Evidence map›Paper›PMID 36453556›Full record

ArticleProteomics2023

Impact of Asp/Glu-ADP-ribosylation on protein-protein interaction and protein function.

Jimin Pei, Jing Zhang, Xu-Dong Wang, Chiho Kim, Yonghao Yu, Qian Cong

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

6 authors at 2 institutions in 1 country.

Jimin PeiEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jing ZhangEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Xu-Dong WangDepartment of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA.
Chiho KimDepartment of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA.
Yonghao YuDepartment of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA.
Qian CongEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-8909-0414
Columbia University · USSouthwestern Medical Center · US

Funding

Posttranslational Regulation of Cell Growth and Stress ResponsesR35GM134883 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI YU, YONGHAO · 2020 to 2024
$2.7M
A Chemical Footprinting Approach towards Poly-ADP-Ribosylation-regulated Biomolecular CondensationR01NS122533 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI Yonghao Yu · 2022 to 2026
$2.0M
Site-Specific Antibody for Protein Poly-ADP-RibosylationR21CA261018 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI YU, YONGHAO · 2021 to 2021
$421k
NCI NIH HHS R21 CA261018NIGMS NIH HHS R35 GM134883NINDS NIH HHS R01 NS122533
6 · The paper itself

Abstract

PARylation plays critical role in regulating multiple cellular processes such as DNA damage response and repair, transcription, RNA processing, and stress response. More than 300 human proteins have been found to be modified by PARylation on acidic residues, that is, Asp (D) and Glu (E). We used the deep-learning tool AlphaFold to predict protein-protein interactions (PPIs) and their interfaces for these proteins based on coevolution signals from joint multiple sequence alignments (MSAs). AlphaFold predicted 260 confident PPIs involving PARylated proteins, and about one quarter of these PPIs have D/E-PARylation sites in their predicted PPI interfaces. AlphaFold predictions offer novel insights into the mechanisms of PARylation regulations by providing structural details of the PPI interfaces. D/E-PARylation sites have a preference to occur in coil regions and disordered regions, and PPI interfaces containing D/E-PARylation sites tend to occur between short linear sequence motifs in disordered regions and globular domains. The hub protein PCNA is predicted to interact with more than 20 proteins via the common PIP box motif and the structurally variable flanking regions. D/E-PARylation sites were found in the interfaces of key components of the RNA transcription and export complex, the SF3a spliceosome complex, and H/ACA and C/D small nucleolar ribonucleoprotein complexes, suggesting that systematic PARylation have a profound effect in regulating multiple RNA-related processes such as RNA nuclear export, splicing, and modification. Finally, PARylation of SUMO2 could modulate its interaction with CHAF1A, thereby representing a potential mechanism for the cross-talk between PARylation and SUMOylation in regulation of chromatin remodeling.

Indexed as

ADP-RibosylationPoly ADP RibosylationChromatin Assembly and DisassemblyHumansRNATranscription FactorsRNATranscription FactorscoevolutionD/E-PARylationinteraction interfaceprotein-protein interaction

Identifiers

PMID36453556
PMCPMC10362910
OpenAlexW4310572902

What OpenQuestion holds

Textmetadata
LicenceTDM
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.