Evidence map›Paper›PMID 38019912›Full record

ArticleScience advances2023

Synthetic genetic circuits to uncover the OCT4 trajectories of successful reprogramming of human fibroblasts.

Katherine Ilia, Nika Shakiba, Trevor Bingham, Ross D Jones, Michael M Kaminski, Eliezer Aravera, Simone Bruno, Sebastian Palacios, Ron Weiss, James J Collins and 2 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

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  12. Accelerating Diverse Cell-Based Therapies Through Scalable Design.Annual review of chemical and biomolecular engineering · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 3 countries.

Katherine IliaDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID 0000-0002-7205-5364
Nika ShakibaDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID 0000-0003-2985-3130
Trevor BinghamStem Cell Program, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0001-6860-9830
Ross D JonesDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID 0000-0003-0891-6761
Michael M KaminskiDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID 0000-0003-0429-7027
Eliezer AraveraDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Simone BrunoDepartment of Mechanical Engineering, MIT, Cambridge, MA 02139, USA.ORCID 0000-0001-9235-8226
Sebastian PalaciosDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Ron WeissDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID 0000-0003-0396-2443
James J CollinsDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.ORCID 0000-0002-5560-8246
Domitilla Del VecchioSynthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-6472-8576
Thorsten M SchlaegerStem Cell Program, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-1599-9908
IIT@MIT · USBoston Children's Hospital · USMassachusetts Institute of Technology · USUniversity of British Columbia · CABroad Institute · USMax Delbrück Center · DEStony Brook University · 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

Reprogramming human fibroblasts to induced pluripotent stem cells (iPSCs) is inefficient, with heterogeneity among transcription factor (TF) trajectories driving divergent cell states. Nevertheless, the impact of TF dynamics on reprogramming efficiency remains uncharted. We develop a system that accurately reports OCT4 protein levels in live cells and use it to reveal the trajectories of OCT4 in successful reprogramming. Our system comprises a synthetic genetic circuit that leverages noise to generate a wide range of OCT4 trajectories and a microRNA targeting endogenous OCT4 to set total cellular OCT4 protein levels. By fusing OCT4 to a fluorescent protein, we are able to track OCT4 trajectories with clonal resolution via live-cell imaging. We discover that a supraphysiological, stable OCT4 level is required, but not sufficient, for efficient iPSC colony formation. Our synthetic genetic circuit design and high-throughput live-imaging pipeline are generalizable for investigating TF dynamics for other cell fate programming applications.

Indexed as

Cellular ReprogrammingInduced Pluripotent Stem CellsCell DifferentiationCells, CulturedFibroblastsHumansOctamer Transcription Factor-3Transcription FactorsOctamer Transcription Factor-3POU5F1 protein, humanTranscription Factors

Identifiers

PMID38019912
PMCPMC10686568
OpenAlexW4389127898

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.