Evidence map›Paper›PMID 30271983›Full record

ArticleCommunications biology2018

Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells.

Tujin Shi, Matthew J Gaffrey, Thomas L Fillmore, Carrie D Nicora, Lian Yi, Pengfei Zhang, Anil K Shukla, H Steven Wiley, Karin D Rodland, Tao Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 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
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. ANPELA: Significantly Enhanced Quantification Tool for Cytometry-Based Single-Cell Proteomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  4. Article
  5. Article
  6. The rise of single-cell proteomics.Analytical science advances · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Clinical potential of mass spectrometry-based proteogenomics.Nature reviews. Clinical oncology · 2019
    Review
  14. 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

12 authors at 2 institutions in 2 countries.

Tujin ShiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA. tujin.shi@pnnl.gov.
Matthew J GaffreyBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.
Thomas L FillmoreEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.
Carrie D NicoraBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.
Lian YiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.
Pengfei ZhangKey Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Anil K ShuklaBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.
H Steven WileyEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.
Karin D RodlandBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.ORCID http://orcid.org/0000-0001-9529-6550
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA.ORCID http://orcid.org/0000-0002-2381-2349
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA, USA. weijun.qian@pnnl.gov.ORCID http://orcid.org/0000-0002-5393-2827
Pacific Northwest National Laboratory · USCentral South University · CN

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
PNNL Clinical Proteome Characterization CenterU24CA160019 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI RODLAND, KARIN D, SMITH, RICHARD D · 2011 to 2016
$15.7M
PNNL Proteome Characterization CenterU24CA210955 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, TAO, SMITH, RICHARD D · 2016 to 2020
$5.3M
Regulatory Networks and Biomarkers of Beta-cell Dysfunction and ApoptosisUC4DK104167 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KULKARNI, ROHIT N., MATHEWS, CLAYTON E · 2014 to 2016
$2.7M
Serum protein biomarkers for predicting type 1 diabetesDP3DK110844 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI QIAN, WEI-JUN · 2016 to 2016
$1.8M
NCI NIH HHS U24 CA160019NCI NIH HHS U24 CA210955NIDDK NIH HHS DP3 DK110844NIDDK NIH HHS UC4 DK104167NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

There is an unmet technical challenge for mass spectrometry (MS)-based proteomic analysis of single mammalian cells. Quantitative proteomic analysis of single cells has been previously achieved by antibody-based immunoassays but is limited by the availability of high-quality antibodies. Herein we report a facile targeted MS-based proteomics method, termed cPRISM-SRM (carrier-assisted high-pressure, high-resolution separations with intelligent selection and multiplexing coupled to selected reaction monitoring), for reliable analysis of low numbers of mammalian cells. The method capitalizes on using "carrier protein" to assist processing of low numbers of cells with minimal loss, high-resolution PRISM separation for target peptide enrichment, and sensitive SRM for protein quantification. We have demonstrated that cPRISM-SRM has sufficient sensitivity to quantify proteins expressed at ≥200,000 copies per cell at the single-cell level and ≥3000 copies per cell in 100 mammalian cells. We envision that with further improvement cPRISM-SRM has the potential to move toward targeted MS-based single-cell proteomics.

Identifiers

PMID30271983
PMCPMC6123794
OpenAlexW2887618057

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.