Evidence map›Paper›PMID 36302844›Full record

ArticleScientific reports2022

Relating individual cell division events to single-cell ERK and Akt activity time courses.

Alan D Stern, Gregory R Smith, Luis C Santos, Deepraj Sarmah, Xiang Zhang, Xiaoming Lu, Federico Iuricich, Gaurav Pandey, Ravi Iyengar, Marc R Birtwistle

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Two novel red-FRET ERK bosensors in the 670-720 nm range.Journal of biological engineering · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Phased ERK responsiveness and developmental robustness regulate teleost skin morphogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
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  16. 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

10 authors at 2 institutions in 1 country.

Alan D SternDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gregory R SmithDepartment of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Luis C SantosDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Deepraj SarmahDepartment of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
Xiang ZhangSchool of Computing, Clemson University, Clemson, SC, USA.
Xiaoming LuDepartment of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
Federico IuricichSchool of Computing, Clemson University, Clemson, SC, USA.
Gaurav PandeyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ravi IyengarDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Marc R BirtwistleDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. mbirtwi@clemson.edu.
Icahn School of Medicine at Mount Sinai · USClemson University · US

Funding

Mechanistic Pharmacodynamic Modeling for Drug Combination ResponsesR35GM141891 · NIGMS · CLEMSON UNIVERSITY · PI BIRTWISTLE, MARC R. · 2021 to 2025
$2.1M
Systems Pharmacology for overcoming cell variabilityR01GM137056 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI IYENGAR, SRINIVAS RAVI V · 2020 to 2023
$1.9M
Predicting the Heterogeneity of Cell-Fate DecisionsR01GM104184 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BIRTWISTLE, MARC R. · 2014 to 2018
$1.8M
Reconstructing Kinase Network Dynamics to Predict Stochastic Cell Cycle FateF31GM129985 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI STERN, ALAN DENNIS · 2018 to 2020
$97k
NIGMS NIH HHS F31 GM129985NIGMS NIH HHS R01 GM104184NIGMS NIH HHS R01 GM137056NIGMS NIH HHS R35 GM141891
6 · The paper itself

Abstract

Biochemical correlates of stochastic single-cell fates have been elusive, even for the well-studied mammalian cell cycle. We monitored single-cell dynamics of the ERK and Akt pathways, critical cell cycle progression hubs and anti-cancer drug targets, and paired them to division events in the same single cells using the non-transformed MCF10A epithelial line. Following growth factor treatment, in cells that divide both ERK and Akt activities are significantly higher within the S-G2 time window (~ 8.5-40 h). Such differences were much smaller in the pre-S-phase, restriction point window which is traditionally associated with ERK and Akt activity dependence, suggesting unappreciated roles for ERK and Akt in S through G2. Simple metrics of central tendency in this time window are associated with subsequent cell division fates. ERK activity was more strongly associated with division fates than Akt activity, suggesting Akt activity dynamics may contribute less to the decision driving cell division in this context. We also find that ERK and Akt activities are less correlated with each other in cells that divide. Network reconstruction experiments demonstrated that this correlation behavior was likely not due to crosstalk, as ERK and Akt do not interact in this context, in contrast to other transformed cell types. Overall, our findings support roles for ERK and Akt activity throughout the cell cycle as opposed to just before the restriction point, and suggest ERK activity dynamics may be more important than Akt activity dynamics for driving cell division in this non-transformed context.

Indexed as

Extracellular Signal-Regulated MAP KinasesProto-Oncogene Proteins c-aktAnimalsCell CycleCell DivisionMammalsSignal TransductionExtracellular Signal-Regulated MAP KinasesProto-Oncogene Proteins c-akt

Identifiers

PMID36302844
PMCPMC9613772
OpenAlexW4307434691

What Socratic holds

Textmetadata
LicenceCC BY
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.