Evidence map›Paper›PMID 37074584›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Live-Cell Sender-Receiver Co-cultures for Quantitative Measurement of Paracrine Signaling Dynamics, Gene Expression, and Drug Response.

Michael Pargett, Abhineet R Ram, Vaibhav Murthy, Alexander E Davies

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Michael PargettDepartment of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA.
Abhineet R RamDepartment of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA.
Vaibhav MurthyDepartment of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA.
Alexander E DaviesDepartment of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA. daviesal@ohsu.edu.
The Ohio State University · USUniversity of California, Davis · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Targeting ERK-AKT-mediated single-cell drug response heterogeneity in metastatic osteosarcomaK01OD031811 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVIES, ALEXANDER E · 2021 to 2025
$599k
NCI NIH HHS P30 CA016058NIH HHS K01 OD031811
6 · The paper itself

Abstract

Paracrine signaling is a fundamental process regulating tissue development, repair, and pathogenesis of diseases such as cancer. Herein we describe a method for quantitatively measuring paracrine signaling dynamics, and resultant gene expression changes, in living cells using genetically encoded signaling reporters and fluorescently tagged gene loci. We discuss considerations for selecting paracrine "sender-receiver" cell pairs, appropriate reporters, the use of this system to ask diverse experimental questions and screen drugs blocking intracellular communication, data collection, and the use of computational approaches to model and interpret these experiments.

Indexed as

Paracrine CommunicationSignal TransductionCell Culture TechniquesCoculture TechniquesGene ExpressionCancerDrug screeningERKIntercellular communicationLive-cell microscopyMAPKSingle cell

Identifiers

PMID37074584
OpenAlexW4366351717

What Socratic 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 Socratic graph.