Evidence map›Paper›PMID 27930301›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Reprogramming cell fate with a genome-scale library of artificial transcription factors.

Asuka Eguchi, Matthew J Wleklinski, Mackenzie C Spurgat, Evan A Heiderscheit, Anna S Kropornicka, Catherine K Vu, Devesh Bhimsaria, Scott A Swanson, Ron Stewart, Parameswaran Ramanathan and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Asuka EguchiCellular and Molecular Biology Training Program, University of Wisconsin-Madison, Madison, WI 53706.
Matthew J WleklinskiDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.
Mackenzie C SpurgatDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.
Evan A HeiderscheitDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.
Anna S KropornickaDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.
Catherine K VuDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.
Devesh BhimsariaDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.
Scott A SwansonMorgridge Institute for Research, Madison, WI 53715.
Ron StewartMorgridge Institute for Research, Madison, WI 53715.
Parameswaran RamanathanDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706.
Timothy J KampDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792.
Igor SlukvinWisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI 53715.
James A ThomsonMorgridge Institute for Research, Madison, WI 53715.
James R DuttonStem Cell Institute, University of Minnesota, Minneapolis, MN 55455.
Aseem Z AnsariDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706; azansari@wisc.edu.
University of Wisconsin–Madison · USMorgridge Institute for Research · USEnergy Center of Wisconsin · USUniversity of Minnesota · US

Funding

Progenitor Cell Biology Consortium Administrative Coordinating CenterU01HL099997 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI TERRIN, MICHAEL L · 2009 to 2015
$29.9M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Midwest Progenitor Cell ConsortiumU01HL099773 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI THOMSON, JAMES ALEXANDER · 2009 to 2015
$7.8M
NHGRI NIH HHS T32 HG002760NHLBI NIH HHS U01 HL099773NHLBI NIH HHS U01 HL099997
6 · The paper itself

Abstract

Artificial transcription factors (ATFs) are precision-tailored molecules designed to bind DNA and regulate transcription in a preprogrammed manner. Libraries of ATFs enable the high-throughput screening of gene networks that trigger cell fate decisions or phenotypic changes. We developed a genome-scale library of ATFs that display an engineered interaction domain (ID) to enable cooperative assembly and synergistic gene expression at targeted sites. We used this ATF library to screen for key regulators of the pluripotency network and discovered three combinations of ATFs capable of inducing pluripotency without exogenous expression of Oct4 (POU domain, class 5, TF 1). Cognate site identification, global transcriptional profiling, and identification of ATF binding sites reveal that the ATFs do not directly target Oct4; instead, they target distinct nodes that converge to stimulate the endogenous pluripotency network. This forward genetic approach enables cell type conversions without a priori knowledge of potential key regulators and reveals unanticipated gene network dynamics that drive cell fate choices.

Indexed as

Cell LineageCellular ReprogrammingAnimalsBinding SitesChaperonin Containing TCP-1Epigenesis, GeneticFibroblastsGene Expression Regulation, NeoplasticGene Regulatory NetworksGenomic LibraryHEK293 CellsHumansMiceProtein DomainsProtein EngineeringSequence Analysis, RNACCT4 protein, humanChaperonin Containing TCP-1Transcription Factorsartificial transcription factorcell fategene regulatory networksgenome-scale libraryreprogramming

Identifiers

PMID27930301
PMCPMC5187731
OpenAlexW2560386047

What OpenQuestion holds

Textmetadata
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.