Evidence map›Paper›PMID 35838597›Full record

ReviewCellular reprogramming2022

Direct Reprogramming of Different Cell Lineages into Pancreatic β-Like Cells.

Jonathan L Colarusso, Qiao Zhou

Abstract readReview
In one paragraph

Review in Cellular reprogramming, 2022. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Novel pathogenicCold Spring Harbor molecular case studies · 2023
    Article
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

2 authors.

Jonathan L ColarussoDivision of Regenerative Medicine, Department of Medicine, Ansary Stem Cell Institute, Weill Cornell Medicine, New York, New York, USA.
Qiao ZhouDivision of Regenerative Medicine, Department of Medicine, Ansary Stem Cell Institute, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0002-0099-3909

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
Reprogram gastric tissue to functional insulin-secreting cellsR01DK106253 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZHOU, QIAO JOE · 2016 to 2020
$2.5M
Generating novel sources of functional human insulin-secreting cells for T1D modelingUC4DK116280 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZHOU, QIAO JOE · 2017 to 2017
$2.1M
NIDDK NIH HHS P30 DK020541NIDDK NIH HHS R01 DK106253NIDDK NIH HHS UC4 DK116280
6 · The paper itself

Abstract

One major goal of regenerative medicine is the production of pancreatic endocrine islets to treat insulin-dependent diabetic patients. Among the different methods developed to achieve this goal, a particularly promising approach is direct lineage reprogramming, in which non-β-cells are directly converted to glucose-responsive, insulin-secreting β-like cells. Efforts by different research groups have led to critical insights in the inducing factors necessary and types of somatic tissues suitable for direct conversion to β-like cells. Nevertheless, there is limited understanding of the molecular mechanisms underlying direct cell fate conversion. Significant challenges also remain in translating discoveries into therapeutics that will eventually benefit diabetic patients. This review aims to cover the advances made in the direct reprogramming of somatic cells into β-like cells and discuss the remaining challenges.

Indexed as

Diabetes MellitusInsulin-Secreting CellsCell LineageCellular ReprogrammingGlucoseHumansInsulinPancreasGlucoseInsulinbeta (β) celldirect reprogrammingendocrine pancreastransdifferentiationtype 1 diabetes (T1D)

Identifiers

PMID35838597
PMCPMC9634980

What OpenQuestion holds

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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.