ReviewGastroenterology2020
Use of Single-Cell -Omic Technologies to Study the Gastrointestinal Tract and Diseases, From Single Cell Identities to Patient Features.
Review in Gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Multi-omics approaches for deciphering the complexity of traditional Chinese medicine syndromes in stroke: A systematic review.Frontiers in pharmacology · 2022Pooled it
- Long Noncoding RNANon-coding RNA · 2026Article
- High-Throughput Fluorescence-Guided Sequential Single-Cell MALDI-ICC Mass Spectrometry.Analytical chemistry · 2025Article
- Toti-N-glycan Recognition Enables Universal Multiplexed Single-Nucleus RNA Sequencing.Research (Washington, D.C.) · 2025Article
- Metabolomics reveals soluble epoxide hydrolase as a therapeutic target for high-sucrose diet-mediated gut barrier dysfunction.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Control of Paneth cell function by HuR regulates gut mucosal growth by altering stem cell activity.Life science alliance · 2023Article
- Omics and Multi-Omics in IBD: No Integration, No Breakthroughs.International journal of molecular sciences · 2023Review
- The landscape of immune dysregulation in Crohn's disease revealed through single-cell transcriptomic profiling in the ileum and colon.Immunity · 2023Article
- Molecular pathogenesis, targeted therapies, and future perspectives for gastric cancer.Seminars in cancer biology · 2022Review
- Gastrointestinal mucosal biopsies in Parkinson's disease: beyond alpha-synuclein detection.Journal of neural transmission (Vienna, Austria : 1996) · 2022Review
- Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images.Bioinformatics (Oxford, England) · 2022Article
- Discovering Immune-Mediated Mechanisms of Gastric Carcinogenesis Through Single-Cell RNA Sequencing.Frontiers in immunology · 2022Review
- Machine Learning for Future Subtyping of the Tumor Microenvironment of Gastro-Esophageal Adenocarcinomas.Cancers · 2021Review
- Lipidomic Typing of Colorectal Cancer Tissue Containing Tumour-Infiltrating Lymphocytes by MALDI Mass Spectrometry Imaging.Metabolites · 2021Article
- Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model.Computational and mathematical methods in medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Single cells are the building blocks of tissue systems that determine organ phenotypes, behaviors, and functions. Understanding the differences between cell types and their activities might provide us with insights into normal tissue physiology, development of disease, and new therapeutic strategies. Although -omic level single-cell technologies are a relatively recent development that have been used only in research settings, these approaches might eventually be used in the clinic. We review the prospects of applying single-cell genome, transcriptome, epigenome, proteome, and metabolome analyses to gastroenterology and hepatology research. Combining data from multi-omic platforms coupled to rapid technological development could lead to new diagnostic, prognostic, and therapeutic approaches.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.