Evidence map›Paper›PMID 30343423›Full record

ReviewCurrent diabetes reports2018

Who Will Win: Induced Pluripotent Stem Cells Versus Embryonic Stem Cells for β Cell Replacement and Diabetes Disease Modeling?

Elena F Jacobson, Emmanuel S Tzanakakis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Dual Mode of Mitochondrial ROS Action during Reprogramming to Pluripotency.International journal of molecular sciences · 2022
    Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Economics of Beta-Cell Replacement Therapy.Current diabetes reports · 2019
    Review
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 at 1 institution in 1 country.

Elena F JacobsonDepartment of Chemical and Biological Engineering, Tufts University, Science and Technology Center, Room 276A, Medford, MA, 02155, USA.
Emmanuel S TzanakakisDepartment of Chemical and Biological Engineering, Tufts University, Science and Technology Center, Room 276A, Medford, MA, 02155, USA. Emmanuel.Tzanakakis@tufts.edu.
Tufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewEver since the reprogramming of human fibroblasts to induced pluripotent stem cells (hiPSCs), scientists have been trying to determine if hiPSCs can give rise to progeny akin to native terminally differentiated cells as human embryonic stem cells (hESCs) do. Many different somatic cell types have been successfully reprogrammed via a variety of methods. In this review, we will discuss recent studies comparing hiPSCs and hESCs and their ability to differentiate to desired cell types as well as explore diabetes disease models. RECENT

findingsBoth somatic cell origin and the reprogramming method are important to the epigenetic state of the hiPSCs; however, genetic background contributes the most to differences seen between hiPSCs and hESCs. Based on our review of the relevant literature, hiPSCs display differences compared to hESCs, including a higher propensity for specification toward particular cell types based on memory retained from the somatic cell of origin. Moreover, hiPSCs provide a unique opportunity for creating diabetes disease models.

Indexed as

Models, BiologicalCell DifferentiationDiabetes MellitusEmbryonic Stem CellsHumansInduced Pluripotent Stem CellsInsulin-Secreting CellsDiabetesDifferentiationDisease modelsHuman pluripotent stem cellsReprogramming

Identifiers

PMID30343423
OpenAlexW2895862532

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.