Evidence map›Paper›PMID 41986175›Full record

ReviewTrends in cell biology2026

Noninvasive methods to monitor dynamic single-cell events.

Robin E C Lee, Jason Yeung, Thomas Mumford, Lukasz Bugaj, Matthew J Daniels, John Stanley, Nader Pourmand, Katie G Vineall, Danielle L Schmitt, Shah Md Toufiqur Rahman and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in cell biology, 2026. 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.

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

11 authors.

Robin E C LeeDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, USA.
Jason YeungDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Thomas MumfordDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Lukasz BugajDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Matthew J DanielsNovo Nordisk A/S, 75 Hayden Avenue, Lexington, MA 02421, USA.
John StanleyDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA, USA.
Nader PourmandDepartment of Biomolecular Engineering, University of California, Santa Cruz, CA, USA.
Katie G VineallDepartment of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA 90095, USA.
Danielle L SchmittDepartment of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA 90095, USA; Institute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA 90095, USA; Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA 90095, USA.
Shah Md Toufiqur RahmanTranscription Systems Dynamics and Biology Unit, Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA.
Myong-Hee SungTranscription Systems Dynamics and Biology Unit, Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA. Electronic address: sungm@mail.nih.gov.

Funding

Functional decoding of signaling dynamics in single immune cellsZIAAG000380 · NIA · NATIONAL INSTITUTE ON AGING · PI SUNG, MYONG-HEE · 2016 to 2025
$29.0M
UCLA NIGMS T32 Program AssessmentT32GM007185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TORRES, JORGE · 1985 to 2020
$21.7M
Equipment Supplement for 5R35GM119462: Deciphering dynamic signals in control of cell fate decisionsR35GM119462 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ROBIN E. C. · 2016 to 2025
$4.2M
Imaging Spatiotemporal Regulation of Acetyl-CoADP2GM154012 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Danielle Lynanne Schmitt · 2023 to 2026
$2.2M
Intramural NIH HHS ZIA AG000380NIGMS NIH HHS DP2 GM154012NIGMS NIH HHS R35 GM119462NIGMS NIH HHS T32 GM007185
6 · The paper itself

Abstract

Adaptations to changing environments manifest in various cellular activities across multiple timescales, where single-cell responses can occur asynchronously between individual cells. Hence, accurate delineation of transient or rare activities often requires real-time monitoring of single cells over hours or days. While great strides have been made in the throughput of molecular analysis methodologies, most biochemical methods are cell destructive and, therefore, can only provide snapshots of dynamic processes. Noninvasive observations of natural cell behaviors offer unique insights into key dynamic events. In this feature review article, we discuss current toolkits for monitoring real-time dynamics of diverse cellular activities in living cells, as well as their advantages and challenges. We also speculate on new avenues for noninvasive single-cell monitoring that will be feasible in the foreseeable future.

Indexed as

Single-Cell AnalysisAnimalsHumanscell signalinglive-cell imagingnoninvasive monitoringsingle-cell heterogeneity

Identifiers

PMID41986175
PMCPMC13089305

What OpenQuestion holds

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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.