Evidence map›Paper›PMID 36370271›Full record

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

Comparative SUMO Proteome Analysis Using Stable Isotopic Labeling by Amino Acids (SILAC).

Georgia Chachami, Sina-Victoria Barysch

Abstract 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 authors at 2 institutions in 2 countries.

Georgia ChachamiLaboratory of Biochemistry, Faculty of Medicine, University of Thessaly, Larissa, Greece. ghah@med.uth.gr.
Sina-Victoria BaryschZentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, Heidelberg University, Heidelberg, Germany.
Heidelberg University · DEUniversity of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sumoylation is a dynamic protein posttranslational modification that contributes to many intracellular pathways, including nucleocytoplasmic transport, DNA repair, transcriptional control, and chromatin remodeling. Interestingly, various stress conditions such as heat shock, oxidative stress, and ischemia promote global changes in sumoylation in different cells or tissues. However, due to limitations in either abundance or steady state sumoylation level, it is often difficult to detect differences in the sumoylation of a protein under different conditions simply by immunoblotting. In the last decade, the enrichment of endogenous sumoylated proteins has been greatly improved using immunoprecipitation techniques. Combining these methods with quantitative methodologies such as Stable Isotopic Labeling with Amino Acids in Cell culture (SILAC), it is feasible to identify the sumoylation status of a wide range of proteins and detect changes in SUMO conjugation under different experimental conditions. In this chapter, we describe a method that allows comparison of the sumoylated proteome in HeLa cells between two conditions, using differential labeling by light or heavy amino acids (SILAC), isolation of endogenous sumoylated (SUMO1 and SUMO2/3) proteins with immunoprecipitation and MS analysis. We also discuss the conceptual design and the considerations before performing such an experiment.

Indexed as

ProteomeSmall Ubiquitin-Related Modifier ProteinsAmino AcidsHeLa CellsHumansIsotope LabelingSumoylationAmino AcidsProteomeSmall Ubiquitin-Related Modifier ProteinsPost-translational modificationProteomicsSILACSUMOSumoylation

Identifiers

PMID36370271
OpenAlexW4309082721

What Socratic 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 Socratic graph.