Evidence map›Paper›PMID 31504890›Full record

ArticleProtein engineering, design & selection : PEDS2019

RNA-seq-based identification of Star upregulation by islet amyloid formation.

Meghan F Hogan, Mark Ziemann, Harikrishnan K N, Hanah Rodriguez, Antony Kaspi, Nathalie Esser, Andrew T Templin, Assam El-Osta, Steven E Kahn

Open access · bronzeAbstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2019. 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
0.9field-weighted citation impact, top 25% 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, 14 citations in OpenAlex.

  1. Article
  2. Review
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  5. Article
  6. RSC advances · 2023
    Review
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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

9 authors at 4 institutions in 4 countries.

Meghan F HoganDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA 98018, USA.
Mark ZiemannEpigenetics in Human Health and Disease, Department of Diabetes, Monash University, Melbourne, VIC 3004, Australia.
Harikrishnan K NEpigenetics in Human Health and Disease, Department of Diabetes, Monash University, Melbourne, VIC 3004, Australia.
Hanah RodriguezEpigenetics in Human Health and Disease, Department of Diabetes, Monash University, Melbourne, VIC 3004, Australia.
Antony KaspiEpigenetics in Human Health and Disease, Department of Diabetes, Monash University, Melbourne, VIC 3004, Australia.
Nathalie EsserDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA 98018, USA.
Andrew T TemplinDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA 98018, USA.
Assam El-OstaEpigenetics in Human Health and Disease, Department of Diabetes, Monash University, Melbourne, VIC 3004, Australia.
Steven E KahnDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA 98018, USA.
Monash University · AUUniversity of Washington · USPrince of Wales Hospital · CNVA Puget Sound Health Care System · US

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1986 to 2026
$41.4M
Nutrition, Obesity and Atherosclerosis Training ProgramT32HL007028 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1985 to 2026
$6.4M
The Role of Apoptosis Repressor with Caspase Recruitment Domain (ARC) in Amyloid-Induced Beta-cell ApoptosisF32DK107022 · NIDDK · UNIVERSITY OF WASHINGTON · PI TEMPLIN, ANDREW T. · 2015 to 2018
$171k
NHLBI NIH HHS T32 HL007028NIDDK NIH HHS F32 DK107022NIDDK NIH HHS P30 DK017047
6 · The paper itself

Abstract

Aggregation of islet amyloid polypeptide (IAPP) into islet amyloid results in β-cell toxicity in human type 2 diabetes. To determine the effect of islet amyloid formation on gene expression, we performed ribonucleic acid (RNA) sequencing (RNA-seq) analysis using cultured islets from either wild-type mice (mIAPP), which are not amyloid prone, or mice that express human IAPP (hIAPP), which develop amyloid. Comparing mIAPP and hIAPP islets, 5025 genes were differentially regulated (2439 upregulated and 2586 downregulated). When considering gene sets (reactomes), 248 and 52 pathways were up- and downregulated, respectively. Of the top 100 genes upregulated under two conditions of amyloid formation, seven were common. Of these seven genes, only steroidogenic acute regulatory protein (Star) demonstrated no effect of glucose per se to modify its expression. We confirmed this differential gene expression using quantitative reverse transcription polymerase chain reaction (qRT-PCR) and also demonstrated the presence of STAR protein in islets containing amyloid. Furthermore, Star is a part of reactomes representing metabolism, metabolism of lipids, metabolism of steroid hormones, metabolism of steroids and pregnenolone biosynthesis. Thus, examining gene expression that is differentially regulated by islet amyloid has the ability to identify new molecules involved in islet physiology and pathology applicable to type 2 diabetes.

Indexed as

RNA-SeqUp-RegulationAmyloidAnimalsDose-Response Relationship, DrugGlucoseHumansIslets of LangerhansMiceMice, Inbred C57BLPhosphoproteinsSteroidogenic Acute Regulatory ProteinAmyloidGlucosePhosphoproteinsSteroidogenic Acute Regulatory Proteinamylinamyloiddiabetesglucoseislet amyloid polypeptideisletsRNA-seqsteroidogenic acute regulatory proteinβ-cell

Identifiers

PMID31504890
PMCPMC6908819
OpenAlexW2970924085

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.