Evidence map›Paper›PMID 34458400›Full record

ArticleBio-protocol2021

Efficient and Rapid Analysis of Polysomes and Ribosomal Subunits in Cells and Tissues Using Ribo Mega-SEC.

Harunori Yoshikawa, Ramasubramanian Sundaramoorthy, Daniel Mariyappa, Hao Jiang, Angus I Lamond

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
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.

Harunori YoshikawaCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Ramasubramanian SundaramoorthyCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Daniel MariyappaCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Hao JiangCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Angus I LamondCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
University of Dundee · GBTokushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polysome profile analysis is a popular method for separating polysomes and ribosomal subunits and is typically achieved using a sucrose density gradient (SDG). This has remained the gold standard method since ribosomes were first discovered; however, this method is time-consuming and requires multiple steps from making the gradient and long ultracentrifugation to collecting and analyzing the fractions. Each of these steps in the SDG workflow can introduce potential technical variation that affects the reproducibility of gradient profiles between samples. To address these limitations, we have developed a flexible, alternative approach for analyzing polysomes and ribosomal subunits based on size-exclusion chromatography (SEC), termed 'Ribo Mega-SEC.' In comparison with the SDG method, Ribo Mega-SEC involves a single step using ultra-high-performance liquid chromatography (uHPLC). The entire workflow, from injecting the lysate to collecting the fractions, can be performed in as little as 15 min, with high reproducibility. By varying the pore size of the SEC column, polysomes and ribosomal subunits can be separated using extracts from either human or mouse cultured cell lines or from tissue samples,

Indexed as

mRNA translationPolysomePolysome profileProtein synthesisRibosomeSize-exclusion chromatographySucrose density gradient

Identifiers

PMID34458400
PMCPMC8376616
OpenAlexW3189656476

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.