Evidence map›Paper›PMID 31907446›Full record

ArticleNature methods2020

Template-free detection and classification of membrane-bound complexes in cryo-electron tomograms.

Antonio Martinez-Sanchez, Zdravko Kochovski, Ulrike Laugks, Johannes Meyer Zum Alten Borgloh, Saikat Chakraborty, Stefan Pfeffer, Wolfgang Baumeister, Vladan Lučić

Erratum issuedAbstract read
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In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
8.6field-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

45 citing papers in PubMed, 92 citations in OpenAlex.

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  20. Charting the molecular landscape of the cell.Structure (London, England : 1993) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Antonio Martinez-SanchezMax Planck Institute of Biochemistry, Martinsried, Germany. martinez@biochem.mpg.de.ORCID http://orcid.org/0000-0002-5865-2138
Zdravko KochovskiMax Planck Institute of Biochemistry, Martinsried, Germany.
Ulrike LaugksMax Planck Institute of Biochemistry, Martinsried, Germany.
Johannes Meyer Zum Alten BorglohMax Planck Institute of Biochemistry, Martinsried, Germany.
Saikat ChakrabortyMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0002-6307-8441
Stefan PfefferMax Planck Institute of Biochemistry, Martinsried, Germany.
Wolfgang BaumeisterMax Planck Institute of Biochemistry, Martinsried, Germany.
Vladan LučićMax Planck Institute of Biochemistry, Martinsried, Germany. vladan@biochem.mpg.de.ORCID http://orcid.org/0000-0003-3698-7436
Max Planck Institute of Biochemistry · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With faithful sample preservation and direct imaging of fully hydrated biological material, cryo-electron tomography provides an accurate representation of molecular architecture of cells. However, detection and precise localization of macromolecular complexes within cellular environments is aggravated by the presence of many molecular species and molecular crowding. We developed a template-free image processing procedure for accurate tracing of complex networks of densities in cryo-electron tomograms, a comprehensive and automated detection of heterogeneous membrane-bound complexes and an unsupervised classification (PySeg). Applications to intact cells and isolated endoplasmic reticulum (ER) allowed us to detect and classify small protein complexes. This classification provided sufficiently homogeneous particle sets and initial references to allow subsequent de novo subtomogram averaging. Spatial distribution analysis showed that ER complexes have different localization patterns forming nanodomains. Therefore, this procedure allows a comprehensive detection and structural analysis of complexes in situ.

Indexed as

AnimalsCluster AnalysisCryoelectron MicroscopyMaleMiceRatsRats, WistarReproducibility of Results

Identifiers

PMID31907446
OpenAlexW2997491371

What OpenQuestion holds

Textmetadata
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.