Evidence map›Paper›PMID 35674434›Full record

ArticleBiochemical Society transactions2022

CDK activity sensors: genetically encoded ratiometric biosensors for live analysis of the cell cycle.

Michael A Q Martinez, David Q Matus

Abstract read
In one paragraph

Article in Biochemical Society transactions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. A Constellation of Fluorescent Biosensors to Illuminate the Galaxy of Protein Kinases.Chembiochem : a European journal of chemical biology · 2026
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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

2 authors.

Michael A Q MartinezDepartment of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY 11794, U.S.A.ORCID 0000-0003-1178-7139
David Q MatusDepartment of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY 11794, U.S.A.ORCID 0000-0002-1570-5025

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008444 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI FROHMAN, MICHAEL A. · 1992 to 2024
$12.6M
Elucidating the mechanisms underlying cell cycle regulation of invasive behaviorR01GM121597 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI MATUS, DAVID · 2017 to 2021
$2.1M
Elucidating the Relationship Between Cell Proliferation and InvasionF30CA257383 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI MARTINEZ, MICHAEL ADRIAN · 2021 to 2024
$184k
NCI NIH HHS F30 CA257383NIGMS NIH HHS R01 GM121597NIGMS NIH HHS T32 GM008444
6 · The paper itself

Abstract

Cyclin-dependent kinase (CDK) sensors have facilitated investigations of the cell cycle in living cells. These genetically encoded fluorescent biosensors change their subcellular location upon activation of CDKs. Activation is primarily regulated by their association with cyclins, which in turn trigger cell-cycle progression. In the absence of CDK activity, cells exit the cell cycle and become quiescent, a key step in stem cell maintenance and cancer cell dormancy. The evolutionary conservation of CDKs has allowed for the rapid development of CDK activity sensors for cell lines and several research organisms, including nematodes, fish, and flies. CDK activity sensors are utilized for their ability to visualize the exact moment of cell-cycle commitment. This has provided a breakthrough in understanding the proliferation-quiescence decision. Further adoption of these biosensors will usher in new discoveries focused on the cell-cycle regulation of development, ageing, and cancer.

Indexed as

Biosensing TechniquesCyclinsAnimalsCell CycleCell DivisionCyclin-Dependent KinasesCyclin-Dependent KinasesCyclinsbiosensorscell cyclecyclin-dependent kinaseslive imaging

Identifiers

PMID35674434
PMCPMC9661961

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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.