEONIDAS · 2011 to 2011
$306k
BETA-TUBULIN GENE FUNCTION IN ASPERGILLUS NIDULANSF32GM009627 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI MAY, GREGORY S. · 1985 to 1986
–
NCI NIH HHS R21 CA170018NIGMS NIH HHS R15GM09627NIGMS NIH HHS R15 GM096271
6 · The paper itself

Abstract

Combinations of molecular signals such as transcription factors and microRNAs in cells are a reliable indicator of multi-gene disorders. A system capable of detecting these conditions in-situ may be used as a tool for diagnosis and monitoring of disease. Here, we engineer genetic circuits that sense endogenous levels of the androgen receptor (AR), the glucocorticoid receptor (GR), and the microRNA hsa-miR-21 (miR-21) in cervical cancer cells (HeLa). Furthermore, using the mediator molecule human chorionic gonadotropin (hCG), we interface the intracellular information to enzyme-linked immunosorbent assay (ELISA) test strips. We demonstrate that this hybrid genetic circuit and test-strip interface can accommodate combinatorial, low-cost, and in-situ reporting, a versatile profiling tool.

Indexed as

Reagent StripsBiomarkers, TumorBiosensing TechniquesEquipment DesignEquipment Failure AnalysisGene Regulatory NetworksHeLa CellsHumansMicroRNAsMolecular Diagnostic TechniquesNeoplasm ProteinsTranscription FactorsBiomarkers, TumorMicroRNAsNeoplasm ProteinsReagent StripsTranscription FactorsDiagnosticsHybrid sensorsMicroRNAsProfiling.Synthetic biology

Identifiers

PMID26210472
PMCPMC4549190
OpenAlexW919597407

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.