Evidence map›Paper›PMID 37873234›Full record

ArticlebioRxiv : the preprint server for biology2023

ASPSCR1-TFE3 reprograms transcription by organizing enhancer loops around hexameric VCP/p97.

Amir Pozner, Shiv Prakash Verma, Li Li, Shuxin Wang, Jared J Barrott, Mary L Nelson, Jamie S E Yu, Gian Luca Negri, Shane Colborne, Christopher S Hughes and 28 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors at 8 institutions in 3 countries.

Amir Pozner
Shiv Prakash Verma
Li Li
Shuxin Wang
Jared J Barrott
Mary L Nelson
Jamie S E Yu
Gian Luca Negri
Shane Colborne
Christopher S Hughes
Ju-Fen Zhu
Sydney L Lambert
Lara S Carroll
Kyllie Smith-Fry
Michael G Stewart
Sarmishta Kannan
Bodrie Jensen
Katelyn L Mortenson
Cini John
Saif Sikdar
Hongrui Liu
Ngoc Ha Dang
Jennifer Bourdage
Jinxiu Li
Jeffery M Vahrenkamp
John S Groundland
Rosanna Wustrack
Donna L Senger
Franz J Zemp
Douglas J Mahoney
Jason Gertz
Xiaoyang Zhang
Alexander J Lazar
Martin Hirst
Gregg B Morin
Torsten O Nielsen
Peter S Shen
Kevin B Jones
Huntsman Cancer Institute · USCanada's Michael Smith Genome Sciences Centre · CAUniversity of Calgary · CAUniversity of Utah · USThe University of Texas MD Anderson Cancer Center · USUniversity of British Columbia · CAUniversity of California, San Francisco · USUpsher-Smith Laboratories (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The t(X,17) chromosomal translocation, generating the ASPSCR1-TFE3 fusion oncoprotein, is the singular genetic driver of alveolar soft part sarcoma (ASPS) and some Xp11-rearranged renal cell carcinomas (RCC), frustrating efforts to identify therapeutic targets for these rare cancers. Proteomic analysis showed that VCP/p97, an AAA+ ATPase with known segregase function, was strongly enriched in co-immunoprecipitated nuclear complexes with ASPSCR1-TFE3. We demonstrate that VCP is a likely obligate co-factor of ASPSCR1-TFE3, one of the only such fusion oncoprotein co-factors identified in cancer biology. Specifically, VCP co-distributed with ASPSCR1-TFE3 across chromatin in association with enhancers genome-wide. VCP presence, its hexameric assembly, and its enzymatic function orchestrated the oncogenic transcriptional signature of ASPSCR1-TFE3, by facilitating assembly of higher-order chromatin conformation structures as demonstrated by HiChIP. Finally, ASPSCR1-TFE3 and VCP demonstrated co-dependence for cancer cell proliferation and tumorigenesis

Identifiers

PMID37873234
PMCPMC10592841
OpenAlexW4387246403

What OpenQuestion holds

Textmetadata
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.