Evidence map›Paper›PMID 31467290›Full record

ArticleScientific data2019

A dataset describing a suite of novel antibody reagents for the RAS signaling network.

Regine M Schoenherr, Dongqing Huang, Uliana J Voytovich, Richard G Ivey, Jacob J Kennedy, Richard G Saul, Simona Colantonio, Rhonda R Roberts, Joseph G Knotts, Jan A Kaczmarczyk and 9 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

19 authors at 3 institutions in 1 country.

Regine M SchoenherrFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Dongqing HuangFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Uliana J VoytovichFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Richard G IveyFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Jacob J KennedyFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Richard G SaulCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Simona ColantonioCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Rhonda R RobertsCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Joseph G KnottsCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Jan A KaczmarczykCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Candice PerryCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Stephen M HewittNational Cancer Institute, Bethesda, MD, USA.
William BocikCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Gordon R WhiteleyCancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Tara HiltkeNational Cancer Institute, Bethesda, MD, USA.
Emily S BojaNational Cancer Institute, Bethesda, MD, USA.
Henry RodriguezNational Cancer Institute, Bethesda, MD, USA.
Jeffrey R WhiteakerFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Amanda G PaulovichFred Hutchinson Cancer Research Center, Seattle, WA, USA. apaulovi@fredhutch.org.
Frederick National Laboratory for Cancer Research · USFred Hutch Cancer Center · USNational Cancer Institute · US

Funding

Proteogenomic Studies aimed at understanding ovarian tumor responses to agents targeting the DNA damage response and translating this knowledge into clinical benefitU01CA214114 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BIRRER, MICHAEL, PAULOVICH, AMANDA G · 2017 to 2021
$8.4M
A proteomics research specialist in developing targeted mass spectrometry methods for quantifying proteins important in cancerR50CA211499 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jeff Whiteaker · 2016 to 2026
$2.8M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS R50 CA211499NCI NIH HHS U01 CA214114
6 · The paper itself

Abstract

RAS genes are frequently mutated in cancer and have for decades eluded effective therapeutic attack. The National Cancer Institute's RAS Initiative has a focus on understanding pathways and discovering therapies for RAS-driven cancers. Part of these efforts is the generation of novel reagents to enable the quantification of RAS network proteins. Here we present a dataset describing the development, validation (following consensus principles developed by the broader research community), and distribution of 104 monoclonal antibodies (mAbs) enabling detection of 27 phosphopeptides and 69 unmodified peptides from 20 proteins in the RAS network. The dataset characterizes the utility of the antibodies in a variety of applications, including Western blotting, immunoprecipitation, protein array, immunohistochemistry, and targeted mass spectrometry. All antibodies and characterization data are publicly available through the CPTAC Antibody Portal, Panorama Public Repository, and/or PRIDE databases. These reagents will aid researchers in discerning pathways and measuring expression changes in the RAS signaling network.

Indexed as

Genes, rasSignal TransductionAntibodies, MonoclonalCell LineDNA FingerprintingHumansIndicators and ReagentsMicrosatellite RepeatsNeoplasmsAntibodies, MonoclonalIndicators and Reagents

Identifiers

PMID31467290
PMCPMC6715692
OpenAlexW2970596932

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.