Evidence map›Paper›PMID 34376240›Full record

ArticleGenome medicine2021

Using single-nucleus RNA-sequencing to interrogate transcriptomic profiles of archived human pancreatic islets.

Giorgio Basile, Sevim Kahraman, Ercument Dirice, Hui Pan, Jonathan M Dreyfuss, Rohit N Kulkarni

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

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  10. Effects of oxycodone on placental lineages: Evidence from the transcriptome profile of mouse trophoblast giant cells.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  12. Integrating single-cell RNA-seq datasets with substantial batch effects.bioRxiv : the preprint server for biology · 2024
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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

6 authors at 2 institutions in 1 country.

Giorgio Basile *Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center and Harvard Medical School, Boston, MA, 02215, USA.
Sevim Kahraman *Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center and Harvard Medical School, Boston, MA, 02215, USA.
Ercument Dirice *Section of Islet Cell and Regenerative Biology, Joslin Diabetes Center and Harvard Medical School, Boston, MA, 02215, USA.
Hui PanBioinformatics and Biostatistics Core, Joslin Diabetes Center and Harvard Medical School, Boston, MA, USA.
Jonathan M DreyfussBioinformatics and Biostatistics Core, Joslin Diabetes Center and Harvard Medical School, Boston, MA, USA.
Rohit N KulkarniSection of Islet Cell and Regenerative Biology, Joslin Diabetes Center and Harvard Medical School, Boston, MA, 02215, USA. Rohit.Kulkarni@joslin.harvard.edu.ORCID 0000-0001-9900-4922
Joslin Diabetes Center · USBrigham and Women's Hospital · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Validation of small molecule 12-lipoxygenase inhibitors in metabolic diseaseR01DK105588 · NIDDK · UNIVERSITY OF CHICAGO · PI KULKARNI, ROHIT N., MIRMIRA, RAGHAVENDRA G · 2015 to 2024
$5.5M
Interplay Between SERPINB1 and TLR2/TLR4 in Beta Cell RegenerationR01DK117639 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ARVAN, PETER, KULKARNI, ROHIT N. · 2019 to 2023
$3.0M
Interrogation of dynamic RNA modifications in beta cells in type 1 diabetesUC4DK116278 · NIDDK · JOSLIN DIABETES CENTER · PI HE, CHUAN, KULKARNI, ROHIT N. · 2017 to 2017
$1.9M
Role of IGF-1 and insulin receptors beta-cell survivalR56DK067536 · NIDDK · JOSLIN DIABETES CENTER · PI KULKARNI, ROHIT N. · 2009 to 2010
$291k
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK105588NIDDK NIH HHS R01 DK117639NIDDK NIH HHS R56 DK067536NIDDK NIH HHS UC4 DK116278NIH HHS RO1 DK067536NIH HHS RO1 DK105588NIH HHS RO1 DK117639NIH HHS UC4 DK 116278
6 · The paper itself

Abstract

backgroundHuman pancreatic islets are a central focus of research in metabolic studies. Transcriptomics is frequently used to interrogate alterations in cultured human islet cells using single-cell RNA-sequencing (scRNA-seq). We introduce single-nucleus RNA-sequencing (snRNA-seq) as an alternative approach for investigating transplanted human islets.

methodsThe Nuclei EZ protocol was used to obtain nuclear preparations from fresh and frozen human islet cells. Such preparations were first used to generate snRNA-seq datasets and compared to scRNA-seq output obtained from cells from the same donor. Finally, we employed snRNA-seq to obtain the transcriptomic profile of archived human islets engrafted in immunodeficient animals.

resultsWe observed virtually complete concordance in identifying cell types and gene proportions as well as a strong association of global and islet cell type gene signatures between scRNA-seq and snRNA-seq applied to fresh and frozen cultured or transplanted human islet samples.

conclusionsWe propose snRNA-seq as a reliable strategy to probe transcriptomic profiles of freshly harvested or frozen sources of transplanted human islet cells especially when scRNA-seq is not ideal.

Indexed as

Gene Expression ProfilingGene Expression RegulationSingle-Cell AnalysisTranscriptomeAnimalsBiomarkersExome SequencingHumansIslets of LangerhansIslets of Langerhans TransplantationMiceSequence Analysis, DNABiomarkersArchived tissueDiabetesFrozen samplesHuman β-cellsSingle-cell RNA-sequencingSingle-nucleus RNA-sequencingTransplanted human islets

Identifiers

PMID34376240
PMCPMC8356387
OpenAlexW3193029008

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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.