Evidence map›Paper›PMID 36590917›Full record

ArticleFrontiers in molecular neuroscience2022

The yeast molecular chaperone, Hsp104, influences transthyretin aggregate formation.

Adam S Knier, Emily E Davis, Hannah E Buchholz, Jane E Dorweiler, Lauryn E Flannagan, Anita L Manogaran

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Adam S KnierDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Emily E DavisDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Hannah E BuchholzDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Jane E DorweilerDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Lauryn E FlannaganDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Anita L ManogaranDepartment of Biological Sciences, Marquette University, Milwaukee, WI, United States.
Marquette University · US

Funding

The role of proteostasis machinery in yeast models of Transthyretin amyloidosisR15GM131365 · NIGMS · MARQUETTE UNIVERSITY · PI MANOGARAN, ANITA L. · 2019 to 2019
$459k
NIGMS NIH HHS R15 GM131365
6 · The paper itself

Abstract

Patients with the fatal disorder Transthyretin Amyloidosis (ATTR) experience polyneuropathy through the progressive destruction of peripheral nervous tissue. In these patients, the transthyretin (TTR) protein dissociates from its functional tetrameric structure, misfolds, and aggregates into extracellular amyloid deposits that are associated with disease progression. These aggregates form large fibrillar structures as well as shorter oligomeric aggregates that are suspected to be cytotoxic. Several studies have shown that these extracellular TTR aggregates enter the cell and accumulate intracellularly, which is associated with increased proteostasis response. However, there are limited experimental models to study how proteostasis influences internalized TTR aggregates. Here, we use a humanized yeast system to recapitulate intracellular TTR aggregating protein

Indexed as

agingamyloidHsp104molecular chaperonepolyneuropathyprotein aggregationtransthyretintransthyretin amyloidosis

Identifiers

PMID36590917
PMCPMC9802906
OpenAlexW4313272552

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.