Evidence map›Paper›PMID 22801420›Full record

ReviewChemical communications (Cambridge, England)2012

Imaging beyond the proteome.

Pamela V Chang, Carolyn R Bertozzi

Abstract readReview
In one paragraph

Review in Chemical communications (Cambridge, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 77 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Copper signalling: causes and consequences.Cell communication and signaling : CCS · 2018
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Systemic Fluorescence Imaging of Zebrafish Glycans with Bioorthogonal Chemistry.Angewandte Chemie (International ed. in English) · 2015
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

2 authors at 1 institution in 1 country.

Pamela V ChangDepartment of Chemistry, University of California, Berkeley, 94720, USA.
Carolyn R Bertozzi
University of California, Berkeley · US

Funding

Metabolic Engineering with Bioorthogonal Chemical ReportersR37GM058867 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BERTOZZI, CAROLYN · 2009 to 2018
$4.7M
Howard Hughes Medical InstituteNIGMS NIH HHS R37 GM058867
6 · The paper itself

Abstract

Imaging technologies developed in the early 20th century achieved contrast solely by relying on macroscopic and morphological differences between the tissues of interest and the surrounding tissues. Since then, there has been a movement toward imaging at the cellular and molecular level in order to visualize biological processes. This rapidly growing field is known as molecular imaging. In the last decade, many methodologies for imaging proteins have emerged. However, most of these approaches cannot be extended to imaging beyond the proteome. Here, we highlight some of the recently developed technologies that enable imaging of non-proteinaceous molecules in the cell: lipids, signalling molecules, inorganic ions, glycans, nucleic acids, small-molecule metabolites, and protein post-translational modifications such as phosphorylation and methylation.

Indexed as

Fluorescent DyesIndicators and ReagentsLuminescent ProteinsMass SpectrometryProtein Processing, Post-TranslationalProteomeProteomicsSpectrum Analysis, RamanFluorescent DyesIndicators and ReagentsLuminescent ProteinsProteome

Identifiers

PMID22801420
PMCPMC3660043
OpenAlexW2064611125

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.