Evidence map›Paper›PMID 35156763›Full record

ArticleMolecular systems biology2022

Large-scale analysis of Drosophila core promoter function using synthetic promoters.

Zhan Qi, Christophe Jung, Peter Bandilla, Claudia Ludwig, Mark Heron, Anja Sophie Kiesel, Mariam Museridze, Julia Philippou-Massier, Miroslav Nikolov, Alessio Renna Max Schnepf and 6 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. TheMicroorganisms · 2026
    Article
  3. NovelbioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Targeted mutagenesis of specific genomic DNA sequences in animals for thebioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Mutational scans reveal differential evolvability ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. 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

16 authors.

Zhan QiDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Christophe JungDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.ORCID 0000-0002-9774-1125
Peter BandillaDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Claudia LudwigDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Mark HeronDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Anja Sophie KieselDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Mariam MuseridzeDepartment of Biology II, Evolutionary Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany.
Julia Philippou-MassierDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Miroslav NikolovDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.ORCID 0000-0002-8788-0631
Alessio Renna Max SchnepfDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Ulrich UnnerstallDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.
Stefano CeolinDepartment of Biology II, Evolutionary Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany.
Bettina MühligDepartment of Biology II, Evolutionary Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany.
Nicolas GompelDepartment of Biology II, Evolutionary Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany.ORCID 0000-0003-3358-7963
Johannes SoedingDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.ORCID 0000-0001-9642-8244
Ulrike GaulDepartment of Biochemistry, Gene Center, Ludwig-Maximillians-Universität München, Feodor-Lynen-str 25, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The core promoter plays a central role in setting metazoan gene expression levels, but how exactly it "computes" expression remains poorly understood. To dissect its function, we carried out a comprehensive structure-function analysis in Drosophila. First, we performed a genome-wide bioinformatic analysis, providing an improved picture of the sequence motifs architecture. We then measured synthetic promoters' activities of ~3,000 mutational variants with and without an external stimulus (hormonal activation), at large scale and with high accuracy using robotics and a dual luciferase reporter assay. We observed a strong impact on activity of the different types of mutations, including knockout of individual sequence motifs and motif combinations, variations of motif strength, nucleosome positioning, and flanking sequences. A linear combination of the individual motif features largely accounts for the combinatorial effects on core promoter activity. These findings shed new light on the quantitative assessment of gene expression in metazoans.

Indexed as

Computational BiologyDrosophilaAnimalsGenomePromoter Regions, Geneticgene expressionmodelingmotif searchmutational analysispromoter

Identifiers

PMID35156763
PMCPMC8842121

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Registered trials

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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.