Evidence map›Paper›PMID 42418327›Full record

ArticleSTAR protocols2026

Protocol for minimized-bias profiling of liver and visceral adipose tissue in mice using integrated single-nucleus RNA sequencing.

Lei Li, Jonathan G Pol, Christophe Desterke, Wanchao Hu, Nicolas Trainel, Morgane Benardeau, Manuela Lizarralde-Guerrero, Maria Chiara Maiuri, Guido Kroemer, Gabriel Perlemuter and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Lei LiUniversité Paris-Saclay, INSERM UMR 996-MI2, Microbiome and Metabolome in Liver Disease: from Susceptibility to Treatment, 91400 Orsay, France. Electronic address: lei.li@universite-paris-saclay.fr.
Jonathan G PolCentre de Recherche des Cordeliers, Equipe Labellisée Par La Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, INSERM U1138, Institut Universitaire de France, 75006 Paris, France.
Christophe DesterkeINSERM UMRS 1310, Université Paris-Saclay, Faculté de Médecine, 94270 Le Kremlin-Bicêtre, France.
Wanchao HuUniversité Paris-Saclay, INSERM UMR 996-MI2, Microbiome and Metabolome in Liver Disease: from Susceptibility to Treatment, 91400 Orsay, France.
Nicolas TrainelUniversité Paris-Saclay, INSERM UMR 996-MI2, Microbiome and Metabolome in Liver Disease: from Susceptibility to Treatment, 91400 Orsay, France.
Morgane BenardeauUniversité Paris-Saclay, INSERM UMR 996-MI2, Microbiome and Metabolome in Liver Disease: from Susceptibility to Treatment, 91400 Orsay, France.
Manuela Lizarralde-GuerreroCentre de Recherche des Cordeliers, Equipe Labellisée Par La Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, INSERM U1138, Institut Universitaire de France, 75006 Paris, France; Université Paris-Saclay, Faculté de Médecine, 94270 Kremlin-Bicêtre, France.
Maria Chiara MaiuriCentre de Recherche des Cordeliers, Equipe Labellisée Par La Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, INSERM U1138, Institut Universitaire de France, 75006 Paris, France; Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, 80131 Naples, Italy.
Guido KroemerCentre de Recherche des Cordeliers, Equipe Labellisée Par La Ligue Contre le Cancer, Université de Paris Cité, Sorbonne Université, INSERM U1138, Institut Universitaire de France, 75006 Paris, France; Université Paris-Saclay, INSERM US23 / CNRS UAR 3655, Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94800 Villejuif, France; Institut Du Cancer Paris CARPEM, Department of Biology, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France.
Gabriel PerlemuterUniversité Paris-Saclay, INSERM UMR 996-MI2, Microbiome and Metabolome in Liver Disease: from Susceptibility to Treatment, 91400 Orsay, France; Service Hépato-gastroentérologie et Nutrition, Hôpital Antoine-Béclère, AP-HP Université Paris-Saclay, 92140 Clamart, France.
Anne-Marie CassardUniversité Paris-Saclay, INSERM UMR 996-MI2, Microbiome and Metabolome in Liver Disease: from Susceptibility to Treatment, 91400 Orsay, France. Electronic address: cassard.doulcier@universite-paris-saclay.fr.
Cosmin Sebastian VoicanUniversité Paris-Saclay, INSERM UMR 996-MI2, Microbiome and Metabolome in Liver Disease: from Susceptibility to Treatment, 91400 Orsay, France; Université Paris-Saclay, Faculté de Médecine, 94270 Kremlin-Bicêtre, France; Service Hépato-gastroentérologie et Nutrition, Hôpital Antoine-Béclère, AP-HP Université Paris-Saclay, 92140 Clamart, France. Electronic address: cosmin.voican@aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-nucleus RNA sequencing (snRNA-seq) enables transcriptomic profiling of tissues that are difficult to dissociate. Here, we present an integrated protocol combining tissue-specific nuclei extraction and selective enrichment to isolate high-quality nuclei from fresh mouse liver and visceral adipose tissue (VAT). We describe steps for single-nucleus extraction, magnetic enrichment, BD Rhapsody capture, cDNA synthesis, whole-transcriptome amplification, index PCR, library quality control, and shallow sequencing-based assessment of cell-type recovery, while separating whole-liver and non-parenchymal cell workflows to reduce dissociation bias.

Indexed as

MetabolismMolecular BiologyRNAseqSequencingSingle Cell

Identifiers

PMID42418327
PMCPMC13356638

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.