Evidence map›Paper›PMID 37177995›Full record

ArticleNucleic acids research2023

DNA binding specificity of all four Saccharomyces cerevisiae forkhead transcription factors.

Brendon H Cooper, Ana Carolina Dantas Machado, Yan Gan, Oscar M Aparicio, Remo Rohs

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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 1 institution in 1 country.

Brendon H CooperDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Ana Carolina Dantas MachadoDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Yan GanDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Oscar M AparicioMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Remo RohsDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-1752-1884
University of Southern California · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Regulation of Chromosomal DNA Replication Dynamics in S. CerevisiaeR01GM065494 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI APARICIO, OSCAR M · 2003 to 2022
$6.9M
Quantitative Modeling of Transcription Factor-DNA BindingR35GM130376 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Remo Rohs · 2019 to 2026
$3.3M
NCI NIH HHS P30 CA014089NIGMS NIH HHS R01 GM065494NIGMS NIH HHS R35 GM130376
6 · The paper itself

Abstract

Quantifying the nucleotide preferences of DNA binding proteins is essential to understanding how transcription factors (TFs) interact with their targets in the genome. High-throughput in vitro binding assays have been used to identify the inherent DNA binding preferences of TFs in a controlled environment isolated from confounding factors such as genome accessibility, DNA methylation, and TF binding cooperativity. Unfortunately, many of the most common approaches for measuring binding preferences are not sensitive enough for the study of moderate-to-low affinity binding sites, and are unable to detect small-scale differences between closely related homologs. The Forkhead box (FOX) family of TFs is known to play a crucial role in regulating a variety of key processes from proliferation and development to tumor suppression and aging. By using the high-sequencing depth SELEX-seq approach to study all four FOX homologs in Saccharomyces cerevisiae, we have been able to precisely quantify the contribution and importance of nucleotide positions all along an extended binding site. Essential to this process was the alignment of our SELEX-seq reads to a set of candidate core sequences determined using a recently developed tool for the alignment of enriched k-mers and a newly developed approach for the reprioritization of candidate cores.

Indexed as

Forkhead Transcription FactorsSaccharomyces cerevisiae ProteinsBinding SitesDNADNA-Binding ProteinsNucleotidesProtein BindingSaccharomyces cerevisiaeDNADNA-Binding ProteinsForkhead Transcription FactorsNucleotidesSaccharomyces cerevisiae Proteins

Identifiers

PMID37177995
PMCPMC10287902
OpenAlexW4376598256

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.