ReviewComputational and structural biotechnology journal2022
New insights empowered by single-cell sequencing: From neural crest to enteric nervous system.
Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Time-resolved morphological and transcriptomic characterization of early enteric neuron subtype emergence in chick.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Joint disruption ofProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Clinical and Genetic Correlation in Neurocristopathies: Bridging a Precision Medicine Gap.Journal of clinical medicine · 2024Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid development of single-cell sequencing technologies, it has become a powerful strategy for the discovery of rare cells and delineating the molecular basis underlying various biological processes. Use of single-cell multimodal sequencing to explore the chromatin accessibility, gene expression and spatial transcriptome has propelled us to success in untangling the unknowns in the enteric nervous system (ENS) and provided unprecedented resources for building new diagnostic framework for enteric neuropathies. Here, we summarize the recent findings of single-cell multimodal sequencing, especially focusing on the most commonly used single-cell RNA sequencing (scRNA-seq) on ENS cells, ranged from the progenitors, neural crest (NC) cells, to the mature ENS circuit, in both human and mouse. These studies have highlighted the heterogeneity of ENS cells at various developmental stages and discovered numerous novel cell types. We will also discuss various computational methods that were used to reconstruct the differentiation trajectories of the developing ENS and to elucidate the cell fate decisions. Profiling disease mechanisms and cellular drug responses with single-cell multimodal omics techniques likely leads to a paradigm shift in the field of biomedical research. Further improvements in the high-resolution sequencing platforms and integrative computational tools will greatly hasten their applications in both the basic and translational medicine.
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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.