ArticleOmics : a journal of integrative biology2020
A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver.
Article in Omics : a journal of integrative biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 35 citations in OpenAlex.
- The Gut-Liver Axis in Metabolic Dysfunction-Associated Steatotic Liver Disease: From Mechanistic Insights to Precision Therapeutics.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
- <p>Beyond hepatic stellate cell heterogeneity: Resolving fibrosis, restoring regeneration (Review)</p>.International journal of molecular medicine · 2026Review
- Single-Gene Mutations in Hepatocellular Carcinoma: Applications and Challenges in Precision Medicine.International journal of medical sciences · 2025Review
- Article
- Spatial genomics: mapping human steatotic liver disease.Nature reviews. Gastroenterology & hepatology · 2024Review
- Single-nucleus transcriptome sequencing reveals hepatic cell atlas in pigs.BMC genomics · 2023Article
- Understanding tumour endothelial cell heterogeneity and function from single-cell omics.Nature reviews. Cancer · 2023Review
- Angiocrine Signaling in Sinusoidal Health and Disease.Seminars in liver disease · 2023Review
- Transcriptomics, metabolomics, and in-silico drug predictions for liver damage in young and aged burn victims.Communications biology · 2023Article
- A protocol for single nucleus RNA-seq from frozen skeletal muscle.Life science alliance · 2023Article
- Single-cell transcriptome sequencing reveals heterogeneity of gastric cancer: progress and prospects.Frontiers in oncology · 2023Review
- scSPLAT, a scalable plate-based protocol for single cell WGBS library preparation.Scientific reports · 2022Article
- An overview of technologies for MS-based proteomics-centric multi-omics.Expert review of proteomics · 2022Article
- Nucleic acid biomarkers to assess graft injury after liver transplantation.JHEP reports : innovation in hepatology · 2022Review
- Organ-Specific Endothelial Cell Differentiation and Impact of Microenvironmental Cues on Endothelial Heterogeneity.International journal of molecular sciences · 2022Review
- Studies on the molecular level changes and potential resistance mechanism ofFrontiers in genetics · 2022Article
- The ThioesteraseOmics : a journal of integrative biology · 2021Article
- Quantitative proteomics characterization of cancer biomarkers and treatment.Molecular therapy oncolytics · 2021Review
- Acute liver failure is regulated by MYC- and microbiome-dependent programs.Nature medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The liver is the largest solid organ and a primary metabolic hub. In recent years, intact cell nuclei were used to perform single-nuclei RNA-seq (snRNA-seq) for tissues difficult to dissociate and for flash-frozen archived tissue samples to discover unknown and rare cell subpopulations. In this study, we performed snRNA-seq of a liver sample to identify subpopulations of cells based on nuclear transcriptomics. In 4282 single nuclei, we detected, on average, 1377 active genes and we identified seven major cell types. We integrated data from 94,286 distal interactions (
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.