Evidence map›Paper›PMID 37650627›Full record

ArticleNucleic acids research2023

Optimisation of TP53 reporters by systematic dissection of synthetic TP53 response elements.

Max Trauernicht, Chaitanya Rastogi, Stefano G Manzo, Harmen J Bussemaker, Bas van Steensel

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Context dependent activity of p63-bound gene regulatory elements.bioRxiv : the preprint server for biology · 2024
    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

5 authors at 4 institutions in 3 countries.

Max TrauernichtDivision of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.ORCID 0000-0002-4085-4567
Chaitanya RastogiDepartment of Biological Sciences, Columbia University, New York, NY, USA.ORCID 0000-0001-9155-9341
Stefano G ManzoDivision of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.ORCID 0000-0002-6911-3527
Harmen J BussemakerDepartment of Biological Sciences, Columbia University, New York, NY, USA.ORCID 0000-0002-7274-5277
Bas van SteenselDivision of Gene Regulation, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.ORCID 0000-0002-0284-0404
The Netherlands Cancer Institute · NLColumbia University · USColumbia University Irving Medical Center · USUniversity of Milan · IT

Funding

Statistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0M
NIH HHS R01MH106842NIMH NIH HHS R01 MH106842
6 · The paper itself

Abstract

TP53 is a transcription factor that controls multiple cellular processes, including cell cycle arrest, DNA repair and apoptosis. The relation between TP53 binding site architecture and transcriptional output is still not fully understood. Here, we systematically examined in three different cell lines the effects of binding site affinity and copy number on TP53-dependent transcriptional output, and also probed the impact of spacer length and sequence between adjacent binding sites, and of core promoter identity. Paradoxically, we found that high-affinity TP53 binding sites are less potent than medium-affinity sites. TP53 achieves supra-additive transcriptional activation through optimally spaced adjacent binding sites, suggesting a cooperative mechanism. Optimally spaced adjacent binding sites have a ∼10-bp periodicity, suggesting a role for spatial orientation along the DNA double helix. We leveraged these insights to construct a log-linear model that explains activity from sequence features, and to identify new highly active and sensitive TP53 reporters.

Indexed as

Response ElementsTumor Suppressor Protein p53Binding SitesCell Line, TumorDNAGenes, ReporterHumansPromoter Regions, GeneticProtein BindingTranscriptional ActivationDNATP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID37650627
PMCPMC10570033
OpenAlexW4386306240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.