Evidence map›Paper›PMID 39562139›Full record

ArticleGenes & development2024

Proteomic insights into circadian transcription regulation: novel E-box interactors revealed by proximity labeling.

Manon Torres, Marieluise Kirchner, Caroline G Marks, Philipp Mertins, Achim Kramer

Abstract read
In one paragraph

Article in Genes & development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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.

Manon TorresLaboratory of Chronobiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany.ORCID 0000-0003-1716-7352
Marieluise KirchnerCore Unit Proteomics, Berlin Institute of Health at Charité-Universitätsmedizin Berlin and Max-Delbrück-Center for Molecular Medicine, 13125 Berlin, Germany.ORCID 0000-0002-7049-534X
Caroline G MarksLaboratory of Chronobiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany.
Philipp MertinsCore Unit Proteomics, Berlin Institute of Health at Charité-Universitätsmedizin Berlin and Max-Delbrück-Center for Molecular Medicine, 13125 Berlin, Germany.ORCID 0000-0002-2245-528X
Achim KramerLaboratory of Chronobiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany; achim.kramer@charite.de.ORCID 0000-0001-9671-6078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian clocks (∼24 h) are responsible for daily physiological, metabolic, and behavioral changes. Central to these oscillations is the regulation of gene transcription. Previous research has identified clock protein complexes that interact with the transcriptional machinery to orchestrate circadian transcription, but technological constraints have limited the identification of de novo proteins. Here we use a novel genomic locus-specific quantitative proteomics approach to provide a new perspective on time of day-dependent protein binding at a critical chromatin locus involved in circadian transcription: the E-box. Using proximity labeling proteomics at the E-box of the clock-controlled

Indexed as

Circadian RhythmGene Expression RegulationProteomicsTranscription, GeneticAnimalsARNTL Transcription FactorsCircadian ClocksE-Box ElementsHumansMiceProtein BindingARNTL Transcription Factorscircadian clockcircadian transcriptionDNA–protein proximity labelingenhancer–enhancer interactionsprotein–protein interactionsproteomics

Identifiers

PMID39562139
PMCPMC11610934

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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.