Evidence map›Paper›PMID 36952175›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Analysis of Yeast Peroxisomes via Spatial Proteomics.

Hirak Das, Alexandros Zografakis, Silke Oeljeklaus, Bettina Warscheid

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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
–field-weighted citation impact, top 92% 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, 0 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

4 authors at 2 institutions in 1 country.

Hirak DasBiochemistry II, Theodor Boveri-Institute, University of Würzburg, Würzburg, Germany.
Alexandros ZografakisBiochemistry II, Theodor Boveri-Institute, University of Würzburg, Würzburg, Germany.
Silke OeljeklausBiochemistry II, Theodor Boveri-Institute, University of Würzburg, Würzburg, Germany. silke.oeljeklaus@uni-wuerzburg.de.
Bettina WarscheidBiochemistry II, Theodor Boveri-Institute, University of Würzburg, Würzburg, Germany. bettina.warscheid@uni-wuerzburg.de.
University of Würzburg · DEUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peroxisomes are ubiquitous organelles with essential functions in numerous cellular processes such as lipid metabolism, detoxification of reactive oxygen species, and signaling. Knowledge of the peroxisomal proteome including multi-localized proteins and, most importantly, changes of its composition induced by altering cellular conditions or impaired peroxisome biogenesis and function is of paramount importance for a holistic view on peroxisomes and their diverse functions in a cellular context. In this chapter, we provide a spatial proteomics protocol specifically tailored to the analysis of the peroxisomal proteome of baker's yeast that enables the definition of the peroxisomal proteome under distinct conditions and to monitor dynamic changes of the proteome including the relocation of individual proteins to a different cellular compartment. The protocol comprises subcellular fractionation by differential centrifugation followed by Nycodenz density gradient centrifugation of a crude peroxisomal fraction, quantitative mass spectrometric measurements of subcellular and density gradient fractions, and advanced computational data analysis, resulting in the establishment of organellar maps on a global scale.

Indexed as

PeroxisomesSaccharomyces cerevisiaeCell FractionationProteomeProteomicsProteomeDensity gradient centrifugationDifferential centrifugationLabel-free quantificationMass spectrometryOrganellar mappingPeroxisome purificationProtein localizationSaccharomyces cerevisiaeSpatial proteomics

Identifiers

PMID36952175
OpenAlexW4360600060

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.