Evidence map›Paper›PMID 33606205›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Linear Density Sucrose Gradients to Study Mitoribosomal Biogenesis in Tissue-Specific Knockout Mice.

Benedetta Ruzzenente, Metodi D Metodiev

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Common methods in mitochondrial research (Review).International journal of molecular medicine · 2022
    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

2 authors at 2 institutions in 1 country.

Benedetta RuzzenenteLaboratory for Genetics of Mitochondrial Disorders, INSERM U1163, Université Paris Descartes-Sorbonne Paris Cité, Institut Imagine, Paris, France.
Metodi D MetodievLaboratory for Genetics of Mitochondrial Disorders, INSERM U1163, Université Paris Descartes-Sorbonne Paris Cité, Institut Imagine, Paris, France. metodi.metodiev@inserm.fr.
Délégation Paris 5 · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Like bacterial and cytoplasmic ribosomes, mitoribosomes are large ribonucleoprotein complexes with molecular weights in the range of several million Daltons. Traditionally, studying the assembly of such high molecular weight complexes is done using ultracentrifugation through linear density gradients, which remains the method of choice due to its versatility and superior resolving power in the high molecular weight range. Here, we present a protocol for the analysis of mitoribosomal assembly in heart mitochondrial extracts using linear density sucrose gradients that we have previously employed to characterize the essential role of different mitochondrial proteins in mitoribosomal biogenesis. This protocol details in a stepwise manner a typical mitoribosomal assembly analysis starting with isolation of mitochondria, preparation and ultracentrifugation of the gradients, fractionation and ending with SDS-PAGE, and immunoblotting of the gradient fractions. Even though we provide an example with heart mitochondria, this protocol can be directly applied to virtually all mouse tissues, as well as cultured cells, with little to no modifications.

Indexed as

AnimalsHeartMiceMice, KnockoutMitochondriaMitochondrial ProteinsMitochondrial RibosomesOrganelle BiogenesisSucroseUltracentrifugationMitochondrial ProteinsSucrose55SHeart-specific knockout miceMitoribosomemt-LSUmt-SSUSedimentation analysisSucrose gradient

Identifiers

PMID33606205
OpenAlexW3131675440

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.