Evidence map›Paper›PMID 35402505›Full record

ArticleFrontiers in molecular biosciences2022

A Nutrient-Based Cellular Model to Characterize Acetylation-Dependent Protein-Protein Interactions.

Jérémy Loehr, Pata-Eting Kougnassoukou Tchara, Kevin Gonthier, Chahinez Noufi, Naomie Linteau, Étienne Audet-Walsh, Jean-Philippe Lambert

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. 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
–field-weighted citation impact
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

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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.

  1. Review
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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

7 authors.

Jérémy LoehrDepartment of Molecular Medicine and Cancer Research Center, Université Laval, Quebec, QC, Canada.
Pata-Eting Kougnassoukou TcharaDepartment of Molecular Medicine and Cancer Research Center, Université Laval, Quebec, QC, Canada.
Kevin GonthierDepartment of Molecular Medicine and Cancer Research Center, Université Laval, Quebec, QC, Canada.
Chahinez NoufiDepartment of Molecular Medicine and Cancer Research Center, Université Laval, Quebec, QC, Canada.
Naomie LinteauDepartment of Molecular Medicine and Cancer Research Center, Université Laval, Quebec, QC, Canada.
Étienne Audet-WalshDepartment of Molecular Medicine and Cancer Research Center, Université Laval, Quebec, QC, Canada.
Jean-Philippe LambertDepartment of Molecular Medicine and Cancer Research Center, Université Laval, Quebec, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular homeostasis requires the orderly expression of thousands of transcripts. Gene expression is regulated by numerous proteins that recognize post-translational modifications-in particular, the acetylation of lysine residues (Kac) on histones. In addition to affecting the general condensation state of the chromatin, acetylated histones act as anchor points for bromodomain (BRD)-containing adapter proteins. BRDs are the primary Kac reader domains in humans, and proteins containing them act as chromatin scaffolds that organize large networks of interactions to regulate transcription. To characterize BRD-dependent interaction networks, we established cell lines in which histone acetylation is dependent on acetate supplementation. To do this, we used genome editing to knock out ATP citrate lyase (ACLY), the enzyme responsible for converting citrate to oxaloacetate and acetyl-CoA in the cytoplasm and nucleus. In our cellular model, removing acetate from the culture medium resulted in the rapid catabolism of acetylated histones to restore the nucleocytoplasmic acetyl-CoA pool. Here we report the use of our new model in functional proteomics studies to characterize BRD-dependent interaction networks on the chromatin.

Indexed as

acetateacetyl-CoAATP citrate lyasebromodomainchromatinfunctional proteomicsinteractome mappinglysine acetylation

Identifiers

PMID35402505
PMCPMC8984119

What OpenQuestion holds

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LicenceCC BY
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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.