Evidence map›Paper›PMID 34253736›Full record

ArticleNature communications2021

Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy.

M L Richter, I K Deligiannis, K Yin, A Danese, E Lleshi, P Coupland, C A Vallejos, K P Matchett, N C Henderson, M Colome-Tatche and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
6.7field-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

48 citing papers in PubMed, 74 citations in OpenAlex.

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  12. Influencing factors and mechanism of hepatocyte regeneration.Journal of translational medicine · 2025
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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

11 authors at 4 institutions in 2 countries.

M L Richter *Helmholtz Pioneer Campus (HPC), Helmholtz Zentrum München, Neuherberg, Germany.ORCID 0000-0002-8510-0128
I K Deligiannis *Helmholtz Pioneer Campus (HPC), Helmholtz Zentrum München, Neuherberg, Germany.
K YinHelmholtz Pioneer Campus (HPC), Helmholtz Zentrum München, Neuherberg, Germany.
A DaneseInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.ORCID 0000-0001-8810-4346
E LleshiUniversity of Cambridge, Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, United Kingdom.
P CouplandUniversity of Cambridge, Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, United Kingdom.ORCID 0000-0002-2871-3374
C A VallejosMRC Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.ORCID 0000-0003-3638-1960
K P MatchettCentre for Inflammation Research, The Queen's Medical Research Institute, University of Edinburgh, Little France Crescent, Edinburgh, United Kingdom.ORCID 0000-0001-8710-7721
N C HendersonMRC Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.ORCID 0000-0002-2273-4094
M Colome-TatcheInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany. maria.colome@helmholtz-muenchen.de.ORCID 0000-0002-2224-7560
C P Martinez-JimenezHelmholtz Pioneer Campus (HPC), Helmholtz Zentrum München, Neuherberg, Germany. celia.martinez@helmholtz-muenchen.de.ORCID 0000-0002-9534-6201
Helmholtz Zentrum München · DEUniversity of Cambridge · GBWestern General Hospital · GBCentre for Inflammation Research · GB

Funding

Cancer Research UKWellcome TrustWellcome Trust 219542/Z/19/ZWellcome Trust WT098051
6 · The paper itself

Abstract

Single-cell RNA-seq reveals the role of pathogenic cell populations in development and progression of chronic diseases. In order to expand our knowledge on cellular heterogeneity, we have developed a single-nucleus RNA-seq2 method tailored for the comprehensive analysis of the nuclear transcriptome from frozen tissues, allowing the dissection of all cell types present in the liver, regardless of cell size or cellular fragility. We use this approach to characterize the transcriptional profile of individual hepatocytes with different levels of ploidy, and have discovered that ploidy states are associated with different metabolic potential, and gene expression in tetraploid mononucleated hepatocytes is conditioned by their position within the hepatic lobule. Our work reveals a remarkable crosstalk between gene dosage and spatial distribution of hepatocytes.

Indexed as

PloidiesSequence Analysis, RNASingle-Cell AnalysisAnimalsBiomarkersCell NucleusChronic DiseaseFrozen SectionsGene Expression ProfilingGene Expression RegulationGene OntologyHepatocytesLiverLiver DiseasesMiceMice, Inbred C57BLBiomarkersTranscription Factors

Identifiers

PMID34253736
PMCPMC8275628
OpenAlexW3180187472

What OpenQuestion holds

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LicenceCC BY
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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.