Evidence map›Paper›PMID 37782779›Full record

ArticleAnalytical chemistry2023

Mapping the Direction of Nucleocytoplasmic Transport of Glucocorticoid Receptor (GR) in Live Cells Using Two-Foci Cross-Correlation in Massively Parallel Fluorescence Correlation Spectroscopy (mpFCS).

Stanko N Nikolić, Sho Oasa, Aleksandar J Krmpot, Lars Terenius, Milivoj R Belić, Rudolf Rigler, Vladana Vukojević

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 3 countries.

Stanko N NikolićDepartment of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institute, 17176 Stockholm, Sweden.
Sho OasaDepartment of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institute, 17176 Stockholm, Sweden.ORCID 0000-0003-3800-590X
Aleksandar J KrmpotDepartment of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institute, 17176 Stockholm, Sweden.ORCID 0000-0003-2751-7395
Lars TereniusDepartment of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institute, 17176 Stockholm, Sweden.ORCID 0000-0003-2880-9576
Milivoj R BelićDivision of Arts and Sciences, Texas A&M University at Qatar, Doha, Qatar.
Rudolf RiglerDepartment of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institute, 17176 Stockholm, Sweden.
Vladana VukojevićDepartment of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institute, 17176 Stockholm, Sweden.ORCID 0000-0003-0873-5653
Karolinska Institutet · SETexas A&M University at Qatar · QA

Funding

Drug targeting the dynamics of opioid systems in alcohol dependenceR01AA028549 · NIAAA · KAROLINSKA INSTITUTE · PI MARTIN-FARDON, REMI, TALISMAN, TIJANA · 2020 to 2024
$2.6M
NIAAA NIH HHS R01 AA028549
6 · The paper itself

Abstract

Nucleocytoplasmic transport of transcription factors is vital for normal cellular function, and its breakdown is a major contributing factor in many diseases. The glucocorticoid receptor (GR) is an evolutionarily conserved, ligand-dependent transcription factor that regulates homeostasis and response to stress and is an important target for therapeutics in inflammation and cancer. In unstimulated cells, the GR resides in the cytoplasm bound to other molecules in a large multiprotein complex. Upon stimulation with endogenous or synthetic ligands, GR translocation to the cell nucleus occurs, where the GR regulates the transcription of numerous genes by direct binding to glucocorticoid response elements or by physically associating with other transcription factors. While much is known about molecular mechanisms underlying GR function, the spatial organization of directionality of GR nucleocytoplasmic transport remains less well characterized, and it is not well understood how the bidirectional nucleocytoplasmic flow of GR is coordinated in stimulated cells. Here, we use two-foci cross-correlation in a massively parallel fluorescence correlation spectroscopy (mpFCS) system to map in live cells the directionality of GR translocation at different positions along the nuclear envelope. We show theoretically and experimentally that cross-correlation of signals from two nearby observation volume elements (OVEs) in an mpFCS setup presents a sharp peak when the OVEs are positioned along the trajectory of molecular motion and that the time position of the peak corresponds to the average time of flight of the molecule between the two OVEs. Hence, the direction and velocity of nucleocytoplasmic transport can be determined simultaneously at several locations along the nuclear envelope. We reveal that under ligand-induced GR translocation, nucleocytoplasmic import/export of GR proceeds simultaneously but at different locations in the cell nucleus. Our data show that mpFCS can characterize in detail the heterogeneity of directional nucleocytoplasmic transport in a live cell and may be invaluable for studies aiming to understand how the bidirectional flow of macromolecules through the nuclear pore complex (NPC) is coordinated to avoid intranuclear transcription factor accretion/abatement.

Indexed as

Cell NucleusReceptors, GlucocorticoidActive Transport, Cell NucleusGlucocorticoidsLigandsSpectrum AnalysisTranscription FactorsGlucocorticoidsLigandsReceptors, GlucocorticoidTranscription Factors

Identifiers

PMID37782779
PMCPMC10585663
OpenAlexW4387245562

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.