Evidence map›Paper›PMID 24071916›Full record

ArticleChemical communications (Cambridge, England)2013

A fluorescent peroxidase probe increases the sensitivity of commercial ELISAs by two orders of magnitude.

Abhinav P Acharya, Parsa M Nafisi, Austin Gardner, Joanna L Mackay, Kousik Kundu, Sanjay Kumar, Niren Murthy

Abstract read
In one paragraph

Article in Chemical communications (Cambridge, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Bacterial Peroxidase on Electrochemically Reduced Graphene Oxide for Highly Sensitive HChembiochem : a European journal of chemical biology · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Abhinav P AcharyaDepartment of Bioengineering, University of California, Berkeley, California 94720, USA. nmurthy@berkeley.edu.
Parsa M Nafisi
Austin Gardner
Joanna L Mackay
Kousik Kundu
Sanjay Kumar
Niren Murthy

Funding

TRANS-NETWORK PROJECTSU54CA143836 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIPHARDT, JAN T. · 2009 to 2014
$15.1M
UCSF/UCB Joint Graduate Group in BIoengineeringT32GM008155 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DESAI, TEJAL A. · 1985 to 2020
$12.2M
Cellular mechanobiology: Biophysics and therapeuticsDP2OD004213 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI KUMAR, SANJAY · 2008 to 2008
$2.3M
Plaque detection with the hydrocyaninesR01HL096796 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI MURTHY, NIREN · 2009 to 2013
$1.8M
Maltodextrin based antibioticsR21AI098799 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI MURTHY, NIREN · 2012 to 2013
$436k
NCI NIH HHS 1U54CA143836NCI NIH HHS U54 CA143836NHLBI NIH HHS HHSN268201000043CNHLBI NIH HHS R01 HL096796NIAID NIH HHS R21 AI098799NIGMS NIH HHS T32 GM008155NIH HHS 1DP2OD004213NIH HHS DP2 OD004213
6 · The paper itself

Abstract

The low detection sensitivity of enzyme linked immunosorbent assays (ELISAs) is a central problem in science and limits progress in multiple areas of biology and medicine. In this report we demonstrate that the hydrocyanines, a family of fluorescent reactive oxygen species (ROS) probes, can act as turn on fluorescent horseradish peroxidase (HRP) probes and thereby increase the sensitivity of conventional ELISAs by two orders of magnitude.

Indexed as

Limit of DetectionCarbocyaninesCell LineEnzyme-Linked Immunosorbent AssayFluorescent DyesHorseradish PeroxidaseCarbocyaninesFluorescent DyesHorseradish Peroxidase

Identifiers

PMID24071916
PMCPMC4011665

What OpenQuestion holds

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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.