Evidence map›Paper›PMID 23962486›Full record

ReviewCurrent opinion in structural biology2013

Correlative cryo-electron tomography and optical microscopy of cells.

Peijun Zhang

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
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  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Biological Applications at the Cutting Edge of Cryo-Electron Microscopy.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2018
    Review
  14. Article
  15. Review
  16. Article
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  19. Review
  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

1 author.

Peijun ZhangDepartment of Structural Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, USA. Electronic address: pez7@pitt.edu.

Funding

X-Ray Core P50GM082251 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CALERO, GUILLERMO ALBERTO · 2007 to 2018
$48.1M
Structure and function of membrane receptor signaling complex in bacterial chemotR01GM085043 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ZHANG, PEIJUN · 2009 to 2013
$1.4M
NIGMS NIH HHS GM082251NIGMS NIH HHS GM085043NIGMS NIH HHS P50 GM082251NIGMS NIH HHS R01 GM085043
6 · The paper itself

Abstract

The biological processes occurring in a cell are complex and dynamic, and to achieve a comprehensive understanding of the molecular mechanisms underlying these processes, both temporal and spatial information is required. While cryo-electron tomography (cryoET) provides three-dimensional (3D) still pictures of near-native state cells and organelles at molecular resolution, fluorescence light microscopy (fLM) offers movies of dynamic cellular processes in living cells. Combining and integrating these two commonly used imaging modalities (termed correlative microscopy) provides a powerful means to not only expand the imaging scale and resolution but also to complement the dynamic information available from optical microscopy with the molecular-level, 3D ultrastructure detail provided by cryoET. As such, a correlative approach performed on a given specimen can provide high resolution snapshots of dynamic cellular events. In this article, I review recent advances in correlative light microscopy and cryoET and discuss major findings made available by applying this method.

Indexed as

CellsCryoelectron MicroscopyElectron Microscope TomographyMicroscopy, Fluorescence

Identifiers

PMID23962486
PMCPMC3812453

What OpenQuestion holds

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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.