ReviewFrontiers in cell and developmental biology2021
Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing.
Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Cotton metabolism regulatory network: Unraveling key genes and pathways in fiber development and growth regulation.Plant communications · 2025Article
- scMGCN: A Multi-View Graph Convolutional Network for Cell Type Identification in scRNA-seq Data.International journal of molecular sciences · 2024Article
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Authors and funding
10 authors.
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Abstract
Transcriptome analysis is used to study gene expression in human tissues. It can promote the discovery of new therapeutic targets for related diseases by characterizing the endocrine function of pancreatic physiology and pathology, as well as the gene expression of pancreatic tumors. Compared to whole-tissue RNA sequencing, single-cell RNA sequencing (scRNA-seq) can detect transcriptional activity within a single cell. The scRNA-seq had an invaluable contribution to discovering previously unknown cell subtypes in normal and diseased pancreases, studying the functional role of rare islet cells, and studying various types of cells in diabetes as well as cancer. Here, we review the recent
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