Evidence map›Paper›PMID 30361061›Full record

ArticleTrends in biochemical sciences2018

The mTOR Independent Function of Tsc1 and FNIPs.

Rebecca A Sager, Mark R Woodford, Mehdi Mollapour

Abstract read
In one paragraph

Article in Trends in biochemical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 16 citations in OpenAlex.

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  14. The multiple facets of the Hsp90 machine.Nature structural & molecular biology · 2019
    Article
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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

3 authors at 1 institution in 1 country.

Rebecca A SagerDepartment of Urology, SUNY Upstate Medical University, Syracuse, NY 13210, USA; Upstate Cancer Center, SUNY Upstate Medical University, Syracuse, NY 13210, USA; Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, NY 13210, USA; These authors contributed equally to this work.
Mark R WoodfordDepartment of Urology, SUNY Upstate Medical University, Syracuse, NY 13210, USA; Upstate Cancer Center, SUNY Upstate Medical University, Syracuse, NY 13210, USA; Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, NY 13210, USA; These authors contributed equally to this work.
Mehdi MollapourDepartment of Urology, SUNY Upstate Medical University, Syracuse, NY 13210, USA; Upstate Cancer Center, SUNY Upstate Medical University, Syracuse, NY 13210, USA; Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, NY 13210, USA. Electronic address: mollapom@upstate.edu.
SUNY Upstate Medical University · US

Funding

Crosstalk between post-translational regulations of the FNIP co-chaperones and their impact on Hsp90 chaperone function and drug bindingR01GM124256 · NIGMS · UPSTATE MEDICAL UNIVERSITY · PI MOLLAPOUR, MEHDI · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM124256
6 · The paper itself

Abstract

New roles for Tsc1 and FNIP1/2 as regulators of the molecular chaperone Hsp90 were recently identified, demonstrating a broader cellular impact outside of AMPK-mTOR signaling. In studying the function of these proteins we must take a holistic view of the cell, instead of maintaining our focus on a single pathway.

Indexed as

AnimalsCarrier ProteinsHumansTOR Serine-Threonine KinasesTuberous SclerosisTuberous Sclerosis Complex 1 ProteinCarrier ProteinsTOR Serine-Threonine KinasesTuberous Sclerosis Complex 1 ProteinBirt-Hogg-Dubé syndromeco-chaperoneHsp90mTORtuberous sclerosis complex

Identifiers

PMID30361061
PMCPMC6324182
OpenAlexW2897342320

What OpenQuestion holds

Textmetadata
LicenceTDM
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.