Evidence map›Paper›PMID 31792064›Full record

ReviewDevelopment (Cambridge, England)2019

Reprogramming: identifying the mechanisms that safeguard cell identity.

Justin Brumbaugh, Bruno Di Stefano, Konrad Hochedlinger

Abstract readReview
In one paragraph

Review in Development (Cambridge, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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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

3 authors.

Justin BrumbaughDepartment of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, USA.
Bruno Di StefanoDepartment of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA.
Konrad HochedlingerDepartment of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA khochedlinger@mgh.harvard.edu.ORCID 0000-0001-5811-5386

Funding

Roles of sumoylation and alternative polyadenylation in cellular reprogrammingP01GM099134 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PLATH, KATHRIN · 2011 to 2021
$20.3M
Transcription Factor Induced ReprogrammingR01HD058013 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHEDLINGER, KONRAD · 2010 to 2019
$4.4M
NICHD NIH HHS R01 HD058013NIGMS NIH HHS P01 GM099134
6 · The paper itself

Abstract

Development and homeostasis rely upon concerted regulatory pathways to establish the specialized cell types needed for tissue function. Once a cell type is specified, the processes that restrict and maintain cell fate are equally important in ensuring tissue integrity. Over the past decade, several approaches to experimentally reprogram cell fate have emerged. Importantly, efforts to improve and understand these approaches have uncovered novel molecular determinants that reinforce lineage commitment and help resist cell fate changes. In this Review, we summarize recent studies that have provided insights into the various chromatin factors, post-transcriptional processes and features of genomic organization that safeguard cell identity in the context of reprogramming to pluripotency. We also highlight how these factors function in other experimental, physiological and pathological cell fate transitions, including direct lineage conversion, pluripotency-to-totipotency reversion and cancer.

Indexed as

Cellular ReprogrammingAnimalsChromatinHumansNeoplasm ProteinsNeoplasmsNeoplastic Stem CellsTranscription FactorsChromatinNeoplasm ProteinsTranscription FactorsCell identityReprogrammingSafeguarding

Identifiers

PMID31792064
PMCPMC6918747

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.