Evidence map›Paper›PMID 37207650›Full record

ArticleStem cell reports2023

Embryonic stem cell ERK, AKT, plus STAT3 response dynamics combinatorics are heterogeneous but NANOG state independent.

Andreas Reimann, Tobias Kull, Weijia Wang, Philip Dettinger, Dirk Loeffler, Timm Schroeder

Open access · goldAbstract read
In one paragraph

Article in Stem cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Andreas ReimannDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Tobias KullDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Weijia WangDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Philip DettingerDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Dirk LoefflerDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
Timm SchroederDepartment of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland. Electronic address: timm.schroeder@bsse.ethz.ch.
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signaling is central in cell fate regulation, and relevant information is encoded in its activity over time (i.e., dynamics). However, simultaneous dynamics quantification of several pathways in single mammalian stem cells has not yet been accomplished. Here we generate mouse embryonic stem cell (ESC) lines simultaneously expressing fluorescent reporters for ERK, AKT, and STAT3 signaling activity, which all control pluripotency. We quantify their single-cell dynamics combinations in response to different self-renewal stimuli and find striking heterogeneity for all pathways, some dependent on cell cycle but not pluripotency states, even in ESC populations currently assumed to be highly homogeneous. Pathways are mostly independently regulated, but some context-dependent correlations exist. These quantifications reveal surprising single-cell heterogeneity in the important cell fate control layer of signaling dynamics combinations and raise fundamental questions about the role of signaling in (stem) cell fate control.

Indexed as

Embryonic Stem CellsProto-Oncogene Proteins c-aktAnimalsCell DifferentiationMammalsMiceMouse Embryonic Stem CellsNanog Homeobox ProteinSignal TransductionSTAT3 Transcription FactorNanog Homeobox ProteinNanog protein, mouseProto-Oncogene Proteins c-aktStat3 protein, mouseSTAT3 Transcription FactorAKTdynamicsERKESCheterogeneitysignalingSTAT3time-lapse

Identifiers

PMID37207650
PMCPMC10277824
OpenAlexW4377020439

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.