Evidence map›Paper›PMID 33475084›Full record

ArticleeLife2021

Chemical genetics and proteome-wide site mapping reveal cysteine MARylation by PARP-7 on immune-relevant protein targets.

Kelsie M Rodriguez, Sara C Buch-Larsen, Ilsa T Kirby, Ivan Rodriguez Siordia, David Hutin, Marit Rasmussen, Denis M Grant, Larry L David, Jason Matthews, Michael L Nielsen and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 80 citations in OpenAlex.

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  16. Unleashing viral mimicry: A combinatorial strategy to enhance the efficacy of PARP7 inhibitors.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    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

11 authors at 4 institutions in 4 countries.

Kelsie M RodriguezDepartment of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, United States.ORCID 0000-0002-0821-6717
Sara C Buch-LarsenProteomics program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-6250-5467
Ilsa T KirbyDepartment of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, United States.
Ivan Rodriguez SiordiaDepartment of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, United States.
David HutinDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, Canada.
Marit RasmussenDepartment of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Denis M GrantDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, Canada.
Larry L DavidDepartment of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, United States.
Jason MatthewsDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, Canada.
Michael L NielsenProteomics program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Michael S CohenDepartment of Chemical Physiology and Biochemistry, Oregon Health & Science University, Portland, United States.ORCID 0000-0002-7636-4156
Oregon Health & Science University · USUniversity of Copenhagen · DKUniversity of Oslo · NOUniversity of Toronto · CA

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TED S ACOTT · 1995 to 2026
$19.4M
Decoding protein MARylation networks in astrocytes using chemical biology approachesR01NS088629 · NINDS · OREGON HEALTH & SCIENCE UNIVERSITY · PI COHEN, MICHAEL S · 2014 to 2024
$4.2M
LTQ Orbitrap VelosS10OD012246 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVID, LARRY L · 2012 to 2012
$854k
NCI NIH HHS P30 CA069533NEI NIH HHS P30 EY010572NIH HHS S10 OD012246NINDS NIH HHS R01 NS088629
6 · The paper itself

Abstract

Poly(ADP-ribose) polymerase 7 (PARP-7) has emerged as a critically important member of a large enzyme family that catalyzes ADP-ribosylation in mammalian cells. PARP-7 is a critical regulator of the innate immune response. What remains unclear is the mechanism by which PARP-7 regulates this process, namely because the protein targets of PARP-7 mono-ADP-ribosylation (MARylation) are largely unknown. Here, we combine chemical genetics, proximity labeling, and proteome-wide amino acid ADP-ribosylation site profiling for identifying the direct targets and sites of PARP-7-mediated MARylation in a cellular context. We found that the inactive PARP family member, PARP-13-a critical regulator of the antiviral innate immune response-is a major target of PARP-7. PARP-13 is preferentially MARylated on cysteine residues in its RNA binding zinc finger domain. Proteome-wide ADP-ribosylation analysis reveals cysteine as a major MARylation acceptor of PARP-7. This study provides insight into PARP-7 targeting and MARylation site preference.

Indexed as

ADP-RibosylationChromosome MappingCysteineHumansNucleoside Transport ProteinsProteomeRNA-Binding ProteinsCysteineNucleoside Transport ProteinsProteomeRNA-Binding ProteinsTiPARP protein, humanZC3HAV1 protein, humanADP-ribosylationbiochemistrychemical biologychemical geneticsclick chemistryhumanPARPsproteomicsproximity labeling

Identifiers

PMID33475084
PMCPMC7880690
OpenAlexW3124745349

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.