Evidence map›Paper›PMID 19176552›Full record

ArticleBioinformatics (Oxford, England)2009

Serial dilution curve: a new method for analysis of reverse phase protein array data.

Li Zhang, Qingyi Wei, Li Mao, Wenbin Liu, Gordon B Mills, Kevin Coombes

Abstract readComparative Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Four-parameter paired response curve for serial dilution assays.Journal of biopharmaceutical statistics · 2021
    Article
  6. Article
  7. Article
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  12. Article
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  15. Article
  16. Review
  17. ATM may be a protective factor in endometrial carcinogenesis with the progesterone pathway.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  18. 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

6 authors.

Li ZhangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1400 Pressler street, Unit 1410, Houston, TX 77030, USA. lzhangli@mdanderson.org
Qingyi Wei
Li Mao
Wenbin Liu
Gordon B Mills
Kevin Coombes

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
NCI NIH HHS P50 CA070907NCI NIH HHS P50 CA098258
6 · The paper itself

Abstract

unlabelledReverse phase protein arrays (RPPAs) are a powerful high-throughput tool for measuring protein concentrations in a large number of samples. In RPPA technology, the original samples are often diluted successively multiple times, forming dilution series to extend the dynamic range of the measurements and to increase confidence in quantitation. An RPPA experiment is equivalent to running multiple ELISA assays concurrently except that there is usually no known protein concentration from which one can construct a standard response curve. Here, we describe a new method called 'serial dilution curve for RPPA data analysis'. Compared with the existing methods, the new method has the advantage of using fewer parameters and offering a simple way of visualizing the raw data. We showed how the method can be used to examine data quality and to obtain robust quantification of protein concentrations. AVAILABILITY: A computer program in R for using serial dilution curve for RPPA data analysis is freely available at http://odin.mdacc.tmc.edu/~zhangli/RPPA.

Indexed as

Indicator Dilution TechniquesProtein Array AnalysisProteinsResearch DesignSoftwareProteins

Identifiers

PMID19176552
PMCPMC2647837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.