A systematic review of single-cell RNA sequencing applications and innovations

IF 3.1 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2025-01-30 DOI:10.1016/j.compbiolchem.2025.108362
Fahamidur Rahaman Rafi , Nafeya Rahman Heya , Md Sadman Hafiz , Jamin Rahman Jim , Md Mohsin Kabir , M.F. Mridha
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Abstract

Bulk RNA sequencing is one type of RNA sequencing technique, as well as targeted RNA sequencing and whole transcriptome sequencing. It provides valuable insights into gene expression in specific cell populations or regions. However, these methods often miss the diversity of cells within complex tissues. This restriction is overcome by single-cell RNA sequencing, which records gene expression at the single-cell level. It offers a detailed picture of the diversity of cells. It is essential to study glucose homeostasis. It offers thorough explanations of cellular variation. Networks and Governance Dynamics The use of scRNA-seq in islet cells is reviewed in this study, along with sample preparation, sequencing, and computational analysis. It highlights advances in understanding cell types. Gene activity and cell interactions. Along with the challenges and limitations of scRNA-seq, this review highlights the importance of scRNA-seq in understanding complex biological processes and diseases. It is an essential resource for future research and method development in this field, which will help to build personalized treatment.

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单细胞RNA测序应用和创新的系统综述
大量RNA测序是RNA测序技术的一种,还有靶向RNA测序和全转录组测序。它为特定细胞群或区域的基因表达提供了有价值的见解。然而,这些方法往往忽略了复杂组织中细胞的多样性。单细胞RNA测序能够在单细胞水平上记录基因表达,从而克服这一限制。它提供了细胞多样性的详细图像。研究葡萄糖稳态是必要的。它对细胞变异提供了详尽的解释。本研究综述了scRNA-seq在胰岛细胞中的应用,以及样品制备、测序和计算分析。它强调了在理解细胞类型方面的进步。基因活性和细胞相互作用。随着scRNA-seq的挑战和局限性,这篇综述强调了scRNA-seq在理解复杂生物过程和疾病中的重要性。它是该领域未来研究和方法开发的重要资源,将有助于建立个性化治疗。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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