Evidence map›Paper›PMID 18523019›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Label-free and dynamic detection of biomolecular interactions for high-throughput microarray applications.

Emre Ozkumur, James W Needham, David A Bergstein, Rodrigo Gonzalez, Mario Cabodi, Jonathan M Gershoni, Bennett B Goldberg, M Selim Unlü

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. A Label-Free blocking immunoassay to evaluate Anti-Adalimumab antibody activity in clinical samples.Journal of mass spectrometry and advances in the clinical lab · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Label-free optical biosensors in the pandemic era.Nanophotonics (Berlin, Germany) · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  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

8 authors.

Emre OzkumurDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.
James W Needham
David A Bergstein
Rodrigo Gonzalez
Mario Cabodi
Jonathan M Gershoni
Bennett B Goldberg
M Selim Unlü

Funding

High-throughput, Label-free Promoter Sequence DiscoveryR21GM074872 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI UNLU, M SELIM · 2006 to 2007
$428k
NIGMS NIH HHS R21 GM074872NIGMS NIH HHS R21 GM074872-01A1
6 · The paper itself

Abstract

Direct monitoring of primary molecular-binding interactions without the need for secondary reactants would markedly simplify and expand applications of high-throughput label-free detection methods. A simple interferometric technique is presented that monitors the optical phase difference resulting from accumulated biomolecular mass. As an example, 50 spots for each of four proteins consisting of BSA, human serum albumin, rabbit IgG, and protein G were dynamically monitored as they captured corresponding antibodies. Dynamic measurements were made at 26 pg/mm(2) SD per spot and with a detectable concentration of 19 ng/ml. The presented method is particularly relevant for protein microarray analysis because it is label-free, simple, sensitive, and easily scales to high-throughput.

Indexed as

AnimalsAntigen-Antibody ReactionsBiosensing TechniquesCattleHumansIndicator Dilution TechniquesKineticsProtein Array AnalysisRabbitsStaining and Labeling

Identifiers

PMID18523019
PMCPMC2430348

What OpenQuestion holds

Textmetadata
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.