Evidence map›Paper›PMID 22313286›Full record

ArticleJournal of the American Chemical Society2012

Quantification of transcription factor binding in cell extracts using an electrochemical, structure-switching biosensor.

Andrew J Bonham, Kuangwen Hsieh, B Scott Ferguson, Alexis Vallée-Bélisle, Francesco Ricci, H Tom Soh, Kevin W Plaxco

Abstract readEvaluation Study
In one paragraph

Article in Journal of the American Chemical Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Rationally Designed DNA-Based Scaffolds and Switching Probes for Protein Sensing.Advances in biochemical engineering/biotechnology · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Nanostructured gold dsDNA sensor for early detection of breast cancer by beta protein 1 (BPJournal of electroanalytical chemistry (Lausanne, Switzerland) · 2015
    Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Andrew J BonhamDepartment of Chemistry & Biochemistry, University of California, Santa Barbara, California 93106, USA.
Kuangwen Hsieh
B Scott Ferguson
Alexis Vallée-Bélisle
Francesco Ricci
H Tom Soh
Kevin W Plaxco

Funding

Rapid detection of diagnostic chemokinesR01AI076899 · NIAID · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2010 to 2014
$1.7M
Strain Specific Detection of Influenza at the Point-of-CareR01EB009764 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SOH, HYONGSOK TOM · 2009 to 2012
$1.5M
Electrochemical arrays for the detection of small molecule drugsR01EB007689 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2008 to 2011
$1.3M
NIAID NIH HHS R01 AI076899NIBIB NIH HHS R01 EB007689NIBIB NIH HHS R01EB007689NIBIB NIH HHS R01 EB009764NIBIB NIH HHS R01EB009764
6 · The paper itself

Abstract

Transcription factor expression levels, which sensitively reflect cellular development and disease state, are typically monitored via cumbersome, reagent-intensive assays that require relatively large quantities of cells. Here, we demonstrate a simple, quantitative approach to their detection based on a simple, electrochemical sensing platform. This sensor sensitively and quantitatively detects its target transcription factor in complex media (e.g., 250 μg/mL crude nuclear extracts) in a convenient, low-reagent process requiring only 10 μL of sample. Our approach thus appears a promising means of monitoring transcription factor levels.

Indexed as

Biosensing TechniquesCell ExtractsDNAElectrochemical TechniquesHeLa CellsHumansNucleic Acid ConformationOxidation-ReductionSensitivity and SpecificityTranscription FactorsCell ExtractsDNATranscription Factors

Identifiers

PMID22313286
PMCPMC3523731

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.