Evidence map›Paper›PMID 20467571›Full record

ArticleIEEE sensors journal2009

A Microfluidic Platform for Characterization of Protein-Protein Interactions.

Mehdi Javanmard, Amirali H Talasaz, Mohsen Nemat-Gorgani, David E Huber, Fabian Pease, Mostafa Ronaghi, Ronald W Davis

Abstract read
In one paragraph

Article in IEEE sensors journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Electrical Detection of Proteins and DNA using Bioactivated Microfluidic Channels: Theoretical and Experimental Considerations.Journal of vacuum science & technology. B, Microelectronics and nanometer structures : processing, measurement, and phenomena : an official journal of the American Vacuum Society · 2009
    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.

Mehdi JavanmardM. Javanmard and F. Pease are with the Department of Electrical Engineering, Stanford University, Stanford, CA 94305 USA ( mehdij@stanford.edu ; pease@cis.stanford.edu ). A. H. Talasaz, M. Nemat-Gorgani, D. E. Huber, and R. W. Davis are with the Stanford Genome Technology Center, Palo Alto, CA 94304 USA ( atalasaz@stanford.edu ; mohsenn@stanford.edu ; david.huber@stanford.edu ; dbowe@stanford.edu ). M. Ronaghi is with Illumina Inc., San Diego, CA 92121 USA ( mronaghi@illumina.com ).
Amirali H Talasaz
Mohsen Nemat-Gorgani
David E Huber
Fabian Pease
Mostafa Ronaghi
Ronald W Davis

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
NHGRI NIH HHS P01 HG000205
6 · The paper itself

Abstract

Traditionally, expensive and time consuming techniques such as mass spectrometry and Western Blotting have been used for characterization of protein-protein interactions. In this paper, we describe the design, fabrication, and testing of a rapid and inexpensive sensor, involving the use of microelectrodes in a microchannel, which can be used for real-time electrical detection of specific interactions between proteins. We have successfully demonstrated detection of target glycoprotein-glycoprotein interactions, antigen-antibody interactions, and glycoprotein-antigen interactions. We have also demonstrated the ability of this technique to distinguish between strong and weak interactions. Using this approach, it may be possible to multiplex an array of these sensors onto a chip and probe a complex mixture for various types of interactions involving protein molecules.

Identifiers

PMID20467571
PMCPMC2868195

What OpenQuestion holds

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Registered trials

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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.