Evidence map›Paper›PMID 26967961›Full record

ArticleJournal of the American Chemical Society2016

Ratiometric Array of Conjugated Polymers-Fluorescent Protein Provides a Robust Mammalian Cell Sensor.

Subinoy Rana, S Gokhan Elci, Rubul Mout, Arvind K Singla, Mahdieh Yazdani, Markus Bender, Avinash Bajaj, Krishnendu Saha, Uwe H F Bunz, Frank R Jirik and 1 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Pattern-recognition-based Sensor Arrays for Cell Characterization: From Materials and Data Analyses to Biomedical Applications.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Fluorescence spectral shape analysis for nucleotide identification.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  17. Array-based "Chemical Nose" Sensing in Diagnostics and Drug Discovery.Angewandte Chemie (International ed. in English) · 2019
    Review
  18. Review
  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

11 authors.

Subinoy RanaDepartment of Chemistry, University of Massachusetts Amherst , 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.
S Gokhan ElciDepartment of Chemistry, University of Massachusetts Amherst , 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.
Rubul MoutDepartment of Chemistry, University of Massachusetts Amherst , 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.
Arvind K SinglaDepartment of Biochemistry and Molecular Biology, The McCaig Institute for Bone and Joint Health, Arnie Charbonneau Cancer Institute, University of Calgary , Calgary, Alberta T2N 1N4, Canada.
Mahdieh YazdaniDepartment of Chemistry, University of Massachusetts Amherst , 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.
Markus BenderOrganisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg , Im Neuenheimer Feld 270, 69120 Heidelberg, Germany.
Avinash BajajDepartment of Chemistry, University of Massachusetts Amherst , 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.
Krishnendu SahaDepartment of Chemistry, University of Massachusetts Amherst , 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.
Uwe H F BunzOrganisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg , Im Neuenheimer Feld 270, 69120 Heidelberg, Germany.
Frank R JirikDepartment of Biochemistry and Molecular Biology, The McCaig Institute for Bone and Joint Health, Arnie Charbonneau Cancer Institute, University of Calgary , Calgary, Alberta T2N 1N4, Canada.
Vincent M RotelloDepartment of Chemistry, University of Massachusetts Amherst , 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.

Funding

Recognition and Presentation of Alpha Helices using Nanoparticle ReceptorsR01GM077173 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ROTELLO, VINCENT M. · 2007 to 2018
$3.7M
NIGMS NIH HHS GM077173NIGMS NIH HHS R01 GM077173
6 · The paper itself

Abstract

Supramolecular complexes of a family of positively charged conjugated polymers (CPs) and green fluorescent protein (GFP) create a fluorescence resonance energy transfer (FRET)-based ratiometric biosensor array. Selective multivalent interactions of the CPs with mammalian cell surfaces caused differential change in FRET signals, providing a fingerprint signature for each cell type. The resulting fluorescence signatures allowed the identification of 16 different cell types and discrimination between healthy, cancerous, and metastatic cells, with the same genetic background. While the CP-GFP sensor array completely differentiated between the cell types, only partial classification was achieved for the CPs alone, validating the effectiveness of the ratiometric sensor. The utility of the biosensor was further demonstrated in the detection of blinded unknown samples, where 121 of 128 samples were correctly identified. Notably, this selectivity-based sensor stratified diverse cell types in minutes, using only 2000 cells, without requiring specific biomarkers or cell labeling.

Indexed as

FluorescenceAnimalsBiosensing TechniquesFluorescence Resonance Energy TransferGreen Fluorescent ProteinsHumansMiceModels, ChemicalPolymersGreen Fluorescent ProteinsPolymers

Identifiers

PMID26967961
PMCPMC5846335

What OpenQuestion holds

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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.