Evidence map›Paper›PMID 29681455›Full record

ArticleCell2018

The Structure of the Necrosome RIPK1-RIPK3 Core, a Human Hetero-Amyloid Signaling Complex.

Miguel Mompeán, Wenbo Li, Jixi Li, Ségolène Laage, Ansgar B Siemer, Gunes Bozkurt, Hao Wu, Ann E McDermott

Abstract read
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers.

0numbers the graph read from it
0cells of the map it votes in
218citing 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

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

218 citing papers in PubMed.

  1. Review
  2. Mechanisms, regulation and clinical relevance of necroptosis.Nature reviews. Molecular cell biology · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Structural and molecular principles of DAMP biology.Nature structural & molecular biology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. A functional amyloid scaffold shapes insect egg coats.bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

158 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Miguel MompeánDepartment of Chemistry, Columbia University, New York, NY 10027, USA; University of Castile-La Mancha, Instituto Regional de Investigación Científica Aplicada (IRICA), 13071, Ciudad Real, Spain.
Wenbo LiDepartment of Chemistry, Columbia University, New York, NY 10027, USA.
Jixi LiState Key Laboratory of Genetic Engineering, Department of Neurology, Huashan Hospital and School of Life Sciences, Collaborative Innovation Center of Genetics and Development, Fudan University, 200438 Shanghai, China; Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA 02115, USA.
Ségolène LaageDepartment of Chemistry, Columbia University, New York, NY 10027, USA.
Ansgar B SiemerDepartment of Chemistry, Columbia University, New York, NY 10027, USA.
Gunes BozkurtProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
Hao WuProgram in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: wu@crystal.harvard.edu.
Ann E McDermottDepartment of Chemistry, Columbia University, New York, NY 10027, USA. Electronic address: aem5@columbia.edu.

Funding

TR&D4: Integrated pipeline for data analysisP41GM118302 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI PALMER, ARTHUR G · 2017 to 2021
$8.5M
Structural Studies of TNF Receptor Associated Factors (TRAFs)R01AI045937 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI WU, HAO · 1999 to 2016
$5.9M
Structural & Functional Studies of TLR/IL-1R SignalingR37AI050872 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI WU, HAO · 2012 to 2021
$4.7M
SMOCs: Novel Signal Transduction Complexes as New Targets for Drug DiscoveryDP1HD087988 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI WU, HAO · 2015 to 2019
$4.4M
NIAID NIH HHS R01 AI045937NIAID NIH HHS R37 AI050872NICHD NIH HHS DP1 HD087988NIGMS NIH HHS P41 GM118302
6 · The paper itself

Abstract

The RIPK1-RIPK3 necrosome is an amyloid signaling complex that initiates TNF-induced necroptosis, serving in human immune defense, cancer, and neurodegenerative diseases. RIPK1 and RIPK3 associate through their RIP homotypic interaction motifs with consensus sequences IQIG (RIPK1) and VQVG (RIPK3). Using solid-state nuclear magnetic resonance, we determined the high-resolution structure of the RIPK1-RIPK3 core. RIPK1 and RIPK3 alternately stack (RIPK1, RIPK3, RIPK1, RIPK3, etc.) to form heterotypic β sheets. Two such β sheets bind together along a compact hydrophobic interface featuring an unusual ladder of alternating Ser (from RIPK1) and Cys (from RIPK3). The crystal structure of a four-residue RIPK3 consensus sequence is consistent with the architecture determined by NMR. The RIPK1-RIPK3 core is the first detailed structure of a hetero-amyloid and provides a potential explanation for the specificity of hetero- over homo-amyloid formation and a structural basis for understanding the mechanisms of signal transduction.

Indexed as

Amino Acid SequenceAmyloidCrystallography, X-RayHumansNuclear Magnetic Resonance, BiomolecularProtein Interaction Domains and MotifsProtein Structure, SecondaryReceptor-Interacting Protein Serine-Threonine KinasesSequence AlignmentAmyloidReceptor-Interacting Protein Serine-Threonine KinasesRIPK1 protein, humanRIPK3 protein, humanfunctional amyloidhetero-amyloidNMR structureRHIMRIPK1RIPK3signaling complexsolid state NMRSSNMRX-ray crystallography

Identifiers

PMID29681455
PMCPMC6002806

What OpenQuestion holds

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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.