Evidence map›Paper›PMID 19102773›Full record

ArticleBMC bioinformatics2008

RPPAML/RIMS: a metadata format and an information management system for reverse phase protein arrays.

Romesh Stanislaus, Mark Carey, Helena F Deus, Kevin Coombes, Bryan T Hennessy, Gordon B Mills, Jonas S Almeida

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Pediatric Tuberculosis: The Impact of "Omics" on Diagnostics Development.International journal of molecular sciences · 2020
    Review
  4. Review
  5. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.Contemporary oncology (Poznan, Poland) · 2015
    Review
  6. Article
  7. Article
  8. 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 at 2 institutions in 2 countries.

Romesh StanislausDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. rstanisl@mdanderson.org
Mark Carey
Helena F Deus
Kevin Coombes
Bryan T Hennessy
Gordon B Mills
Jonas S Almeida
The University of Texas MD Anderson Cancer Center · USUniversidade Nova de Lisboa · PT

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
U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
Tyrosine Kinase-Dependant and - Independent Pathways of EGFR in Breast Cancer ProP01CA099031 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUNG, MIEN-CHIE · 2003 to 2014
$11.6M
Targeted and global proteomic strategies for early breast cancer detectionU24CA126477 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FISHER, SUSAN J. · 2006 to 2011
$8.7M
Clinical Proteomic Technology Assessment for CancerU24CA126479 · NCI · VANDERBILT UNIVERSITY · PI LIEBLER, DANIEL C · 2006 to 2010
$7.9M
NHLBI PROTEOMICS INITIATIVE-N01HV28181N01HV028181 · HV · MEDICAL UNIV OF SOUTH CAROLINA · PI KNAPP, DANIEL · 2002 to 2006
–
NCI NIH HHS P01 CA099031NCI NIH HHS P50 CA070907NCI NIH HHS P50 CA098258NCI NIH HHS P50 CA70907NCI NIH HHS U24 CA126477NCI NIH HHS U24 CA126479NCRR NIH HHS 1UL1 RR024148NCRR NIH HHS UL1 RR024148NHLBI NIH HHS N01 HV028181NHLBI NIH HHS N01-HV-28181
6 · The paper itself

Abstract

backgroundReverse Phase Protein Arrays (RPPA) are convenient assay platforms to investigate the presence of biomarkers in tissue lysates. As with other high-throughput technologies, substantial amounts of analytical data are generated. Over 1,000 samples may be printed on a single nitrocellulose slide. Up to 100 different proteins may be assessed using immunoperoxidase or immunoflorescence techniques in order to determine relative amounts of protein expression in the samples of interest.

resultsIn this report an RPPA Information Management System (RIMS) is described and made available with open source software. In order to implement the proposed system, we propose a metadata format known as reverse phase protein array markup language (RPPAML). RPPAML would enable researchers to describe, document and disseminate RPPA data. The complexity of the data structure needed to describe the results and the graphic tools necessary to visualize them require a software deployment distributed between a client and a server application. This was achieved without sacrificing interoperability between individual deployments through the use of an open source semantic database, S3DB. This data service backbone is available to multiple client side applications that can also access other server side deployments. The RIMS platform was designed to interoperate with other data analysis and data visualization tools such as Cytoscape.

conclusionThe proposed RPPAML data format hopes to standardize RPPA data. Standardization of data would result in diverse client applications being able to operate on the same set of data. Additionally, having data in a standard format would enable data dissemination and data analysis.

Indexed as

SoftwareAlgorithmsDatabase Management SystemsDatabases, ProteinProgramming LanguagesProtein Array Analysis

Identifiers

PMID19102773
PMCPMC2639439
OpenAlexW2171999860

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.