Evidence map›Paper›PMID 23943069›Full record

ReviewAnnals of biomedical engineering2014

Chemical tools for temporally and spatially resolved mass spectrometry-based proteomics.

Kai P Yuet, David A Tirrell

Open access · greenAbstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. MACSPI enables tissue-selective proteomic and interactomic analyses in multicellular organisms.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Quantitative BONCAT Allows Identification of Newly Synthesized Proteins after Optic Nerve Injury.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  5. Advances in Proteomics Allow Insights Into Neuronal Proteomes.Frontiers in molecular neuroscience · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cell-selective proteomics for biological discovery.Current opinion in chemical biology · 2017
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Cell-specific proteomic analysis in Caenorhabditis elegans.Proceedings of the National Academy of Sciences of the United States of America · 2015
    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

2 authors at 1 institution in 1 country.

Kai P YuetDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.
David A Tirrell
California Institute of Technology · US

Funding

NEW AMINO ACIDS FOR PROTEIN ENGINEERINGR01GM062523 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI TIRRELL, DAVID A · 2001 to 2013
$3.6M
NIGMS NIH HHS R01 GM062523
6 · The paper itself

Abstract

Accurate measurements of the abundances, synthesis rates and degradation rates of cellular proteins are critical for understanding how cells and organisms respond to changes in their environments. Over the past two decades, there has been increasing interest in the use of mass spectrometry for proteomic analysis. In many systems, however, protein diversity as well as cell and tissue heterogeneity limit the usefulness of mass spectrometry-based proteomics. As a result, researchers have had difficulty in systematically identifying proteins expressed within specified time intervals, or low abundance proteins expressed in specific tissues or in a few cells in complex microbial systems. In this review, we present recently-developed tools and strategies that probe these two subsets of the proteome: proteins synthesized during well-defined time intervals--temporally resolved proteomics--and proteins expressed in predetermined cell types, cells or cellular compartments--spatially resolved proteomics--with a focus on chemical and biological mass spectrometry-based methodologies.

Indexed as

Mass SpectrometryProteomics

Identifiers

PMID23943069
PMCPMC3925203
OpenAlexW2050333409

What OpenQuestion holds

Textmetadata
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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.