Evidence map›Paper›PMID 24396149›Full record

ReviewDisease models & mechanisms2014

Mechanisms of protein-folding diseases at a glance.

Julie S Valastyan, Susan Lindquist

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

134 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Genesis and regulation of C-terminal cyclic imides from protein damage.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. Annealed fractional Lévy-Itō diffusion models for protein generation.Computational and structural biotechnology journal · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

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

2 authors.

Julie S ValastyanWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Susan Lindquist

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

For a protein to function appropriately, it must first achieve its proper conformation and location within the crowded environment inside the cell. Multiple chaperone systems are required to fold proteins correctly. In addition, degradation pathways participate by destroying improperly folded proteins. The intricacy of this multisystem process provides many opportunities for error. Furthermore, mutations cause misfolded, nonfunctional forms of proteins to accumulate. As a result, many pathological conditions are fundamentally rooted in the protein-folding problem that all cells must solve to maintain their function and integrity. Here, to illustrate the breadth of this phenomenon, we describe five examples of protein-misfolding events that can lead to disease: improper degradation, mislocalization, dominant-negative mutations, structural alterations that establish novel toxic functions, and amyloid accumulation. In each case, we will highlight current therapeutic options for battling such diseases.

Indexed as

Protein FoldingAmyloidCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDrug DiscoveryGaucher DiseaseGenes, DominantHumansMolecular ChaperonesMutationNeurodegenerative DiseasesProtein ConformationProtein DenaturationProteostasis DeficienciesAmyloidCystic Fibrosis Transmembrane Conductance RegulatorMolecular ChaperonesDiseaseMisfoldingProteinYeast

Identifiers

PMID24396149
PMCPMC3882043

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.