Evidence map›Paper›PMID 25894652›Full record

ArticlePloS one2015

Quantitative assessment of antibody internalization with novel monoclonal antibodies against Alexa fluorophores.

Sindy Liao-Chan, Barbara Daine-Matsuoka, Nathan Heald, Tiffany Wong, Tracey Lin, Allen G Cai, Michelle Lai, Joseph A D'Alessio, Jan-Willem Theunissen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Identification of CD66c as a potential target in gastroesophageal junction cancer for antibody-drug conjugate development.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Sindy Liao-ChanDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Barbara Daine-MatsuokaDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Nathan HealdDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Tiffany WongDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Tracey LinDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Allen G CaiDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Michelle LaiDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Joseph A D'AlessioDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.
Jan-Willem TheunissenDepartment of Discovery Research, Igenica Biotherapeutics, Burlingame, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies against cell surface antigens may be internalized through their specific interactions with these proteins and in some cases may induce or perturb antigen internalization. The anti-cancer efficacy of antibody-drug conjugates is thought to rely on their uptake by cancer cells expressing the surface antigen. Numerous techniques, including microscopy and flow cytometry, have been used to identify antibodies with desired cellular uptake rates. To enable quantitative measurements of internalization of labeled antibodies, an assay based on internalized and quenched fluorescence was developed. For this approach, we generated novel anti-Alexa Fluor monoclonal antibodies (mAbs) that effectively and specifically quench cell surface-bound Alexa Fluor 488 or Alexa Fluor 594 fluorescence. Utilizing Alexa Fluor-labeled mAbs against the EphA2 receptor tyrosine kinase, we showed that the anti-Alexa Fluor reagents could be used to monitor internalization quantitatively over time. The anti-Alexa Fluor mAbs were also validated in a proof of concept dual-label internalization assay with simultaneous exposure of cells to two different mAbs. Importantly, the unique anti-Alexa Fluor mAbs described here may also enable other single- and dual-label experiments, including label detection and signal enhancement in macromolecules, trafficking of proteins and microorganisms, and cell migration and morphology.

Indexed as

Flow CytometryAmino Acid SequenceAnimalsAntibodies, MonoclonalAntigens, SurfaceCell Line, TumorFluorescent DyesHumansMaleimidesMiceMolecular Sequence DataProtein TransportReceptor, EphA2Spectrometry, FluorescenceAntibodies, MonoclonalAntigens, SurfaceFluorescent DyesmaleimideMaleimidesReceptor, EphA2

Identifiers

PMID25894652
PMCPMC4403856
OpenAlexW2064250567

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.