Evidence map›Paper›PMID 30269481›Full record

ArticleAnalytical chemistry2018

Proteome Profiling of 1 to 5 Spiked Circulating Tumor Cells Isolated from Whole Blood Using Immunodensity Enrichment, Laser Capture Microdissection, Nanodroplet Sample Processing, and Ultrasensitive nanoLC-MS.

Ying Zhu, Jennifer Podolak, Rui Zhao, Anil K Shukla, Ronald J Moore, George V Thomas, Ryan T Kelly

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
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  9. Review
  10. What's new in single-cell proteomics.Current opinion in biotechnology · 2024
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Easy and Accessible Workflow for Label-Free Single-Cell Proteomics.Journal of the American Society for Mass Spectrometry · 2023
    Article
  16. Article
  17. Rapid, One-Step Sample Processing for Label-Free Single-Cell Proteomics.Journal of the American Society for Mass Spectrometry · 2023
    Article
  18. Article
  19. Article
  20. 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.

Ying ZhuEnvironmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.ORCID 0000-0002-5416-0566
Jennifer PodolakKnight Cancer Institute , Oregon Health & Science University , Portland , Oregon 97239 , United States.
Rui ZhaoEnvironmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.
Anil K ShuklaBiological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.
Ronald J MooreBiological Sciences Division , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.
George V ThomasKnight Cancer Institute , Oregon Health & Science University , Portland , Oregon 97239 , United States.
Ryan T KellyEnvironmental Molecular Sciences Laboratory , Pacific Northwest National Laboratory , Richland , Washington 99354 , United States.ORCID 0000-0002-3339-4443

Funding

TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI John Kyung Lee · 2002 to 2026
$58.1M
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
Area A: In-Depth Proteome Mapping of the Tumor Microenvironment with Single-Cell ResolutionR33CA225248 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2017 to 2017
$1.7M
High-throughput multidimensional bioseparations for next-generation proteomicsR21EB020976 · NIBIB · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KELLY, RYAN T · 2016 to 2017
$400k
NCI NIH HHS P50 CA097186NCI NIH HHS R33 CA225248NIBIB NIH HHS R21 EB020976NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Proteome profiling of circulating tumor cells (CTCs) can provide crucial insight into disease progression and the role of CTCs in tumor metastasis. We describe an integrated workflow to measure global protein expression in 1-5 spiked CTCs enriched from whole blood by immunodensity gradient centrifugation. Enriched CTCs were purified and collected by laser capture microdissection, prepared using a recently developed nanodroplet-based processing platform (nanoPOTS), and finally analyzed by ultrasensitive nanoLC-MS/MS. The workflow was capable of identifying an average of 164 and 607 protein groups from samples comprising 1 and 5 LNCaP cells, respectively, that were isolated from human whole blood. A panel of prostate cancer-specific proteins were identified and quantified, which was used to differentiate between spiked CTCs and white blood cells.

Indexed as

Laser Capture MicrodissectionNanotechnologyCell Line, TumorCentrifugationChromatography, LiquidHumansImmunohistochemistryNanoparticlesNeoplasm ProteinsNeoplastic Cells, CirculatingParticle SizeProteomeTandem Mass SpectrometryNeoplasm ProteinsProteome

Identifiers

PMID30269481
PMCPMC6686195

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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.