Evidence map›Paper›PMID 36993734›Full record

ArticlebioRxiv : the preprint server for biology2023

Shared gene targets of the ATF4 and p53 transcriptional networks.

Gabriele Baniulyte, Serene A Durham, Lauren E Merchant, Morgan A Sammons

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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Gabriele BaniulyteDepartment of Biological Sciences and The RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Serene A DurhamDepartment of Biological Sciences and The RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Lauren E MerchantDepartment of Biological Sciences and The RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Morgan A SammonsDepartment of Biological Sciences and The RNA Institute, University at Albany, State University of New York, Albany, NY, USA.
Albany State University · US

Funding

Defining cis-regulatory networks controlling a core stress responseR35GM138120 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI SAMMONS, MORGAN ANDREW · 2020 to 2024
$1.8M
NIGMS NIH HHS R35 GM138120
6 · The paper itself

Abstract

The master tumor suppressor p53 regulates multiple cell fate decisions, like cell cycle arrest and apoptosis, via transcriptional control of a broad gene network. Dysfunction in the p53 network is common in cancer, often through mutations that inactivate p53 or other members of the pathway. Induction of tumor-specific cell death by restoration of p53 activity without off-target effects has gained significant interest in the field. In this study, we explore the gene regulatory mechanisms underlying a putative anti-cancer strategy involving stimulation of the p53-independent Integrated Stress Response (ISR). Our data demonstrate the p53 and ISR pathways converge to independently regulate common metabolic and pro-apoptotic genes. We investigated the architecture of multiple gene regulatory elements bound by p53 and the ISR effector ATF4 controlling this shared regulation. We identified additional key transcription factors that control basal and stress-induced regulation of these shared p53 and ATF4 target genes. Thus, our results provide significant new molecular and genetic insight into gene regulatory networks and transcription factors that are the target of numerous antitumor therapies.

Identifiers

PMID36993734
PMCPMC10055071
OpenAlexW4324316878

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.