Evidence map›Paper›PMID 25826597›Full record

ArticleScientific reports2015

Machine-based method for multiplex in situ molecular characterization of tissues by immunofluorescence detection.

Dmitry Yarilin, Ke Xu, Mesruh Turkekul, Ning Fan, Yevgeniy Romin, Sho Fijisawa, Afsar Barlas, Katia Manova-Todorova

Abstract read
In one paragraph

Article in Scientific reports, 2015. 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
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  14. Article
  15. An Introduction to Performing Immunofluorescence Staining.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  16. Article
  17. Article
  18. eLife · 2018
    Article
  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

8 authors.

Dmitry YarilinMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Ke XuMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Mesruh TurkekulMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Ning FanMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Yevgeniy RominMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Sho FijisawaMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Afsar BarlasMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Katia Manova-TodorovaMolecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA 008748NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Immunofluorescent staining is an informative tool that is widely used in basic research. Automation of immunostaining improves reproducibility and quality of the results. Up to now, use of automation in immunofluorescent staining was mostly limited to one marker. Here we present tyramide signal amplification based method of multiple marker immunofluorescent detection, including detection of antibodies, raised in the same species, in tissue sections and cultured cells. This method can be beneficial for both basic and clinical research.

Indexed as

Automation, LaboratoryFluorescent Antibody TechniqueAnimalsAntigens, CDBiomarkersHumansMiceReproducibility of ResultsAntigens, CDBiomarkers

Identifiers

PMID25826597
PMCPMC4821037

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.