Evidence map›Paper›PMID 28724286›Full record

ArticleAnalytical chemistry2017

Deep-Dive Targeted Quantification for Ultrasensitive Analysis of Proteins in Nondepleted Human Blood Plasma/Serum and Tissues.

Song Nie, Tujin Shi, Thomas L Fillmore, Athena A Schepmoes, Heather Brewer, Yuqian Gao, Ehwang Song, Hui Wang, Karin D Rodland, Wei-Jun Qian and 2 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. An Introduction to Advanced Targeted Acquisition Methods.Molecular & cellular proteomics : MCP · 2021
    Review
  4. Article
  5. Article
  6. Clinical potential of mass spectrometry-based proteogenomics.Nature reviews. Clinical oncology · 2019
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
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 1 institution in 1 country.

Song NieBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Tujin ShiBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Thomas L FillmoreBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Athena A SchepmoesBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Heather BrewerBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Yuqian GaoBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Ehwang SongBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Hui WangBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Karin D RodlandBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Wei-Jun QianBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.
Richard D SmithBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.ORCID 0000-0002-2381-2349
Tao LiuBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.ORCID 0000-0001-9529-6550
Pacific Northwest National Laboratory · US

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
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 DK110844NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Mass spectrometry-based targeted proteomics (e.g., selected reaction monitoring, SRM) is emerging as an attractive alternative to immunoassays for protein quantification. Recently we have made significant progress in SRM sensitivity for enabling quantification of low nanograms per milliliter to sub-naograms per milliliter level proteins in nondepleted human blood plasma/serum without affinity enrichment. However, precise quantification of extremely low abundance proteins (e.g., ≤ 100 pg/mL in blood plasma/serum) using targeted proteomics approaches still remains challenging, especially for these samples without available antibodies for enrichment. To address this need, we have developed an antibody-independent deep-dive SRM (DD-SRM) approach that capitalizes on multidimensional high-resolution reversed-phase liquid chromatography (LC) separation for target peptide separation and enrichment combined with precise selection of target peptide fractions of interest, significantly improving SRM sensitivity by ∼5 orders of magnitude when compared to conventional LC-SRM. Application of DD-SRM to human serum and tissue provides precise quantification of endogenous proteins at the ∼10 pg/mL level in nondepleted serum and at <10 copies per cell level in tissue. Thus, DD-SRM holds great promise for precisely measuring extremely low abundance proteins or protein modifications, especially when high-quality antibodies are not available.

Indexed as

AntibodiesBlood ProteinsChromatography, Reverse-PhaseHumansImmunoassayMass SpectrometryPlasmaProstate-Specific AntigenProteomicsSensitivity and SpecificityAntibodiesBlood ProteinsProstate-Specific Antigen

Identifiers

PMID28724286
PMCPMC5627997
OpenAlexW2738326185

What OpenQuestion holds

Textmetadata
LicenceTDM
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.