Evidence map›Paper›PMID 28951823›Full record

ReviewMolecular metabolism2017

Interrogating islets in health and disease with single-cell technologies.

Andrea C Carrano, Francesca Mulas, Chun Zeng, Maike Sander

Open access · goldAbstract readReview
In one paragraph

Review in Molecular metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Advances of single-cell genomics and epigenomics in human disease: where are we now?Mammalian genome : official journal of the International Mammalian Genome Society · 2020
    Review
  15. Paracrine signaling in islet function and survival.Journal of molecular medicine (Berlin, Germany) · 2020
    Review
  16. Recovery of viable endocrine-specific cells and transcriptomes from human pancreatic islet-engrafted mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  17. Article
  18. Review
  19. Review
  20. 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

4 authors at 1 institution in 1 country.

Andrea C CarranoDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, 2880 Torrey Pines Scenic Drive, La Jolla, CA 92037, USA.
Francesca MulasDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, 2880 Torrey Pines Scenic Drive, La Jolla, CA 92037, USA.
Chun ZengDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, 2880 Torrey Pines Scenic Drive, La Jolla, CA 92037, USA.
Maike SanderDepartments of Pediatrics and Cellular & Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, 2880 Torrey Pines Scenic Drive, La Jolla, CA 92037, USA.
University of California San Diego · US

Funding

Nkx6 gene function in pancreas developmentR01DK068471 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI WORTHAM, MATTHEW · 2004 to 2024
$6.6M
Novel insights into nutrient-dependent regulation of beta cell proliferationR01DK078803 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDER, MAIKE · 2007 to 2022
$4.4M
NIDDK NIH HHS R01 DK068471NIDDK NIH HHS R01 DK078803
6 · The paper itself

Abstract

backgroundBlood glucose levels are tightly controlled by the coordinated actions of hormone-producing endocrine cells that reside in pancreatic islets. Islet cell malfunction underlies diabetes development and progression. Due to the cellular heterogeneity within islets, it has been challenging to uncover how specific islet cells contribute to glucose homeostasis and diabetes pathogenesis. Recent advances in single-cell technologies and computational methods have opened up new avenues to resolve islet heterogeneity and study islet cell states in health and disease. SCOPE OF REVIEW: In the past year, a multitude of studies have been published that used single-cell approaches to interrogate the transcriptome and proteome of the different islet cell types. Here, we summarize the conclusions of these studies, as well as discuss the technologies used and the challenges faced with computational analysis of single-cell data from islet studies. MAJOR

conclusionsBy analyzing single islet cells from rodents and humans at different ages and disease states, the studies reviewed here have provided new insight into endocrine cell function and facilitated a high resolution molecular characterization of poorly understood processes, including regeneration, maturation, and diabetes pathogenesis. Gene expression programs and pathways identified in these studies pave the way for the discovery of new targets and approaches to prevent, monitor, and treat diabetes.

Indexed as

AnimalsBlood GlucoseDiabetes Mellitus, Type 2Gene Expression ProfilingHumansInsulinInsulin-Secreting CellsIslets of LangerhansProteomeSingle-Cell AnalysisTranscriptomeBlood GlucoseInsulinProteomeEndocrine cellHeterogeneityPancreatic isletRNA-seqSingle-cellType 2 diabetes

Identifiers

PMID28951823
PMCPMC5605723
OpenAlexW2610956570

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.