Evidence mapPaperPMID 37745337Full record

ArticlebioRxiv : the preprint server for biology2024

Surprising Features of Nuclear Receptor Interaction Networks Revealed by Live Cell Single Molecule Imaging.

Liza Dahal, Thomas Gw Graham, Gina M Dailey, Alec Heckert, Robert Tjian, Xavier Darzacq

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Liza DahalDepartment of Molecular and Cell Biology, University of California, Berkeley, United States.ORCID 0000-0002-5600-1673
Thomas Gw GrahamDepartment of Molecular and Cell Biology, University of California, Berkeley, United States.ORCID 0000-0001-5189-4313
Gina M DaileyDepartment of Molecular and Cell Biology, University of California, Berkeley, United States.ORCID 0000-0002-8988-963X
Alec HeckertEikon Therapeutics Inc., Hayward, California, United States.ORCID 0000-0001-8748-6645
Robert TjianDepartment of Molecular and Cell Biology, University of California, Berkeley, United States.ORCID 0000-0003-0539-8217
Xavier DarzacqDepartment of Molecular and Cell Biology, University of California, Berkeley, United States.ORCID 0000-0003-2537-8395
Howard Hughes Medical Institute · USUniversity of California, Berkeley · US

Funding

NIGMS NIH HHS T32 GM098218
6 · The paper itself

Abstract

Type 2 Nuclear Receptors (T2NRs) require heterodimerization with a common partner, the Retinoid X Receptor (RXR), to bind cognate DNA recognition sites in chromatin. Based on previous biochemical and over-expression studies, binding of T2NRs to chromatin is proposed to be regulated by competition for a limiting pool of the core RXR subunit. However, this mechanism has not yet been tested for endogenous proteins in live cells. Using single molecule tracking (SMT) and proximity-assisted photoactivation (PAPA), we monitored interactions between endogenously tagged retinoid X receptor (RXR) and retinoic acid receptor (RAR) in live cells. Unexpectedly, we find that higher expression of RAR, but not RXR increases heterodimerization and chromatin binding in U2OS cells. This surprising finding indicates the limiting factor is not RXR but likely its cadre of obligate dimer binding partners. SMT and PAPA thus provide a direct way to probe which components are functionally limiting within a complex TF interaction network providing new insights into mechanisms of gene regulation in vivo with implications for drug development targeting nuclear receptors.

Identifiers

PMID37745337
PMCPMC10516011
OpenAlexW4386811673

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.