Evidence map›Paper›PMID 38184707›Full record

ArticleNPJ systems biology and applications2024

Epigenetic OCT4 regulatory network: stochastic analysis of cellular reprogramming.

Simone Bruno, Thorsten M Schlaeger, Domitilla Del Vecchio

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Stochastic modeling of epigenetic memory.NPJ systems biology and applications · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Genetic and Epigenetic Interactions Involved in Senescence of Stem Cells.International journal of molecular sciences · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Simone BrunoDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0001-9235-8226
Thorsten M SchlaegerBoston Children's Hospital Stem Cell Program, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0002-1599-9908
Domitilla Del VecchioDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA. ddv@mit.edu.ORCID http://orcid.org/0000-0001-6472-8576
Massachusetts Institute of Technology · USBoston Children's Hospital · US

Funding

Synthetic Genetic Controller Circuits to Reprogram Cell FateR01EB024591 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI COLLINS, JAMES J, DEL VECCHIO, DOMITILLA · 2017 to 2020
$2.5M
NIBIB NIH HHS R01 EB024591
6 · The paper itself

Abstract

Experimental studies have shown that chromatin modifiers have a critical effect on cellular reprogramming, i.e., the conversion of differentiated cells to pluripotent stem cells. Here, we develop a model of the OCT4 gene regulatory network that includes genes expressing chromatin modifiers TET1 and JMJD2, and the chromatin modification circuit on which these modifiers act. We employ this model to compare three reprogramming approaches that have been considered in the literature with respect to reprogramming efficiency and latency variability. These approaches are overexpression of OCT4 alone, overexpression of OCT4 with TET1, and overexpression of OCT4 with JMJD2. Our results show more efficient and less variable reprogramming when also JMJD2 and TET1 are overexpressed, consistent with previous experimental data. Nevertheless, TET1 overexpression can lead to more efficient reprogramming compared to JMJD2 overexpression. This is the case when the recruitment of DNA methylation by H3K9me3 is weak and the methyl-CpG-binding domain (MBD) proteins are sufficiently scarce such that they do not hamper TET1 binding to methylated DNA. The model that we developed provides a mechanistic understanding of existing experimental results and is also a tool for designing optimized reprogramming approaches that combine overexpression of cell-fate specific transcription factors (TFs) with targeted recruitment of epigenetic modifiers.

Indexed as

Cellular ReprogrammingGene Regulatory NetworksCell DifferentiationChromatinEpigenesis, GeneticChromatin

Identifiers

PMID38184707
PMCPMC10771499
OpenAlexW4390637330

What OpenQuestion 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 OpenQuestion graph.