Evidence map›Paper›PMID 42538289›Full record

ArticleGenes & development2026

Machine learning analysis of the human initiator region reveals key features of different types of core promoters.

Torrey E Rhyne-Carrigg, Long Vo Ngoc, Claudia Medrano, Kassidy E Gillespie, James T Kadonaga

Abstract read
In one paragraph

Article in Genes & development, 2026. 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
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Torrey E Rhyne-CarriggDepartment of Molecular Biology, University of California, San Diego, La Jolla, California 92093, USA.ORCID http://orcid.org/0009-0000-2957-7100
Long Vo NgocDepartment of Molecular Biology, University of California, San Diego, La Jolla, California 92093, USA.ORCID http://orcid.org/0000-0002-3918-5087
Claudia MedranoDepartment of Molecular Biology, University of California, San Diego, La Jolla, California 92093, USA.
Kassidy E GillespieDepartment of Molecular Biology, University of California, San Diego, La Jolla, California 92093, USA.
James T KadonagaDepartment of Molecular Biology, University of California, San Diego, La Jolla, California 92093, USA jkadonaga@ucsd.edu.ORCID http://orcid.org/0000-0002-2075-9458

Funding

Pathways in Biological Sciences Training ProgramT32GM133351 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Matthew Daugherty, Randolph Y. Hampton · 2020 to 2026
$9.9M
Mechanisms of Eukaryotic Gene RegulationR35GM118060 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI James T. Kadonaga · 2016 to 2026
$7.5M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NIGMS NIH HHS R35 GM118060NIGMS NIH HHS T32 GM133351NIH HHS S10 OD026929
6 · The paper itself

Abstract

The initiator (Inr) is the starting point for the transcription of many genes. Here, we generated highly predictive machine learning models of the human Inr region, and determined that the Inr is present in ∼60% of focused human promoters, identified a novel TATA-specific Inr, and detected the overlapping but functionally distinct TCT motif. Quantitative genome-wide analyses revealed a strict and synergistic interaction between the Inr and DPR, an inverse relationship between the TATA and DPR, a flexible and sometimes independent function of the TATA box in relation to the Inr, and different properties of the TCT motif in humans versus

Indexed as

Machine LearningPromoter Regions, GeneticAnimalsDrosophila melanogasterHumansNucleotide MotifsTATA Boxcore promoterDrosophilagene expressionhumansinitiatorRNA polymerase IITCT motiftranscription

Identifiers

PMID42538289
PMCPMC13532657

What OpenQuestion holds

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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.