Evidence map›Paper›PMID 30507980›Full record

ReviewThe Analyst2019

New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells.

Sneha P Couvillion, Ying Zhu, Gabe Nagy, Joshua N Adkins, Charles Ansong, Ryan S Renslow, Paul D Piehowski, Yehia M Ibrahim, Ryan T Kelly, Thomas O Metz

Abstract readReview
In one paragraph

Review in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Characterizing therapeutic effects of velvet antler using different omics strategies.Journal of traditional and complementary medicine · 2025
    Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Mass Spectrometry Imaging ofJournal of the American Society for Mass Spectrometry · 2021
    Article
  18. Article
  19. Chemoproteomics for Plasmodium Parasite Drug Target Discovery.Chembiochem : a European journal of chemical biology · 2021
    Review
  20. 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

10 authors.

Sneha P CouvillionEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA. thomas.metz@pnnl.gov.
Ying Zhu
Gabe Nagy
Joshua N Adkins
Charles Ansong
Ryan S Renslow
Paul D Piehowski
Yehia M Ibrahim
Ryan T Kelly
Thomas O Metz

Funding

Systems Biology Identifies Restriction Factors for West Nile VirusU19AI106772 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI KAWAOKA, YOSHIHIRO · 2013 to 2017
$26.1M
Pacific Northwest Advanced Compound Identification CoreU2CES030170 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI METZ, THOMAS O · 2018 to 2021
$4.6M
Center for Lung Development Imaging and OmicsU01HL122703 · NHLBI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ANSONG, CHARLES K, CARSON, JAMES PAUL · 2014 to 2018
$4.5M
Single Cell Resolution Omics Analysis of T1D isletsUC4DK108101 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ANSONG, CHARLES K, SUSSEL, LORI · 2015 to 2015
$2.9M
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
Next generation, 'Standards-Free' Metabolite Identification PipelineR03CA222443 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI METZ, THOMAS O · 2017 to 2017
$190k
NCI NIH HHS R03 CA222443NCI NIH HHS R33 CA225248NHLBI NIH HHS U01 HL122703NIAID NIH HHS U19 AI106772NIBIB NIH HHS R21 EB020976NIDDK NIH HHS UC4 DK108101NIEHS NIH HHS U2C ES030170
6 · The paper itself

Abstract

Mass-spectrometry based omics technologies - namely proteomics, metabolomics and lipidomics - have enabled the molecular level systems biology investigation of organisms in unprecedented detail. There has been increasing interest for gaining a thorough, functional understanding of the biological consequences associated with cellular heterogeneity in a wide variety of research areas such as developmental biology, precision medicine, cancer research and microbiome science. Recent advances in mass spectrometry (MS) instrumentation and sample handling strategies are quickly making comprehensive omics analyses of single cells feasible, but key breakthroughs are still required to push through remaining bottlenecks. In this review, we discuss the challenges faced by single cell MS-based omics analyses and highlight recent technological advances that collectively can contribute to comprehensive and high throughput omics analyses in single cells. We provide a vision of the potential of integrating pioneering technologies such as Structures for Lossless Ion Manipulations (SLIM) for improved sensitivity and resolution, novel peptide identification tactics and standards free metabolomics approaches for future applications in single cell analysis.

Indexed as

GenomicsHumansMass SpectrometryMetabolomicsPrecision MedicineProteomicsSingle-Cell AnalysisSystems Biology

Identifiers

PMID30507980
PMCPMC6349538

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.