Evidence map›Paper›PMID 34652126›Full record

ArticleACS chemical neuroscience2021

Small Molecule Improvement of Trafficking Defects in Models of Neurodegeneration.

A Katherine Hatstat, Michael D Pupi, Michaela C Reinhart, Dewey G McCafferty

Abstract read
In one paragraph

Article in ACS chemical neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

A Katherine HatstatDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.
Michael D PupiDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.
Michaela C ReinhartDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.
Dewey G McCaffertyDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0002-3253-9233

Funding

Pharmacological Sciences Training ProgramT32GM007105 · NIGMS · DUKE UNIVERSITY · PI KUHN, CYNTHIA M · 1985 to 2019
$9.0M
Chemical Biology of Ubiquitin- and Neddylation-Protein Ligases in NeurodegenerationR21NS112927 · NINDS · DUKE UNIVERSITY · PI MCCAFFERTY, DEWEY G · 2019 to 2019
$414k
NIGMS NIH HHS T32 GM007105NINDS NIH HHS R21 NS112927
6 · The paper itself

Abstract

Disrupted cellular trafficking and transport processes are hallmarks of many neurodegenerative disorders (NDs). Recently, efforts have been made toward developing and implementing experimental platforms to identify small molecules that may help restore normative trafficking functions. There have been a number of successes in targeting endomembrane trafficking with the identification of compounds that restore cell viability through rescue of protein transport and trafficking. Here, we describe some of the experimental platforms implemented for small molecule screening efforts for rescue of trafficking defects in neurodegeneration. A survey of phenotypically active small molecules identified to date is provided, including a summary of medicinal chemistry efforts and insights into putative targets and mechanisms of action. In particular, emphasis is put on ligands that demonstrate activity in more than one model of neurodegeneration as retention of phenotypic activity across ND models suggests conservation of biological targets across NDs.

Indexed as

EndosomesNeurodegenerative DiseasesBiological TransportHumansProtein TransportautophagyendosomeslysosomesMembrane traffickingneurodegenerationphenotypic activityprotein sortingsmall molecule screeningtrafficking defects

Identifiers

PMID34652126
PMCPMC9754116

What OpenQuestion holds

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Registered trials

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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.