Evidence map›Paper›PMID 35616857›Full record

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

Cell Biology Methods to Study Recombinant Proteins in Seeds.

Elsa Arcalís, Emanuela Pedrazzini, Ulrike Hörmann-Dietrich, Alessandro Vitale, Eva Stoger

Abstract read
PubMed Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Elsa ArcalísDepartment of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria.
Emanuela PedrazziniIstituto di Biologia e Biotecnologia Agraria, CNR, Milan, Italy.
Ulrike Hörmann-DietrichDepartment of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria.
Alessandro VitaleIstituto di Biologia e Biotecnologia Agraria, CNR, Milan, Italy.
Eva StogerDepartment of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria. eva.stoeger@boku.ac.at.
BOKU University · ATIstituto di Biologia e Biotecnologia Agraria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seeds are an attractive platform for the production of recombinant proteins because of their excellent storage properties and their well-developed endomembrane system, which allows accumulation of the product within specialized storage organelles. Due to the presence of these additional organelles and the resulting complexity of intracellular protein trafficking it is interesting to investigate the transport and storage of a recombinant protein within seed tissues, its interactions with endogenous reserve proteins and its impact on the ultrastructure of the endomembrane system. Possible approaches include sequential extraction procedures, subcellular fractionation and 2D as well as 3D electron microscopy techniques such as electron tomography (ET) and serial block face scanning electron microscopy (SBF-SEM), which are described and discussed in this chapter.

Indexed as

Electron Microscope TomographySeedsImaging, Three-DimensionalMicroscopy, Electron, ScanningProtein TransportRecombinant ProteinsRecombinant ProteinsCereal seedsDensity gradient centrifugationElectron tomographyEndomembrane systemSerial block face scanning electron microscopy

Identifiers

PMID35616857
OpenAlexW4285030236

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.