Evidence map›Paper›PMID 36942737›Full record

ArticleDevelopment (Cambridge, England)2023

Ratiometric sensing of Pnt and Yan transcription factor levels confers ultrasensitivity to photoreceptor fate transitions in Drosophila.

Sebastian M Bernasek, Suzy S J Hur, Nicolás Peláez-Restrepo, Jean-François Boisclair Lachance, Rachael Bakker, Heliodoro Tejedor Navarro, Nicelio Sanchez-Luege, Luís A N Amaral, Neda Bagheri, Ilaria Rebay and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Development (Cambridge, England), 2023. 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
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors at 2 institutions in 1 country.

Sebastian M BernasekDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.
Suzy S J HurBen May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA.
Nicolás Peláez-RestrepoDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.
Jean-François Boisclair LachanceBen May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA.
Rachael BakkerDepartment of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA.
Heliodoro Tejedor NavarroNorthwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA.
Nicelio Sanchez-LuegeBen May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA.
Luís A N AmaralDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-3762-789X
Neda BagheriDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.
Ilaria RebayBen May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA.
Richard W CarthewDepartment of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0003-0343-0156
Northwestern University · USUniversity of Chicago · US

Funding

Non-coding RNAs and their mechanisms and functions-RenewalR35GM118144 · NIGMS · NORTHWESTERN UNIVERSITY · PI Richard W. CARTHEW · 2016 to 2026
$6.8M
Function and Regulation of the ETS Transcriptional Repressor Tel-1/YANR01GM080372 · NIGMS · UNIVERSITY OF CHICAGO · PI REBAY, ILARIA · 2007 to 2022
$3.9M
A systems-level study of signaling networks and differentiationR01EY025957 · NEI · UNIVERSITY OF CHICAGO · PI CARTHEW, RICHARD W., DINNER, AARON · 2016 to 2018
$1.5M
Reconstructing positional information in the eye from scRNA-seq and relating it to signal transductionR21EY032233 · NEI · NORTHWESTERN UNIVERSITY · PI CARTHEW, RICHARD W. · 2021 to 2022
$413k
NEI NIH HHS R01 EY025957NEI NIH HHS R21 EY032233NIGMS NIH HHS R01 GM080372NIGMS NIH HHS R35 GM118144
6 · The paper itself

Abstract

Cell state transitions are often triggered by large changes in the concentrations of transcription factors and therefore large differences in their stoichiometric ratios. Whether cells can elicit transitions using modest changes in the ratios of co-expressed factors is unclear. Here, we investigate how cells in the Drosophila eye resolve state transitions by quantifying the expression dynamics of the ETS transcription factors Pnt and Yan. Eye progenitor cells maintain a relatively constant ratio of Pnt/Yan protein, despite expressing both proteins with pulsatile dynamics. A rapid and sustained twofold increase in the Pnt/Yan ratio accompanies transitions to photoreceptor fates. Genetic perturbations that modestly disrupt the Pnt/Yan ratio produce fate transition defects consistent with the hypothesis that transitions are normally driven by a twofold shift in the ratio. A biophysical model based on cooperative Yan-DNA binding coupled with non-cooperative Pnt-DNA binding illustrates how twofold ratio changes could generate ultrasensitive changes in target gene transcription to drive fate transitions. Thus, coupling cell state transitions to the Pnt/Yan ratio sensitizes the system to modest fold-changes, conferring robustness and ultrasensitivity to the developmental program.

Indexed as

Drosophila ProteinsTranscription FactorsAnimalsDNADNA-Binding ProteinsDrosophilaEye ProteinsNerve Tissue ProteinsProto-Oncogene ProteinsRepressor ProteinsDNADNA-Binding ProteinsDrosophila ProteinsEye ProteinsNerve Tissue Proteinspnt protein, DrosophilaProto-Oncogene ProteinsRepressor ProteinsTranscription FactorsDifferentiationDrosophilaEyePhotoreceptor

Identifiers

PMID36942737
PMCPMC10163347
OpenAlexW4328048484

What OpenQuestion holds

Textmetadata
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.