Evidence map›Paper›PMID 32081627›Full record

ReviewSeminars in cell & developmental biology2020

Functional analysis of islet cells in vitro, in situ, and in vivo.

Wen-Hong Li

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Frontiers in endocrinology · 2021
    Article
  8. 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

1 author at 1 institution in 1 country.

Wen-Hong LiDepartments of Cell Biology and of Biochemistry, University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd., Dallas, TX, 75390-9039, United States. Electronic address: Wen-hong.li@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · US

Funding

Request for Administrative Supplement to GM132610 entitled "Probes and techniques for biological imaging applications"R01GM132610 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI LI, WEN-HONG · 2019 to 2022
$2.2M
NIGMS NIH HHS R01 GM132610
6 · The paper itself

Abstract

The islet of Langerhans contains at least five types of endocrine cells producing distinct hormones. In response to nutrient or neuronal stimulation, islet endocrine cells release biochemicals including peptide hormones to regulate metabolism and to control glucose homeostasis. It is now recognized that malfunction of islet cells, notably insufficient insulin release of β-cells and hypersecretion of glucagon from α-cells, represents a causal event leading to hyperglycemia and frank diabetes, a disease that is increasing at an alarming rate to reach an epidemic level worldwide. Understanding the mechanisms regulating stimulus-secretion coupling and investigating how islet β-cells maintain a robust secretory activity are important topics in islet biology and diabetes research. To facilitate such studies, a number of biological systems and assay platforms have been developed for the functional analysis of islet cells. These technologies have enabled detailed analyses of individual islets at the cellular level, either in vitro, in situ, or in vivo.

Indexed as

Diabetes MellitusHumansIn Vitro TechniquesIn Vivo DosimetryIslets of LangerhansAlpha cellBeta cellBeta cell heterogeneityCalcium imagingDelta cellDiabetesHuman isletsImaging hormone secretionInsulin secretionPancreatic isletsPseudoisletZIMIR

Identifiers

PMID32081627
PMCPMC8155742
OpenAlexW3008899290

What OpenQuestion holds

Textmetadata
LicenceTDM
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.