Evidence map›Paper›PMID 36302085›Full record

ReviewDiabetic medicine : a journal of the British Diabetic Association2022

Using single-cell multi-omics screening of human fetal pancreas to identify novel players in human beta cell development.

Oladapo E Olaniru, Philippa Hook, Shanta J Persaud

Open access · hybridAbstract readReview
In one paragraph

Review in Diabetic medicine : a journal of the British Diabetic Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 1 country.

Oladapo E OlaniruDepartment of Diabetes, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK.
Philippa HookDepartment of Diabetes, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK.
Shanta J PersaudDepartment of Diabetes, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK.
King's College School · GBKing's College London · GB

Funding

Medical Research Council MR/R006237/1
6 · The paper itself

Abstract

Islet transplantation from organ donors can considerably improve glucose homeostasis and well-being in individuals with type 1 diabetes, where the beta cells are destroyed by the autoimmune attack, but there are insufficient donor islets to make this a widespread therapy. Strategies are therefore being developed to generate unlimited amounts of insulin-producing beta cells from pluripotent stem cells, with the aim that they will be transplanted to treat diabetes. Whilst much progress has been made in recent years in the directed differentiation of pluripotent stem cells to beta-like cells, essential gaps still exist in generating stem cell-derived beta cells that are fully functional in vitro. This short review provides details of recent multi-'omics' studies of the human fetal pancreas, which are revealing granular information on the various cell types in the developing pancreas. It is anticipated that this fine mapping of the pancreatic cells at single-cell resolution will provide additional insights that can be utilised to reproducibly produce human beta cells in vitro that have the functional characteristics of beta cells within native human islets.

Indexed as

Insulin-Secreting CellsIslets of Langerhans TransplantationPluripotent Stem CellsCell DifferentiationHumansPancreasbeta cellsdevelopmentgene analysishuman pancreasstem cellstranscription factors

Identifiers

PMID36302085
PMCPMC9828353
OpenAlexW4307502919

What Socratic 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 Socratic graph.