Evidence map›Paper›PMID 35412253›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

TEM Imaging of Membrane Choreography During Mitosis of Drosophila Tissue Culture Cells.

Anton Strunov, Lidiya V Boldyreva, Alexey V Pindyurin, Maurizio Gatti, Elena Kiseleva

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 3 countries.

Anton StrunovInstitute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk, Russia.
Lidiya V BoldyrevaInstitute of Molecular and Cellular Biology (IMCB), SB RAS, Novosibirsk, Russia.
Alexey V PindyurinInstitute of Molecular and Cellular Biology (IMCB), SB RAS, Novosibirsk, Russia.
Maurizio GattiIBPM CNR and Department of Biology and Biotechnology, Sapienza University of Rome, Rome, Italy.
Elena KiselevaInstitute of Cytology and Genetics (ICG), Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk, Russia. elka@bionet.nsc.ru.
Institute of Molecular and Cell Biology · RUSiberian Branch of the Russian Academy of Sciences · RUSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schneider 2 (S2) cells are one of the most widely used Drosophila cell lines, and are specifically suitable for genetic dissection of biological processes by RNA interference. We have recently developed a method that allows an easy preparation of samples for transmission electron microscopy (TEM) analysis of S2 cells. This method is based on the collection and pelleting of the cells in test tubes, followed by fixation and staining of pellets in the same tubes. Pellets are then embedded in resin and used to prepare ultrathin sections for TEM observation. Our Method allows clear visualization of the complex membrane transformations that characterize mitosis in S2 cells. It also allows precise analysis of microtubule behavior during the different mitotic phases. Although the method was specifically developed for S2 cells, our preliminary results indicate that it can be successfully applied to other types of Drosophila tissue culture cells.

Indexed as

DrosophilaDrosophila ProteinsAnimalsMicroscopy, Electron, TransmissionMicrotubulesMitosisDrosophila ProteinsCultureDrosophilaMitosisTransmission electron microscopy

Identifiers

PMID35412253
OpenAlexW4225748506

What OpenQuestion holds

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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.