Evidence map›Paper›PMID 29531020›Full record

ArticleMolecular & cellular proteomics : MCP2018

Implementation of a Multiplex and Quantitative Proteomics Platform for Assessing Protein Lysates Using DNA-Barcoded Antibodies.

Jinho Lee, Gary K Geiss, Gokhan Demirkan, Christopher P Vellano, Brian Filanoski, Yiling Lu, Zhenlin Ju, Shuangxing Yu, Huifang Guo, Lisa Y Bogatzki and 6 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Virtual Issue: Technological Innovations.Molecular & cellular proteomics : MCP · 2020
    Article
  9. Article
  10. Review
  11. A user's perspective on GeoMxImmuno-oncology technology · 2019
    Review
  12. Article
  13. Review
  14. Credentialing Individual Samples for Proteogenomic Analysis.Molecular & cellular proteomics : MCP · 2018
    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

16 authors.

Jinho LeeFrom the ‡The University of Texas M.D. Anderson Cancer Center, Department of Systems Biology, 1300 Moursund St., Houston, Texas 77030; gmills@mdanderson.org jlee17@mdanderson.org ggeiss@nanostring.com.
Gary K Geiss§NanoString Technologies, Inc., 530 Fairview Ave N., Seattle, Washington 98109; gmills@mdanderson.org jlee17@mdanderson.org ggeiss@nanostring.com.
Gokhan Demirkan§NanoString Technologies, Inc., 530 Fairview Ave N., Seattle, Washington 98109.
Christopher P VellanoFrom the ‡The University of Texas M.D. Anderson Cancer Center, Department of Systems Biology, 1300 Moursund St., Houston, Texas 77030.
Brian Filanoski§NanoString Technologies, Inc., 530 Fairview Ave N., Seattle, Washington 98109.
Yiling LuFrom the ‡The University of Texas M.D. Anderson Cancer Center, Department of Systems Biology, 1300 Moursund St., Houston, Texas 77030.
Zhenlin Ju¶The University of Texas M.D. Anderson Cancer Center, Department of Pathology, 1515 Holcombe Blvd, Houston, Texas 77030.
Shuangxing YuFrom the ‡The University of Texas M.D. Anderson Cancer Center, Department of Systems Biology, 1300 Moursund St., Houston, Texas 77030.
Huifang GuoFrom the ‡The University of Texas M.D. Anderson Cancer Center, Department of Systems Biology, 1300 Moursund St., Houston, Texas 77030.
Lisa Y Bogatzki§NanoString Technologies, Inc., 530 Fairview Ave N., Seattle, Washington 98109.
Warren Carter§NanoString Technologies, Inc., 530 Fairview Ave N., Seattle, Washington 98109.
Rhonda K Meredith§NanoString Technologies, Inc., 530 Fairview Ave N., Seattle, Washington 98109.
Savitri Krishnamurthy¶The University of Texas M.D. Anderson Cancer Center, Department of Pathology, 1515 Holcombe Blvd, Houston, Texas 77030.
Zhiyong DingFrom the ‡The University of Texas M.D. Anderson Cancer Center, Department of Systems Biology, 1300 Moursund St., Houston, Texas 77030.
Joseph M Beechem§NanoString Technologies, Inc., 530 Fairview Ave N., Seattle, Washington 98109.
Gordon B MillsFrom the ‡The University of Texas M.D. Anderson Cancer Center, Department of Systems Biology, 1300 Moursund St., Houston, Texas 77030; gmills@mdanderson.org jlee17@mdanderson.org ggeiss@nanostring.com.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Functional Proteomics by Reverse Phase Protein Array in CancerR50CA221675 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LU, YILING · 2017 to 2021
$726k
NCI NIH HHS P30 CA016672NCI NIH HHS R50 CA221675
6 · The paper itself

Abstract

Molecular analysis of tumors forms the basis for personalized cancer medicine and increasingly guides patient selection for targeted therapy. Future opportunities for personalized medicine are highlighted by the measurement of protein expression levels via immunohistochemistry, protein arrays, and other approaches; however, sample type, sample quantity, batch effects, and "time to result" are limiting factors for clinical application. Here, we present a development pipeline for a novel multiplexed DNA-labeled antibody platform which digitally quantifies protein expression from lysate samples. We implemented a rigorous validation process for each antibody and show that the platform is amenable to multiple protocols covering nitrocellulose and plate-based methods. Results are highly reproducible across technical and biological replicates, and there are no observed "batch effects" which are common for most multiplex molecular assays. Tests from basal and perturbed cancer cell lines indicate that this platform is comparable to orthogonal proteomic assays such as Reverse-Phase Protein Array, and applicable to measuring the pharmacodynamic effects of clinically-relevant cancer therapeutics. Furthermore, we demonstrate the potential clinical utility of the platform with protein profiling from breast cancer patient samples to identify molecular subtypes. Together, these findings highlight the potential of this platform for enhancing our understanding of cancer biology in a clinical translation setting.

Indexed as

AntibodiesCell Line, TumorDNAFemaleHumansNeoplasmsProteinsProteomicsAntibodiesDNAProteinsAntibodies*Cancer Biology*DNA-barcoded antibodyMultiplexednCounterOmicsProtein arrayProtein lysate protocolProteomics PlatformSystems biology*

Identifiers

PMID29531020
PMCPMC5986246

What OpenQuestion holds

Textmetadata
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.