The impact of PARPs and ADP-ribosylation on inflammation and host–pathogen interactions Article Swipe
Anthony R. Fehr
,
Sasha A. Singh
,
Catherine M. Kerr
,
Shin Mukai
,
Hideyuki Higashi
,
Masanori Aikawa
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/gad.334425.119
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/gad.334425.119
Poly-adenosine diphosphate-ribose polymerases (PARPs) promote ADP-ribosylation, a highly conserved, fundamental posttranslational modification (PTM). PARP catalytic domains transfer the ADP-ribose moiety from NAD + to amino acid residues of target proteins, leading to mono- or poly-ADP-ribosylation (MARylation or PARylation). This PTM regulates various key biological and pathological processes. In this review, we focus on the roles of the PARP family members in inflammation and host–pathogen interactions. Here we give an overview the current understanding of the mechanisms by which PARPs promote or suppress proinflammatory activation of macrophages, and various roles PARPs play in virus infections. We also demonstrate how innovative technologies, such as proteomics and systems biology, help to advance this research field and describe unanswered questions.
Related Topics
Concepts
Biology
Poly ADP ribose polymerase
Computational biology
ADP-ribosylation
Proteomics
Proinflammatory cytokine
NAD+ kinase
Pathogen
Polymerase
Inflammation
Cell biology
Genetics
Biochemistry
Enzyme
Immunology
Gene
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1101/gad.334425.119
- http://genesdev.cshlp.org/content/34/5-6/341.full.pdf
- OA Status
- diamond
- Cited By
- 213
- References
- 179
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3005531462
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3005531462Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/gad.334425.119Digital Object Identifier
- Title
-
The impact of PARPs and ADP-ribosylation on inflammation and host–pathogen interactionsWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-02-06Full publication date if available
- Authors
-
Anthony R. Fehr, Sasha A. Singh, Catherine M. Kerr, Shin Mukai, Hideyuki Higashi, Masanori AikawaList of authors in order
- Landing page
-
https://doi.org/10.1101/gad.334425.119Publisher landing page
- PDF URL
-
https://genesdev.cshlp.org/content/34/5-6/341.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://genesdev.cshlp.org/content/34/5-6/341.full.pdfDirect OA link when available
- Concepts
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Biology, Poly ADP ribose polymerase, Computational biology, ADP-ribosylation, Proteomics, Proinflammatory cytokine, NAD+ kinase, Pathogen, Polymerase, Inflammation, Cell biology, Genetics, Biochemistry, Enzyme, Immunology, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
213Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 29, 2024: 28, 2023: 40, 2022: 39, 2021: 48Per-year citation counts (last 5 years)
- References (count)
-
179Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.virus | 92 |
| abstract_inverted_index.which | 77 |
| abstract_inverted_index.(PTM). | 12 |
| abstract_inverted_index.family | 58 |
| abstract_inverted_index.highly | 7 |
| abstract_inverted_index.moiety | 19 |
| abstract_inverted_index.target | 28 |
| abstract_inverted_index.(PARPs) | 3 |
| abstract_inverted_index.advance | 108 |
| abstract_inverted_index.current | 71 |
| abstract_inverted_index.domains | 15 |
| abstract_inverted_index.leading | 30 |
| abstract_inverted_index.members | 59 |
| abstract_inverted_index.promote | 4, 79 |
| abstract_inverted_index.review, | 49 |
| abstract_inverted_index.systems | 104 |
| abstract_inverted_index.various | 41, 87 |
| abstract_inverted_index.biology, | 105 |
| abstract_inverted_index.describe | 113 |
| abstract_inverted_index.overview | 69 |
| abstract_inverted_index.research | 110 |
| abstract_inverted_index.residues | 26 |
| abstract_inverted_index.suppress | 81 |
| abstract_inverted_index.transfer | 16 |
| abstract_inverted_index.catalytic | 14 |
| abstract_inverted_index.proteins, | 29 |
| abstract_inverted_index.regulates | 40 |
| abstract_inverted_index.ADP-ribose | 18 |
| abstract_inverted_index.activation | 83 |
| abstract_inverted_index.biological | 43 |
| abstract_inverted_index.conserved, | 8 |
| abstract_inverted_index.innovative | 98 |
| abstract_inverted_index.mechanisms | 75 |
| abstract_inverted_index.processes. | 46 |
| abstract_inverted_index.proteomics | 102 |
| abstract_inverted_index.questions. | 115 |
| abstract_inverted_index.unanswered | 114 |
| abstract_inverted_index.(MARylation | 35 |
| abstract_inverted_index.demonstrate | 96 |
| abstract_inverted_index.fundamental | 9 |
| abstract_inverted_index.infections. | 93 |
| abstract_inverted_index.polymerases | 2 |
| abstract_inverted_index.PARylation). | 37 |
| abstract_inverted_index.inflammation | 61 |
| abstract_inverted_index.macrophages, | 85 |
| abstract_inverted_index.modification | 11 |
| abstract_inverted_index.pathological | 45 |
| abstract_inverted_index.interactions. | 64 |
| abstract_inverted_index.technologies, | 99 |
| abstract_inverted_index.understanding | 72 |
| abstract_inverted_index.Poly-adenosine | 0 |
| abstract_inverted_index.host–pathogen | 63 |
| abstract_inverted_index.proinflammatory | 82 |
| abstract_inverted_index.ADP-ribosylation, | 5 |
| abstract_inverted_index.posttranslational | 10 |
| abstract_inverted_index.diphosphate-ribose | 1 |
| abstract_inverted_index.poly-ADP-ribosylation | 34 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.99132395 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |