Evidence map›Paper›PMID 38474091›Full record

ArticleInternational journal of molecular sciences2024

UBA6 Inhibition Accelerates Lysosomal TRPML1 Depletion and Exosomal Secretion in Lung Cancer Cells.

Dongun Lee, Peter Chang-Whan Lee, Jeong Hee Hong

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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
0.8field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

3 authors at 2 institutions in 1 country.

Dongun LeeDepartment of Health Sciences and Technology, Lee Gil Ya Cancer and Diabetes Institute, GAIHST, Gachon University, 155 Getbeolro, Yeonsu-gu, Incheon 21999, Republic of Korea.ORCID 0000-0003-1990-2533
Peter Chang-Whan LeeDepartment of Biomedical Sciences, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea.ORCID 0000-0002-2320-6365
Jeong Hee HongDepartment of Health Sciences and Technology, Lee Gil Ya Cancer and Diabetes Institute, GAIHST, Gachon University, 155 Getbeolro, Yeonsu-gu, Incheon 21999, Republic of Korea.ORCID 0000-0003-3623-2201
Gachon University · KRUlsan College · KR

Funding

National Research Foundation of Korea (NRF) grant funded by the Korean government 2022R1A2C1003890: JHHthe Basic Research Program through the NRF funded by MSIT RS-2023-00208173 :PC-WL
6 · The paper itself

Abstract

Ubiquitin-like modifier-activating enzyme 6 (UBA6) is a member of the E1 enzyme family, which initiates the ubiquitin-proteasome system (UPS). The UPS plays critical roles not only in protein degradation but also in various cellular functions, including neuronal signaling, myocardial remodeling, immune cell differentiation, and cancer development. However, the specific role of UBA6 in cellular functions is not fully elucidated in comparison with the roles of the UPS. It has been known that the E1 enzyme is associated with the motility of cancer cells. In this study, we verified the physiological roles of UBA6 in lung cancer cells through gene-silencing siRNA targeting

Indexed as

Lung NeoplasmsHumansLysosomesMultivesicular BodiesProteasome Endopeptidase ComplexSignal TransductionTransient Receptor Potential ChannelsUbiquitinUbiquitin-Activating EnzymesMCOLN1 protein, humanProteasome Endopeptidase ComplexTransient Receptor Potential ChannelsUBA6 protein, humanUbiquitinUbiquitin-Activating Enzymesendosomal traffickingexosomelung cancermultivesicular bodyUBA6

Identifiers

PMID38474091
PMCPMC10932338
OpenAlexW4392385139

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.