Evidence map›Paper›PMID 41256442›Full record

ArticlebioRxiv : the preprint server for biology2025

Engineering Inducible Cell Fate Transitions by Harnessing Epigenetic Silencing.

Oscar A Campos, Alessandro Migliara, Satoshi Toda, Pilar Lopez, Wendell A Lim, Ricardo Almeida

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

6 authors.

Oscar A CamposDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.ORCID 0000-0002-5645-7275
Alessandro MigliaraDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.
Satoshi TodaDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.
Pilar LopezDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.
Wendell A LimDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.
Ricardo AlmeidaDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.

Funding

Harnessing CRISPR for Targeted and Inducible Epigenomic ReprogrammingR01DA036858 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A, QI, LEI STANLEY · 2013 to 2017
$2.9M
Synthetic epigenetic circuits: tunable cell fate switches controlled by dynamic and combinatorial inputsR01CA253017 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Ricardo Augusto Barbosa de Almeida, WENDELL A LIM · 2021 to 2026
$2.0M
NCI NIH HHS R01 CA253017NIDA NIH HHS R01 DA036858
6 · The paper itself

Abstract

During development, cell-cell communication induces a series of cell fate transitions that are maintained by epigenetic gene regulation. Here, we harness endogenous epigenetic silencing machinery to develop synthetic circuits that induce stable gene expression changes. Using synthetic Notch receptors that control the chromatin regulators KRAB and Dnmt3L, we developed input-controlled switches capable of inducing self-sustaining silencing of target loci. We used these modules to construct circuits in which combinatorial inputs specifically direct a choice among multiple alternative cell fates. These epigenetic silencing switches can also be inverted to yield input-induced sustained activation of a target gene. We demonstrate that this epigenetic memory switch can be used to drive morphological fate changes, in response to transient cell signals, that remain stable over many cell divisions, as is observed in development. These synthetic epigenetic circuits represent an important step towards engineering cell populations capable of coordinated multi-cell fate decisions.

Identifiers

PMID41256442
PMCPMC12621680

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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.